Empathy With Muslim Victims of Discrimination: Can Personalization and Emotionalization in News Reporting Pave the Way?

Abstract

Arabic

Spanish

French

Chinese

Hate crimes against Muslims in the United States have been on the rise since 2016 (FBI, 2022), discouraging this group’s participation in public life. Most Americans, therefore, encounter Muslims only via media representations. We investigated if two journalistic storytelling devices can kindle in white non-Muslim Americans empathy and supportive attitudes toward Muslim women who are victims of discrimination. Indeed, personalization and emotionalization of news stories increased empathy for Muslim victims among participants with high Muslim prejudice. Gender differences moderated the effect of emotionalization, with women participants reporting more empathy and willingness to help victims than men.

Keywords

personalization emotionalization news empathy prosocial behavior Muslim discrimination gender

Anti-Muslim sentiment in the United States has dramatically fluctuated in the aftermath of the 9/11 attacks, but the longer-term trajectory of prejudice (Ogan et al., 2014; Pew Research Center, 2021) and hate crimes (Müller & Schwarz, 2023; Turpin-Petrosino, 2022) against this group is upward. With the rise of Islamophobia, Muslims in the United States fear and experience prejudice and discrimination in everyday life at unprecedented levels (Pew Research Center, 2017)—which sets in motion ripples of tension, polarization, and institutional distrust that reverberate throughout American society. Indeed, direct and indirect experiences of discrimination make members of minority groups distrust the government, discourage assimilation into American civic society, and possibly amplify tension between groups (Saleem et al., 2017, 2019; Saleem & Ramasubramanian, 2019). There are strong indicators that this corrosive yield of systematic discrimination will continue as Muslims grow into the second-largest religious group in the United States by 2050 (Pew Research Center, 2018).

As a result of discrimination, Muslims currently live as a relatively isolated minority in the U.S. low levels of interpersonal contact with the rest of American society (Public Religion Research Institute, 2017) is an obstacle to integration and empowerment. As research has shown, interpersonal connection (the so-called contact hypothesis) between groups has prejudice-neutralizing outcomes (Kalla & Broockman, 2020; Paluck, 2016) by facilitating perspective-taking and opportunities for emphatic responses (Miklikowska, 2018). Given the lack of interpersonal interactions, news media (as well as other mediated content) are the primary channel through which the majority of U.S. citizens encounter Muslims. In this sense, how the media tell stories that feature Muslims could be highly consequential to how this group is understood.

In this study, we focus on personalization and emotionalization, as two journalistic practices that are routinely used in reportage on human hardship to evoke feelings of empathy and compassion in news users (Wahl-Jorgensen, 2013). Indeed, these two techniques have been shown to elicit empathy-based altruistic outcomes buy putting a human face on social issues and making the distress of affected people more salient. Specifically, the inclusion of testimonies from victims who personally experienced hardship (i.e., personalization) provokes empathy, increases political engagement, and even enhances memory for news information (Grabe & Bas, 2021). Depicting the emotional states of victims in news reports (i.e., emotionalization; Pantti, 2010) has been shown to lead to an emotional contagion effect that can spark empathy (Goldenberg & Gross, 2020). While previous studies have identified empathy as an important mechanism to overcome prejudice (Banas et al., 2020), the potential of personalization and emotionalization to provoke empathetic concern in the context of mediated inter-group contact has not been tested.

Our aim is to bridge that gap. First, by focusing on the white racial majority in the United States, this study tests the contact hypothesis in a media setting as it relates to anti-Muslim sentiment. Second, if the experience of empathy in a mediated context is linked to lowering prejudice, cross-disciplinary research on empathy as a means of diluting prejudice would have a new media-centric entry point with tested message features as a basis for future experimental work. Third, we bring more clarity to the operationalization of personalization and emotionalization, testing the independence of these message dimensions on empathic responses. Fourth, we found gender differences among participants offering evidence from the media realm in support of social psychologists who are building theory around evidence of greater within than cross-gender capacity for empathy.

Mediated Inter-Group Contact and Empathizing With Minorities

An extensive body of work has explored an answer to the question of why humans help one another (e.g., Batson, 2011; de Waal, 2008). Some scholars view altruistic behavior as egocentric, arguing that humans help each other in anticipation of material and psychological returns (e.g., Cialdini et al., 1987; Smith et al., 1989). Yet, some studies show an inherent capacity to help others in distress with pure altruistic intent (Warneken & Tomasello, 2009). This view does not reject instrumental goals as an explanation for helping behavior. Instead, it points to empathic responses as an internal motivating force behind altruistic behavior (e.g., de Waal, 2008). Thus, empathy becomes the conduit for action to address the cause of the empathy-provoking situation (Batson et al., 2015).

Indeed, several studies have demonstrated that feeling empathy toward members of stigmatized groups (e.g., LGBTQ community, people facing mental health, homelessness, or an HIV-positive status) or racial minority groups (Sirin et al., 2016; Stephan & Finlay, 1999) facilitate helpful behavior toward such groups (Batson et al., 1997, 2002).¹ An important step that triggers this empathy-altruism process is bearing witness to the suffering of others, which media can facilitate by publicly featuring social problems and hardship associated with it. Previous studies have shown that mediated exposure to the suffering of others can evoke empathy (Cao, 2013; Grabe et al., 2017; van Krieken et al., 2015), even toward people who are geographically and culturally remote to the media user (Banas et al., 2020). These findings offer evidence that media can facilitate empathy.

Yet, as is true for most emotional responses, state empathy is regulated by a number of individual differences and contextual influences. First, the human capacity for empathy is highly variant and pliable. A single exposure to someone’s suffering does not automatically evoke empathic responses. Atrocities observed throughout history showcase the human ability to suppress empathy toward others in distress. In fact, a simple instruction to remain objective while reading a story about someone’s misfortune made study participants less likely to feel empathy (McAuliffe et al., 2018). Second, a necessary condition for feeling empathy (Lishner et al., 2011) is witnessing the discrepancy between the current status of another human being and the desirable alternatives that would alleviate negative physical (e.g., pain, disease, and poverty) or psychological (e.g., loneliness, sadness, and anger) conditions (Batson, 2011). Thus, observing the hardship of an identifiable individual is more likely to provoke emotion and be more effective in motivating prosocial behavior than statistical information that quantifies misfortune in abstract ways (Maier et al., 2017). Thus, the ways in which media present the ramifications of prejudice (e.g., vivid and personalized versus statistical and depersonalized) impact identification and emotion that regulates empathy.

Personalization and Emotionalization of Victims in the News

How people are affected by the tragedy is a staple of news content (Houston et al., 2012; Johnson, 1996). Yet this emphasis on human travail is often criticized as sensational journalism (Otto et al., 2017; Wong & Harraway, 2020). The counter argument, which informs this study, is that hardship draws compassion and sympathy from news users and makes distant events more relatable (Pantti & Ojala, 2019), often referred to as the emotional turn in journalism (see Wahl-Jorgensen & Pantti, 2021). In fact, emotionality is not necessarily incompatible with the hard news genre, as journalists often engage in what Wahl-Jorgensen (2013) calls the “strategic ritual of emotionality,” which refers to an institutionalized and routinized process to include emotions in news stories without violating the professional journalistic norms. For example, personalized storytelling is one such technique, which features personal stories and the suffering of individuals who are affected by tragic events to invite empathic responses from the audience (Boelle & Wahl-Jorgensen, 2022). Be that as it may, media coverage of suffering—especially around social injustice issues—is no guarantee for empathy with victims (Ong, 2014). Indeed, message characteristics have been shown to influence empathy for victims. For example, giving agency to victims by humanizing them with identification (i.e., names and visual representation) and giving voice to their experiences are associated with higher levels of compassion for victims (Grabe et al., 2017).

This journalistic practice of featuring testimony of ordinary citizens affected by public issues has been defined as personalization (Jebril et al., 2013).² Journalists often use personalization with the intent to make abstract issues tangible and to help news users grasp the gravity of issues (Kleemans et al., 2017; Pantti & Ojala, 2019). Previous studies that empirically tested personalization have demonstrated that the inclusion of citizen testimonies (i.e., personalization) promotes positive responses toward victims of tragedies (Andersen et al., 2017; Cao, 2013; Grabe et al., 2017). Although such empathy-provoking outcomes of personalization have not been tested in the context of mediated inter-group contact, there is reason to expect personal testimonies will promote empathy toward victims of marginalized groups. In fact, psychologists refer to person positivity bias as a human’s tendency to evaluate a person more positively than the group that the person belongs to (Sears, 1983). Indeed, sympathy is more acute in response to an identifiable victim compared to a group of people who suffered the same tragedy (Kogut & Ritov, 2005). Person positivity bias also overcomes the effects of undesirable traits, as demonstrated by C. T.Miller and Felicio (1990): Individuals with undesirable personalities were rated more likable than a group of people with the same traits. This finding is highly relevant to mediated inter-group contact, where the activation of negative stereotypes can be expected to influence attitudes toward outsiders (Iyengar et al., 2013).

These observations support the reasoning that personalization, as opposed to presenting a group of people, can be expected to facilitate empathic responses by making the stereotypes associated with a minority group less salient. From this perspective, personalizing the experience of discrimination—by literally giving a human face to it—is expected to open opportunities for news users to vicariously experience hardship, leading to the first hypothesis.

H1: The presence of personal testimony from a victim in news stories, compared to the absence of such personal testimony, will increase the empathic responses of news users.

News has a long history of including emotive elements that verbally and visually display the emotional state of victims (defined here as emotionalization), especially in reports about human suffering (Johanssen & Garrisi, 2019; Pantti, 2011). Despite criticism of emotionally provocative news as sensationalist (e.g., Blumler & Kavanagh, 1999; Craig, 2003), emotionalization can serve important information functions. For example, emotional displays of victims, especially in the aftermath of tragic events, provide an interpretive framework that helps citizens make sense of the gravity of such events (Pantti, 2010, 2011) and motivate them to take action to address the causes of such suffering (Grabe & Myrick, 2016). Indeed, empirical evidence from previous work has suggested that displaying emotion-provoking content brings about perceptual, attitudinal, and behavioral shifts (Grabe et al., 2017; Maier et al., 2017).

Including images of emotionally distraught victims and describing their emotional state in news stories (i.e., emotionalization) may trigger empathic responses by activating the human tendency to adopt the displayed emotion through the process of emotional contagion (Hatfield et al., 1993). Indeed, observing overtly expressed emotions from another triggers a similar automatic emotional response (Dezecache et al., 2015; Hess & Blairy, 2001). For example, Small and Verrochi (2009) have shown that people feel sadness when observing another person who is sad while Gump and Kulik (1997) report that viewing an anxious person triggered anxiety in observers through the process of emotional contagion. Research has also established that exposure to emotion in a range of media platforms and modalities can set in motion emotional contagion processes (Steinert, 2021; Stel & Vonk, 2009). These observations offer reason to argue that the emotionalization of news stories might facilitate the same emotion in news users, leading to empathy and helping behavior. Among the range of emotions, we focused on sadness for two reasons. First, sadness is a natural emotional response to racial discrimination (Harrell, 2000; Noh et al., 2007), offering a realistic scenario for study participants to encounter victims of injustice. Second, studies have documented that people feel stronger empathy in response to sadness than other emotions such as anger and disgust (Duan, 2000; Sassenrath et al., 2017). For these reasons, we propose the second hypothesis.

H2: The presence of sad emotional displays of a victim in news stories, compared to the absence of theses emotional displays, will increase the empathic responses of news users.

Previous research has treated personalization and emotionalization as a single construct, calling it emotional personalization (Grabe et al., 2017; Jebril et al., 2013) or melodramatization (Mujica & Bachmann, 2016), ignoring potential conceptual differences between the two constructs (Umbricht & Esser, 2016). This conflation may be attributed to the tendency for emotions to naturally emerge when people talk about traumatic and painful experiences (Johanssen & Garrisi, 2019). With human suffering at the center of disaster coverage (Pantti, 2011; Pantti & Ojala, 2019), emotional firsthand accounts are baked into reportage. However, emotionalization and personalization may have independent effects on empathic responses. Personalization may help news users recognize the plight of victims by making their distress more salient, whereas emotionalization may activate an emotional contagion process. Based on concerns about conflation in existing studies that used the concept of emotional personalization, we formulated a research question to guide a test for the independent effects of personalization and emotionalization on empathic responses.

RQ1: Does the co-presence of personalization and emotionalization strengthen empathic responses to news coverage of discrimination against Muslims victims?

Prejudice, Personalization, and Emotionalization

Although empathy is an expected outcome of exposure to news coverage of discrimination, the extent of that response may be dependent on preexisting attitudes toward the group identity of the victim. In fact, psychologists have shown that people may derive joy (schadenfreude), not empathy, from the failures and misfortunes of rivals and enemies (Cikara et al., 2011; Leach et al., 2003). Preexisting levels of prejudice (unjustified negative attitudes) toward outgroup members are, therefore, likely to buffer empathic responses. Indeed, prejudice has been shown to lessen prosocial responses to others who are in pain and/or distress (Drwecki et al., 2011) or struggling to find a place to live (Stürmer et al., 2006). Even more critical, prejudice is associated with devaluing the welfare of a community (Dovidio et al., 2011) and dehumanizing out-groups due to lack of empathic responses toward victims in those groups (Andrighetto et al., 2014; Čehajić et al., 2009). In the context of our study, prejudice toward Muslims is expected to lower empathy toward members of this group who are presented as victims of discrimination. This leads to the third hypothesis.

H3: Prejudice toward Muslims will be negatively associated with empathic responses to victims who are at the receiving end of discrimination.

While this study hypothesizes that personalization and emotionalization will promote empathic responses, it is not clear if these two journalistic devices will weaken the grip that prejudice has on feeling empathy for members of an outgroup. There is reason to suspect that journalistic coverage of injustice (cf. Ensari et al., 2012; N.Miller, 2002), featuring personal testimony and emotional displays, might neutralize negative views of Muslims by appealing to media users on a humanitarian level. Yet, given the lack of conceptual clarity about the relationship between personalization and emotionalization (see RQ1), it is not possible to predict how these two journalistic practices might moderate the effects of prejudice against Muslims. A research question was therefore formulated to direct this assessment.

RQ2: Will the presence (or co-presence) of personalization and emotionalization in news stories weaken the expected negative association between prejudice toward Muslims and empathic responses for them?

Empathy-Based Altruistic Behavior

An extensive body of research has demonstrated the positive association between empathy and helping behavior (see Hoffman, 2008), with some studies concluding that empathy is a precursor to altruistic behavior (Batson, 2011). In the context of stigmatized groups (Batson et al., 1997, 2002; Stephan & Finlay, 1999), empathy with suffering others activates motivation for action to reduce the hardship (Batson et al., 2002; McAuliffe et al., 2018) instead of egocentric needs for disengagement though escape (Stocks et al., 2009). Personalization and/or emotionalization are expected to trigger empathic responses toward victims which might mediate the independent and interactive effects of the two journalistic practices on intent to engage in helping behavior. The last hypothesis was formulated to test for this mediation effect.

H4: Empathic responses toward Muslim victims will mediate the effects of (a) personalization, (b) emotionalization, and (c) the combination of these two journalistic practices on willingness to intervene on behalf of victims.

Moderating Effects of Gender

Neuro and social scientists have documented, in a large volume of published work, gender differences in emotional responses to interpersonal and mediated stimuli. Although there is a wide range in the valence and arousal levels of stimuli in these studies as well as the types of emotion (e.g., fear, anger, and sadness), self-identified women are associated with more emotional sensitivity than men, experiencing emotion more vividly than their male counterparts (Christov-Moore et al. 2014; Fujita et al., 1991; Rochat, 2022; Thayer & Johnsen, 2000). When it comes to sadness, the emotion induced in the study reported here, there is substantial evidence of women reporting more intense experiences than men (Deng et al., 2016; Ma-Kellams, & Wu, 2020). It is therefore not surprising that empathic³ responses to sadness have been shown to provoke large gender differences (Stuijfzand et al., 2016) and that the inducement of situational empathy moves women to make more prosocial decisions than men (Khachaturyan & Czap, 2016; van Rijn et al., 2018).

A small number of studies in psychology have pointed to significant differences in same-sex versus other-sex empathy. For example, Stuijfzand et al. (2016) report that men have lower empathic sadness for same-sex than other-sex targets, whereas women were found to feel more empathic sadness for same-sex than other-sex subjects.⁴

The victims of discrimination in our experiment’s stimuli are all women, offering an opportunity to test these differences in relation to news content about injustice. There are also theoretical and practical reasons for our focus on women victims. First, Moeller (2002) calls women idealized victims because they are generally viewed as innocent and draw greater empathy. We, therefore, chose women victims to optimize the possibility of evoking empathy for Muslims among white participants who vary in anti-Muslim sentiment. Second, including stimuli of male victims would require roughly double the sample size and participation time of subjects. Resource limitations prohibited a larger-scale project.

It is unlikely that our stimuli would elicit gender-equalizing empathic responses. Yet, it is possible that reading news stories that feature personal testimonies and emotional displays may offset gender differences in empathic responses. We formulated the following research question to test for participant gender interactions with the two journalistic practices on empathy levels for women victims of discrimination.

RQ3: Would participant gender have a moderating impact on empathy for Muslim women victims of discrimination such that women participants report higher levels of empathy than men?

Method

An online experiment with a 2 (personalization: present vs. absent) × 2 (emotionalization: present vs. absent) × 2 (gender: self-identified men vs. women) between-subjects design was conducted among 490 participants. A three-message repetition factor was added to address limitations associated with single-message experiments and to ensure the robustness of our findings (Grabe & Westley, 2003). Volunteers were first screened via an online survey to meet the sample’s demographic quotas, and they participated 1 week later in the experiment.

Experimental Manipulation

Three experimental stimuli were created from existing news stories published in the online webpages of professional news organizations. Each news story reported an incidence of discrimination and prejudice against a Muslim woman. These incidents included a physical attack during a train ride, employment discrimination, and a ban on religious clothing at a local pool. Experimental stimuli for the four conditions had a similar structure, were comparable in length (between 182 and 226 words), and featured women victims who were clearly identifiable as Muslim, wearing the hijab. The news stories were not attributed to news sources to minimize the effects of preexisting perceptions about news sources on the dependent variables (e.g., Baum & Gussin, 2008; Kim & Grabe, 2022). Online Appendix A contains an example of the four stimulus conditions, showing both verbal and visual manipulations.⁵

Personalization

Three of five paragraphs of the personalized versions included testimonies, using direct quotes from the victim. By contrast, nonpersonalized versions described the discriminatory incident in third-person singular pronouns (i.e., she and her) without giving voice to the victim’s experiences in quotation. The visual manipulation of personalization involved the inclusion of close-up images of the victim that made her identifiable and increased the potential for connecting with media users (Grabe & Bucy, 2009). Nonpersonalized versions included medium or long shots of Muslim women in groups, without identifying the victim, thereby putting her at arm’s length of media users.

Emotionalization

Stories representing the emotionalized versions verbally described the sadness of victims, whereas nonemotionalized versions excluded reference to emotion. The visual manipulation included photographs of sadness displays, whereas the nonemotionalized versions featured neutral displays.

Pretests

Online Appendix B summarizes the results of manipulation checks conducted to facilitate the construction of emotional stimuli and to assess the internal validity of experimental manipulations. A pretest for the textual manipulation showed that victims featured in the emotionalized versions of news stories were perceived to display more sadness than those in the nonemotionalized versions. The perceived information quality of the four versions was at statistically comparable levels. Similarly, the emotionalized visual manipulations were perceived to display more sadness than their nonemotionalized counterparts while versions of the stimuli did not statistically differ on other dimensions such as the physical attractiveness of the victim or identifying her as a Muslim.

Participants and Procedure

A total of 500 Caucasian participants were recruited from Amazon Mechanical Turk (mTurk) to allow for testing altruistic behavior toward an outgroup.⁶ Ten participants were removed from analyses due to missing values. The sample size of 490 provided enough statistical power to detect significant differences between experimental conditions.⁷ A two-stage participation procedure was used with a 1 week interval between the preexperimental survey and the main experiment. Participants completed a battery of questions in the preexperimental survey, which included a measure of Muslim prejudice. In the main experiment, participants read three news stories in one of four versions and answered a set of questions that measured empathic responses and prosocial behavioral intentions. To control for possible order effects, participants were exposed to news stories in one of five-story sequences using the Latin square design that counterbalances story presentation sequences (Winer et al., 1991).

Measures⁸

Empathic Responses

After reading each news story, participants answered five Likert-type scaled items adopted from Batson et al. (2002, 1997) that captured the experience of other-oriented emotional responses (i.e., empathy) to Muslim victims in the stimuli. These items were highly reliable for all three news stories (M = 5.80, SD = 1.23; ɑ ranged from .97 to .98).

Prosocial Behavioral Intent

A modified Willingness to Intervene scale (Espelage et al., 2012) was administered upon exposure to each news story. Five items asked participants to what extent they would step in to help if they witnessed a Muslim in a situation similar to the one in the news story. The seven-point Likert-type scale items were found to be reliable (M = 5.37, SD = 1.22; ɑ ranged from .87 to .92).

Muslim Prejudice

At the preexperimental stage, nine items adopted from Collingwood and colleagues (2018) were used to measure unjustified negative attitudes (prejudice) toward Muslims. Seven-point Likert-type scale responses were reliable and averaged to create an index of Muslim prejudice (M = 5.17, SD = 1.38, ɑ = .93).

Gender

The gender of respondents was captured by a single item asking for self-identification as man, woman, or other. Slightly more than half (54.6%) of the respondents were women (n = 273). None of the respondents opted for the other option.

Covariates

A group of control variables were measured at the preexperimental stage and included in predictive models. These are demographics: age (M = 43.7, SD = 12.7), family income (M = 4.09, SD = 1.83), levels of education (M = 4.65, SD = 1.46), being Christian (Yes: n = 247, 49.4%), nonreligiosity (Yes: n = 122, 24.4%), and party identification (M = 4.44, SD = 2.12). Also included were measures of the quantity and quality of interpersonal contact with Muslims (for quantity: M = 2.63, SD = 1.38; for quality: M = 4.64, SD = 1.51). A 10-item measure of media use (M = 3.36, SD = 0.95, ɑ = .68) was included to control for the effects of media exposure on the outcome variables. Previous experiences with discrimination were captured using 9 items (M = 1.89; SD = .66, ɑ = .85) adopted from Krieger and colleagues (2005). Finally, an 11-item measure of trait empathy adopted from an emotional reactivity subscale (Lawrence et al., 2004) was administered (M = 4.96; SD = .90, ɑ = .79) to control for the effects of individual-level trait empathy on the dependent variables.

Analytical Strategy

A series of linear mixed regression analyses with random intercept were conducted using STATA to explore the relations between the two journalistic practices and Muslim prejudice as well as empathy-motivated altruistic behavior. Because each participant was exposed to multiple messages of victimization, it was necessary to control for within-subject autocorrelations. One of our objectives was to test whether empathic responses mediate the effects of journalistic practices on helping behavior; therefore, regression-based models were specified instead of analysis of variances, as the former allows for the estimation of conditional indirect effects. Of note, analyzing the three news stories separately produced similar results.

Linear mixed regression Model 1 was specified to establish a baseline for the effects of the two journalistic practices and Muslim prejudice on empathic responses for subsequent analyses. In Model 2, the effects of the two journalistic practices on empathic responses were tested after controlling for the effects of Muslim prejudice. Model 3 was used to test whether the two journalistic practices moderated the effects of Muslim prejudice. Model 4 was specified to examine whether personalization, emotionalization, and Muslim prejudice have direct effects on the intention to engage in helping behavior. In Model 5, we examined whether empathy mediates the effects of the three focal predictors on the intention to engage in prosocial behavior. Finally, Models 6 and 7 were specified to test whether the gender of participants conditioned the effects of the predictors and the indirect effects of the predictors on prosocial behavioral intent. Details about the effects of control variables (Models 1-5) and the results of Models 6 and 7 are reported in the Online Appendix.

Results

The first two hypotheses predicted the main effects of personalization (H1) and emotionalization (H2) on empathic responses, and the first research question prompted an assessment of the combined impact of personalization and emotionalization on empathic responses toward Muslim victims (RQ1). We found no support in this data set for H1 and H2 (see Model 1 in Table 1). Even after controlling for the effects of Muslim prejudice (see Model 2 in Table 1), there were no direct or interaction effects for the two journalistic practices on empathic responses. Our findings suggest that personalization and emotionalization did not have main or interaction effects on empathy. If anything, they were equally unimpactful individually and in combination, at least in terms of eliciting empathy.

Table 1.

Predicting Empathic Responses and Prosocial Behavioral Intent.

	Model 1DV: Empathic responses	Model 2DV: Empathic responses	Model 3DV: Empathic responses	Model 4DV: Prosocial behavioral intent	Model 5DV: Prosocial behavioral intent
Variables	b (SE)	b (SE)	b (SE)	b (SE)	b (SE)
News Story 2^a	–0.54 (0.05)**	–0.54 (0.05)**	–0.54 (0.05)**	–0.82 (0.06)**	–0.44 (0.05)**
News Story 3^a	–0.72 (0.05)**	–0.72 (0.05)**	–0.72 (0.05)**	–1.13 (0.06)**	–0.62 (0.05)**
Empathic Responses					0.71 (0.02)**
Personalization (1 = Yes, A)	0.10 (0.13)	0.08 (0.12)	0.73 (0.28)**	0.75 (0.31)*	0.23 (0.24)
Emotionalization (1 = Yes, B)	0.13 (0.12)	0.14 (0.12)	0.66 (0.27)*	0.22 (0.30)	–0.25 (0.23)
Muslim Prejudice (C)		–0.40 (0.05)**	–0.31 (0.06)**	–0.20 (0.07)**	0.02 (0.06)
A × B	–0.04 (0.18)	–0.02 (0.17)	–1.25 (0.39)**	–0.97 (0.44)	–0.08 (0.33)
A × C			–0.22 (0.09)**	–0.19 (0.10)	–0.03 (0.07)
B × C			–0.18 (0.08)	–0.06 (0.09)	0.07 (0.07)
A × B × C			0.43 (0.12)**	0.29 (0.14)**	–0.03 (0.10)
Constant	2.32 (0.40)**	4.46 (0.46)**	4.16 (0.47)**	3.77 (0.52)**	0.80 (0.41)*
Random Intercept	0.76 (0.06)	0.64 (0.05)	0.61 (0.06)	0.80 (0.07)	0.47 (0.04)
Log likelihood	–2,171.78	–2,140.25	–2,134.11	–2,281.47	–1,886.67
AIC	4,383.56	4,322.49	4,316.23	4,610.95	3,823.34

Note. n = 490. DV = Dependent Variable; AIC = Akaike Information Criterion.

News story 1 was used as the reference group. Two dummy variables indicating different news stories were added to account for possible differences between news stories in evoking empathic responses. The effects of a set of covariates were controlled for but not reported here (see Online Appendix E for the effects of the covariates on the dependent variables).

p < .05. **p < .01.

Hypothesis 3, which predicted a negative association between Muslim prejudice and empathic responses, was supported with a statistically significant negative correlation (b = −0.40, SE = 0.05, p < .01; see Model 2 in Table 1). The higher the prejudice against Muslims, the lower the empathy for the victims who appeared in the news stories.

Research Question 2 prompted a test to assess if the effect of personalization varies as a function of emotionalization in news stories and participant prejudice toward Muslims (see Model 3 in Table 1). There was a statistically significant three-way interaction among personalization, emotionalization, and Muslim prejudice (b = −1.25, SE = 0.39, p < .01). This suggests that Muslim prejudice conditions the effects of the two journalistic practices on empathic responses. Further probing of this interaction effect revealed that, with the presence of emotionalization, personalization increased empathy for the victims in news stories. This was true only for participants with relatively strong prejudice toward Muslims (greater than 4.3; about 20% of the sample; see the right panel of Figure 1). Yet, in the absence of emotional displays of victims, the effects of personalization on empathic responses decreased as a function of Muslim prejudice among participants with relatively strong Muslim prejudice (see the left panel of Figure 1).

Hypothesis 4(a–c) predicted independent and interactive effects of the two journalistic practices on helping behavior via empathic responses toward the victims featured in news stories. The results show that neither of the main effects of the two journalistic practices nor the interaction between the two directly influenced prosocial behavioral intent. However, there was a statistically significant three-way interaction between the two journalistic practices and Muslim prejudice on prosocial behavioral intent (b = 0.29, SE = 0.14, p < .01; see Model 4 of Table 1). This interaction became statistically insignificant when empathy was entered as a predictor of prosocial behavioral intent (b = 0.71, SE = 0.02, p < .01; see Model 5 of Table 1). These findings indicate that Muslim prejudice conditioned the indirect effects of the two journalistic practices on prosocial behavioral intent via empathic responses. Table 2 presents the estimated indirect effects of personalization on helping behavior with the presence and absence of emotionalization and at different levels of Muslim prejudice. Consistent with the findings above, it is noteworthy that without emotionalization, the indirect effects of personalization decreased at higher levels of Muslim prejudice (see the upper panel of Table 2). Yet, with emotionalization, the indirect effects of personalization became stronger as Muslim prejudice increased (see the lower panel of Table 2). These findings partially support H4c.

Table 2.

Estimating Indirect Effects of Personalization on Prosocial Behavioral Intent at the Varying Levels of Emotionalization and Muslim Prejudice.

Emotionalization	Levels of Muslim prejudice	b (SE)	95% CI [LLCI, ULCI]
Absent	1	0.37 (0.08)	[0.21, 0.52]
	2	0.20 (0.05)	[0.11, 0.30]
	3	0.04 (0.05)	[–0.06, 0.15]
	4	–0.11 (0.08)	[–0.27, 0.03]
	5	–0.28 (0.11)	[–0.50, –0.06]
	6	–0.44 (0.15)	[–0.74, –0.14]
	7	–0.60 (0.21)	[–1.02, –0.18]
Present	1	–0.22 (0.06)	[–0.36, –0.08]
	2	–0.07 (0.04)	[–0.15, 0.01]
	3	0.08 (0.05)	[–0.2, 0.18]
	4	0.22 (0.10)	[0.04, 0.42]
	5	0.38 (0.14)	[0.09, 0.66]
	6	0.53 (0.20)	[0.15, 0.91]
	7	0.70 (0.25)	[0.19, 1.16]

Note. CI = confidence interval.

Research Question 3 asked whether the gender of news users conditions the observed effects of the two journalistic practices and Muslim prejudice on empathic responses and subsequent helping behavior. To answer this question, a model that includes a four-way interaction term between the two journalistic practices, Muslim prejudice, and gender was specified (see Model 6 in the Online Appendix G). While there were no statistically significant four-way interactions between the predictors, a statistically significant interaction between emotionalization and gender (b = −1.13, SE = 0.53, p < .05) emerged. This interaction was further qualified by Muslim prejudice by a significant three-way interaction between emotionalization, Muslim prejudice, and gender (b = 0.51, SE = 0.17, p < .01). Thus, the effects of emotionalization varied as a function of Muslim prejudice and gender. Further probing of the interaction suggests that the effect of emotionalization on empathic response was statistically negligible among men. Women, on the other hand, felt more empathy when emotionalization was present–especially those who self-reported higher (above 2.8) Muslim prejudice, which constituted 43.5% of women participants. These findings suggest that women participants were more likely to feel empathy when they saw the emotional expressions of victims (see Figure 2). Finally, the indirect effects of emotionalization were also estimated to examine whether the mediating effect of empathy was conducted by Muslim prejudice and gender. As reported in Table G2 in the Online Appendix, the indirect effects of emotionalization on prosocial behavioral intent were not significant for men with prejudice scores higher than 2.3 (about 59.9% of men). By contrast, indirect effects on prosocial behavioral intent were statistically significant among women participants with Muslim prejudice scores lower than 4.1 (about 84.1% of women participants).

Discussion

The study reported here offers evidence that empathy with the plight of Muslims falls within the repertoire, as Batson et al. (2015) would put it, of white Americans who encounter this minority group in news stories about discrimination. There is also tentative evidence in this data set for the potential of news stories to attenuate polarization in post-9/11 America. The majority of Americans do not frequently interact with Muslims, leaving news media as one of the few conduits of inter-group encounters. In this study, we demonstrated that the ways in which journalists cover the discrimination that Muslims endure could pave the way for goodwill across religious lines in the United States. What we found is promising but qualified. News stories can facilitate empathy toward Muslims, especially among media users who are prejudiced against this group. This finding puts empathy-provoking journalistic storytelling on par with media literacy and counter-stereotyping (Holt, 2013; Ramasubramanian, 2007) as potential ways to attenuate prejudice against Muslims.

Personalization and emotionalization, two commonly used journalistic practices of featuring victims in reporting on tragic events (Grabe & Bas, 2021; Pantti, 2010) are central to precipitating empathy and helping behavior. These reporting practices were expected to make the suffering of victims more salient, thereby triggering empathy-based altruistic behavior. We found partial support for this hypothesized effect. First, personalization and emotionalization of victims in news reports, on average, did not increase empathic responses toward victims. Yet, the absence of main effects does not indicate a lack of empathic responses. In particular, participants with low levels of Muslim prejudice reported strong empathic responses toward the victims featured in the news reports. Second, while the two journalistic practices did not independently trigger empathic responses, in combination, they affected participants who held prejudiced views of Muslims. Specifically, personalization moved participants who scored high on Muslim prejudice to higher levels of empathy when emotionalization was present in the story. These observations indicate that personalization and emotionalization might not be independent in eliciting empathy–at least not in the context of mediated inter-group contact. Together, though, they can move people who hold prejudicial attitudes toward an outgroup to empathic responses. This finding also offers some evidence to alleviate concern about the conflation of emotional personalization in previous studies (Bas & Grabe, 2015).

We also found support for a positive association between empathic responses and prosocial behavioral intentions. Personalization and emotionalization of Muslims who are at the receiving end of discrimination not only drew empathic responses from participants who scored high on Muslim prejudice but also mobilized prosocial behavioral intent to help members of this group. Moreover, the gender differences that emerged in this dataset added another layer of insight into the effects of two journalistic practices on empathy-motivated prosocial behavior. Being exposed to the emotional states of victims in news stories provoked strong empathic responses among women regardless of the presence of personal testimonies. Strikingly, this effect was strongest among women who scored high on Muslim prejudice, indicating that emotionalization could break through anti-Muslim sentiments to evoke empathy for victims of discrimination. This was not the case for men. A clearly identifiable victim who gives a firsthand account of emotional distress (i.e., emotional personalization) is necessary to draw empathic responses from men. Our results for men align with existing scholarship that puts the identification with a specific victim as a necessary step toward empathy (Grabe et al., 2017). For women, perhaps the emotional charge of same-sex victimization was enough to elicit empathy without personalization.

Overall, our findings provide an optimistic outlook for the future of inter-group relations because people who hold negative attitudes toward Muslims are likely to support discriminatory policies against this group (Dunwoody & McFarland, 2018; Sides & Gross, 2013). News media are positioned to facilitate reconciliation by granting the victims of prejudice a voice to tell their stories and publicly emote the toll that Islamophobia takes on them. In this sense, our findings have implications for journalistic practice, pointing to active engagement within under-served communities and relaying the voices of members of those communities. This may seem at odds with the conventional cold-hard-facts conception of journalism as a profession, but it is precisely what contemporary citizens expect from the news (Weaver et al., 2019). Thus, despite the criticism of personalization and emotionalization of news content in some circles, emotion-laden personal testimonies in news stories are found to be socially productive and attractive to news users. The long-term impact of such emotion-based engagement could facilitate shifts in cultural values and social integration patterns. Yet, the increasing reliance on algorithm-driven media use (Newman et al., 2023) drives exposure to content that aligns with the political identity of users and thus reinforces existing beliefs (e.g., Ahmed & Gil-Lopez, 2022). In this context, people who hold negative views of Muslims may be unlikely to encounter news reports that offer an opportunity for this minority group to voice their experiences of discrimination. Given that engagement with personalized and emotionalized news stories appears to be a necessary condition for prosocial-mediated inter-group contact, the algorithmic hold on information flow is a formidable obstacle in achieving the pluralistic ideals of democracy.

A few limitations of our study warrant attention. First, while samples recruited from mTurk are often used in academic research and were found to replicate the findings of nationally representative samples (Mullinix et al., 2015), caution should be taken in generalizing the findings reported here to the larger U.S. population. Experimental research like this needs replication to establish the robustness of findings for generalizability nationally and internationally. Given rising anti-Muslim sentiment in Europe (Pickel & Öztürk, 2018), the findings we report here offer impetus to test personalization and emotionalization in European contexts where Islamophobia has taken hold.

Second, it should be noted that the victims who appeared in the experimental stimuli were what Moeller (2002) defined as idealized victims, and existing studies reported greater same-sex than other-sex empathy among women. It is, therefore, not clear whether the two journalistic practices would produce similar gender results when applied to victimized Muslim men. Third, given that sadness is not the only emotion that victims of discrimination express, it is not clear whether news users would respond similarly to anger, an emotion that is often felt in the context of discrimination. For these reasons, more work is needed to test the robustness of personalization and emotionalization in other emotion and gender configurations.

Fourth, while behavioral intent is a strong predictor of actual behavior, it does not always translate into action (Sheeran & Webb, 2016). Future studies are needed to determine if personalization and emotionalization of Muslim victims in media content can elicit empathy-motivated prosocial behavior and assess the longevity of such effects in everyday life. Kalla and Broockman (2020) tested the longevity of the contact hypothesis in face-to-face conversations using field experiments. A similar approach with mediated contact between majority and minority groups would greatly benefit this area of research. Twenty years ago, N.Miller (2002) argued for more evidence of the contact hypothesis in terms of subsistence and generalizability beyond a single contact. This question, if prosocial responses during contact with an outgroup member would persist and extend to other members of that outgroup, sparked cross-disciplinary inquiry on interpersonal contact. Sustained scholarly focus on the consequences of mediated contact remains largely unrealized, despite its far-reaching promise.

Despite these limitations, the findings we report here offer insight into how news could alleviate a religious divide. It also indirectly attributes responsibility to journalists in their decision making when they cover discrimination against Muslims. Editorial commitment to give voice to victim experiences and visually document their emotional hardship might help news audiences with prejudice toward minority groups overcome the barriers of compassion fatigue. This is a roseate outlook on the role of journalism in attenuating tension across communities. Of course, empathy-provoking media coverage of Muslims is unlikely to magically break cycles of hate crimes and discrimination. Indeed, the dominant media narrative about Muslims still pegs members of this minority group as outsiders in an us-versus-them framework that continues to resonate with some Americans. Indeed, the dominance of stereotypical media representations of Muslims (Saleem & Ramasubramanian, 2019) is well-positioned to undo empathy that personalized and emotionalized news may afford. At the same time, we have demonstrated here that there are ways to prevent further rupture of the social fabric that undermines the health of democracies. As Nelson Mandela (2008) famously said: “No one is born hating another person because of the color of his skin, or his background, or his religion. People must learn to hate, and if they can learn to hate, they can be taught to love, for love comes more naturally to the human heart than its opposite.”

Supplemental Material

sj-docx-1-jmq-10.1177_10776990231202702 – Supplemental material for Empathy With Muslim Victims of Discrimination: Can Personalization and Emotionalization in News Reporting Pave the Way?

Supplemental material, sj-docx-1-jmq-10.1177_10776990231202702 for Empathy With Muslim Victims of Discrimination: Can Personalization and Emotionalization in News Reporting Pave the Way? by Minchul Kim and Maria Elizabeth Grabe in Journalism & Mass Communication Quarterly

Footnotes

Declaration of Conflicting Interests

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Funding

The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This research was supported by the Chung-Ang University Research Grants in 2022.

Supplemental Material

Supplemental material for this article is available online.

Notes

Author Biographies

Minchul Kim (PhD, Indiana University) is an Assistant Professor in the School of Media and Communication at Chung-Ang University. He is interested in political communication and public opinion. His research investigates how digital media platforms influence political communication processes.

Maria Elizabeth Grabe (PhD, Temple University) is a Provost Professor in the Media School and a co-PI at the Observatory on Social Media at Indiana University. Over the last decade, her work has shifted from informed to d/misinformed citizenship, investigating human vulnerabilities and resilience in navigating polluted information ecosystems.

References

Ahmed

Gil-Lopez

(2022). Engaging with vilifying stereotypes: The role of YouTube algorithmic use in perpetuating misinformation about Muslim congresswomen. Journalism & Mass Communication Quarterly. Advance online publication. https://doi.org/10.1177/10776990221110113

Andersen

Skovsgaard

Albæk

de Vreese

C. H.

(2017). The engaging effect of exemplars: How an emotional reaction to (dis) similar people in the news media affects political participation. The International Journal of Press/Politics, 22(4), 490–509. https://doi.org/10.1177/1940161217723152

Andrighetto

Baldissarri

Lattanzio

Loughnan

Volpato

(2014). Humanitarian aid? Two forms of dehumanization and willingness to help after natural disasters. British Journal of Social Psychology, 53(3), 573–584. https://doi.org/10.1111/bjso.12066

Banas

J. A.

Bessarabova

Massey

Z. B.

(2020). Meta-analysis on mediated contact and prejudice. Human Communication Research, 46(2-3), 120–160. https://doi.org/10.1093/hcr/hqaa004

Bas

Grabe

M. E.

(2015). Emotion-provoking personalization of news: Informing citizens and closing the knowledge gap? Communication Research, 42(2), 159–185. https://doi.org/10.1177/0093650213514602

Batson

C. D.

(2009). These things called empathy: Eight related but distinct phenomena. In Decety

Ickes

(Eds.), Social neuroscience. The social neuroscience of empathy (pp. 3–15). MIT Press.

Batson

C. D.

(2011). Altruism in humans. Oxford University Press.

Batson

C. D.

Chang

Orr

Rowland

(2002). Empathy, attitudes, and action: Can feeling for a member of a stigmatized group motivate one to help the group? Personality and Social Psychology Bulletin, 28(12), 1656–1666. https://doi.org/10.1177/014616702237647

Batson

C. D.

Lishner

D. A.

Stocks

E. L.

(2015). The empathy—Altruism hypothesis. In Schroeder

D. A.

Graziano

W. G.

(Eds.), The Oxford handbook of prosocial behavior (pp. 259–281). Oxford University Press.

10.

Batson

C. D.

Polycarpou

M. P.

Harmon-Jones

Imhoff

H. J.

Mitcherner

E. C.

Bendar

L. L.

Highberger

(1997). Empathy and attitudes: Can feeling for a member of a stigmatized group improve feelings toward the group? Journal of Personality and Social Psychology, 72(1), 105–118. https://doi.org/10.1037/0022-3514.72.1.105

11.

Baum

M. A.

Gussin

(2008). In the eye of the beholder: How information shortcuts shape individual perceptions of bias in the media. Quarterly Journal of Political Science, 3(1), 1–31. https://doi.org/10.1561/100.00007010

12.

Blumler

J. G.

Kavanagh

(1999). The third age of political communication: Influences and features. Political Communication, 16(3), 209–230. https://doi.org/10.1080/105846099198596

13.

Boelle

Wahl-Jorgensen

(2022). Emotionality in the television coverage of airplane disasters. Journalism Practices. Advance online publication. https://doi.org/10.1080/17512786.2022.2085618

14.

Cao

(2013). The effects of facial close-ups and viewers’ sex on empathy and intentions to help people in need. Mass Communication and Society, 16(2), 161–178. https://doi.org/10.1080/15205436.2012.683928

15.

Čehajić

Brown

González

(2009). What do I care? Perceived ingroup responsibility and dehumanization as predictors of empathy felt for the victim group. Group Processes & Intergroup Relations, 12(6), 715–729. https://doi.org/10.1177/1368430209347727

16.

Christov-Moore

Simpson

E. A.

Coudé

Grigaityte

Iacoboni

Ferrari

P. F

. (2014). Empathy: Gender effects in brain and behavior. Neuroscience and Biobehavioral Reviews, 46, 604–627. https://doi.org/10.1016/j.neubiorev.2014.09.001

17.

Cialdini

R. B.

Schaller

Houlihan

Arps

Fultz

Beaman

A. L.

(1987). Empathy-based helping: Is it selflessly or selfishly motivated? Journal of Personality and Social Psychology, 52(4), 749–758. https://doi.org/10.1037/0022-3514.52.4.749

18.

Cikara

Bruneau

E. G.

Saxe

R. R.

(2011). Us and them intergroup failures of empathy. Current Directions in Psychological Science, 20(3), 149–153. https://doi.org/10.1177/0963721411408713

19.

Collingwood

Lejevardi

Oskooii

K. A. R.

(2018). A change of heart? Why individual-level public opinion shifted against trump’s “Muslim Ban.” Political Behavior, 40(4), 1035–1072. https://doi.org/10.1007/s11109-017-9439-z

20.

Craig

D. A.

(2003). The promise and peril of anecdotes in news coverage: An ethical analysis. Journalism & Mass Communication Quarterly, 80(4), 802–817. https://doi.org/10.1177/107769900308000404

21.

Cuff

B. M.

Brown

S. J.

Taylor

Howat

D. J.

(2016). Empathy: A review of the concept. Emotion Review, 8(2), 144–153. https://doi.org/10.1177/1754073914558466

22.

Deng

Chang

Yang

Huo

Zhou

(2016). Gender differences in emotional response: Inconsistency between experience and expressivity. PLOS ONE, 11(6), Article e0158666. https://doi.org/10.1371/journal.pone.0158666

23.

de Waal

F. B

. (2008). Putting the altruism back into altruism: The evolution of empathy. Annual Review of Psychology, 59, 279–300. https://doi.org/10.1146/annurev.psych.59.103006.093625

24.

Dezecache

Jacob

Grèzes

(2015). Emotional contagion: Its scope and limits. Trends in Cognitive Sciences, 19(6), 297–299. https://doi.org/10.1016/j.tics.2015.03.011

25.

Dovidio

J. F.

Hewstone

Glick

Esses

V. M.

(2011). Prejudice, stereotyping and discrimination: Theoretical and empirical overview. In Dovidio

J. F.

Hewstone

Glick

Esses

V. M

. (Eds.), The Sage handbook of prejudice, stereotyping and discrimination (pp. 3–28). Sage.

26.

Drwecki

B. B.

Moore

C. F.

Ward

S. E.

Prkachin

K. M.

(2011). Reducing racial disparities in pain treatment: The role of empathy and perspective-taking. Pain, 152(5), 1001–1006. https://doi.org/10.1016/j.pain.2010.12.005

27.

Duan

(2000). Being empathic: The role of motivation to empathize and the nature of target emotions. Motivation and Emotion, 24, 29–49. https://doi.org/10.1023/A:1005587525609

28.

Dunwoody

McFarland

S. G.

(2018). Support for anti-Muslim policies: The role of political traits and threat perception. Political Psychology, 39(1), 89–106. https://doi.org/10.1111/pops.12405

29.

Ensari

Christian

Kuriyama

D. M.

Miller

(2012). The personalization model revisited: An experimental investigation of the role of five personalization-based strategies on prejudice reduction. Group Process & Intergroup Relations, 15(4), 503–522. https://doi.org/10.1177/1368430211434576

30.

Espelage

D. L.

Green

H. D.

Polanin

(2012). Willingness to intervene in bullying episodes among middle school students: Individual and peer- group influences. Journal of Early Adolescence, 32(6), 776–801. https://doi.org/10.1177/0272431611423017

31.

Federal Bureau of Investigation (FBI). (2022). Hate crime statistics. https://www.fbi.gov/services/cjis/ucr/hate-crime

32.

Fujita

Diener

Sandvik

(1991). Gender differences in negative affect and well-being: The case for emotional intensity. Journal of Personality and Social Psychology, 61(3), 427–434. https://doi.org/10.1037/0022-3514.61.3.427

33.

Goldenberg

Gross

J. J.

(2020). Digital emotion contagion. Trends in Cognitive Sciences, 24(4), 316–328. https://doi.org/10.1016/j.tics.2020.01.009

34.

Grabe

M. E.

Bas

(2021). Reconsidering informed and participatory citizenship in contemporary media ecosystems. In Coen

Bull

(Eds.), The psychology of journalism (pp. 87–110).Oxford University Press.

35.

Grabe

M. E.

Bucy

E. P.

(2009). Image bite politics: News and the visual framing of elections. Oxford University Press.

36.

Grabe

M. E.

Kleemans

Bas

Myrick

J. G.

Kim

(2017). Putting a human face on cold-hard-face: Effects of personalizing social issues on perceptions of issue importance. International Journal of Communication, 11, 907–929.

37.

Grabe

M. E.

Myrick

J. G.

(2016). Informed citizenship in a media-centric way of life. Journal of Communication, 66(2), 215–235. https://doi.org/10.1111/jcom.12215

38.

Grabe

M. E.

Westley

B. H.

(2003). The controlled experiment. In Stempel

G. H.

Weaver

D. H.

Wilhoit

G. C.

(Eds.), Mass communication research and theory (pp. 267–298). Allyn & Bacon.

39.

Gump

B. B.

Kulik

J. A.

(1997). Stress, affiliation, and emotional contagion. Journal of Personality and Social Psychology, 72(2), 305–319. https://doi.org/10.1037/0022-3514.72.2.305

40.

Hall

Schwartz

(2019). Empathy present and future. The Journal of Social Psychology, 159(3), 225–243. https://doi.org/10.1080/00224545.2018.1477442

41.

Harrell

S. P.

(2000). A multidimensional conceptualization of racism-related stress: Implications for the well-being of people of color. American Journal of Orthopsychiatry, 70(1), 42–57. https://doi.org/10.1037/h0087722

42.

Hatfield

Cacioppo

J. T.

Rapson

R. L.

(1993). Emotional contagion. Current Directions in Psychological Science, 2(3), 96–100. https://doi.org/10.1111/1467-8721.ep10770953

43.

Hess

Blairy

(2001). Facial mimicry and emotional contagion to dynamic emotional facial expressions and their influence on decoding accuracy. International Journal of Psychophysiology, 40(2), 129–141. https://doi.org/10.1016/S0167-8760(00)00161-6

44.

Hoffman

M. L.

(2008). Empathy and prosocial behavior. In Lewis

Haviland-Jones

J. M.

Barrett

L. F.

(Eds.), Handbook of emotions (pp. 440–455). Guilford Press.

45.

Holt

L. F.

(2013). Writing the wrong: Can counter-stereotypes offset negative media messages about African Americans? Journalism & Mass Communication Quarterly, 90(1), 108–125. https://doi.org/10.1177/1077699012468699

46.

Houston

J. B.

Pfefferbaum

Rosenholtz

C. E.

(2012). Disaster news: Framing and frame changing in coverage of major US natural disasters, 2000–2010. Journalism & Mass Communication Quarterly, 89(4), 606–623. https://doi.org/10.1177/1077699012456022

47.

Iyengar

Jackman

Messing

Valentino

Aalberg

Duch

. . .Kobayashi

(2013). Do attitudes about immigration predict willingness to admit individual immigrants? A cross-national test of the person-positivity bias. Public Opinion Quarterly, 77(3), 641–665. https://doi.org/10.1093/poq/nft024

48.

Jebril

Albæk

De Vreese

C. H.

(2013). Infotainment, cynicism, and democracy: The effects of privatization vs personalization in the news. European Journal of Communication, 28(2), 105–121. https://doi.org/10.1177/0267323112468683

49.

Johanssen

Garrisi

(2019). “I am burning, I am burning”: Affect, acid attacks and British tabloid newspapers. Journalism Studies, 20(4), 463–479. https://doi.org/10.1080/1461670X.2017.1389294

50.

Johnson

R. N.

(1996). Bad news revisited: The portrayal of violence, conflict, and suffering on television news. Peace and Conflict, 2(3), 201–216. https://doi.org/10.1207/s15327949pac0203_2

51.

Kalla

J. L.

Broockman

D. E.

(2020). Reducing exclusionary attitudes through interpersonal conversation: Evidence from three field experiments. American Political Science Review, 114(2), 410–425. https://doi.org/10.1017/S0003055419000923

52.

Khachaturyan

Czap

N. V.

(2016). Different strokes for different folks: Gender and emotions in an environmental game. Sustainable Agricultural Research, 5(4), 81–93. https://doi.org/10.5539/sar.v5n4p81

53.

Kim

Grabe

G. E.

(2022). The influence of news brand cues and story content on citizen perceptions of news bias. The International Journal of Press/Politics, 27(1), 76–95. https://doi.org/10.1177/1940161220963580

54.

Kleemans

Schaap

Hermans

(2017). Citizen sources in the news: Above and beyond the vox pop? Journalism, 18(4), 464–481. https://doi.org/10.1177/1464884915620206

55.

Klein

K. J.

Hodges

S. D.

(2001). Gender differences, motivation, and empathic accuracy: When it pays to understand. Personality and Social Psychology Bulletin, 27(6), 720–730. https://doi.org/10.1177/0146167201276007

56.

Kogut

Ritov

(2005). The “identified victim” effect: An identified group, or just a single individual? Journal of Behavioral Decision Making, 18(3), 157–167. https://doi.org/10.1002/bdm.492

57.

Krieger

Smith

Naishadham

Hartman

Barbeau

E. M.

(2005). Experiences of discrimination: Validity and reliability of a self-report measure for population health research on racism and health. Social Science & Medicine, 61(7), 1576–1596. https://doi.org/10.1016/j.socscimed.2005.03.006

58.

Lawrence

E. J.

Shaw

Baker

Baron-Cohen

David

A. S.

(2004). Measuring empathy: Reliability and validity of the empathy quotient. Psychological Medicine, 34(5), 911–920. https://doi.org/10.1017/S0033291703001624

59.

Leach

C. W.

Spears

Branscombe

N. R.

Doosje

E. J.

(2003). Malicious pleasure: Schadenfreude at the suffering of another group. Personality and Social Psychology, 84(5), 932–943. https://doi.org/10.1037/0022-3514.84.5.932

60.

Lishner

D. A.

Batson

C. D.

Huss

(2011). Tenderness and sympathy: Distinct empathic emotions elicited by different forms of need. Personality and Social Psychology Bulletin, 37(5), 614–625. https://doi.org/10.1177/0146167211403157

61.

Maier

S. R.

Slovic

Mayorga

(2017). Reader reaction to news of mass suffering: Assessing the influence of story form and emotional response. Journalism, 18(8), 1011–1029. https://doi.org/10.1177/1464884916663597

62.

Ma-Kellams

M. S.

(2020). Gender, behavioral inhibition/activation, and emotional reactions to negative natural and social events. Personality and Individual Differences, 157, 109809. https://doi.org/10.1016/j.paid.2019.109809

63.

Mandela

(2008). Long walk to freedom: The autobiography of Nelson Mandela. Abacus.

64.

McAuliffe

W. H. B.

Forster

D. E.

Philippe

McCullough

M. E.

(2018). Digital altruists: Resolving key questions about the empathy-altruism hypothesis in an internet sample. Emotion, 18(4), 493–506. https://doi.org/10.1037/emo0000375

65.

Miklikowska

(2018). Empathy trumps prejudice: The longitudinal relation between empathy and anti-immigrant attitudes in adolescence. Developmental Psychology, 54(4), 703–717. http://doi.org/10.1037/dev0000474

66.

Miller

C. T.

Felicio

D. M.

(1990). Person-positivity bias: Are individuals liked better than groups? Journal of Experimental Social Psychology, 26, 408–420. https://doi.org/10.1016/0022-1031(90)90066-U

67.

Miller

(2002). Personalization and the promise of contact theory. Journal of Social Issues, 58(2), 387–410. https://doi.org/10.1111/1540-4560.00267

68.

Moeller

S. D.

(2002). A hierarchy of innocence: The media’s use of children in the telling of international news. The International Journal of Press/Politics, 7(1), 36–56. https://doi.org/10.1177/1081180X0200700104

69.

Mujica

Bachmann

(2016). The impact of melodramatic news coverage on information recall and comprehension. Journalism Studies, 19(3), 334–352. https://doi.org/10.1080/1461670X.2016.1190661

70.

Müller

Schwarz

(2023). From hashtag to hate crime: Twitter and anti-minority sentiment. American Economic Journal: Applied Economics, 15(3), 270–312. https://doi.org/10.1257/app.20210211

71.

Mullinix

K. J.

Leeper

T. J.

Druckman

J. N.

Freese

(2015). The generalizability of survey experiments. Journal of Experimental Political Science, 2(2), 109–138. https://doi.org/10.1017/XPS.2015.19

72.

Newman

Fletcher

Eddy

Robertson

C. T.

Nielsen

R. K.

(2023). Reuters Institute digital news report 2023. Reuters Institute for the Study of Journalism.

73.

Noh

Kaspar

Wickrama

K. A. S.

(2007). Overt and subtle racial discrimination and mental health: Preliminary findings for Korean immigrants. American Journal of Public Health, 97(7), 1269–1274. https://doi.org/10.2105/AJPH.2005.085316

74.

Ogan

Willnat

Pennington

Bashir

(2014). The rise of anti-Muslim prejudice: Media and Islamophobia in Europe and the United States. International Communication Gazette, 76(1), 27–46. https://doi.org/10.1177/1748048513504048

75.

Ong

J. C.

(2014). “Witnessing” or “mediating” distant suffering? Ethical questions across moments of text, production, and reception:. Television & New Media, 15(3), 179–196. https://doi.org/10.1177/1527476412454687

76.

Oransky

Marecek

(2009). “I'm not going to be a girl”: Masculinity and emotions in boys' friendships and peer groups. Journal of Adolescent Research, 24(2), 218–241. https://doi.org/10.1177/0743558408329951

77.

Otto

Glogger

Boukes

(2017). The softening of journalistic political communication: A comprehensive framework model of sensationalism, soft news, infotainment, and tabloidization. Communication Theory, 27(2), 136–155. https://doi.org/10.1111/comt.12102

78.

Paluck

E. L.

(2016). How to overcome prejudice. Science, 352(6282), 147. https://doi.org/10.1126/science.aaf5207

79.

Pantti

(2010). The value of emotion: An examination of television journalists’ notions on emotionality. European Journal of Communication, 25(2), 168–181. https://doi.org/10.1177/0267323110363653

80.

Pantti

(2011). Disaster news and public emotions. In Doveling

von Scheve

Konjin

E. A.

(Eds.), The Routledge handbook of emotions and mass media (pp. 221–236). Routledge.

81.

Pantti

Ojala

(2019). Caught between sympathy and suspicion: Journalistic perceptions and practices of telling asylum seekers’ personal stories. Media, Culture & Society, 41(3), 1031–1047. https://doi.org/10.1177/0163443718756177

82.

Pew Research Center. (2017, July 26). U.S. Muslims concerned about their place in society but continue to believe in American dream. https://www.pewresearch.org/religion/2017/07/26/findings-from-pew-research-centers-2017-survey-of-us-muslims/

83.

Pew Research Center. (2018, January 3). New estimates show U.S. Muslim population continues to grow. https://www.pewresearch.org/fact-tank/2018/01/03/new-estimates-show-u-s-muslim-population-continues-to-grow/

84.

Pew Research Center. (2021, September 1). Muslims are a growing presence in U.S., but still face negative views from the public. https://www.pewresearch.org/fact-tank/2021/09/01/muslims-are-a-growing-presence-in-u-s-but-still-face-negative-views-from-the-public/

85.

Pickel

Öztürk

(2018). Islamophobia without Muslims? The "contact hypothesis" as an explanation for anti-Muslim attitudes–Eastern European societies in a comparative perspective. Journal of Nationalism, Memory & Language Politics, 12(2), 162–191. https://doi.org/10.2478/jnmlp-2018-0009

86.

Public Religion Research Institute. (2017, February 6). Americans who interact with Muslims hold more positive views of Muslims, refugees. https://www.prri.org/spotlight/social-contact-muslims-refugee-ban/

87.

Ramasubramanian

(2007). Media-based strategies to reduce racial stereotypes activated by news stories. Journalism & Mass Communication Quarterly, 84(2), 249–264. https://doi.org/10.1177/107769900708400204

88.

Rochat

M. J.

(2022). Sex and gender differences in the development of empathy. Journal of Neuroscience Research, 101, 718–729. https://doi.org/10.1002/jnr.2500

89.

Saleem

Prot

Anderson

C. A.

Lemieux

A. F.

(2017). Exposure to Muslims in media and support for public policies harming Muslims. Communication Research, 44(6), 841–869. https://doi.org/10.1177/0093650215619214

90.

Saleem

Ramasubramanian

(2019). Muslim Americans’ responses to social identity threats: Effects of media representations and experiences of discrimination. Media Psychology, 22(3), 373–393. https://doi.org/10.1080/15213269.2017.1302345

91.

Saleem

Wojcieszak

M. E.

Hawkins

Ramasubramanian

(2019). Discrimination affect Muslim Americans’ identification as Americans and trust in the U.S. government. Journal of Communication, 69(2), 214–236. https://doi.org/10.1093/joc/jqz001

92.

Sassenrath

Pfattheicher

Keller

(2017). I might ease your pain, but only if you’re sad: The impact of the empathized emotion in the empathy-helping association. Motivation and Emotion, 41, 96–106. https://doi.org/10.1007/s11031-016-9586-2

93.

Sears

D. O.

(1983). The person-positivity bias. Journal of Personality and Social Psychology, 44(2), 233–250. https://doi.org/10.1037/0022-3514.44.2.233

94.

Sheeran

Webb

T. L.

(2016). The intention–behavior gap. Social and Personality Psychology Compass, 10(9), 503–518. https://doi.org/10.1111/spc3.12265

95.

Sides

Gross

(2013). Stereotypes of Muslims and support for the war on terror. The Journal of Politics, 75(3), 583–598. https://doi.org/10.1017/S0022381613000388

96.

Sirin

C. V.

Valentino

N. A.

Villalobos

J. D.

(2016). Group empathy theory: The effect of group empathy on US intergroup attitudes and behavior in the context of immigration threats. The Journal of Politics, 73(3), 893–908. https://doi.org/10.1086/685735

97.

Small

D. A.

Verrochi

N. M.

(2009). The face of need: Facial emotion expression on charity advertisements. Journal of Marketing Research, 46(6), 777–787. https://doi.org/10.1509/jmkr.46.6.777

98.

Smith

K. D.

Keating

J. P.

Stotland

(1989). Altruism reconsidered: The effect of denying feedback on a victim's status to empathic witnesses. Journal of Personality and Social Psychology, 57(4), 641–650. https://doi.org/10.1037/0022-3514.57.4.641

99.

Steinert

(2021). Corona and value change. The role of social media and emotional contagion. Ethics and Information Technology, 23(1), 59–68. https://doi.org/10.1007/s10676-020-09545-z

100.

Stel

Vonk

(2009). Empathizing via mimicry depends on whether emotional expressions are seen as real. European Psychologist, 14(4), 342–350. https://doi.org/10.1027/1016-9040.14.4.342

101.

Stephan

W. G.

Finlay

(1999). The role of empathy in improving intergroup relations. Journal of Social Issues, 55(4), 729–743. https://doi.org/10.1111/0022-4537.00144

102.

Stocks

E. L.

Lishner

D. A.

Decker

S. K.

(2009). Altruism or psychological escape: Why does empathy promote prosocial behavior? European. Journal of Social Psychology, 39(5), 649–665. https://doi.org/10.1002/ejsp.561

103.

Stuijfzand

De Wied

Kempes

Van de Graaff

Branje

Meeus

(2016). Gender differences in empathic sadness towards persons of the same-versus other-sex during adolescence. Sex Roles, 75(9–10), 434–446. https://doi.org/10.1007/s11199-016-0649-3

104.

Stürmer

Snyder

Kropp

Siem

(2006). Empathy-motivated helping: The moderating role of group membership. Personality and Social Psychology Bulletin, 32(7), 943–956. https://doi.org/10.1177/0146167206287363

105.

Thayer

Johnsen

B. H.

(2000). Sex differences in judgement of facial affect: A multivariate analysis of recognition errors. Scandinavian Journal of Psychology, 41(3), 243–246. https://doi.org/10.1111/1467-9450.00193

106.

Thurman

Schifferes

(2012). The future of personalization at news websites: Lessons from a longitudinal study. Journalism Studies, 13(5–6), 775–790. https://doi.org/10.1080/1461670X.2012.664341

107.

Turpin-Petrosino

(2022). Islamophobia and acts of violence: The targeting and victimization of American Muslims. Oxford University Press.

108.

Umbricht

Esser

(2016). The push to popularize politics: Understanding the audience-friendly packaging of political news in six media systems since the 1960s. Journalism Studies, 17(1), 100–121. https://doi.org/10.1080/1461670X.2014.963369

109.

van Aelst

Sheafer

Stanyer

. (2012). The personalization of mediated political communication: A review of concepts, operationalizations and key findings. Journalism, 13(2), 203–220. https://doi.org/10.1177/1464884911427802

110.

van Krieken

Hoeken

Sanders

(2015). From reader to mediated witness: The engaging effects of journalistic crime narratives. Journalism & Mass Communication Quarterly, 92(3), 580–596. https://doi.org/10.1177/1077699015586546

111.

van Rijn

Quiñones

E. J.

Barham

B. L

. (2018). Does empathic concern for children explain the gender-donations gap? [Agricultural & Applied Economics Staff Papers Series]. University of Wisconsin-Madison.

112.

Wahl-Jorgensen

(2013). The strategic ritual of emotionality: A case study of Pulitzer Prize-winning articles. Journalism, 14(1), 129–145. https://doi.org/10.1177/1464884912448918

113.

Wahl-Jorgensen

Pantti

(2021). Introduction: The emotional turn in journalism. Journalism, 22(5), 1147–1154. https://doi.org/10.1177/1464884920985704

114.

Warneken

Tomasello

(2009). The roots of human altruism. British Journal of Psychology, 100(3), 455–471. https://doi.org/10.1348/000712608X379061

115.

Weaver

D. H.

Willnat

Wilhoit

G. C.

(2019). The American journalist in the digital age: Another look at U.S. news people. Journalism & Mass Communication Quarterly, 96(1), 101–130. https://doi.org/10.1177/1077699018778242

116.

Winer

B. J.

Brown

D. R.

Michels

K. M.

(1991). Statistical principles in experimental design. McGraw Hill.

117.

Wong

J. S.

Harraway

(2020). Media presentation of homicide: Examining characteristics of sensationalism and fear of victimization and their relation to newspaper article prominence. Homicide Studies, 24(4), 333–352. https://doi.org/10.1177/1088767919896391

118.

Yildirim

B. O.

Derksen

J. J.

(2012). A review on the relationship between testosterone and life-course persistent antisocial behavior. Psychiatry Research, 200(2–3), 984–1010. https://doi.org/10.1016/j.psychres.2012.07.044

Supplementary Material

Please find the following supplemental material available below.

For Open Access articles published under a Creative Commons License, all supplemental material carries the same license as the article it is associated with.

For non-Open Access articles published, all supplemental material carries a non-exclusive license, and permission requests for re-use of supplemental material or any part of supplemental material shall be sent directly to the copyright owner as specified in the copyright notice associated with the article.

0.00 MB

0.42 MB

Empathy With Muslim Victims of Discrimination: Can Personalization and Emotionalization in News Reporting Pave the Way?

Abstract

Keywords

Mediated Inter-Group Contact and Empathizing With Minorities

Personalization and Emotionalization of Victims in the News

Prejudice, Personalization, and Emotionalization

Empathy-Based Altruistic Behavior

Moderating Effects of Gender

Method

Experimental Manipulation

Personalization

Emotionalization

Pretests

Participants and Procedure

Measures 8

Empathic Responses

Prosocial Behavioral Intent

Muslim Prejudice

Gender

Covariates

Analytical Strategy

Results

Discussion

Supplemental Material

sj-docx-1-jmq-10.1177_10776990231202702 – Supplemental material for Empathy With Muslim Victims of Discrimination: Can Personalization and Emotionalization in News Reporting Pave the Way?

Footnotes

Declaration of Conflicting Interests

Funding

Supplemental Material

Notes

Author Biographies

References

Supplementary Material

Measures⁸