1. Introduction
Online news, is characterized by quickness, multimedia, and interaction. With the rapid development of the internet and social media, application software such as TikTok gradually changed from entertainment platforms to information platforms with a new nature and has become essential channels for netizens to obtain news. Therefore, the online news belief has become an important social issue and academic focus.
News belief involves complex cognitive processing, and it has been mainly explored from two aspects: individual differences in recipients and the characteristics of news. Concerning individual differences, previous research has found that differences in many traits may affect the news belief, such as personality [
1,
2], thinking style [
3,
4], and prior attitudes[
5,
6].
The emotional contagion theory posits that emotional sharing between individuals forms the basis of empathy[
7]. Individuals with strong empathic abilities were found to have strong emotional sharing abilities[
8]. We, therefore, speculated that individuals with high trait empathy might have a stronger ability to share emotions, which made them more likely to develop immersive understanding and resonance with news content and to believe in online news content. In other words, an individual’s trait of empathy might influence their belief in online news. However, to date, little attention has been devoted to the impact of empathy on online news belief and its internal processes. This study focused on the role of empathy in the online news belief. It aimed to address the following questions: Firstly, would individual differences in trait empathy influence news belief? Secondly, if so, what would be the internal processes behind this influence?
1.1. Trait empathy and the online news belief
Trait empathy (TE) refers to “the ability to share the feelings and experiences of others by imagining their situation”[
9]. Cognitive empathy (CE) and affective empathy (AE) are the two primary components of it. CE refers to the ability to engage in cognitive role-taking or the cognitive processes involved in adopting the psychological perspective of others. AE involves responding emotionally to the experiences observed in others or sharing the feelings of a companion[
10].
Limited existing research suggested that TE may influence online news beliefs. For example, Martel et al. [
11] found that a higher level of emotional arousal before reading news predicted greater belief in fake (rather than real) news. Although this study did not directly measure individual TE, its emotional indicators were somewhat related to individual TE, in which the Positive and Negative Affect Schedule (PANAS) scale was used to assess participants’ emotional state before reading news. Preston et al. [
12] found that participants with higher emotional intelligence (Attending to Emotions, Emotion-Based Decision-Making, and Empathic Concern) were less likely to be misled by fake news. However, their fake news detection task combined judgments of objectivity, professionalism, argument strength, and belief in the items. Furthermore, they did not explicitly separate the roles of two different components of empathy in the news belief. Therefore, more experimental evidence is needed to elucidate the relationship between empathy and online news belief.
This study directly investigated the impact of different components of TE on online news belief, we proposed Hypothesis 1: an individual’s AE, rather than CE, would be related to his belief in online news. Specifically, higher scores in AE would be associated with higher belief in online news.
1.2. The mediating effect of state empathy in affective empathy-the believability of online news
State empathy (SE) refers to the emotional response that individuals experience when imagining or observing the emotional state or circumstances of others [
13]. Empathy in daily life often occurs within specific contexts and is influenced by situational factors. Rusting [
14] suggested that the influence of TE on emotion processing is mediated by SE. SE in specific situations or tasks might reflect either stimulus or task-induced state effects or more stable TE. Research examining emotions has shown that emotional traits generally correlate positively with emotional states and generate a propensity to experience related emotional states [
15]. It was also demonstrated that emotions induced by news reading can influence belief [
16,
17]. Wang et al. [
17] uncovered a positive correlation between belief in misinformation about food safety and negative emotions, and negative emotion partially mediated the relationship between misinformation and the subsequent diffusion on social media and completely mediated the relationship between misinformation and the subsequent face-to-face diffusion among high-trust individuals.
Therefore, when investigating the relationship between TE and the belief in online news, it was essential to consider SE. We proposed Hypothesis 2: SE (characterized by emotional response following headline reading) would partially mediate the effects of AE on the belief in online news.
1.3. The moderating effect of news type on affective empathy-state empathy- the belief in online news
Though the results of Piksa et al. [
18] that those who believed the real news also believed the fake news suggested no relationship between belief and news type, more results support indirectly that belief may be influenced by the type of news. Studies focusing on individual differences have found that thinking style only affected the belief in fake news but not real news [
6,
19]. Studies examining factors influencing online news belief [
11,
20] have also observed similar news-type effects. Furthermore, Bago et al.[
16] found no significant differences in emotional responses among participants reading real and fake news, but emotional experiences during reading weakened the belief in fake news more than real news. The moderating effect of news type was thus expected to occur in the relationship between SE and the belief in online news. We thus proposed Hypothesis 3: The influence of SE on the belief in online news would be moderated by news type.
In conclusion, using a fake news detection task similar to Pennycook et al.[
21], the present study aimed to investigate the impact of TE on news belief and its internal processes. The participants’ TE scores, comprising CE and AE dimensions, would be assessed using the IRI-C scale. Participants would be instructed to read real and fake news and evaluate measures such as emotional response and believability for each news item. The news headlines would be presented in a format similar to online news, complete with headlines, images, and accompanying descriptive text. To ensure a content-independent understanding of the relationship between empathy and the belief in online news, the topics would encompass a wide range, including social issues, current events, and scientific knowledge.
2. Materials and Methods
2.1. Participants
Totally 149 undergraduates were recruited. After excluding 9 participants who did not complete all experiments diligently, 140 participants (47 males, 19.67 ± 2.16 years) were included. All participants had normal or corrected-to-normal vision. All participants signed an informed consent form. The present study was approved by the Ethics Committee of Tianjin Normal University (No. 2023091104).
2.2. Materials
There were 100 news headlines. Considering the interference of the experimental duration on the data quality, the 100 headlines were divided into two sets that matched valence (3.23 ± 1.24 vs. 3.01 ± 1.03,
t(49) = 1.103,
p = 0.275), arousal (4.09 ± 0.48 vs. 4.07 ± 0.50,
t(49) = 0.184,
p = 0.855), familiarity (3.22 ± 0.39 vs. 3.22 ± 0.41,
t(49) = -0.109,
p = 0.914), empathy (4.66 ± 0.54 vs. 4.75 ± 0.56,
t(49) = -1.158,
p = 0.252), and believability (5.17 ± 0.85 vs. 5.05 ± 0.68,
t(49) = 1.207,
p = 0.253). Each set included 25 real and 25 fake headlines, All fake news headlines were initially taken from a well-known Chinese fact-checking website (
https://www.piyao.org.cn/pysjk/frontsql.html). Real news headlines were selected from mainstream news sources (e.g.,
www.cctv.com). The materials were presented in the format of typical online news articles (including headlines, images, and descriptive text). The topics of the materials covered various aspects of social issues, current events, and general scientific knowledge. All news images were standardized to a size of 1250×780 pixels using Photoshop.
The IRI-C [
22] comprises 22 items and is rated on a 5-point Likert scale, from 0 (does not describe me well) to 4(describes me very well). Higher scores indicate a higher level of empathy. The scale is divided into four subscales: Perspective Taking (PT), Fantasy Scale (FS), Empathetic Concern (EC), and Personal Distress (PD). The PT and FS fall under CE, while EC and PD are related to AE. The Cronbach’s α for the scale was 0.753.
2.4. Procedure
The experiments were programmed using E-prime software. The news was presented on the center of the computer screen in a pseudo-random order. The number of displays of real and false news headlines at the start was balanced among participants. Participants were instructed to read the content of each news thoroughly and then to report their feelings by pressing the number keys on the keyboard, which included their emotion response (1 – Can’t feel it at all; 7 – Can totally feel it), believability(1 – Extremely unbelievable; 7 – Extremely believable), valence(1 – Very negative; 4 – neural; 7 – Very positive), arousal(1 – Not at all; 7 – Extremely), familiarity(1 – Not at all; 7 – Extremely). The experiment lasted approximately 60 minutes with one break, after which IRI-C questionnaire data and demographic data were collected.
3. Results
3.1. Descriptive results and correlation analysis
Paired samples t-tests examined the differences in valence, arousal, and familiarity between real and fake news. It revealed that fake news had significantly lower valence compared to real news (2.80 ± 0.69 vs. 3.45 ± 1.39, t(49) = -4.12, p < 0.001), and fake news was similar to real news in arousal (4.04 ± 0.50 vs. 4.12 ± 0.47, t(49) = -1.06, p = 0.297), and familiarity (3.23 ± 0.50 vs. 3.21 ± 0.28, t(49) = 0.31, p = 0.758).
Pearson’s correlation analysis revealed that SE was positively correlated with TE, AE, and believability; TE was positively correlated with its AE component and CE component; believability was positively correlated with TE and AE; AE was positively correlated with CE. The other pairwise correlations are not significant. These results were presented in
Table 1.
3.2. The Influence of Affective Empathy on News Beliefs: The Mediate Effect of State Empathy
The mediating effect was examined based on Hayes
’s Bootstrap method[
23], using Hayes Process Macro 4.0 in SPSS 29, with a sample size of 5000 and a 95% confidence interval. In the model, AE served as the independent variable (X), belief in the news (believability) as the dependent variable (Y), valence as the control variable (S), and SE as the mediating variable (M). As
Figure 1 shows, the results supported the hypothesis: SE partially mediated the influence of AE on news believability.
3.3. The moderating effects of news types on the mediating role of state empathy toward affective empathy and Believability
In a moderated mediation analysis, AE served as the independent variable (X), believability as the dependent variable (Y), SE as the mediating variable (M), valence as the control variable (S), and news type (fake news = 0, real news = 1) as the moderating variable (V). Additionally, simple slope tests were conducted.
Statistical analysis showed that in the influence of AE on believability, the mediating role of news types in the path of AE affecting SE was not valid (
b = -0.002,
SE = 0.007, 95%CI = [-0.015, 0.011]). But, news types had a mediating effect on the path of SE affecting belief in the influence of AE on believability. As shown in
Figure 2.
Table 2 presented the mediation effects and bootstrap confidence intervals for different levels of the moderating variable (news type) in the relationship between AE and believability. The results indicated that SE partially mediated the influence of AE on believability both real and fake news.
To further analyze the interaction effect between news type and state, simple slope tests were conducted to calculate separate effect values of news type
“real
” and
“fake.
” The results are illustrated in
Figure 3. The SE predicted believability under
“real
” and
“fake
” news conditions. However, the predictive effect of SE on believability was significantly greater in the
“fake
” news condition (
b = 0.431) compared to the
“real
” news condition (
b = 0.202).
4. Discussion
This study investigated the relationship between TE and the belief in online news and the mediating and moderating roles of state empathy and news type. The results revealed that state empathy mediated the relationship between AE and belief in online news, and the news types played a moderating role in it.
4.1. The Influence of Trait Empathy on the Believability of News
The influence of TE on cognition has been extensively studied [
24,
25,
26,
27,
28]. However, few studies addressed questions about the impact of TE on the belief in online news. This study found that the AE rather than CE within TE positively correlated with the belief in online news, supporting hypothesis 1.
Previous studies have also found that people’s behavior (e.g., altruistic behavior and moral decision-making) is more influenced by AE rather than CE [
29,
30]. Our finding separated the roles of CE and AE in the belief in online news. The effect of AE on the belief in online news might be related to thinking styles. It was found that the performance of rational thinking was related to the news belief [
6,
31]. The dual-process model of empathy posits that CE is a more rational process, while AE is less rational [
32]. Individuals with strong AE may prefer less rational thinking [
33,
34]. Thus, individuals with high AE are more likely to believe fake news.
4.2. The Mediating Effect of State Empathy
In the impact of AE on news belief, it was found that empathy partially mediated this relationship, elucidating the internal process of how AE influences news belief, thus confirming hypothesis 2. Specifically, individuals with higher AE exhibited higher levels of SE in the task context, leading to higher belief in news.
There is limited research on the relationship between SE and the belief in online news. Generally, this result was consistent with a few existing studies, particularly those using political news as their material [
5,
16]. Rijo and Waldzus [
5] found that the belief in the news was influenced by the emotional response of participants with different political beliefs during headline reading. Their findings highlighted the relationship between individual differences in political beliefs, specific types of emotional responses, and the belief in political news. The present study revealed a relationship between individual differences in TE, SE, and the belief in non-political news, the conclusion of which may be more generalizable.
4.3. The Moderating Effect of News Type
Furthermore, the present study revealed that news type moderated the SE’s effects on belief. Specifically, SE significantly predicted the belief of both real and fake news, but with a more significant effect on the belief in fake news. It is suggested that individuals with high AE are easier to believe the news, especially fake news, partially because they are more likely to be emotionally responsive when reading the news. According to the theory of emotional economics, fake news creators intentionally write stories that evoke emotions to gain attention and generate revenue on social media platforms [
35]. Therefore, individuals with high AE should be cautious when using social media and consciously evaluate the believability of news content that triggers empathy.
Although previous research did not explicitly investigate the moderating role of news type in online news belief, many studies focused on fake news have found that certain factors have different impacts on the belief in different news types [
36,
37], as mentioned in the Introduction. Martel et al. [
11] found that specific emotions (such as interest, excitement, fear, tension, etc.) before reading news headlines significantly predicted higher belief in fake (but not real) news. Additionally, compared to a control induction or a reason induction, an emotion induction led to higher belief in fake but not real news. From the perspective of empathy, our study clarified the role of news type in the news belief, elucidating how news type moderated the AE - SE - news belief.
4.4. Limitations and Future Research
However, there are still some limitations in the present study. First, caution is needed when extrapolating our results. Our participants were native Chinese, and the number of male participants was lower than that of females. There can be cultural and gender differences in both emotional response and belief in online news. Second, there is a lack of direct evidence for our thinking style to explain the effect of AE on belief. Future studies should include a Cognitive Reflection Test [
38] to investigate the relationship between empathy, analytical thinking, and belief in online news. Additionally, future research can also incorporate functional Magnetic Resonance Imaging (fMRI) to examine the neural basis of the relationship between empathy and belief in online news, which can provide objective evidence at the neural level regarding how AE, rather than CE, influences the belief in online news and enrich our understanding of how empathy influences the belief in online news in the digital age.
5. Conclusions
1. Affective empathy, rather than cognitive empathy, influenced the believability of online news. 2. Within the impact of affective empathy on news believability, state empathy acted as a partial mediator 3. News type moderated the state empathy’s effects on belief, and state empathy predicted the belief in fake news to a greater extent than that of real news. Our findings shed light on the influence of empathy on the believability of online news and its internal processes and provide a possible strategy to reduce belief in fake news.
Author Contributions
Conceptualization, Yifan Yu; Data curation, Yifan Yu, Shizhen Yan and Zhenzhen Xu; Formal analysis, Yifan Yu, Shizhen Yan and Qihan Zhang; Investigation, Yifan Yu and Zhenzhen Xu; Methodology, Yifan Yu, Shizhen Yan and Qihan Zhang; Project administration, hua jin; Resources, Yifan Yu and Zhenzhen Xu; Software, Yifan Yu; Supervision, hua jin; Validation, Yifan Yu, Qihan Zhang and Guangfang Zhou; Visualization, Yifan Yu; Writing – original draft, Yifan Yu; Writing – review & editing, Qihan Zhang, Guangfang Zhou and hua jin.
Funding
This research received no external funding.
Institutional Review Board Statement
The study was conducted in accordance with the Declaration of Helsinki, and approved by the Ethics Committee of Tianjin Normal University (No. 2023091104).
Informed Consent Statement
Informed consent was obtained from all subjects involved in the study.
Data Availability Statement
Conflicts of Interest
All authors disclosed no relevant relationships. The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.
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