Climate change poses a huge threat. Social networking sites (SNSs) have become sources of human–environment interactions and shaped the societal perception of climate change and its effect on society. This study, based on the extended parallel process model, aims to examine the effect of exposure to climate change-related information on SNSs on the pro-environmental behaviors of individuals. The study examines the mediation effect of fear of victimization from climate change between the exposure to climate change-related information on SNSs and pro-environmental behaviors, including the moderation effect of attention deficit and decision-making self-efficacy with the help of appropriate instruments. A total sample of 406 reliable questionnaires were collected from students using SNSs in China, and data were analyzed through SPSS and AMOS. Results indicate that the exposure to climate change-related information on SNSs has a direct positive effect on users’ pro-environmental behaviors (β = 0.299, p < 0.01). Fear of victimization from climate change also mediates the relationship between exposure to climate change-related information on SNSs and pro-environmental behaviors (β = 0.149, SE = 0.029, p < 0.01). In addition, attention deficit moderates the relationship of exposure to climate change-related information on SNSs with fear of victimization from climate change (β = −0.090, p ≤ 0.01) and pro-environmental behaviors (β = −0.090, p ≤ 0.05). Similarly, the relationship between fear of victimization from climate change and pro-environmental behaviors is moderated by decision-making self-efficacy (β = 0.267, p ≤ 0.01). The findings offer implications for media organizations and government policy makers, who should post or spread environmental information through the most trustworthy media, with trustworthy sources, in an effective manner, and without exaggerated adverse impacts.

During the coronavirus disease 2019 (COVID-19) pandemic, people use social networking sites (SNSs) to seek social support, ease the move toward the social distance, and communicate and engage with one another. However, there is growing evidence that trustworthiness and quality of information can affect individuals’ online engagement behaviors. This study proposes a theoretical model to test people’s online engagement during the COVID-19 pandemic by applying the elaboration likelihood model (ELM). Through a questionnaire survey of 630 SNS users, the study examines whether and how source credibility and information quality affect people’s online engagement during the COVID-19 pandemic. The model was tested using structural equation modeling. The findings show that source credibility and information quality have a significantly positive relationship with perceived benefit, while negative and significantly associated with perceived risk. Furthermore, perceived benefit is a stronger predictor of online public engagement than the perceived risk. To improve online public engagement as a crisis response strategy, careful source selection and careful generation of online crisis information should not be overlooked.

Background: Retrospecting the trust gaps and their dynamics during the pandemic is crucial for understanding the root causes of postpandemic challenges and offers valuable insights into preparing for future public health emergencies. The COVID-19 pandemic eroded people’s trust in strangers and acquaintances, while their trust in family members remained relatively stable. This resulted in 2 trust gaps, namely, the family members–strangers trust gap and the family members–acquaintances trust gap. Widening trust gaps impede social integration and undermine the effective management of public health crises. However, little is known about how digital media use shaped trust gaps during a pandemic. Objective: This study aims to investigate the relationships between digital media use, negative emotions, the family members–strangers trust gap, and the family members–acquaintances trust gap during the COVID-19 pandemic in China. We test the mediating role of negative emotions between digital media use and 2 trust gaps and compare the indirect effect of digital media use on 2 trust gaps through negative emotions. Methods: A cross-sectional web-based survey was conducted in China between January 31, 2020, and February 9, 2020. A total of 1568 adults participated in the survey. Questions related to digital media use, negative emotions, trust in family members, trust in acquaintances, and trust in strangers during the pandemic were asked. Regression analyses were performed to test the associations between the examined variables. We used a 95% bootstrap CI approach to estimate the mediation effects. Results: Digital media use was positively associated with negative emotions (B=0.17, SE 0.03; P<.001), which in turn were positively associated with the family members–strangers trust gap (B=0.15, SE 0.03; P<.001). Likewise, digital media use was positively associated with negative emotions (B=0.17, SE 0.03; P<.001), while negative emotions were positively associated with the family members–acquaintances trust gap (B=0.08, SE 0.03; P=.01). Moreover, the indirect effect of digital media use on the family members–strangers trust gap (B=0.03, SE 0.01; 95% CI 0.01-0.04) was stronger than that on the family members–acquaintances trust gap (B=0.01, SE 0.01; 95% CI 0.003-0.027). Conclusions: The results demonstrate that negative emotions resulting from the frequent use of digital media are a key factor that accounts for the widening trust gaps. Considering the increasing reliance on digital media, the findings indicate that the appropriate use of digital media can prevent the overamplification of negative emotions and curb the enlargement of trust gaps. This may help restore social trust and prepare for future public health crises in the postpandemic era.

Trust is a central construct of social research. While numerous studies have investigated trust as either a dependent or independent variable, little attention has been paid to its relationship with health-related behaviors in the context of a public health crisis. How trust in different entities influences people’s social distancing intention is therefore an important question that merits academic scrutiny. Moreover, the relationship between trust and social distancing intention cannot be well understood without an account of the information environment. As previous studies have reached a consensus about the limited effects of information exposure on individual outcomes, this research focuses on possible moderating effects. Results show that information exposure, no matter via interpersonal or media sources, has no direct effects on behavioral intention. Rather, risk communication serves as a moderator of the relationship between trust and social distancing intention.