Mitigating the consequences of negative news: How constructive journalism enhances self-efficacy and news credibility

An informed electorate is vital for a well-functioning democracy. Yet many citizens intentionally avoid the news because it evokes negative feelings of disempowerment and distrust. This study ( n = 270) investigated how social media exposure to a new journalistic approach, constructive journalism, influences news consumers. The results showed that constructive social media posts, as compared to negative posts, led to higher levels of positive affect, self-efficacy, and perceived news credibility. In line with the broaden-and-build theory of positive emotions, the effects on self-efficacy and news credibility were mediated by positive affect. A similar mediating role was found for negative affect, counter to the theoretical expectations. These findings shed new light on the broaden-and-build theory, suggesting parts of it generalize to the context of news exposure on social media. The findings also suggest that constructive journalism may be an effective way to mitigate some of the main drivers of news avoidance in the 21st century.

Signaling News Outlet Credibility in a Google Search

This study extends the literature on how transparency influences news credibility perceptions by examining trust signals at the news outlet level, rather than at the story level, as earlier research has done. Experiments in the United States ( n = 1,037) and Germany ( n = 1,000) found that exposure to trust signals in a Google search about a known news brand, rather than an unknown brand, and the German cultural context increased news credibility perceptions. Participants were more likely to click on trust signals that gave background about the news brand or offered ways to engage with a news outlet.

Social Trust-based Blockchain-enabled Social Media News Verification System

In the current digital era, information exchanges can be done easily through the Internet and social media. However, the actual truth of the news on social media platforms is hard to prove, and social media platforms are susceptible to the spreading of hoaxes. As a remedy, Blockchain technology can be used to ensure the reliability of shared information and can create a trusted communications environment. In this study, we propose a social media news spreading model by adapting an epidemic methodology and a scale-free network. A Blockchain-based news verification system is implemented to identify the credibility of the news and its sources. The effectiveness of the model is investigated by utilizing agent-based modelling using NetLogo software. In the simulations, fake news with a truth level of 20% are assigned a low News Credibility Indicator (NCI ± -0.637) value for all of the different network dimensions. Moreover, the Producer Reputation Credit is also decreased (PRC ± 0.213) so that the trust factor value is reduced. Our epidemic approach for news verification has also been implemented using Ethereum Smart Contract and several tools such as React with Solidity, IPFS, Web3.js, and Metamask. By showing the measurements of the credibility indicator and reputation credit to the user during the news dissemination process, this proposed smart contract can effectively limit user behaviour in spreading fake news and improve the content quality on social media.

Look Who’s Writing: How Gender Affects News Credibility and Perceptions of News Relevance

Women reporters are underrepresented in newsrooms and assigned to gender-stereotypic roles, but to what effect? To better understand the role of gender in news making, this article utilizes three survey experiments to investigate the effects of journalists’ gender on reader perceptions toward reporter credibility, outlet credibility, and the relevance of news to them. We find little evidence that readers doubt the credibility of a reporter or a news outlet based on the gender of a reporter, the gender of the source, or the gendered nature of the issue. Our findings have implications for media credibility and newsroom diversity.

Fake news on Facebook: examining the impact of heuristic cues on perceived credibility and sharing intention

PurposeAs the epidemic of online fake news is causing major concerns in contexts such as politics and public health, the current study aimed to elucidate the effect of certain “heuristic cues,” or key contextual features, which may increase belief in the credibility and the subsequent sharing of online fake news.Design/methodology/approachThis study employed a 2 (news veracity: real vs fake) × 2 (social endorsements: low Facebook “likes” vs high Facebook “likes”) between-subjects experimental design (N = 239).FindingsThe analysis revealed that a high number of Facebook “likes” accompanying fake news increased the perceived credibility of the material compared to a low number of “likes.” In addition, the mediation results indicated that increased perceptions of news credibility may create a situation in which readers feel that it is necessary to cognitively elaborate on the information present in the news, and this active processing finally leads to sharing.Practical implicationsThe results from this study help explicate what drives increased belief and sharing of fake news and can aid in refining interventions aimed at combating fake news for both communities and organizations.Originality/valueThe current study expands upon existing literature, linking the use of social endorsements to perceived credibility of fake news and information, and sheds light on the causal mechanisms through which people make the decision to share news articles on social media.