scholarly journals Professional versus Social Media: News Credibility and Impact

2018 ◽  
Author(s):  
Hadiza Wada
Keyword(s):  
Social Media ◽  
News Credibility

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

Journalism ◽  
2021 ◽  
pp. 146488492110627
Author(s):  
Christian Staal Bruun Overgaard
Keyword(s):  
Social Media ◽  
Positive Affect ◽  
Self Efficacy ◽  
Positive Emotions ◽  
Mediating Role ◽  
Negative News ◽  
News Credibility ◽  
Broaden And Build Theory ◽  
Negative Feelings ◽  
Constructive Journalism

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.

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

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Khudejah Ali ◽  
Cong Li ◽  
Khawaja Zain-ul-abdin ◽  
Muhammad Adeel Zaffar
Keyword(s):  
Public Health ◽  
Social Media ◽  
Design Methodology ◽  
Fake News ◽  
Content Type ◽  
Perceived Credibility ◽  
News Credibility ◽  
The Impact ◽  
Practical Implications ◽  
Active Processing

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.

Credibility Perceptions and Detection Accuracy of Fake News Headlines on Social Media: Effects of Truth-Bias and Endorsement Cues

2020 ◽  
pp. 009365022092132
Author(s):  
Mufan Luo ◽  
Jeffrey T. Hancock ◽  
David M. Markowitz
Keyword(s):  
Social Media ◽  
Deception Detection ◽  
Detection Accuracy ◽  
Fake News ◽  
Default Theory ◽  
Impact Detection ◽  
Truth Bias ◽  
News Credibility ◽  
Biased Processing ◽  
News Headlines

This article focuses on message credibility and detection accuracy of fake and real news as represented on social media. We developed a deception detection paradigm for news headlines and conducted two online experiments to examine the extent to which people (1) perceive news headlines as credible, and (2) accurately distinguish fake and real news across three general topics (i.e., politics, science, and health). Both studies revealed that people often judged news headlines as fake, suggesting a deception-bias for news in social media. Across studies, we observed an average detection accuracy of approximately 51%, a level consistent with most research using this deception detection paradigm with equal lie-truth base-rates. Study 2 evaluated the effects of endorsement cues in social media (e.g., Facebook likes) on message credibility and detection accuracy. Results showed that headlines associated with a high number of Facebook likes increased credibility, thereby enhancing detection accuracy for real news but undermining accuracy for fake news. These studies introduce truth-default theory to the context of news credibility and advance our understanding of how biased processing of news information can impact detection accuracy with social media endorsement cues.

scholarly journals NudgeCred: Supporting News Credibility Assessment on Social Media Through Nudges

2021 ◽  
Vol 5 (CSCW2) ◽  
pp. 1-30
Author(s):  
Md Momen Bhuiyan ◽  
Michael Horning ◽  
Sang Won Lee ◽  
Tanushree Mitra
Keyword(s):  
Social Media ◽  
Credibility Assessment ◽  
News Credibility

Understanding news sharing in social media

2014 ◽  
Vol 38 (5) ◽  
pp. 598-615 ◽  
Author(s):  
Long Ma ◽  
Chei Sian Lee ◽  
Dion Hoe-Lian Goh
Keyword(s):  
Social Media ◽  
Diffusion Of Innovations ◽  
Influential Factors ◽  
Opinion Leadership ◽  
Tie Strength ◽  
Diffusion Of Innovations Theory ◽  
Content Type ◽  
Self Perceptions ◽  
News Credibility ◽  
News Sharing

Purpose – The purpose of this paper is to draw from the diffusion of innovations theory to explore multi-levels of influences (i.e. individuals, networks, news attributes) on news sharing in social media. Design/methodology/approach – A survey was designed and administered to 309 respondents. Structural equation modelling analysis was conducted to examine the three levels of influential factors. These included self-perceptions of opinion leadership and seeking at the individual level, perceived tie strength and homophily at the network level, and finally, perceived news credibility and news preference at the news attribute level. Findings – The results revealed that the influences of self-perceptions of opinion leadership, perceived tie strength in online networks and perceived preference of online news had significant effects on users’ news sharing intention in social media. However, self-perceptions of opinion seeking, homophily, and perceived news credibility were not significant. Originality/value – This is one of the first studies on news sharing in social media that focus on diverse levels of influential factors. In particular, the research suggests the viability of the diffusion of innovations theory to explain this pervasive global phenomenon. Further, the influential factors identified may help to stimulate active participation in social media platforms and ultimately enhance the sustainability of these platforms.

scholarly journals Doubters are more convincing than advocates. The impact of user comments and ratings on credibility perceptions of false news stories on social media

2019 ◽  
Vol 8 (4) ◽  
pp. 446-470
Author(s):  
Jan P . Kluck ◽  
Leonie Schaewitz ◽  
Nicole C . Krämer
Keyword(s):  
Social Media ◽  
Misleading Information ◽  
News Stories ◽  
User Comments ◽  
News Credibility ◽  
Credibility Rating ◽  
Heuristic Information Processing ◽  
False News ◽  
The Impact ◽  
Sharing Behavior

False information on social media poses a crucial threat to our society, and calls for interventions to combat this problem are becoming louder. Users themselves may have the potential to diminish the impact of misleading information. In an online experiment with a 3 x 3 between-subjects design (credibility evaluation in user comments: positive vs. negative vs. none) x (numerical credibility rating: positive vs. negative vs. none), we tested the influence of bandwagon cues on the impact of a false news post on Facebook (N = 240). Contrary to prevalent assumptions regarding heuristic information processing, numerical credibility ratings had no influence on participants’ credibility appraisals and intended sharing behavior. However, negative user comments diminished the believability of false news. Moreover, participants’ willingness to share the news post publicly and privately was indirectly reduced by the effect of negative user comments on perceived news credibility.

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