In recent years, the emergence of fake news outlets has drawn out the importance of news literacy. This is particularly critical in social media where the flood of information makes it difficult for people to assess the veracity of the false stories from such deceitful sources. Therefore, people oftentimes fail to look skeptically at these stories. We explore a way to circumvent this problem by nudging users into making conscious assessments of what online contents are credible. For this purpose, we developed FeedReflect, a browser extension. The extension nudges users to pay more attention and uses reflective questions to engage in news credibility assessment on Twitter. We recruited a small number of university students to use this tool on Twitter. Both qualitative and quantitative analysis of the study suggests the extension helped people accurately assess the credibility of news. This implies FeedReflect can be used for the broader audience to improve online news literacy.
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Reluctant to Share: How Third Person Perceptions of Fake News Discourage News Readers From Sharing “Real News” on Social Media
Rampant fake news on social media has drawn significant attention. Yet, much remains unknown as to how such imbalanced evaluations of self versus others could shape social media users’ perceptions and their subsequent attitudes and behavioral intentions regarding social media news. An online survey ( N = 335) was conducted to examine the third person effect (TPE) in fake news on social media and suggested that users perceived a greater influence of fake news on others than on themselves. However, although users evaluated fake news as socially undesirable, they were still unsupportive of government censorship as a remedy. In addition, the perceived prevalence of fake news leads audiences to reported significantly less willingness to share all news on social media either online or offline.
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- Award ID(s):
- 2128642
- NSF-PAR ID:
- 10274045
- Date Published:
- Journal Name:
- Social Media + Society
- Volume:
- 6
- Issue:
- 3
- ISSN:
- 2056-3051
- Page Range / eLocation ID:
- 205630512095517
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.1177/2056305120955173
