Factors influencing content credibility in Facebook’s news feed
Sonia Sousa,Sonia Sousa,Neil Bates +2 more
- Vol. 3, Iss: 1, pp 69-78
Reads0
Chats0
TLDR
In this article, an exploratory inquiry into the problematic phenomenon of fake news on Facebook, aiming at providing an inside view on how users in the United Kingdom (UK) value the credibility of news posts on Facebook in a post-Brexit era, was conducted.Abstract:
This study reports an exploratory inquiry into the problematic phenomenon of fake news on Facebook, aiming at providing an inside view on how users in the United Kingdom (UK) value the credibility of news posts on Facebook in a post-Brexit era Participants (n = 201) were asked to review four different Brexit-related Facebook posts that linked to news articles from UK tabloids that were published between 2016 and 2019 Two of the posts were debunked as fake news, while the other two were verified as real news The authors of each Facebook post were different: two from UK tabloids and two from unknown individuals Respondents were asked to identify the credibility of the news posts in Facebook’s news feed The results indicate that the author of the post significantly influences users’ perceived credibility For instance, a fake news post from an individual is perceived as the least trustworthy, while a real news post from an individual and a fake news post from a tabloid are somewhat similarly perceived The content of a post is seen as most trustworthy when it is a real news post from a tabloid and as least credible when it is a fake news post from an individual Finally, in two cases, credibility can predict willingness to interact with a post The research concludes with a set of recommendations for future researchread more
Citations
More filters
Journal ArticleDOI
An AI-Enabled Stock Prediction Platform Combining News and Social Sensing with Financial Statements
Traianos-Ioannis Theodorou,Alexandros Zamichos,Michalis Skoumperdis,Anna Kougioumtzidou,Kalliopi Tsolaki,Dimitris Papadopoulos,Thanasis Patsios,George Papanikolaou,Athanasios Konstantinidis,Anastasios Drosou,Dimitrios Tzovaras +10 more
TL;DR: In this article, the authors present ASPENDYS, a supportive platform for investors that combines various methods from the aforementioned scientific fields aiming to facilitate the management and the decision making of investment actions through personalized recommendations.
Journal ArticleDOI
Challenges and Trends in User Trust Discourse in AI Popularity
TL;DR: In this paper , the authors aim to clarify some misconceptions about user trust in AI discourse and fight the tendency to design vulnerable interactions that lead to further breaches of trust, both real and perceived.
Journal ArticleDOI
Costly Displays in a Digital World: Signalling Trustworthiness on Social Media
TL;DR: In this article , a deceptively simple dictum is proposed: the internet makes talk cheap, and cheap talk can't be trusted, and the fact that coinciding interests cannot be taken for granted, and that language, as the principal medium through which would-be interactants make their interests known, doesn't discriminate between true and feigned proclamations of good intent.
Journal ArticleDOI
Human-centered trust framework: An HCI perspective
TL;DR: In this article , the authors proposed a framework (HCTFrame) to guide non-experts to unlock the full potential of user trust in AI design, based on the current user trust discourse of Artificial Intelligence (AI).
References
More filters
Book
Discovering Statistics Using Ibm Spss Statistics
TL;DR: The Fourth Edition of Andy Field's Discovering Statistics Using SPSS 4th Edition focuses on providing essential content updates, better accessibility to key features, more instructor resources, and more content specific to select disciplines.
Journal ArticleDOI
Making sense of Cronbach's alpha
Mohsen Tavakol,Reg Dennick +1 more
TL;DR: The meaning of Cronbach’s alpha, the most widely used objective measure of reliability, is explained and the underlying assumptions behind alpha are explained in order to promote its more effective use.
Journal ArticleDOI
The spread of true and false news online
TL;DR: A large-scale analysis of tweets reveals that false rumors spread further and faster than the truth, and false news was more novel than true news, which suggests that people were more likely to share novel information.
Journal ArticleDOI
Fake News Detection on Social Media: A Data Mining Perspective
TL;DR: Wang et al. as discussed by the authors presented a comprehensive review of detecting fake news on social media, including fake news characterizations on psychology and social theories, existing algorithms from a data mining perspective, evaluation metrics and representative datasets.
Journal ArticleDOI
Social and Heuristic Approaches to Credibility Evaluation Online
TL;DR: The authors found that most users rely on others to make credibility assessments, often through the use of group-based tools, and that participants routinely invoked cognitive heuristics to evaluate the credibility of information and sources online.
Related Papers (5)
Consuming Fake News: A Matter of Age? The Perception of Political Fake News Stories in Facebook Ads
Eugène Loos,Jordy Nijenhuis +1 more