Social and Heuristic Approaches to Credibility Evaluation Online

By Miriam J. Metzger, Andrew J. Flanagin, R. Medders. 2010

1,321 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Communication, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/2e2ed4812e22d6b363b7440588e84e5c6d227b0a

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Citations in the corpus

News Recommendations from Social Media Opinion Leaders: Effects on Media Trust and Information Seeking (2015, background): “…information credibility on social media improves when the person sharing the content holds values and predispositions which match the recipient (Metzger et al., 2010), Facebook offers an especially unique domain to explore news credibility and opinion leadership given that Facebook networks…”
Credibility Perceptions and Detection Accuracy of Fake News Headlines on Social Media: Effects of Truth-Bias and Endorsement Cues (2020, background): “Aggregated social endorsement can be derived from either known or unknown others (Metzger et al., 2010).”
Measuring Message Credibility (2016, methodology): “This model has been tested by several researchers, including Metzger, Flanagin, and Medders (2010), who found that participants made credibility judgments with the help of social cues and information sharing.”
The Importance of Source and Credibility Perception in Times of Crisis: Crisis Communication in a Socially Mediated Era (2015, background): “The persuasive intent heuristic posits that there is an ulterior motive on the part of information source, which negatively affects credibility perceptions (Metzger et al., 2010).”
Psychological Approaches to Credibility Assessment Online (2015, background): “People tend to trust sites and sources that are trusted and recommended by known others, or that come from unknown persons in aggregated form (Metzger et al., 2010).”
Credibility and trust of information in online environments: The use of cognitive heuristics (2013, methodology): “Advertising, for example, is a very strong negative credibility cue, and especially when the advertising is unexpected (Fogg et al., 2003; Metzger et al., 2010).”
When Do Audiences Verify? How Perceptions About Message and Source Influence Audience Verification of News Headlines (2020, background): “Metzger, Flanagin, and Medders (2010) found source reputation to be a prevalent shortcut people used for assessing credibility, “rather than a close inspection of content of source credentials” (p. 426).”
Can Students Evaluate Online Sources? Learning From Assessments of Civic Online Reasoning (2018, background): “…use cues and heuristics to decide if a website is credible, including the authority of a search engine, site design and functionality, previous experience with or referral to a site, and perceived expertise (cf. Flanagin & Metzger, 2007; Fogg et al., 2003; Metzger et al., 2010; Sundar, 2008).”
Believing and sharing misinformation, fact-checks, and accurate information on social media: The role of anxiety during COVID-19 (2021, background): “However, another explanation for these same outcomes is that individuals simply possess different beliefs about which sources are accurate (Druckman and McGrath, 2019), since source credibility and trustworthiness are known to influence beliefs (Metzger et al., 2010; Pornpitakpan, 2004; Wilson and S”
Do You Trust an AI-journalist? A Credibility Analysis of News Content with AI-Authorship (2021, background): “As a solution, certain clues are being applied from which credibility can be inferred (Taraborelli, 2008; Metzger, Flanagin and Medders, 2010).”
The effects of information cues on perceived legitimacy of companies that promote corporate social responsibility initiatives on social networking sites (2018, background): “A bandwagon heuristic cue (e.g., a high number of followers) might direct consumers to process information via heuristic routes, leading them to ignore information that requires more cognitive effort, such as comment valence (Metzger et al., 2010).”
Audiences’ acts of authentication in the age of fake news: A conceptual framework (2018, background): “This includes relying on their interpersonal connections in their evaluations of the information they encounter (Metzger et al., 2010), as well as relying on institutions, such as the news media, in verifying information about the world around them (Metzger et al., 2003).”
Nudge Effect of Fact-Check Alerts: Source Influence and Media Skepticism on Sharing of News Misinformation in Social Media (2020, background): “, 2012), and positively affecting users’ perceptions of the quality of their informational sources and credibility of content (Metzger et al., 2010).”
Shared identity and shared information in social media: development and validation of the identity bubble reinforcement scale (2018, background): “On social media, people often make fast decisions in communication and content evaluation, and they tend to rely on their friends’ opinions and evaluations (Flanagin, 2017; Hocevar et al., 2014; Metzger et al., 2010).”