Credibility and trust of information in online environments: The use of cognitive heuristics

By Miriam J. Metzger, Andrew J. Flanagin. 2013

925 citations recorded by the source corpus.

Subfields: Communication, Sociology and Political Science, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/c8af416a652781925b11c767d112209f5942f420

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Communication

In Sociology and Political Science

In Statistical and Nonlinear Physics

Citations in the corpus

Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty (2020, background): “Rooted in informationprocessing and decision-making theories [29, 85, 147], process models differentiate between an analytic, or systematic, process of trust formation, and an affective, or heuristic, process of trust formation [106, 125, 168].”
Expanding Explainability: Towards Social Transparency in AI systems (2021, background): “The above discussions show that ST could support forming appropriate trust and evaluation of AI through two essential routes, as established in prior work on trust and credibility judgment of technologies [68, 69, 98]: a central route that is based on a better understanding of the AI system, and a p”
The effects of information cues on perceived legitimacy of companies that promote corporate social responsibility initiatives on social networking sites (2018, background): “With the explosion of information disseminated through the Internet, the current digital media atmosphere has placed “an unparalleled burden on individuals to locate information that they can trust” (Metzger & Flanagin, 2013, p. 210).”
Factors affecting YouTube influencer marketing credibility: a heuristic-systematic model (2018, background): “…interactivity, and social in ﬂ uence are some of the heuristic information cues in ﬂ uencing a person ’ s perception of information credibility (Luo et al., 2013; Metzger & Flanagin, 2013; Stavrositu & Sundar, 2008; Sundar, 2008; Zha et al., 2018; Zhang et al., 2014; Zhou et al., 2016).”
Trust and Credibility in Web-Based Health Information: A Review and Agenda for Future Research (2017, background): “This presents individuals with significant challenges in evaluating and selecting the sources to use, and more specifically, in assessing the credibility and trustworthiness of those sources [11-14].”
How Corporate Social Advocacy Affects Attitude Change Toward Controversial Social Issues (2020, background): “It is known that the bandwagon heuristic increases the perception that information is credible (Metzger & Flanagin, 2013; Sundar, 2008), increases the likelihood that web videos will be watched (Fu & Sim, 2011), and increases the liking of news stories (Sundar et al., 2007).”
Misinformation on Instagram: The Impact of Trusted Endorsements on Message Credibility (2020, background): “Similarly, Metzger and Flanagin (2013) found that in online environments, reputation and endorsements are commonly used heuristics to evaluate credibility.”