Credibility Assessments of Online Health Information: The Effects of Source Expertise and Knowledge of Content

By Matthew S. Eastin. J. Comput. Mediat. Commun., 2006

404 citations recorded by the source corpus.

Subfields: Communication, General Health Professions, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/334490f4fc181d7940cd09b0a3ad6b326cfc727d

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Citations in the corpus

behaviors on the perceived credibility of web-based information The role of site features, user attributes, and information verification (2007, background): “In addition, further exploration of site attributes is warranted both theoretically and empirically (Burgoon et al., 2000; Eastin, 2001; Eysenbach and Kohler, 2002; Metzger et al., 2003; Schweiger, 2000) and the central role of user attributes and behaviors (e.”
In Search of Negativity Bias: An Empirical Study of Perceived Helpfulness of Online Reviews (2013, background): “On the other hand, source identity and source reputation have been acknowledged as key factors in health communications (e.g., Eastin, 2001), marketing (e.g., Homer & Kahle, 1990), and persuasive communications generally (e.g., DeBono & Harnish, 1988).”
Understanding Health Literacy for Strategic Health Marketing: eHealth Literacy, Health Disparities, and the Digital Divide (2008, background): “This is in line with a dual-process logic such that individuals who are highly motivated and able to process information are more likely to attend to and process all available information, whereas their low motivated and unable counterparts base their judgments more on peripheral features of sites (”
Effects of Online Health Sources on Credibility and Behavioral Intentions (2010, methodology): “For example, in Eastin’s (2001) experiment evaluating the effects of source expertise on perceived credibility of health information on a Web site, source expertise was manipulated such that an HIV specialist represented a source with high expertise, followed by a widow of an AIDS victim representin”
Trust and Credibility in Web-Based Health Information: A Review and Agenda for Future Research (2017, neutral): “[8] (C); [11] (T); [12] (C); [30] (C); [32] (C); [33] (T); [34] (C & T); [43] (C); [48] (T); [49] (T); [50] (T); [52] (E); [55] (T); [67] (T); [66] (C); [58] (T); [61] (T); [62] (C); [65] (T); [68] (C); [69] (T) Authority of author Positive Information content features”
Mental Health Smartphone Apps: Review and Evidence-Based Recommendations for Future Developments (2016, positive): “Notably, users have a tendency to perceive health information on the Internet as being credible [209], so this raises the ethical imperative of ensuring that all information is strictly evidence based.”
Factors affecting YouTube influencer marketing credibility: a heuristic-systematic model (2018, background): “a product or brand) would scrutinise the information more carefully and sceptically (Eastin, 2001; Wathen & Burkell, 2002).”
A Little Bird Told Me, So I Didn't Believe It: Twitter, Credibility, and Issue Perceptions (2012, background): “Given that other research (Eastin, 2001) has found that health information from experts is seen as more credible, it could be that the selecting aspect of the process acted to partly mask normal source effects.”
"Highly Recommended!" The Content Characteristics and Perceived Usefulness of Online Consumer Reviews (2011, background): “Indirect support for such an expectation has been provided by Eastin (2001), who studied the effects of source expertise on the credibility of online health information.”