behaviors on the perceived credibility of web-based information The role of site features, user attributes, and information verification
By Andrew J. Flanagin, Miriam J. Metzger. 2007
545 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/d581a7391d5435659c11d0d0592de377a47281ca
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Carlos Castillo
- Andrew J. Flanagin
- Miriam J. Metzger
- Elmie Nekmat
- Emily K. Vraga
- Sony Kusumasondjaja
- Shyam Sundar
- Eszter Hargittai
Citations in the corpus
- Trust Online: Young Adults' Evaluation of Web Content (2010, methodology): “Commenting on this body of work, Metzger stated: “people know they ‘should’ critically analyze the information they obtain online, yet rarely have the time or energy to do it” (Metzger, 2007, p. 2078).”
- Talking about CSR matters: employees’ perception of and reaction to their company’s CSR communication in four different CSR domains (2019, background): “Message credibility, which can be considered as a primarily cognitive evaluation, can be defined as the degree to which a receiver perceives a message to be accurate, believable, trustworthy, and unbiased (Flanagin and Metzger 2000, 2007 ).”
- When do consumers buy online product reviews? Effects of review quality, product type, and reviewer's photo (2014, background): “Participants also rated how credible (trustworthy, honest), expert (professional, useful), and likable (likable, interesting, likely to buy from this website) the website was on a 7-point bipolar scale (Flanagin & Metzger, 2007; Gefen & Straub, 2003).”
- Online Social Influence and the Convergence of Mass and Interpersonal Communication (2017, background): “Greater source credibility generally results in greater persuasion (Pornpitakpan, 2004) and both institutional and user-generated content is seen as more credible when originating from well-established, authoritative, or reputable sources (Flanagin & Metzger, 2007, 2011).”
- Information credibility on twitter (2011, background): “by style-related attributes, including visual design, which are not directly related to the content itself [9].”
- Credibility in the blogosphere: A study of measurement and influence of wine blogs as an information source (2015, background): “When extending credibility assessment to the Web environment, Flanagin and Metzger (2007) note the complexity of the task, indicating that credibility assessment of information may be at the level of authorship, message, site sponsor, or medium.”
- Nudge Effect of Fact-Check Alerts: Source Influence and Media Skepticism on Sharing of News Misinformation in Social Media (2020, result): “Online credibility studies comparing legacy news sources and less recognized ones confirm the consistently low user credibility rating of unknown news sources (e.g., OnlineNews.com) as compared to familiar, established news sites, such as www.CNN.com (Flanagin & Metzger, 2007).”
- Social and Heuristic Approaches to Credibility Evaluation Online (2010, background): “Flanagin and Metzger (2007), for example, found experimental evidence that site design features play an important role in credibility assessment, corroborating Fogg et al.’s (2003) survey findings that site presentation features were the primary factor influencing people’s credibility judgments.”
- Credibility of online reviews and initial trust (2012, methodology): “This scale is used to measure the construct of credibility in several previous studies (e.g. Flanagin and Metzger, 2000, 2007; Metzger et al., 2003; West, 1994).”
- Testing Logic-based and Humor-based Corrections for Science, Health, and Political Misinformation on Social Media (2019, methodology): “Fourth, our measures of message credibility are adapted from previous work on user corrections (Vraga & Bode, 2018), but are limited in scope and not directly comparable to other common measures of credibility (e.g., Flanagin & Metzger, 2007).”
- Determinants of consumer engagement in electronic word-of-mouth (eWOM) in social networking sites (2011, background): “Further, since SNSs enable the users to articulate and maintain real-world relationships (e.g. friends and family) and easily exchange information with them, the established trust may extend to the other contacts in networks in general, thereby improving the overall sense of trust in the…”
- Confirmation biases in selective exposure to political online information: Source bias vs. content bias (2017, background): “Along these lines, sources perceived as more balanced and objective are also considered more credible and authoritative (Flanagin & Metzger, 2007).”
- Reading Into the Future: Competence for the 21st Century (2012, background): “…information now accessible is that high value appears to be placed on easy access to increasing amounts of information, rather than on the quality of that information (Fast & Campbell, 2004; Flanagin & Metzger, 2007; Liu, 2004; Metzger, Flanagin, & Zwarun, 2003; Rieh, 2002; Rieh & Hilligoss, 2007).”
- Effects of Online Health Sources on Credibility and Behavioral Intentions (2010, methodology): “For example, using an identical news story, Flanagin and Metzger (2007) found that message credibility varied across Internet site genres.”
- A Little Bird Told Me, So I Didn't Believe It: Twitter, Credibility, and Issue Perceptions (2012, background): “In addition, other research suggests that traditional online news sources sometimes rank higher than other online sources in terms of credibility (Flanagin & Metzger, 2007; Melican & Dixon, 2008).”