{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T22:57:12Z","timestamp":1777762632855,"version":"3.51.4"},"reference-count":92,"publisher":"Emerald","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2007,10,6]]},"abstract":"<jats:p>As more of our communication, commerce, and personal data goes online, credibility becomes an increasingly important issue. How do we determine if our e-commerce sites, our healthcare sites, or our online communication partners are credible? This paper examines the research literature in the area of web credibility. This review starts by examining the cognitive foundations of credibility. Other sections of the paper examine not only the general credibility of web sites, but also online communication, such as e-mail, instant messaging, and online communities. Training and education, as well as future issues (such as CAPTCHAs and phishing), will be addressed. The implications for multiple populations (users, web developers, browser designers, and librarians) will be discussed.<\/jats:p>","DOI":"10.1561\/1100000007","type":"journal-article","created":{"date-parts":[[2007,10,21]],"date-time":"2007-10-21T13:42:36Z","timestamp":1192974156000},"page":"139-202","source":"Crossref","is-referenced-by-count":20,"title":["Understanding Web Credibility: A Synthesis of the Research Literature"],"prefix":"10.1108","volume":"1","author":[{"given":"Jonathan","family":"Lazar","sequence":"first","affiliation":[{"name":"Towson University Department of Computer and Information Sciences, Universal Usability Laboratory, , Towson MD 21252","place":["USA"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gabriele","family":"Meiselwitz","sequence":"additional","affiliation":[{"name":"Towson University Department of Computer and Information Sciences, Universal Usability Laboratory, , MD 21252","place":["USA"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinjuan","family":"Feng","sequence":"additional","affiliation":[{"name":"Towson University Department of Computer and Information Sciences, Universal Usability Laboratory, , Towson MD 21252","place":["USA"]}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","published-online":{"date-parts":[[2007,10,6]]},"reference":[{"key":"2026040213364351700_ref001","volume-title":"Security and Usability","author":"Ackerman","year":"2005"},{"issue":"2","key":"2026040213364351700_ref002","first-page":"57","article-title":"Telling humans and computers apart automatically","volume":"47","author":"Ahn","year":"2004","journal-title":"Communications of the ACM"},{"key":"2026040213364351700_ref003","unstructured":"Anti-Phishing Working Group\n          , 2005. 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