{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,6]],"date-time":"2026-01-06T13:41:01Z","timestamp":1767706861120,"version":"3.41.2"},"reference-count":43,"publisher":"Emerald","issue":"4","license":[{"start":{"date-parts":[[2014,11,11]],"date-time":"2014-11-11T00:00:00Z","timestamp":1415664000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014,11,11]]},"abstract":"\n Purpose<\/jats:title>\n \u2013 The purpose of this article was to confirm whether users\u2019 interests are reflected by tweeted Web pages, and to evaluate the credibility of interest reflection of tweeted Web pages. <\/jats:p>\n <\/jats:sec>\n \n Design\/methodology\/approach<\/jats:title>\n \u2013 Interest reflection of Twitter is investigated based on the context of sharing behavior. A context-oriented approach is proposed to evaluate the interest reflection of tweeted Web pages based on machine learning. Some different distribution models of similarity are present, and infer whether tweeted Web pages reflect respective users\u2019 interests by analyzing user access profiles. <\/jats:p>\n <\/jats:sec>\n \n Findings<\/jats:title>\n \u2013 The analysis of browsing behaviors finds that many users partially hide their own concerns, hobbies and interests, and emphasize the concerns about social phenomenon. The extensive experimental results showed the context-oriented approach is effective on real net view data. <\/jats:p>\n <\/jats:sec>\n \n Originality\/value<\/jats:title>\n \u2013 As the first-of-its-kind study on evaluating the credibility of interest reflection on Twitter, extensive experiments have been conducted on the data sets containing real net view data. For higher accuracy and less subjectivity, various features are generated from user\u2019s Web view and Twitter submission background with some different context factors.<\/jats:p>\n <\/jats:sec>","DOI":"10.1108\/ijwis-04-2014-0019","type":"journal-article","created":{"date-parts":[[2014,11,16]],"date-time":"2014-11-16T13:19:46Z","timestamp":1416143986000},"page":"343-362","source":"Crossref","is-referenced-by-count":11,"title":["Evaluating credibility of interest reflection on Twitter"],"prefix":"10.1108","volume":"10","author":[{"given":"Hao","family":"Han","sequence":"first","affiliation":[]},{"given":"Hidekazu","family":"Nakawatase","sequence":"first","affiliation":[]},{"given":"Keizo","family":"Oyama","sequence":"first","affiliation":[]}],"member":"140","reference":[{"key":"key2020122723084863900_b10","doi-asserted-by":"crossref","unstructured":"Abel, F.\n , \n Gao, Q.\n , \n Houben, G.-J.\n and \n Tao, K.\n (2011), \u201cAnalyzing user modeling on Twitter for personalized news 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