{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T16:57:53Z","timestamp":1781110673719,"version":"3.54.1"},"reference-count":0,"publisher":"IGI Global Scientific Publishing","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,4,1]]},"abstract":"<p>When the Great East Japan Earthquake occurred, Twitter was used as an infrastructure for sharing information carried by other media. In other words, Twitter is considered as a \u201cmeta medium.\u201d Earthquake-related tweets included information that was of questionable veracity, contained vicious rumors, and propagated matters of controversy that often gave rise to various discussions and arguments. In this research, the authors analyzed 89,351,242 tweets posted from December 11, 2010 to April 16, 2012. They then extracted 9,816,625 URLs and classified the top 100 domains of these URLs into 19 media categories. The emotional reactions of Twitter users were investigated by counting the terms conveying positive and negative emotions included in the body of tweets along with the media URLs. The authors' findings revealed differences in terms of the frequency with which terms expressing emotions were evoked and differences in the patterns of their surges, across the various media. The authors also considered the usage of various terms appearing in tweets concurrently with the terms expressing emotion.<\/p>","DOI":"10.4018\/ijksr.2016040104","type":"journal-article","created":{"date-parts":[[2016,8,24]],"date-time":"2016-08-24T11:33:53Z","timestamp":1472038433000},"page":"57-71","source":"Crossref","is-referenced-by-count":3,"title":["Media Mediate Sentiments"],"prefix":"10.4018","volume":"7","author":[{"given":"Naohiro","family":"Matsumura","sequence":"first","affiliation":[{"name":"Osaka University, Toyonaka, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Asako","family":"Miura","sequence":"additional","affiliation":[{"name":"Kwansei Gakuin University, Nishinomiya, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Masashi","family":"Komori","sequence":"additional","affiliation":[{"name":"Osaka Electro-Communication University, Neyagawa, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kai","family":"Hiraishi","sequence":"additional","affiliation":[{"name":"Keio University, Minatoku, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","container-title":["International Journal of Knowledge Society Research"],"original-title":[],"language":"ng","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=163916","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T19:19:50Z","timestamp":1654111190000},"score":1,"resource":{"primary":{"URL":"https:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/IJKSR.2016040104"}},"subtitle":["Exploratory Analysis of Tweets Posted Before, During, and After the Great East Japan Earthquake"],"short-title":[],"issued":{"date-parts":[[2016,4,1]]},"references-count":0,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2016,4]]}},"URL":"https:\/\/doi.org\/10.4018\/ijksr.2016040104","relation":{},"ISSN":["1947-8429","1947-8437"],"issn-type":[{"value":"1947-8429","type":"print"},{"value":"1947-8437","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,4,1]]}}}