{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,20]],"date-time":"2025-12-20T22:11:27Z","timestamp":1766268687340,"version":"3.41.2"},"reference-count":39,"publisher":"Emerald","issue":"7","license":[{"start":{"date-parts":[[2016,11,14]],"date-time":"2016-11-14T00:00:00Z","timestamp":1479081600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["OIR"],"published-print":{"date-parts":[[2016,11,14]]},"abstract":"<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title>\n<jats:p>Twitter as a social tool allows people to express their views, emotions or communicate information within brevity of 140 character limit. It has provided an opportunity to researchers to tab users\u2019 expressions on social or political issues, be it natural calamity, elections and alike. The purpose of this paper is to assess how people explored Twitter to express their views regarding state assembly elections of Jammu and Kashmir (India).<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title>\n<jats:p>The authors performed content analysis of 4,537 tweets that were posted by 1,420 different Twitter users over a period of 78 days (October 30, 2014 through January 15, 2015).<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Findings<\/jats:title>\n<jats:p>Users were found to be active on the days of polling while post-polling period witnessed a huge influx in particular on the day of voting and declaration of results. Nearly 94 percent users have posted around 50 percent of tweets and there were only 81 handles which posted remaining 50 percent tweets. In additions to people, news agencies, anonymous groups and social\/political groups have expressed their views on this event. Nearly one-fourth tweets were retweeted and one-fourth tweets were marked favorite. Users have mostly providing news updates or personnel commentaries about the election process.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title>\n<jats:p>The study is first of its kind using Twitter to represent the sentiments of people during floods.<\/jats:p>\n<\/jats:sec>","DOI":"10.1108\/oir-10-2015-0330","type":"journal-article","created":{"date-parts":[[2016,11,4]],"date-time":"2016-11-04T04:19:01Z","timestamp":1478233141000},"page":"900-912","source":"Crossref","is-referenced-by-count":14,"title":["Tweets speak louder than leaders and masses"],"prefix":"10.1108","volume":"40","author":[{"given":"Sumeer","family":"Gul","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Iram","family":"Mahajan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nahida Tun","family":"Nisa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tariq Ahmad","family":"Shah","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jan","family":"Asifa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Suhail","family":"Ahmad","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","reference":[{"article-title":"David Cameron on Twitter","year":"2009","author":"Absolute Radio","key":"key2020121102194523300_ref201"},{"issue":"4","key":"key2020121102194523300_ref001","doi-asserted-by":"publisher","first-page":"1071","DOI":"10.1016\/j.tele.2016.03.002","article-title":"The 2014 Indian elections on Twitter: a comparison of campaign strategies of political parties","volume":"33","year":"2016","journal-title":"Telematics and Informatics"},{"key":"key2020121102194523300_ref002","unstructured":"Bakliwal, A., Foster, J., Puil, J.O., Brien, R., Tounsi, L. and Hughes, M. (2013), \u201cSentiment analysis of political tweets: towards an accurate classifier\u201d, Workshop on Language in Social Media, Association for Computational Linguistics, Atlanta, GA, pp. 49-58."},{"issue":"5","key":"key2020121102194523300_ref003","doi-asserted-by":"publisher","first-page":"625","DOI":"10.1177\/0894439313490405","article-title":"Who tweets about politics? 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