{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T00:29:16Z","timestamp":1777854556779,"version":"3.51.4"},"reference-count":34,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[2016,6,1]],"date-time":"2016-06-01T00:00:00Z","timestamp":1464739200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Information Science"],"published-print":{"date-parts":[[2017,8]]},"abstract":"<jats:p>It is important to obtain public opinion about a news article. Microblogs such as Twitter are popular and an important medium for people to share ideas. An important portion of tweets are related to news or events. Our aim is to find tweets about newspaper reports and measure the popularity of these reports on Twitter. However, it is a challenging task to match informal and very short tweets with formal news reports. In this study, we formulate this problem as a supervised classification task. We propose to form a training set using tweets containing a link to the news and the content of the same news article. We preprocess tweets by removing unnecessary words and symbols and apply stemming by means of morphological analysers. We apply binary classifiers and anomaly detection to this task. We also propose a textual similarity-based approach. We observed that preprocessing of tweets increases accuracy. The textual similarity method obtains results with the highest recognition rate. Success increases in some cases when report text is used with tweets containing a link to the news report within the training set of classification studies. We propose that this study, which is made directly in consideration of tweet texts that measure the trends of national newspaper reports on social media, has a higher significance when compared to Twitter analyses made by using a hashtag. Given the limited number of scientific studies on Turkish tweets, this study makes a contribution to the literature.<\/jats:p>","DOI":"10.1177\/0165551516653082","type":"journal-article","created":{"date-parts":[[2016,6,17]],"date-time":"2016-06-17T21:14:02Z","timestamp":1466198042000},"page":"509-524","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":17,"title":["Classification of news-related tweets"],"prefix":"10.1177","volume":"43","author":[{"given":"Orhan","family":"Demirsoz","sequence":"first","affiliation":[{"name":"Turgut Ozal University, Turkey"}]},{"given":"Rifat","family":"Ozcan","sequence":"additional","affiliation":[{"name":"Turgut Ozal University, Turkey"}]}],"member":"179","published-online":{"date-parts":[[2016,6,1]]},"reference":[{"key":"bibr1-0165551516653082","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-7091-0294-7_18"},{"key":"bibr2-0165551516653082","unstructured":"Cheong M, Ray S. A Literature Review of Recent Microblogging Developments. Technical Report, Clayton School of Information Technology. Monash University, 2011."},{"key":"bibr3-0165551516653082","volume-title":"The Twentieth Text Retrieval Conference Proceedings","author":"Lim D","year":"2011"},{"key":"bibr4-0165551516653082","doi-asserted-by":"publisher","DOI":"10.1145\/1772690.1772751"},{"key":"bibr5-0165551516653082","doi-asserted-by":"publisher","DOI":"10.1145\/1963405.1963500"},{"key":"bibr6-0165551516653082","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2012.01.136"},{"key":"bibr7-0165551516653082","doi-asserted-by":"publisher","DOI":"10.1177\/0165551514541614"},{"key":"bibr8-0165551516653082","doi-asserted-by":"publisher","DOI":"10.1177\/0165551514561652"},{"key":"bibr9-0165551516653082","doi-asserted-by":"publisher","DOI":"10.1109\/ICCSE.2013.6553926"},{"key":"bibr10-0165551516653082","doi-asserted-by":"publisher","DOI":"10.4304\/jetwi.3.1.11-19"},{"key":"bibr11-0165551516653082","doi-asserted-by":"publisher","DOI":"10.1002\/asi.21512"},{"key":"bibr12-0165551516653082","doi-asserted-by":"publisher","DOI":"10.1145\/2484028.2484080"},{"key":"bibr13-0165551516653082","doi-asserted-by":"publisher","DOI":"10.1109\/WI-IAT.2010.205"},{"key":"bibr14-0165551516653082","doi-asserted-by":"publisher","DOI":"10.1177\/0165551514566564"},{"key":"bibr15-0165551516653082","doi-asserted-by":"publisher","DOI":"10.1109\/INISTA.2013.6577649"},{"key":"bibr16-0165551516653082","first-page":"1","author":"\u015eimsek MU","year":"2012","journal-title":"Application of Information and Communication Technologies (AICT)"},{"key":"bibr17-0165551516653082","doi-asserted-by":"publisher","DOI":"10.1109\/SIU.2013.6531205"},{"key":"bibr18-0165551516653082","doi-asserted-by":"publisher","DOI":"10.1109\/SIU.2013.6531173"},{"key":"bibr19-0165551516653082","doi-asserted-by":"publisher","DOI":"10.1109\/SIU.2013.6531178"},{"key":"bibr20-0165551516653082","first-page":"20","author":"Ozdikis O","year":"2012","journal-title":"Advances in Social Networks Analysis and Mining (ASONAM)"},{"key":"bibr21-0165551516653082","first-page":"450","volume-title":"Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC)","author":"K\u00fc\u00e7\u00fck D","year":"2014"},{"key":"bibr22-0165551516653082","first-page":"26","volume-title":"Proceedings of the Sixth International AAAI Conference on Weblogs and Social Media","author":"Bandari R","year":"2012"},{"key":"bibr23-0165551516653082","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijinfomgt.2015.07.003"},{"key":"bibr24-0165551516653082","first-page":"239","volume-title":"The 51st Annual Meeting of the Association for Computational Linguistics (ACL)","author":"Guo W","year":"2013"},{"key":"bibr25-0165551516653082","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-21064-8_26"},{"key":"bibr26-0165551516653082","doi-asserted-by":"publisher","DOI":"10.1145\/505282.505283"},{"key":"bibr27-0165551516653082","doi-asserted-by":"crossref","unstructured":"Aggarwal CC, Zhai C. A survey of text classification algorithms, in Mining Text Data. New York, NY, SA: Springer, 2012.","DOI":"10.1007\/978-1-4614-3223-4"},{"key":"bibr28-0165551516653082","doi-asserted-by":"publisher","DOI":"10.1145\/345508.345550"},{"key":"bibr29-0165551516653082","unstructured":"Mitchell TM. Machine Learning. McGraw-Hill, International editions, 1997."},{"key":"bibr30-0165551516653082","doi-asserted-by":"publisher","DOI":"10.1007\/BF00994018"},{"key":"bibr31-0165551516653082","first-page":"128","volume-title":"Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR \u201901)","author":"Joachims T"},{"key":"bibr32-0165551516653082","doi-asserted-by":"publisher","DOI":"10.1145\/1541880.1541882"},{"key":"bibr33-0165551516653082","doi-asserted-by":"publisher","DOI":"10.1109\/SIU.2014.6830323"},{"key":"bibr34-0165551516653082","doi-asserted-by":"publisher","DOI":"10.1145\/1656274.1656278"}],"container-title":["Journal of Information Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/0165551516653082","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.1177\/0165551516653082","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/0165551516653082","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T23:09:27Z","timestamp":1777504167000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1177\/0165551516653082"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,6,1]]},"references-count":34,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2017,8]]}},"alternative-id":["10.1177\/0165551516653082"],"URL":"https:\/\/doi.org\/10.1177\/0165551516653082","relation":{},"ISSN":["0165-5515","1741-6485"],"issn-type":[{"value":"0165-5515","type":"print"},{"value":"1741-6485","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,6,1]]}}}