{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T11:03:13Z","timestamp":1773486193234,"version":"3.50.1"},"reference-count":33,"publisher":"Association for Computing Machinery (ACM)","issue":"Autumn","license":[{"start":{"date-parts":[[2020,11,24]],"date-time":"2020-11-24T00:00:00Z","timestamp":1606176000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["SIGWEB Newsl."],"published-print":{"date-parts":[[2020,11,24]]},"abstract":"<jats:p>\n            Social media platforms like Twitter, Gab, Facebook are available in the market to billions\n            <jats:sup>1<\/jats:sup>\n            of users. These platforms allow users to share their ideas and opinions instantly almost with no cost. These have already been utilized by bad actors in the society to cause damage. Scenarios like the Rohingya genocide in Myanmar, anti-Muslim mob violence in Sri Lanka, and the Pittsburgh synagogue shooting can be linked to these platforms. Recently, hate speech is considered to be one of the major issues poisoning the online social media environment. To keep these platforms healthy there is a need to understand how these hateful content spread, how hateful users behave and finally, what could be an effective way to mitigate hate speech. In this article, we look at the recent advances and issues surrounding hate speech in online social media. We take three different perspectives -\n            <jats:italic>analysis &amp; spread, detection<\/jats:italic>\n            , and\n            <jats:italic>mitigation.<\/jats:italic>\n          <\/jats:p>","DOI":"10.1145\/3427478.3427482","type":"journal-article","created":{"date-parts":[[2020,11,26]],"date-time":"2020-11-26T19:56:25Z","timestamp":1606420585000},"page":"1-8","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":15,"title":["Hate speech in online social media"],"prefix":"10.1145","volume":"2020","author":[{"given":"Mithun","family":"Das","sequence":"first","affiliation":[{"name":"Indian Institute of Technology Kharagpur, West Bengal, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Binny","family":"Mathew","sequence":"additional","affiliation":[{"name":"Indian Institute of Technology Kharagpur, West Bengal, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Punyajoy","family":"Saha","sequence":"additional","affiliation":[{"name":"Indian Institute of Technology Kharagpur, West Bengal, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pawan","family":"Goyal","sequence":"additional","affiliation":[{"name":"Indian Institute of Technology Kharagpur, West Bengal, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Animesh","family":"Mukherjee","sequence":"additional","affiliation":[{"name":"Indian Institute of Technology Kharagpur, West Bengal, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2020,11,25]]},"reference":[{"key":"e_1_2_1_1_1","volume-title":"Joint European Conference on Machine Learning and Knowledge Discovery in Databases. 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Arango, A., P\u00e9rez, J., and Poblete, B. 2019. Hate speech detection is not as easy as you may think: A closer look at model validation. In Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval. 45--54."},{"key":"e_1_2_1_3_1","unstructured":"Bartlett J. and Krasodomski-Jones A. 2015. Counter-speech examining content that challenges extremism online. Demos. Available at: http:\/\/www.demos.co.uk\/wp-content\/uploads\/2015\/10\/Counter-speech.pdf.  Bartlett J. and Krasodomski-Jones A. 2015. Counter-speech examining content that challenges extremism online. Demos. Available at: http:\/\/www.demos.co.uk\/wp-content\/uploads\/2015\/10\/Counter-speech.pdf."},{"key":"e_1_2_1_4_1","volume-title":"Proceedings of the 13th International Workshop on Semantic Evaluation. 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