{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T15:16:50Z","timestamp":1776093410385,"version":"3.50.1"},"reference-count":187,"publisher":"Association for Computing Machinery (ACM)","issue":"1","license":[{"start":{"date-parts":[[2020,2,6]],"date-time":"2020-02-06T00:00:00Z","timestamp":1580947200000},"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":["ACM Comput. Surv."],"published-print":{"date-parts":[[2021,1,31]]},"abstract":"<jats:p>\n            Automatic elicitation of semantic information from natural language texts is an important research problem with many practical application areas. Especially after the recent proliferation of online content through channels such as social media sites, news portals, and forums; solutions to problems such as sentiment analysis, sarcasm\/controversy\/veracity\/rumour\/fake news detection, and argument mining gained increasing impact and significance, revealed with large volumes of related scientific publications. In this article, we tackle an important problem from the same family and present a survey of\n            <jats:italic>stance detection<\/jats:italic>\n            in social media posts and (online) regular texts. Although stance detection is defined in different ways in different application settings, the most common definition is \u201cautomatic classification of the stance of the producer of a piece of text, towards a target, into one of these three classes: {\n            <jats:italic>Favor<\/jats:italic>\n            ,\n            <jats:italic>Against<\/jats:italic>\n            ,\n            <jats:italic>Neither<\/jats:italic>\n            }.\u201d Our survey includes definitions of related problems and concepts, classifications of the proposed approaches so far, descriptions of the relevant datasets and tools, and related outstanding issues. Stance detection is a recent natural language processing topic with diverse application areas, and our survey article on this newly emerging topic will act as a significant resource for interested researchers and practitioners.\n          <\/jats:p>","DOI":"10.1145\/3369026","type":"journal-article","created":{"date-parts":[[2020,2,6]],"date-time":"2020-02-06T21:54:04Z","timestamp":1581026044000},"page":"1-37","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":215,"title":["Stance Detection"],"prefix":"10.1145","volume":"53","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2656-1300","authenticated-orcid":false,"given":"Dilek","family":"K\u00fc\u00e7\u00fck","sequence":"first","affiliation":[{"name":"T\u00dcB\u0130TAK Energy Institute, Ankara, Turkey"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0016-4278","authenticated-orcid":false,"given":"Fazli","family":"Can","sequence":"additional","affiliation":[{"name":"Bilkent University, Ankara, Turkey"}]}],"member":"320","published-online":{"date-parts":[[2020,2,6]]},"reference":[{"key":"e_1_2_2_1_1","volume-title":"Proceedings of the Language Resources and Evaluation Conference.","author":"Abbott Rob"},{"key":"e_1_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097286.3097288"},{"key":"e_1_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2017.03.022"},{"key":"e_1_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/974740.974742"},{"key":"e_1_2_2_5_1","volume-title":"Proceedings of the 2nd Workshop on Evaluation of Human Language Technologies for Iberian Languages (IberEval","author":"Ambrosini Luca","year":"2017"},{"key":"e_1_2_2_6_1","volume-title":"Proceedings of the 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis. 1--9.","author":"Anand Pranav","year":"2011"},{"key":"e_1_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1084"},{"key":"e_1_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S16-1063"},{"key":"e_1_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-2004"},{"key":"e_1_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/E17-1024"},{"key":"e_1_2_2_11_1","volume-title":"Proceedings of the 2nd Workshop on Evaluation of Human Language Technologies for Iberian Languages (IberEval","author":"Barbieri Francesco","year":"2017"},{"key":"e_1_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W18-6124"},{"key":"e_1_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3184558.3191577"},{"key":"e_1_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-16184-1_1"},{"key":"e_1_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S16-1072"},{"key":"e_1_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10791-008-9070-z"},{"key":"e_1_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3139240"},{"key":"e_1_2_2_18_1","volume-title":"Proceedings of the Conference on Empirical Methods in Natural Language Processing. 45--55","author":"Boyd-Graber Jordan","year":"2010"},{"key":"e_1_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1093\/acprof:oso\/9780195166194.003.0010"},{"key":"e_1_2_2_20_1","volume-title":"Proceedings of the ACM International Conference on Information and Knowledge Management. 1063--1072","author":"B\u00fcy\u00fck\u00e7akir Alican","year":"2018"},{"key":"e_1_2_2_21_1","volume-title":"Multilingual sentiment analysis: An RNN-based framework for limited data. arXiv preprint arXiv:1806.04511","author":"Can Ethem F","year":"2018"},{"key":"e_1_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2016.07.015"},{"key":"e_1_2_2_23_1","unstructured":"Fran\u00e7ois Chollet. 2015. 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