{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,14]],"date-time":"2026-02-14T13:19:47Z","timestamp":1771075187374,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":30,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,11,8]],"date-time":"2021-11-08T00:00:00Z","timestamp":1636329600000},"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":[],"published-print":{"date-parts":[[2021,11,8]]},"DOI":"10.1145\/3487351.3490966","type":"proceedings-article","created":{"date-parts":[[2022,1,19]],"date-time":"2022-01-19T20:40:12Z","timestamp":1642624812000},"page":"361-368","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["SentiStance"],"prefix":"10.1145","author":[{"given":"Jakapun","family":"Tachaiya","sequence":"first","affiliation":[{"name":"UC"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arman","family":"Irani","sequence":"additional","affiliation":[{"name":"UC"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kevin M.","family":"Esterling","sequence":"additional","affiliation":[{"name":"UC"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michalis","family":"Faloutsos","sequence":"additional","affiliation":[{"name":"UC"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,1,19]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"The Automaticity of Affect for Political Leaders, Groups, and Issues: An Experimental Test of the Hot Cognition Hypothesis,\" Political Psychology","author":"Lodge M.","year":"2005","unstructured":"M. Lodge and C. Tabor , \" The Automaticity of Affect for Political Leaders, Groups, and Issues: An Experimental Test of the Hot Cognition Hypothesis,\" Political Psychology , vol. 26 , 2005 . M. Lodge and C. Tabor, \"The Automaticity of Affect for Political Leaders, Groups, and Issues: An Experimental Test of the Hot Cognition Hypothesis,\" Political Psychology, vol. 26, 2005."},{"key":"e_1_3_2_1_2_1","volume-title":"Parsimony and Complexity: Developing and Testing Theories of Affective Intelligence,\" Political Psychology","author":"Marcus G. E.","year":"2011","unstructured":"G. E. Marcus , M. MacKuen , and W. R. Neuman , \" Parsimony and Complexity: Developing and Testing Theories of Affective Intelligence,\" Political Psychology , vol. 32 , 2011 . G. E. Marcus, M. MacKuen, and W. R. Neuman, \"Parsimony and Complexity: Developing and Testing Theories of Affective Intelligence,\" Political Psychology, vol. 32, 2011."},{"issue":"2","key":"e_1_3_2_1_3_1","first-page":"2005","article-title":"Striking a Responsive Chord: How Political Ads Motivate and Persuade Voters by Appealing to Emotions","volume":"49","author":"Brader T.","unstructured":"T. Brader , \" Striking a Responsive Chord: How Political Ads Motivate and Persuade Voters by Appealing to Emotions ,\" American Journal of Political Science , vol. 49 , no. 2 , apr 2005 . T. Brader, \"Striking a Responsive Chord: How Political Ads Motivate and Persuade Voters by Appealing to Emotions,\" American Journal of Political Science, vol. 49, no. 2, apr 2005.","journal-title":"American Journal of Political Science"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1540-5907.2005.00161.x"},{"key":"e_1_3_2_1_5_1","first-page":"01","article-title":"The partisan sort: How liberals became democrats and conservatives became republicans","author":"Levendusky M.","year":"2009","unstructured":"M. Levendusky , \" The partisan sort: How liberals became democrats and conservatives became republicans ,\" Bibliovault OAI Repository , 01 2009 . M. Levendusky, \"The partisan sort: How liberals became democrats and conservatives became republicans,\" Bibliovault OAI Repository, 01 2009.","journal-title":"Bibliovault OAI Repository"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.5964\/jspp.v5i1.750"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1418188112"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3342220.3343662"},{"key":"e_1_3_2_1_9_1","first-page":"2020","article-title":"Raiders of the lost kek: 3.5 years of augmented 4chan posts from the politically incorrect board","author":"Papasavva A.","year":"2020","unstructured":"A. Papasavva , S. Zannettou , E. D. Cristofaro , G. Stringhini , and J. Blackburn , \" Raiders of the lost kek: 3.5 years of augmented 4chan posts from the politically incorrect board ,\" ICWSM 2020 , 2020 . A. Papasavva, S. Zannettou, E. D. Cristofaro, G. Stringhini, and J. Blackburn, \"Raiders of the lost kek: 3.5 years of augmented 4chan posts from the politically incorrect board,\" ICWSM 2020, 2020.","journal-title":"ICWSM"},{"key":"e_1_3_2_1_10_1","first-page":"2021","article-title":"An early look at the parler online social network","author":"Aliapoulios M.","year":"2021","unstructured":"M. Aliapoulios , E. Bevensee , J. Blackburn , B. Bradlyn , E. D. Cristofaro , G. Stringhini , and S. Zannettou , \" An early look at the parler online social network ,\" ICWSM 2021 , 2021 . M. Aliapoulios, E. Bevensee, J. Blackburn, B. Bradlyn, E. D. Cristofaro, G. Stringhini, and S. Zannettou, \"An early look at the parler online social network,\" ICWSM 2021, 2021.","journal-title":"ICWSM"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2021.102597"},{"issue":"3","key":"e_1_3_2_1_12_1","article-title":"Stance and sentiment in tweets","volume":"17","author":"Mohammad S. M.","year":"2017","unstructured":"S. M. Mohammad , P. Sobhani , and S. Kiritchenko , \" Stance and sentiment in tweets ,\" ACM Transaction , vol. 17 , no. 3 , 2017 . S. M. Mohammad, P. Sobhani, and S. Kiritchenko, \"Stance and sentiment in tweets,\" ACM Transaction, vol. 17, no. 3, 2017.","journal-title":"ACM Transaction"},{"key":"e_1_3_2_1_13_1","first-page":"2016","article-title":"A joint sentiment-target-stance model for stance classification in tweets","author":"Ebrahimi J.","year":"2016","unstructured":"J. Ebrahimi , D. Dou , and D. Lowd , \" A joint sentiment-target-stance model for stance classification in tweets ,\" in Conf. on Computational Linguistics 2016 , 2016 . J. Ebrahimi, D. Dou, and D. Lowd, \"A joint sentiment-target-stance model for stance classification in tweets,\" in Conf. on Computational Linguistics 2016, 2016.","journal-title":"Conf. on Computational Linguistics"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2020.10.003"},{"key":"e_1_3_2_1_15_1","first-page":"2019","article-title":"Assessing sentiment of the expressed stance on social media","author":"AlDayel A.","year":"2019","unstructured":"A. AlDayel and W. Magdy , \" Assessing sentiment of the expressed stance on social media ,\" Socinfo 2019 , 2019 . A. AlDayel and W. Magdy, \"Assessing sentiment of the expressed stance on social media,\" Socinfo 2019, 2019.","journal-title":"Socinfo"},{"key":"e_1_3_2_1_16_1","volume-title":"A dataset for multi-target stance detection,\" in European","author":"Sobhani P.","year":"2017","unstructured":"P. Sobhani , D. Inkpen , and X. Zhu , \" A dataset for multi-target stance detection,\" in European Chapter of ACL: Volume 2, Apr. 2017 . P. Sobhani, D. Inkpen, and X. Zhu, \"A dataset for multi-target stance detection,\" in European Chapter of ACL: Volume 2, Apr. 2017."},{"key":"e_1_3_2_1_17_1","first-page":"2020","article-title":"REST: A thread embedding approach for identifying and classifying user-specified information in security forums","author":"Gharibshah J.","year":"2020","unstructured":"J. Gharibshah , E. E. Papalexakis , and M. Faloutsos , \" REST: A thread embedding approach for identifying and classifying user-specified information in security forums ,\" ICWSM 2020 , 2020 . J. Gharibshah, E. E. Papalexakis, and M. Faloutsos, \"REST: A thread embedding approach for identifying and classifying user-specified information in security forums,\" ICWSM 2020, 2020.","journal-title":"ICWSM"},{"key":"e_1_3_2_1_18_1","first-page":"703","volume-title":"RAFFMAN: measuring and analyzing sentiment in online political forum discussions with an application to the trump impeachment","author":"Tachaiya J.","year":"2021","unstructured":"J. Tachaiya , J. Gharibshah , K. E. Esterling , and M. Faloutsos , \" RAFFMAN: measuring and analyzing sentiment in online political forum discussions with an application to the trump impeachment ,\" pp. 703 -- 713 , 2021 . J. Tachaiya, J. Gharibshah, K. E. Esterling, and M. Faloutsos, \"RAFFMAN: measuring and analyzing sentiment in online political forum discussions with an application to the trump impeachment,\" pp. 703--713, 2021."},{"key":"e_1_3_2_1_19_1","volume-title":"BERT: pre-training of deep bidirectional transformers for language understanding,\" NAACL","author":"Devlin J.","year":"2018","unstructured":"J. Devlin , M. Chang , K. Lee , and K. Toutanova , \" BERT: pre-training of deep bidirectional transformers for language understanding,\" NAACL 2018 , vol. abs\/ 1810 .04805, 2018. J. Devlin, M. Chang, K. Lee, and K. Toutanova, \"BERT: pre-training of deep bidirectional transformers for language understanding,\" NAACL 2018, vol. abs\/1810.04805, 2018."},{"key":"e_1_3_2_1_20_1","volume-title":"Utilizing BERT for aspect-based sentiment analysis via constructing auxiliary sentence,\" NAACL","author":"Sun C.","year":"2019","unstructured":"C. Sun , L. Huang , and X. Qiu , \" Utilizing BERT for aspect-based sentiment analysis via constructing auxiliary sentence,\" NAACL 2019 , vol. abs\/ 1903 .09588, 2019. C. Sun, L. Huang, and X. Qiu, \"Utilizing BERT for aspect-based sentiment analysis via constructing auxiliary sentence,\" NAACL 2019, vol. abs\/1903.09588, 2019."},{"key":"e_1_3_2_1_21_1","volume-title":"Bert post-training for review reading comprehension and aspect-based sentiment analysis,\" in Asso. for Com. Linguistics","author":"Xu H.","year":"2019","unstructured":"H. Xu , B. Liu , L. Shu , and P. S. Yu , \" Bert post-training for review reading comprehension and aspect-based sentiment analysis,\" in Asso. for Com. Linguistics 2019 , jun 2019. H. Xu, B. Liu, L. Shu, and P. S. Yu, \"Bert post-training for review reading comprehension and aspect-based sentiment analysis,\" in Asso. for Com. Linguistics 2019, jun 2019."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3369026"},{"key":"e_1_3_2_1_23_1","volume-title":"Stance detection benchmark: How robust is your stance detection?\" K\u00fcnstl Intell","author":"Schiller B.","year":"2021","unstructured":"B. Schiller , J. Daxenberger , and I. Gurevych , \" Stance detection benchmark: How robust is your stance detection?\" K\u00fcnstl Intell ( 2021 ), 2020. B. Schiller, J. Daxenberger, and I. Gurevych, \"Stance detection benchmark: How robust is your stance detection?\" K\u00fcnstl Intell (2021), 2020."},{"key":"e_1_3_2_1_24_1","unstructured":"A. Prakash and H. Tayyar Madabushi \"Incorporating count-based features into pre-trained models for improved stance detection \" in 3rd NLP4IF Workshop Dec. 2020.  A. Prakash and H. Tayyar Madabushi \"Incorporating count-based features into pre-trained models for improved stance detection \" in 3rd NLP4IF Workshop Dec. 2020."},{"key":"e_1_3_2_1_25_1","volume-title":"Prabhu et al., \"Capitol (pat)riots: A comparative study of twitter and parler","author":"A.","year":"2021","unstructured":"Hitkul, A. Prabhu et al., \"Capitol (pat)riots: A comparative study of twitter and parler ,\" 2021 . Hitkul, A. Prabhu et al., \"Capitol (pat)riots: A comparative study of twitter and parler,\" 2021."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394231.3397904"},{"key":"e_1_3_2_1_27_1","article-title":"Political partisanship and anti-science attitudes in online discussions about covid-19","author":"Rao A.","year":"2020","unstructured":"A. Rao , F. Morstatter ., \" Political partisanship and anti-science attitudes in online discussions about covid-19 ,\" Journal of Medical Internet Research , 2020 . A. Rao, F. Morstatter et al., \"Political partisanship and anti-science attitudes in online discussions about covid-19,\" Journal of Medical Internet Research, 2020.","journal-title":"Journal of Medical Internet Research"},{"key":"e_1_3_2_1_28_1","volume-title":"go eat a bat, chang!\": An early look on the emergence of sinophobic behavior on web communities in the face of COVID-19,\" WWW'21","author":"Schild L.","year":"2021","unstructured":"L. Schild , C. Ling , J. Blackburn , G. Stringhini , Y. Zhang , and S. Zannettou , \"\" go eat a bat, chang!\": An early look on the emergence of sinophobic behavior on web communities in the face of COVID-19,\" WWW'21 , 2021 . L. Schild, C. Ling, J. Blackburn, G. Stringhini, Y. Zhang, and S. Zannettou, \"\"go eat a bat, chang!\": An early look on the emergence of sinophobic behavior on web communities in the face of COVID-19,\" WWW'21, 2021."},{"key":"e_1_3_2_1_29_1","volume-title":"Linguistics 2016","author":"Sobhani P.","year":"2016","unstructured":"P. Sobhani , S. Mohammad , and S. Kiritchenko , \" Detecting stance in tweets and analyzing its interaction with sentiment.\" Asso. for Com . Linguistics 2016 , Aug. 2016 . P. Sobhani, S. Mohammad, and S. Kiritchenko, \"Detecting stance in tweets and analyzing its interaction with sentiment.\" Asso. for Com. Linguistics 2016, Aug. 2016."},{"key":"e_1_3_2_1_30_1","first-page":"2017","article-title":"Annotation, modelling and analysis of fine-grained emotions on a stance and sentiment detection corpus","author":"Schuff H.","year":"2017","unstructured":"H. Schuff , J. Barnes , J. Mohme , S. Pad\u00f3 , and R. Klinger , \" Annotation, modelling and analysis of fine-grained emotions on a stance and sentiment detection corpus .\" Asso. for Com. Linguistics 2017 , 2017 . H. Schuff, J. Barnes, J. Mohme, S. Pad\u00f3, and R. Klinger, \"Annotation, modelling and analysis of fine-grained emotions on a stance and sentiment detection corpus.\" Asso. for Com. Linguistics 2017, 2017.","journal-title":"Asso. for Com. Linguistics"}],"event":{"name":"ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining","location":"Virtual Event Netherlands","acronym":"ASONAM '21","sponsor":["SIGKDD ACM Special Interest Group on Knowledge Discovery in Data","IEEE CS"]},"container-title":["Proceedings of the 2021 IEEE\/ACM International Conference on Advances in Social Networks Analysis and Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3487351.3490966","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3487351.3490966","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:30:49Z","timestamp":1750188649000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3487351.3490966"}},"subtitle":["quantifying the intertwined changes of sentiment and stance in response to an event in online forums"],"short-title":[],"issued":{"date-parts":[[2021,11,8]]},"references-count":30,"alternative-id":["10.1145\/3487351.3490966","10.1145\/3487351"],"URL":"https:\/\/doi.org\/10.1145\/3487351.3490966","relation":{},"subject":[],"published":{"date-parts":[[2021,11,8]]},"assertion":[{"value":"2022-01-19","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}