{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:46:42Z","timestamp":1750308402641,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":41,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,7,13]],"date-time":"2020-07-13T00:00:00Z","timestamp":1594598400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Defense Advanced Research Project Agency","award":["FA8650-18-C-7823"],"award-info":[{"award-number":["FA8650-18-C-7823"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,7,13]]},"DOI":"10.1145\/3372923.3404790","type":"proceedings-article","created":{"date-parts":[[2020,7,9]],"date-time":"2020-07-09T15:51:46Z","timestamp":1594309906000},"page":"281-290","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":11,"title":["Probabilistic Model of Narratives Over Topical Trends in Social Media"],"prefix":"10.1145","author":[{"given":"Toktam A.","family":"Oghaz","sequence":"first","affiliation":[{"name":"University of Central Florida, Orlando, FL, USA"}]},{"given":"Ece \u00c7i\u011fdem","family":"Mutlu","sequence":"additional","affiliation":[{"name":"University of Central Florida, Orlando, FL, USA"}]},{"given":"Jasser","family":"Jasser","sequence":"additional","affiliation":[{"name":"University of Central Florida, Orlando, FL, USA"}]},{"given":"Niloofar","family":"Yousefi","sequence":"additional","affiliation":[{"name":"University of Central Florida, Orlando, FL, USA"}]},{"given":"Ivan","family":"Garibay","sequence":"additional","affiliation":[{"name":"University of Central Florida, Orlando, FL, USA"}]}],"member":"320","published-online":{"date-parts":[[2020,7,13]]},"reference":[{"key":"e_1_3_2_1_1_1","article-title":"A survey of topic modeling in text mining","volume":"6","author":"Alghamdi Rubayyi","year":"2015","unstructured":"Rubayyi Alghamdi and Khalid Alfalqi . 2015 . A survey of topic modeling in text mining . Int. J. Adv. Comput. Sci. Appl.(IJACSA) , Vol. 6 , 1 (2015). Rubayyi Alghamdi and Khalid Alfalqi. 2015. A survey of topic modeling in text mining. Int. J. Adv. Comput. Sci. Appl.(IJACSA), Vol. 6, 1 (2015).","journal-title":"Int. J. Adv. Comput. Sci. Appl.(IJACSA)"},{"key":"e_1_3_2_1_2_1","volume-title":"Text summarization techniques: a brief survey. arXiv preprint arXiv:1707.02268","author":"Allahyari Mehdi","year":"2017","unstructured":"Mehdi Allahyari , Seyedamin Pouriyeh , Mehdi Assefi , Saeid Safaei , Elizabeth D Trippe , Juan B Gutierrez , and Krys Kochut . 2017. Text summarization techniques: a brief survey. arXiv preprint arXiv:1707.02268 ( 2017 ). Mehdi Allahyari, Seyedamin Pouriyeh, Mehdi Assefi, Saeid Safaei, Elizabeth D Trippe, Juan B Gutierrez, and Krys Kochut. 2017. Text summarization techniques: a brief survey. arXiv preprint arXiv:1707.02268 (2017)."},{"key":"e_1_3_2_1_3_1","volume-title":"Leveraging burst in twitter network communities for event detection. World Wide Web","author":"Ansah Jeffery","year":"2020","unstructured":"Jeffery Ansah , Lin Liu , Wei Kang , Jixue Liu , and Jiuyong Li. 2020. Leveraging burst in twitter network communities for event detection. World Wide Web ( 2020 ), 1--26. Jeffery Ansah, Lin Liu, Wei Kang, Jixue Liu, and Jiuyong Li. 2020. Leveraging burst in twitter network communities for event detection. World Wide Web (2020), 1--26."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.3115\/1072133.1072217"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/1143844.1143859"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.5555\/944919.944937"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3373464.3373474"},{"key":"e_1_3_2_1_8_1","volume-title":"Seventh international AAAI conference on weblogs and social media.","author":"Tat Chua Freddy Chong","year":"2013","unstructured":"Freddy Chong Tat Chua and Sitaram Asur . 2013 . Automatic summarization of events from social media . In Seventh international AAAI conference on weblogs and social media. Freddy Chong Tat Chua and Sitaram Asur. 2013. Automatic summarization of events from social media. In Seventh international AAAI conference on weblogs and social media."},{"key":"e_1_3_2_1_9_1","volume-title":"Emanuele Brugnoli, Ana Lucia Schmidt, Paola Zola, Fabiana Zollo, and Antonio Scala.","author":"Cinelli Matteo","year":"2020","unstructured":"Matteo Cinelli , Walter Quattrociocchi , Alessandro Galeazzi , Carlo Michele Valensise , Emanuele Brugnoli, Ana Lucia Schmidt, Paola Zola, Fabiana Zollo, and Antonio Scala. 2020 . The covid-19 social media infodemic. arXiv preprint arXiv:2003.05004 (2020). Matteo Cinelli, Walter Quattrociocchi, Alessandro Galeazzi, Carlo Michele Valensise, Emanuele Brugnoli, Ana Lucia Schmidt, Paola Zola, Fabiana Zollo, and Antonio Scala. 2020. The covid-19 social media infodemic. arXiv preprint arXiv:2003.05004 (2020)."},{"key":"e_1_3_2_1_10_1","volume-title":"Asit Kumar Das, and Saptarshi Ghosh","author":"Dutta Soumi","year":"2019","unstructured":"Soumi Dutta , Vibhash Chandra , Kanav Mehra , Sujata Ghatak , Asit Kumar Das, and Saptarshi Ghosh . 2019 . Summarizing microblogs during emergency events: A comparison of extractive summarization algorithms. In Emerging Technologies in Data Mining and Information Security. Springer , 859--872. Soumi Dutta, Vibhash Chandra, Kanav Mehra, Sujata Ghatak, Asit Kumar Das, and Saptarshi Ghosh. 2019. Summarizing microblogs during emergency events: A comparison of extractive summarization algorithms. In Emerging Technologies in Data Mining and Information Security. Springer, 859--872."},{"key":"e_1_3_2_1_11_1","volume-title":"Twitter as arena for the authentic outsider: exploring the social media campaigns of Trump and Clinton in the 2016 US presidential election. European journal of communication","author":"Enli Gunn","year":"2017","unstructured":"Gunn Enli . 2017. Twitter as arena for the authentic outsider: exploring the social media campaigns of Trump and Clinton in the 2016 US presidential election. European journal of communication , Vol. 32 , 1 ( 2017 ), 50--61. Gunn Enli. 2017. Twitter as arena for the authentic outsider: exploring the social media campaigns of Trump and Clinton in the 2016 US presidential election. European journal of communication, Vol. 32, 1 (2017), 50--61."},{"key":"e_1_3_2_1_12_1","volume-title":"ThemeDelta: Dynamic segmentations over temporal topic models","author":"Gad Samah","year":"2015","unstructured":"Samah Gad , Waqas Javed , Sohaib Ghani , Niklas Elmqvist , Tom Ewing , Keith N Hampton , and Naren Ramakrishnan . 2015. ThemeDelta: Dynamic segmentations over temporal topic models . IEEE transactions on visualization and computer graphics, Vol. 21 , 5 ( 2015 ), 672--685. Samah Gad, Waqas Javed, Sohaib Ghani, Niklas Elmqvist, Tom Ewing, Keith N Hampton, and Naren Ramakrishnan. 2015. ThemeDelta: Dynamic segmentations over temporal topic models. IEEE transactions on visualization and computer graphics, Vol. 21, 5 (2015), 672--685."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-55178-8"},{"key":"e_1_3_2_1_14_1","volume-title":"et almbox","author":"Garibay Ivan","year":"2020","unstructured":"Ivan Garibay , Toktam A Oghaz , Niloofar Yousefi , Ece C Mutlu , Madeline Schiappa , Steven Scheinert , Georgios C Anagnostopoulos , Christina Bouwens , Stephen M Fiore , Alexander Mantzaris , et almbox . 2020 . Deep Agent : Studying the Dynamics of Information Spread and Evolution in Social Networks . arXiv preprint arXiv:2003.11611 (2020). Ivan Garibay, Toktam A Oghaz, Niloofar Yousefi, Ece C Mutlu, Madeline Schiappa, Steven Scheinert, Georgios C Anagnostopoulos, Christina Bouwens, Stephen M Fiore, Alexander Mantzaris, et almbox. 2020. Deep Agent: Studying the Dynamics of Information Spread and Evolution in Social Networks. arXiv preprint arXiv:2003.11611 (2020)."},{"key":"e_1_3_2_1_15_1","volume-title":"17 Small Stories Research: A Narrative Paradigm for the Analysis of Social Media","author":"Georgakopoulou Alexandra","year":"2017","unstructured":"Alexandra Georgakopoulou . 2017. 17 Small Stories Research: A Narrative Paradigm for the Analysis of Social Media . The Sage Handbook of social media research methods ( 2017 ). Alexandra Georgakopoulou. 2017. 17 Small Stories Research: A Narrative Paradigm for the Analysis of Social Media. The Sage Handbook of social media research methods (2017)."},{"key":"e_1_3_2_1_16_1","volume-title":"Proceedings of 9th language resources and evaluation conference. ELRA, 3678--3683","author":"Glavavs Goran","year":"2014","unstructured":"Goran Glavavs , Jan vS najder, Parisa Kordjamshidi , and Marie-Francine Moens . 2014 . HiEve: A corpus for extracting event hierarchies from news stories . In Proceedings of 9th language resources and evaluation conference. ELRA, 3678--3683 . Goran Glavavs, Jan vS najder, Parisa Kordjamshidi, and Marie-Francine Moens. 2014. HiEve: A corpus for extracting event hierarchies from news stories. In Proceedings of 9th language resources and evaluation conference. ELRA, 3678--3683."},{"key":"e_1_3_2_1_17_1","unstructured":"Thomas L Griffiths Michael I Jordan Joshua B Tenenbaum and David M Blei. 2004. Hierarchical topic models and the nested chinese restaurant process. In Advances in neural information processing systems. 17--24.  Thomas L Griffiths Michael I Jordan Joshua B Tenenbaum and David M Blei. 2004. Hierarchical topic models and the nested chinese restaurant process. In Advances in neural information processing systems. 17--24."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.14778\/3137765.3137815"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.5555\/2380816.2380858"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-018-6894-4"},{"key":"e_1_3_2_1_21_1","volume-title":"Twitter Based Event Summarization. In International Conference on Advances in Computing and Data Sciences. Springer, 165--174","author":"Maryam Amrah","year":"2018","unstructured":"Amrah Maryam and Rashid Ali . 2018 . Twitter Based Event Summarization. In International Conference on Advances in Computing and Data Sciences. Springer, 165--174 . Amrah Maryam and Rashid Ali. 2018. Twitter Based Event Summarization. In International Conference on Advances in Computing and Data Sciences. Springer, 165--174."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24027-5_6"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1075\/jnlh.5.2.01mod"},{"key":"e_1_3_2_1_24_1","volume-title":"Quantifying Latent Moral Foundations in Twitter Narratives: The Case of the Syrian White Helmets Misinformation. arXiv preprint arXiv:2004.13142","author":"dem Mutlu Ece","year":"2020","unstructured":"Ece cC iug dem Mutlu , Toktam Oghaz , Ege T\u00fct\u00fcnc\u00fcler , Jasser Jasser , and Ivan Garibay . 2020. Quantifying Latent Moral Foundations in Twitter Narratives: The Case of the Syrian White Helmets Misinformation. arXiv preprint arXiv:2004.13142 ( 2020 ). Ece cC iug dem Mutlu, Toktam Oghaz, Ege T\u00fct\u00fcnc\u00fcler, Jasser Jasser, and Ivan Garibay. 2020. Quantifying Latent Moral Foundations in Twitter Narratives: The Case of the Syrian White Helmets Misinformation. arXiv preprint arXiv:2004.13142 (2020)."},{"key":"e_1_3_2_1_25_1","volume-title":"Ranking sentences for extractive summarization with reinforcement learning. arXiv preprint arXiv:1802.08636","author":"Narayan Shashi","year":"2018","unstructured":"Shashi Narayan , Shay B Cohen , and Mirella Lapata . 2018. Ranking sentences for extractive summarization with reinforcement learning. arXiv preprint arXiv:1802.08636 ( 2018 ). Shashi Narayan, Shay B Cohen, and Mirella Lapata. 2018. Ranking sentences for extractive summarization with reinforcement learning. arXiv preprint arXiv:1802.08636 (2018)."},{"key":"e_1_3_2_1_26_1","volume-title":"Karl Grieser, and Timothy Baldwin.","author":"Newman David","year":"2010","unstructured":"David Newman , Jey Han Lau , Karl Grieser, and Timothy Baldwin. 2010 . Automatic evaluation of topic coherence. In Human language technologies: The 2010 annual conference of the North American chapter of the association for computational linguistics. Association for Computational Linguistics , 100--108. David Newman, Jey Han Lau, Karl Grieser, and Timothy Baldwin. 2010. Automatic evaluation of topic coherence. In Human language technologies: The 2010 annual conference of the North American chapter of the association for computational linguistics. Association for Computational Linguistics, 100--108."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.5250\/storyworlds.5.2013.0031"},{"key":"e_1_3_2_1_28_1","volume-title":"NIPS Workshop on Big Learning","volume":"128","author":"Pujara Jay","year":"2012","unstructured":"Jay Pujara and Peter Skomoroch . 2012 . Large-scale hierarchical topic models . In NIPS Workshop on Big Learning , Vol. 128 . Jay Pujara and Peter Skomoroch. 2012. Large-scale hierarchical topic models. In NIPS Workshop on Big Learning, Vol. 128."},{"key":"e_1_3_2_1_29_1","volume-title":"Twenty-Fourth International Joint Conference on Artificial Intelligence.","author":"Quan Xiaojun","year":"2015","unstructured":"Xiaojun Quan , Chunyu Kit , Yong Ge , and Sinno Jialin Pan . 2015 . Short and sparse text topic modeling via self-aggregation . In Twenty-Fourth International Joint Conference on Artificial Intelligence. Xiaojun Quan, Chunyu Kit, Yong Ge, and Sinno Jialin Pan. 2015. Short and sparse text topic modeling via self-aggregation. In Twenty-Fourth International Joint Conference on Artificial Intelligence."},{"key":"e_1_3_2_1_30_1","volume-title":"Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems. 1975--1977","author":"Rajabi Amirarsalan","year":"2020","unstructured":"Amirarsalan Rajabi , Chathika Gunaratne , Alexander V Mantzaris , and Ivan Garibay . 2020 . Modeling Disinformation and the Effort to Counter It: A Cautionary Tale of When the Treatment Can Be Worse Than the Disease . In Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems. 1975--1977 . Amirarsalan Rajabi, Chathika Gunaratne, Alexander V Mantzaris, and Ivan Garibay. 2020. Modeling Disinformation and the Effort to Counter It: A Cautionary Tale of When the Treatment Can Be Worse Than the Disease. In Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems. 1975--1977."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080792"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/2484028.2484045"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2016.10.004"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"crossref","unstructured":"Jiwei Tan Xiaojun Wan and Jianguo Xiao. 2017. From Neural Sentence Summarization to Headline Generation: A Coarse-to-Fine Approach.. In IJCAI. 4109--4115.  Jiwei Tan Xiaojun Wan and Jianguo Xiao. 2017. From Neural Sentence Summarization to Headline Generation: A Coarse-to-Fine Approach.. In IJCAI. 4109--4115.","DOI":"10.24963\/ijcai.2017\/574"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.113270"},{"volume-title":"Narrative information extraction with non-linear natural language processing pipelines","author":"Vargas Josep Valls","key":"e_1_3_2_1_36_1","unstructured":"Josep Valls Vargas . 2017. Narrative information extraction with non-linear natural language processing pipelines . Drexel University . Josep Valls Vargas. 2017. Narrative information extraction with non-linear natural language processing pipelines. Drexel University."},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1177\/2053951718756686"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/1150402.1150450"},{"key":"e_1_3_2_1_39_1","volume-title":"Neural extractive text summarization with syntactic compression. arXiv preprint arXiv:1902.00863","author":"Xu Jiacheng","year":"2019","unstructured":"Jiacheng Xu and Greg Durrett . 2019. Neural extractive text summarization with syntactic compression. arXiv preprint arXiv:1902.00863 ( 2019 ). Jiacheng Xu and Greg Durrett. 2019. Neural extractive text summarization with syntactic compression. arXiv preprint arXiv:1902.00863 (2019)."},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.3233\/IDA-160021"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2016.04.014"}],"event":{"name":"HT '20: 31st ACM Conference on Hypertext and Social Media","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGCHI ACM Special Interest Group on Computer-Human Interaction"],"location":"Virtual Event USA","acronym":"HT '20"},"container-title":["Proceedings of the 31st ACM Conference on Hypertext and Social Media"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3372923.3404790","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3372923.3404790","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T17:45:18Z","timestamp":1750268718000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3372923.3404790"}},"subtitle":["A Discrete Time Model"],"short-title":[],"issued":{"date-parts":[[2020,7,13]]},"references-count":41,"alternative-id":["10.1145\/3372923.3404790","10.1145\/3372923"],"URL":"https:\/\/doi.org\/10.1145\/3372923.3404790","relation":{},"subject":[],"published":{"date-parts":[[2020,7,13]]},"assertion":[{"value":"2020-07-13","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}