{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,24]],"date-time":"2025-11-24T16:40:29Z","timestamp":1764002429970,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":75,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,6,9]],"date-time":"2021-06-09T00:00:00Z","timestamp":1623196800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100005247","name":"Data Science Institute of University of British Columbia","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100005247","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000038","name":"Natural Sciences and Engineering Research Council of Canada","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000038","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003816","name":"Huawei Technologies","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003816","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,6,9]]},"DOI":"10.1145\/3448016.3452778","type":"proceedings-article","created":{"date-parts":[[2021,6,18]],"date-time":"2021-06-18T17:22:37Z","timestamp":1624036957000},"page":"2300-2309","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":8,"title":["To Intervene or Not To Intervene: Cost based Intervention for Combating Fake News"],"prefix":"10.1145","author":[{"given":"Saravanan","family":"Thirumuruganathan","sequence":"first","affiliation":[{"name":"Hamad Bin Khalifa University, Doha, Qatar"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael","family":"Simpson","sequence":"additional","affiliation":[{"name":"University of British Columbia, Vancouver, BC, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Laks V.S.","family":"Lakshmanan","sequence":"additional","affiliation":[{"name":"University of British Columbia, Vancouver, BC, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,6,18]]},"reference":[{"key":"e_1_3_2_2_1_1","unstructured":"Shipra Agrawal and Navin Goyal. 2013. Thompson sampling for contextual bandits with linear payoffs. In ICML . 127--135.  Shipra Agrawal and Navin Goyal. 2013. Thompson sampling for contextual bandits with linear payoffs. In ICML . 127--135."},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1002\/asi.23756"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.14778\/3380750.3380762"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3371158.3371402"},{"key":"e_1_3_2_2_5_1","unstructured":"Roja Bandari Sitaram Asur and Bernardo A Huberman. 2012. The pulse of news in social media: Forecasting popularity. In ICWSM .  Roja Bandari Sitaram Asur and Bernardo A Huberman. 2012. The pulse of news in social media: Forecasting popularity. In ICWSM ."},{"key":"e_1_3_2_2_6_1","volume-title":"Mostly exploration-free algorithms for contextual bandits. arXiv preprint arXiv:1704.09011","author":"Bastani Hamsa","year":"2017","unstructured":"Hamsa Bastani , Mohsen Bayati , and Khashayar Khosravi . 2017. Mostly exploration-free algorithms for contextual bandits. arXiv preprint arXiv:1704.09011 ( 2017 ). Hamsa Bastani, Mohsen Bayati, and Khashayar Khosravi. 2017. Mostly exploration-free algorithms for contextual bandits. arXiv preprint arXiv:1704.09011 (2017)."},{"key":"e_1_3_2_2_7_1","volume-title":"A contextual bandit bake-off. arXiv preprint arXiv:1802.04064","author":"Bietti Alberto","year":"2018","unstructured":"Alberto Bietti , Alekh Agarwal , and John Langford . 2018. A contextual bandit bake-off. arXiv preprint arXiv:1802.04064 ( 2018 ). Alberto Bietti, Alekh Agarwal, and John Langford. 2018. A contextual bandit bake-off. arXiv preprint arXiv:1802.04064 (2018)."},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.5555\/1953048.2021053"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"crossref","unstructured":"Ceren Budak Divyakant Agrawal and Amr El Abbadi. 2011. Limiting the spread of misinformation in social networks. In WWW. 665--674.  Ceren Budak Divyakant Agrawal and Amr El Abbadi. 2011. Limiting the spread of misinformation in social networks. In WWW. 665--674.","DOI":"10.1145\/1963405.1963499"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/2531602.2531623"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"crossref","unstructured":"Carlos Castillo Marcelo Mendoza and Barbara Poblete. 2011. Information credibility on twitter. In WWW. 675--684.  Carlos Castillo Marcelo Mendoza and Barbara Poblete. 2011. Information credibility on twitter. In WWW. 675--684.","DOI":"10.1145\/1963405.1963500"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"crossref","unstructured":"Sylvie Cazalens Julien Leblay Philippe Lamarre Ioana Manolescu and Xavier Tannier. 2018. Computational fact checking: a content management perspective. (2018).  Sylvie Cazalens Julien Leblay Philippe Lamarre Ioana Manolescu and Xavier Tannier. 2018. Computational fact checking: a content management perspective. (2018).","DOI":"10.1145\/3184558.3188727"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2015.2465378"},{"key":"e_1_3_2_2_14_1","volume-title":"Jon Michael Kleinberg, and Jure Leskovec","author":"Cheng Justin","year":"2014","unstructured":"Justin Cheng , Lada Adamic , P Alex Dow , Jon Michael Kleinberg, and Jure Leskovec . 2014 . Can cascades be predicted?. In WWW. 925--936. Justin Cheng, Lada Adamic, P Alex Dow, Jon Michael Kleinberg, and Jure Leskovec. 2014. Can cascades be predicted?. In WWW. 925--936."},{"key":"e_1_3_2_2_15_1","unstructured":"CNN. 2020. Facebook is giving 25 million USD to news organizations and spending 75 million USD more to help . https:\/\/edition.cnn.com\/2020\/03\/30\/media\/facebook-news-journalism-grants-coronavirus\/index.html Last accessed on 2020--11--20.  CNN. 2020. Facebook is giving 25 million USD to news organizations and spending 75 million USD more to help . https:\/\/edition.cnn.com\/2020\/03\/30\/media\/facebook-news-journalism-grants-coronavirus\/index.html Last accessed on 2020--11--20."},{"key":"e_1_3_2_2_16_1","volume-title":"5th Biennial Conference on Innovative Data Systems Research, CIDR .","author":"Cohen S","year":"2011","unstructured":"S Cohen , C Li , J Yang , and C Yu . 2011 . Computational journalism: A call to arms to database researchers, 148--151 . In 5th Biennial Conference on Innovative Data Systems Research, CIDR . S Cohen, C Li, J Yang, and C Yu. 2011. Computational journalism: A call to arms to database researchers, 148--151. In 5th Biennial Conference on Innovative Data Systems Research, CIDR ."},{"key":"e_1_3_2_2_17_1","unstructured":"Limeng Cui and Dongwon Lee. 2020. CoAID: COVID-19 Healthcare Misinformation Dataset. arxiv: cs.SI\/2006.00885  Limeng Cui and Dongwon Lee. 2020. CoAID: COVID-19 Healthcare Misinformation Dataset. arxiv: cs.SI\/2006.00885"},{"key":"e_1_3_2_2_18_1","volume-title":"Ginger Cannot Cure Cancer: Battling Fake Health News with a Comprehensive Data Repository. arXiv preprint arXiv:2002.00837","author":"Dai Enyan","year":"2020","unstructured":"Enyan Dai , Yiwei Sun , and Suhang Wang . 2020. Ginger Cannot Cure Cancer: Battling Fake Health News with a Comprehensive Data Repository. arXiv preprint arXiv:2002.00837 ( 2020 ). Enyan Dai, Yiwei Sun, and Suhang Wang. 2020. Ginger Cannot Cure Cancer: Battling Fake Health News with a Comprehensive Data Repository. arXiv preprint arXiv:2002.00837 (2020)."},{"key":"e_1_3_2_2_19_1","volume-title":"Fact Checking: Theory and Practice. In SIGKDD .","author":"Dong Xin Luna","year":"2018","unstructured":"Xin Luna Dong , Christos Faloutsos , Xian Li , Subhabrata Mukherjee , and Prashant Shiralkar . 2018 . Fact Checking: Theory and Practice. In SIGKDD . Xin Luna Dong, Christos Faloutsos, Xian Li, Subhabrata Mukherjee, and Prashant Shiralkar. 2018. Fact Checking: Theory and Practice. In SIGKDD ."},{"key":"e_1_3_2_2_20_1","volume-title":"IJCAI","volume":"17","author":"Elkan Charles","year":"2001","unstructured":"Charles Elkan . 2001 . The foundations of cost-sensitive learning . In IJCAI , Vol. 17 . Lawrence Erlbaum Associates Ltd, 973--978. Charles Elkan. 2001. The foundations of cost-sensitive learning. In IJCAI, Vol. 17. Lawrence Erlbaum Associates Ltd, 973--978."},{"key":"e_1_3_2_2_21_1","unstructured":"Facebook. 2019 a. Helping to Protect the 2020 US Elections. https:\/\/about.fb.com\/news\/2019\/10\/update-on-election-integrity-efforts\/ Last accessed on 2020-07-07.  Facebook. 2019 a. Helping to Protect the 2020 US Elections. https:\/\/about.fb.com\/news\/2019\/10\/update-on-election-integrity-efforts\/ Last accessed on 2020-07-07."},{"key":"e_1_3_2_2_22_1","unstructured":"Facebook. 2019 b. How is Facebook addressing false news? https:\/\/www.facebook.com\/help\/1952307158131536 Last accessed on 2020-07-07.  Facebook. 2019 b. How is Facebook addressing false news? https:\/\/www.facebook.com\/help\/1952307158131536 Last accessed on 2020-07-07."},{"key":"e_1_3_2_2_23_1","unstructured":"Mehrdad Farajtabar Jiachen Yang Xiaojing Ye Huan Xu Rakshit Trivedi Elias Khalil Shuang Li Le Song and Hongyuan Zha. 2017. Fake news mitigation via point process based intervention. In ICML. JMLR. org 1097--1106.  Mehrdad Farajtabar Jiachen Yang Xiaojing Ye Huan Xu Rakshit Trivedi Elias Khalil Shuang Li Le Song and Hongyuan Zha. 2017. Fake news mitigation via point process based intervention. In ICML. JMLR. org 1097--1106."},{"key":"e_1_3_2_2_24_1","unstructured":"Sarah Filippi Olivier Cappe Aur\u00e9lien Garivier and Csaba Szepesv\u00e1ri. 2010. Parametric bandits: The generalized linear case. In NIPS. 586--594.  Sarah Filippi Olivier Cappe Aur\u00e9lien Garivier and Csaba Szepesv\u00e1ri. 2010. Parametric bandits: The generalized linear case. In NIPS. 586--594."},{"key":"e_1_3_2_2_25_1","volume-title":"Taxonomy and Evaluation for Microblog Popularity Prediction. ACM Transactions on Knowledge Discovery from Data (TKDD)","author":"Gao Xiaofeng","year":"2019","unstructured":"Xiaofeng Gao , Zhenhao Cao , Sha Li , Bin Yao , Guihai Chen , and Shaojie Tang . 2019. Taxonomy and Evaluation for Microblog Popularity Prediction. ACM Transactions on Knowledge Discovery from Data (TKDD) , Vol. 13 , 2 ( 2019 ), 1--40. Xiaofeng Gao, Zhenhao Cao, Sha Li, Bin Yao, Guihai Chen, and Shaojie Tang. 2019. Taxonomy and Evaluation for Microblog Popularity Prediction. ACM Transactions on Knowledge Discovery from Data (TKDD) , Vol. 13, 2 (2019), 1--40."},{"key":"e_1_3_2_2_26_1","unstructured":"Google. 2020. Google FactCheck Claim Search API . https:\/\/toolbox.google.com\/factcheck\/apis Last accessed on 2020--11--20.  Google. 2020. Google FactCheck Claim Search API . https:\/\/toolbox.google.com\/factcheck\/apis Last accessed on 2020--11--20."},{"key":"e_1_3_2_2_27_1","volume-title":"Tweetcred: Real-time credibility assessment of content on twitter. In SocInfo","author":"Gupta Aditi","year":"2014","unstructured":"Aditi Gupta , Ponnurangam Kumaraguru , Carlos Castillo , and Patrick Meier . 2014 . Tweetcred: Real-time credibility assessment of content on twitter. In SocInfo . Springer , 228--243. Aditi Gupta, Ponnurangam Kumaraguru, Carlos Castillo, and Patrick Meier. 2014. Tweetcred: Real-time credibility assessment of content on twitter. In SocInfo. Springer, 228--243."},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098131"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.14778\/2733004.2733029"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.14778\/3137765.3137815"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/58.1.83"},{"volume-title":"Influence blocking maximization in social networks under the competitive linear threshold model","author":"He Xinran","key":"e_1_3_2_2_32_1","unstructured":"Xinran He , Guojie Song , Wei Chen , and Qingye Jiang . 2012. Influence blocking maximization in social networks under the competitive linear threshold model . In SDM. SIAM , 463--474. Xinran He, Guojie Song, Wei Chen, and Qingye Jiang. 2012. Influence blocking maximization in social networks under the competitive linear threshold model. In SDM. SIAM, 463--474."},{"key":"e_1_3_2_2_33_1","unstructured":"Instagram. 2019. Instagram adds 'false information' labels to prevent fake news from going viral. https:\/\/me.mashable.com\/tech\/7586\/instagram-adds-false-information-labels-to-prevent-fake-news-from-going-viral Last accessed on 2020-07-07.  Instagram. 2019. Instagram adds 'false information' labels to prevent fake news from going viral. https:\/\/me.mashable.com\/tech\/7586\/instagram-adds-false-information-labels-to-prevent-fake-news-from-going-viral Last accessed on 2020-07-07."},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.14778\/3372716.3372727"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/956750.956769"},{"volume-title":"Predicting the popularity of news articles","author":"Keneshloo Yaser","key":"e_1_3_2_2_36_1","unstructured":"Yaser Keneshloo , Shuguang Wang , Eui-Hong Han , and Naren Ramakrishnan . 2016. Predicting the popularity of news articles . In SDM. SIAM , 441--449. Yaser Keneshloo, Shuguang Wang, Eui-Hong Han, and Naren Ramakrishnan. 2016. Predicting the popularity of news articles. In SDM. SIAM, 441--449."},{"volume-title":"Prominent features of rumor propagation in online social media","author":"Kwon Sejeong","key":"e_1_3_2_2_37_1","unstructured":"Sejeong Kwon , Meeyoung Cha , Kyomin Jung , Wei Chen , and Yajun Wang . 2013. Prominent features of rumor propagation in online social media . In ICDM. IEEE , 1103--1108. Sejeong Kwon, Meeyoung Cha, Kyomin Jung, Wei Chen, and Yajun Wang. 2013. Prominent features of rumor propagation in online social media. In ICDM. IEEE, 1103--1108."},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.14778\/3352063.3352117"},{"key":"e_1_3_2_2_39_1","unstructured":"John Langford and Tong Zhang. 2008. The epoch-greedy algorithm for multi-armed bandits with side information. In NIPS . 817--824.  John Langford and Tong Zhang. 2008. The epoch-greedy algorithm for multi-armed bandits with side information. In NIPS . 817--824."},{"volume-title":"Bandit algorithms","author":"Lattimore Tor","key":"e_1_3_2_2_40_1","unstructured":"Tor Lattimore and Csaba Szepesv\u00e1ri . 2020. Bandit algorithms . Cambridge University Press . Tor Lattimore and Csaba Szepesv\u00e1ri. 2020. Bandit algorithms .Cambridge University Press."},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.14778\/2850578.2850581"},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/2872427.2883001"},{"key":"e_1_3_2_2_43_1","volume-title":"News use across social media platforms","author":"Matsa Katerina Eva","year":"2018","unstructured":"Katerina Eva Matsa and Elisa Shearer . 2018. News use across social media platforms 2018 . Pew Research Center ( 2018). Katerina Eva Matsa and Elisa Shearer. 2018. News use across social media platforms 2018. Pew Research Center (2018)."},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"crossref","unstructured":"Swapnil Mishra Marian-Andrei Rizoiu and Lexing Xie. 2016. Feature driven and point process approaches for popularity prediction. In CIKM . 1069--1078.  Swapnil Mishra Marian-Andrei Rizoiu and Lexing Xie. 2016. Feature driven and point process approaches for popularity prediction. In CIKM . 1069--1078.","DOI":"10.1145\/2983323.2983812"},{"key":"e_1_3_2_2_45_1","doi-asserted-by":"crossref","unstructured":"Subhabrata Mukherjee and Gerhard Weikum. 2015. Leveraging joint interactions for credibility analysis in news communities. In CIKM . 353--362.  Subhabrata Mukherjee and Gerhard Weikum. 2015. Leveraging joint interactions for credibility analysis in news communities. In CIKM . 353--362.","DOI":"10.1145\/2806416.2806537"},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"publisher","DOI":"10.1145\/2882903.2915207"},{"key":"e_1_3_2_2_47_1","doi-asserted-by":"crossref","unstructured":"Nam P Nguyen Guanhua Yan My T Thai and Stephan Eidenbenz. 2012. Containment of misinformation spread in online social networks. In WebSci . 213--222.  Nam P Nguyen Guanhua Yan My T Thai and Stephan Eidenbenz. 2012. Containment of misinformation spread in online social networks. In WebSci . 213--222.","DOI":"10.1145\/2380718.2380746"},{"key":"e_1_3_2_2_48_1","doi-asserted-by":"publisher","DOI":"10.1109\/MCS.2015.2495000"},{"key":"e_1_3_2_2_49_1","unstructured":"Pinterest. 2019. Health misinformation. https:\/\/help.pinterest.com\/en\/article\/health-misinformation Last accessed on 2020-07-07.  Pinterest. 2019. Health misinformation. https:\/\/help.pinterest.com\/en\/article\/health-misinformation Last accessed on 2020-07-07."},{"key":"e_1_3_2_2_50_1","unstructured":"Carlos Riquelme George Tucker and Jasper Snoek. 2018. Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling. ICLR. (2018).  Carlos Riquelme George Tucker and Jasper Snoek. 2018. Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling. ICLR. (2018)."},{"key":"e_1_3_2_2_51_1","volume-title":"Csi: A hybrid deep model for fake news detection. In CIKM. 797--806.","author":"Ruchansky Natali","year":"2017","unstructured":"Natali Ruchansky , Sungyong Seo , and Yan Liu . 2017 . Csi: A hybrid deep model for fake news detection. In CIKM. 797--806. Natali Ruchansky, Sungyong Seo, and Yan Liu. 2017. Csi: A hybrid deep model for fake news detection. In CIKM. 797--806."},{"key":"e_1_3_2_2_52_1","volume-title":"Nikolay Babulkov, and Preslav Nakov.","author":"Shaar Shaden","year":"2020","unstructured":"Shaden Shaar , Giovanni Da San Martino , Nikolay Babulkov, and Preslav Nakov. 2020 . That is a known lie: Detecting previously fact-checked claims. ACL ( 2020). Shaden Shaar, Giovanni Da San Martino, Nikolay Babulkov, and Preslav Nakov. 2020. That is a known lie: Detecting previously fact-checked claims. ACL (2020)."},{"key":"e_1_3_2_2_53_1","doi-asserted-by":"publisher","DOI":"10.1145\/3305260"},{"key":"e_1_3_2_2_54_1","doi-asserted-by":"crossref","unstructured":"Kai Shu Limeng Cui Suhang Wang Dongwon Lee and Huan Liu. 2019. defend: Explainable fake news detection. In SIGKDD. 395--405.  Kai Shu Limeng Cui Suhang Wang Dongwon Lee and Huan Liu. 2019. defend: Explainable fake news detection. In SIGKDD. 395--405.","DOI":"10.1145\/3292500.3330935"},{"key":"e_1_3_2_2_55_1","volume-title":"Fakenewsnet: A data repository with news content, social context and dynamic information for studying fake news on social media. arXiv preprint arXiv:1809.01286","author":"Shu Kai","year":"2018","unstructured":"Kai Shu , Deepak Mahudeswaran , and et.al. 2018 . Fakenewsnet: A data repository with news content, social context and dynamic information for studying fake news on social media. arXiv preprint arXiv:1809.01286 (2018). Kai Shu, Deepak Mahudeswaran, and et.al. 2018. Fakenewsnet: A data repository with news content, social context and dynamic information for studying fake news on social media. arXiv preprint arXiv:1809.01286 (2018)."},{"key":"e_1_3_2_2_56_1","doi-asserted-by":"publisher","DOI":"10.1145\/3137597.3137600"},{"key":"e_1_3_2_2_57_1","volume-title":"Reverse Prevention Sampling for Misinformation Mitigation in Social Networks. In 23rd International Conference on Database Theory (ICDT","author":"Simpson Michael","year":"2020","unstructured":"Michael Simpson , Venkatesh Srinivasan , and Alex Thomo . 2020 . Reverse Prevention Sampling for Misinformation Mitigation in Social Networks. In 23rd International Conference on Database Theory (ICDT 2020). Schloss Dagstuhl-Leibniz-Zentrum f\u00fcr Informatik. Michael Simpson, Venkatesh Srinivasan, and Alex Thomo. 2020. Reverse Prevention Sampling for Misinformation Mitigation in Social Networks. In 23rd International Conference on Database Theory (ICDT 2020). Schloss Dagstuhl-Leibniz-Zentrum f\u00fcr Informatik."},{"key":"e_1_3_2_2_58_1","doi-asserted-by":"publisher","DOI":"10.14778\/3358701.3358708"},{"key":"e_1_3_2_2_59_1","doi-asserted-by":"publisher","DOI":"10.1145\/2723372.2723734"},{"key":"e_1_3_2_2_60_1","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/25.3-4.285"},{"key":"e_1_3_2_2_61_1","doi-asserted-by":"crossref","unstructured":"Hanghang Tong B Aditya Prakash Tina Eliassi-Rad Michalis Faloutsos and Christos Faloutsos. 2012. Gelling and melting large graphs by edge manipulation. In CIKM . 245--254.  Hanghang Tong B Aditya Prakash Tina Eliassi-Rad Michalis Faloutsos and Christos Faloutsos. 2012. Gelling and melting large graphs by edge manipulation. In CIKM . 245--254.","DOI":"10.1145\/2396761.2396795"},{"key":"e_1_3_2_2_62_1","unstructured":"Twitter. 2020 a. Building rules in public: Our approach to synthetic and manipulated media. https:\/\/blog.twitter.com\/en_us\/topics\/company\/2020\/new-approach-to-synthetic-and-manipulated-media.html Last accessed on 2020-07-07.  Twitter. 2020 a. Building rules in public: Our approach to synthetic and manipulated media. https:\/\/blog.twitter.com\/en_us\/topics\/company\/2020\/new-approach-to-synthetic-and-manipulated-media.html Last accessed on 2020-07-07."},{"key":"e_1_3_2_2_63_1","unstructured":"Twitter. 2020 b. Notices on Twitter and what they mean. https:\/\/help.twitter.com\/en\/rules-and-policies\/notices-on-twitter Last accessed on 2020-07-07.  Twitter. 2020 b. Notices on Twitter and what they mean. https:\/\/help.twitter.com\/en\/rules-and-policies\/notices-on-twitter Last accessed on 2020-07-07."},{"key":"e_1_3_2_2_64_1","unstructured":"Twitter. 2020 c. Our range of enforcement options. https:\/\/help.twitter.com\/en\/rules-and-policies\/enforcement-options Last accessed on 2020-07-07.  Twitter. 2020 c. Our range of enforcement options. https:\/\/help.twitter.com\/en\/rules-and-policies\/enforcement-options Last accessed on 2020-07-07."},{"key":"e_1_3_2_2_65_1","volume-title":"Science","volume":"359","author":"Vosoughi Soroush","year":"2018","unstructured":"Soroush Vosoughi , Deb Roy , and Sinan Aral . 2018 . The spread of true and false news online . Science , Vol. 359 , 6380 (2018), 1146--1151. Soroush Vosoughi, Deb Roy, and Sinan Aral. 2018. The spread of true and false news online. Science , Vol. 359, 6380 (2018), 1146--1151."},{"key":"e_1_3_2_2_66_1","first-page":"702","article-title":"Analyzing and predicting news popularity on Twitter","volume":"35","author":"Wu Bo","year":"2015","unstructured":"Bo Wu and Haiying Shen . 2015 . Analyzing and predicting news popularity on Twitter . IJIM , Vol. 35 , 6 (2015), 702 -- 711 . Bo Wu and Haiying Shen. 2015. Analyzing and predicting news popularity on Twitter. IJIM , Vol. 35, 6 (2015), 702--711.","journal-title":"IJIM"},{"volume-title":"False rumors detection on sina weibo by propagation structures","author":"Wu Ke","key":"e_1_3_2_2_67_1","unstructured":"Ke Wu , Song Yang , and Kenny Q Zhu . 2015. False rumors detection on sina weibo by propagation structures . In ICDE. IEEE , 651--662. Ke Wu, Song Yang, and Kenny Q Zhu. 2015. False rumors detection on sina weibo by propagation structures. In ICDE. IEEE, 651--662."},{"key":"e_1_3_2_2_68_1","doi-asserted-by":"publisher","DOI":"10.14778\/2732286.2732295"},{"key":"e_1_3_2_2_69_1","doi-asserted-by":"crossref","unstructured":"Jaewon Yang and Jure Leskovec. 2011. Patterns of temporal variation in online media. In WSDM. 177--186.  Jaewon Yang and Jure Leskovec. 2011. Patterns of temporal variation in online media. In WSDM. 177--186.","DOI":"10.1145\/1935826.1935863"},{"key":"e_1_3_2_2_70_1","first-page":"1583","article-title":"A bayesian approach for predicting the popularity of tweets","volume":"8","author":"Zaman Tauhid","year":"2014","unstructured":"Tauhid Zaman , Emily B Fox , Eric T Bradlow , 2014 . A bayesian approach for predicting the popularity of tweets . AAS , Vol. 8 , 3 (2014), 1583 -- 1611 . Tauhid Zaman, Emily B Fox, Eric T Bradlow, et almbox. 2014. A bayesian approach for predicting the popularity of tweets. AAS , Vol. 8, 3 (2014), 1583--1611.","journal-title":"AAS"},{"key":"e_1_3_2_2_71_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-018-01326-x"},{"key":"e_1_3_2_2_72_1","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783401"},{"key":"e_1_3_2_2_73_1","volume-title":"A Survey of Information Cascade Analysis: Models, Predictions and Recent Advances. arXiv preprint arXiv:2005.11041","author":"Zhou Fan","year":"2020","unstructured":"Fan Zhou , Xovee Xu , Goce Trajcevski , and Kunpeng Zhang . 2020. A Survey of Information Cascade Analysis: Models, Predictions and Recent Advances. arXiv preprint arXiv:2005.11041 ( 2020 ). Fan Zhou, Xovee Xu, Goce Trajcevski, and Kunpeng Zhang. 2020. A Survey of Information Cascade Analysis: Models, Predictions and Recent Advances. arXiv preprint arXiv:2005.11041 (2020)."},{"key":"e_1_3_2_2_74_1","volume-title":"Fake news: A survey of research, detection methods, and opportunities. arXiv preprint arXiv:1812.00315","author":"Zhou Xinyi","year":"2018","unstructured":"Xinyi Zhou and Reza Zafarani . 2018. Fake news: A survey of research, detection methods, and opportunities. arXiv preprint arXiv:1812.00315 ( 2018 ). Xinyi Zhou and Reza Zafarani. 2018. Fake news: A survey of research, detection methods, and opportunities. arXiv preprint arXiv:1812.00315 (2018)."},{"key":"e_1_3_2_2_75_1","doi-asserted-by":"crossref","unstructured":"Xinyi Zhou Reza Zafarani Kai Shu and Huan Liu. 2019. Fake news: Fundamental theories detection strategies and challenges. In WSDM . 836--837.  Xinyi Zhou Reza Zafarani Kai Shu and Huan Liu. 2019. Fake news: Fundamental theories detection strategies and challenges. In WSDM . 836--837.","DOI":"10.1145\/3289600.3291382"}],"event":{"name":"SIGMOD\/PODS '21: International Conference on Management of Data","sponsor":["SIGMOD ACM Special Interest Group on Management of Data"],"location":"Virtual Event China","acronym":"SIGMOD\/PODS '21"},"container-title":["Proceedings of the 2021 International Conference on Management of Data"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3448016.3452778","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3448016.3452778","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:49:14Z","timestamp":1750193354000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3448016.3452778"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,9]]},"references-count":75,"alternative-id":["10.1145\/3448016.3452778","10.1145\/3448016"],"URL":"https:\/\/doi.org\/10.1145\/3448016.3452778","relation":{},"subject":[],"published":{"date-parts":[[2021,6,9]]},"assertion":[{"value":"2021-06-18","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}