{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:28:03Z","timestamp":1750220883303,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":49,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,11,3]],"date-time":"2019-11-03T00:00:00Z","timestamp":1572739200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"European Union's Horizon 2020 research and innovation programme","award":["832921"],"award-info":[{"award-number":["832921"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,11,3]]},"DOI":"10.1145\/3357384.3358020","type":"proceedings-article","created":{"date-parts":[[2019,11,4]],"date-time":"2019-11-04T14:11:35Z","timestamp":1572876695000},"page":"921-930","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["<i>Going Beyond Content Richness<\/i>\n            : Verified Information Aware Summarization of Crisis-Related Microblogs"],"prefix":"10.1145","author":[{"given":"Ashish","family":"Sharma","sequence":"first","affiliation":[{"name":"University of Washington, Seattle, WA, USA"}]},{"given":"Koustav","family":"Rudra","sequence":"additional","affiliation":[{"name":"Leibniz Universit\u00e4t Hannover, Hannover, Germany"}]},{"given":"Niloy","family":"Ganguly","sequence":"additional","affiliation":[{"name":"Indian Institute of Technology Kharagpur, Kharagpur, India"}]}],"member":"320","published-online":{"date-parts":[[2019,11,3]]},"reference":[{"volume-title":"Proc. CSCW. 155--168","author":"Arif A.","key":"e_1_3_2_1_1_1","unstructured":"A. Arif , JJ. Robinson , SA. Stanek , ES. Fichet , P. Townsend , Z. Worku , and K. Starbird . 2017. A Closer Look at the Self-Correcting Crowd: Examining Corrections in Online Rumors . In Proc. CSCW. 155--168 . A. Arif, JJ. Robinson, SA. Stanek, ES. Fichet, P. Townsend, Z. Worku, and K. Starbird. 2017. A Closer Look at the Self-Correcting Crowd: Examining Corrections in Online Rumors. In Proc. CSCW. 155--168."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.5555\/944919.944937"},{"volume-title":"Proc. RANLP .","author":"Bontcheva K.","key":"e_1_3_2_1_3_1","unstructured":"K. Bontcheva , L. Derczynski , A. Funk , MA. Greenwood , D. Maynard , and N. Aswani . 2013. TwitIE: An Open-Source Information Extraction Pipeline for Microblog Text . In Proc. RANLP . K. Bontcheva, L. Derczynski, A. Funk, MA. Greenwood, D. Maynard, and N. Aswani. 2013. TwitIE: An Open-Source Information Extraction Pipeline for Microblog Text. In Proc. RANLP ."},{"volume-title":"Proc. WWW . 695--698","author":"Cameron MA.","key":"e_1_3_2_1_4_1","unstructured":"MA. Cameron , R. Power , B. Robinson , and J. Yin . 2012. Emergency situation awareness from twitter for crisis management . In Proc. WWW . 695--698 . MA. Cameron, R. Power, B. Robinson, and J. Yin. 2012. Emergency situation awareness from twitter for crisis management. In Proc. WWW . 695--698."},{"volume-title":"Big Crisis Data: Social Media in Disasters and Time-Critical Situations","author":"Castillo C.","key":"e_1_3_2_1_5_1","unstructured":"C. Castillo . 2016. Big Crisis Data: Social Media in Disasters and Time-Critical Situations . Cambridge University Press . C. Castillo. 2016. Big Crisis Data: Social Media in Disasters and Time-Critical Situations .Cambridge University Press."},{"volume-title":"Proc. WWW. 675--684","author":"Castillo C.","key":"e_1_3_2_1_6_1","unstructured":"C. Castillo , M. Mendoza , and B. Poblete . 2011. Information credibility on twitter . In Proc. WWW. 675--684 . C. Castillo, M. Mendoza, and B. Poblete. 2011. Information credibility on twitter. In Proc. WWW. 675--684."},{"volume-title":"Proc. ICWSM.","author":"Chakrabarti D.","key":"e_1_3_2_1_7_1","unstructured":"D. Chakrabarti and K. Punera . 2011. Event summarization using tweets . In Proc. ICWSM. D. Chakrabarti and K. Punera. 2011. Event summarization using tweets. In Proc. ICWSM."},{"key":"e_1_3_2_1_8_1","volume-title":"Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection. arXiv preprint arXiv:1704.05973","author":"Chen T.","year":"2017","unstructured":"T. Chen , L. Wu , X. Li , J. Zhang , H. Yin , and Y. Wang . 2017 . Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection. arXiv preprint arXiv:1704.05973 (2017). T. Chen, L. Wu, X. Li, J. Zhang, H. Yin, and Y. Wang. 2017. Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection. arXiv preprint arXiv:1704.05973 (2017)."},{"key":"e_1_3_2_1_9_1","first-page":"89","article-title":"Political polarization on twitter","volume":"133","author":"Conover M.","year":"2011","unstructured":"M. Conover , J. Ratkiewicz , MR. Francisco , B. Goncc alves, F. Menczer , and A. Flammini . 2011 . Political polarization on twitter . ICWSM , Vol. 133 (2011), 89 -- 96 . M. Conover, J. Ratkiewicz, MR. Francisco, B. Goncc alves, F. Menczer, and A. Flammini. 2011. Political polarization on twitter. ICWSM , Vol. 133 (2011), 89--96.","journal-title":"ICWSM"},{"volume-title":"Proc. ACL. 536--544","author":"Diao Q.","key":"e_1_3_2_1_10_1","unstructured":"Q. Diao , J. Jiang , F. Zhu , and EP. Lim . 2012. Finding bursty topics from microblogs . In Proc. ACL. 536--544 . Q. Diao, J. Jiang, F. Zhu, and EP. Lim. 2012. Finding bursty topics from microblogs. In Proc. ACL. 536--544."},{"volume-title":"Proc. ICWSM .","author":"Friggeri A.","key":"e_1_3_2_1_11_1","unstructured":"A. Friggeri , L. Adamic , D. Eckles , and J. Cheng . 2014. Rumor Cascades .. In Proc. ICWSM . A. Friggeri, L. Adamic, D. Eckles, and J. Cheng. 2014. Rumor Cascades.. In Proc. ICWSM ."},{"volume-title":"Proc. WWW. 729--736","author":"Gupta A.","key":"e_1_3_2_1_12_1","unstructured":"A. Gupta , H. Lamba , P. Kumaraguru , and A. Joshi . 2013. Faking sandy: characterizing and identifying fake images on twitter during hurricane sandy . In Proc. WWW. 729--736 . A. Gupta, H. Lamba, P. Kumaraguru, and A. Joshi. 2013. Faking sandy: characterizing and identifying fake images on twitter during hurricane sandy. In Proc. WWW. 729--736."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"crossref","unstructured":"A. Hannak D. Margolin B. Keegan and I. Weber. 2014. Get Back! You Don't Know Me Like That: The Social Mediation of Fact Checking Interventions in Twitter Conversations.. In ICWSM .  A. Hannak D. Margolin B. Keegan and I. Weber. 2014. Get Back! You Don't Know Me Like That: The Social Mediation of Fact Checking Interventions in Twitter Conversations.. In ICWSM .","DOI":"10.1609\/icwsm.v8i1.14555"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/2771588"},{"volume-title":"Proc. WWW . 159--162","author":"Imran M.","key":"e_1_3_2_1_15_1","unstructured":"M. Imran , C. Castillo , J. Lucas , P. Meier , and S. Vieweg . 2014. AIDR: Artificial intelligence for disaster response . In Proc. WWW . 159--162 . M. Imran, C. Castillo, J. Lucas, P. Meier, and S. Vieweg. 2014. AIDR: Artificial intelligence for disaster response. In Proc. WWW . 159--162."},{"key":"e_1_3_2_1_16_1","volume-title":"Lifeline: Human-annotated Twitter Corpora for NLP of Crisis-related Messages. In Proc. LREC .","author":"Imran M.","year":"2016","unstructured":"M. Imran , P. Mitra , and C. Castillo . 2016 . Twitter as a Lifeline: Human-annotated Twitter Corpora for NLP of Crisis-related Messages. In Proc. LREC . M. Imran, P. Mitra, and C. Castillo. 2016. Twitter as a Lifeline: Human-annotated Twitter Corpora for NLP of Crisis-related Messages. In Proc. LREC ."},{"volume-title":"Proc. SIGIR . 1221--1224","author":"Jang M.","key":"e_1_3_2_1_17_1","unstructured":"M. Jang and J. Allan . 2018. Explaining Controversy on Social Media via Stance Summarization . In Proc. SIGIR . 1221--1224 . M. Jang and J. Allan. 2018. Explaining Controversy on Social Media via Stance Summarization. In Proc. SIGIR . 1221--1224."},{"key":"e_1_3_2_1_18_1","first-page":"1608","article-title":"Predicting salient updates for disaster summarization","volume":"1","author":"Kedzie C.","year":"2015","unstructured":"C. Kedzie , K. McKeown , and F. Diaz . 2015 . Predicting salient updates for disaster summarization . In Proc. ACL , Vol. 1. 1608 -- 1617 . C. Kedzie, K. McKeown, and F. Diaz. 2015. Predicting salient updates for disaster summarization. In Proc. ACL , Vol. 1. 1608--1617.","journal-title":"Proc. ACL"},{"volume-title":"Proc. IEEE Socialcom. 128--133","author":"Khan MAH.","key":"e_1_3_2_1_19_1","unstructured":"MAH. Khan , D. Bollegala , G. Liu , and K. Sezaki . 2013. Multi-Tweet Summarization of Real-Time Events . In Proc. IEEE Socialcom. 128--133 . MAH. Khan, D. Bollegala, G. Liu, and K. Sezaki. 2013. Multi-Tweet Summarization of Real-Time Events . In Proc. IEEE Socialcom. 128--133."},{"key":"e_1_3_2_1_20_1","volume-title":"et almbox. 2009 (Accessed","author":"Kohut A.","year":"2018","unstructured":"A. Kohut , DC. Doherty , M. Dimock , et almbox. 2009 (Accessed 2018 ). PRESS ACCURACY RATING HITS TWO DECADE LOW . A. Kohut, DC. Doherty, M. Dimock, et almbox. 2009 (Accessed 2018). PRESS ACCURACY RATING HITS TWO DECADE LOW ."},{"volume-title":"Proc. ICDM . 1103--1108","author":"Kwon S.","key":"e_1_3_2_1_21_1","unstructured":"S. Kwon , M. Cha , K. Jung , W. Chen , and Y. Wang . 2013. Prominent features of rumor propagation in online social media . In Proc. ICDM . 1103--1108 . S. Kwon, M. Cha, K. Jung, W. Chen, and Y. Wang. 2013. Prominent features of rumor propagation in online social media. In Proc. ICDM . 1103--1108."},{"key":"e_1_3_2_1_22_1","volume-title":"Proc. Workshop on Text Summarization Branches Out (with ACL).","author":"Lin Chin-Yew","year":"2004","unstructured":"Chin-Yew Lin . 2004 . ROUGE: A package for automatic evaluation of summaries . In Proc. Workshop on Text Summarization Branches Out (with ACL). Chin-Yew Lin. 2004. ROUGE: A package for automatic evaluation of summaries. In Proc. Workshop on Text Summarization Branches Out (with ACL)."},{"volume-title":"Proc. CIKM. 1867--1870","author":"Liu X.","key":"e_1_3_2_1_23_1","unstructured":"X. Liu , A. Nourbakhsh , Q. Li , R. Fang , and S. Shah . 2015. Real-time rumor debunking on twitter . In Proc. CIKM. 1867--1870 . X. Liu, A. Nourbakhsh, Q. Li, R. Fang, and S. Shah. 2015. Real-time rumor debunking on twitter. In Proc. CIKM. 1867--1870."},{"key":"e_1_3_2_1_24_1","unstructured":"J. Ma W. Gao P. Mitra S. Kwon BJ. Jansen KF. Wong and M. Cha. 2016. Detecting Rumors from Microblogs with Recurrent Neural Networks.. In IJCAI . 3818--3824.  J. Ma W. Gao P. Mitra S. Kwon BJ. Jansen KF. Wong and M. Cha. 2016. Detecting Rumors from Microblogs with Recurrent Neural Networks.. In IJCAI . 3818--3824."},{"volume-title":"Proc. CIKM. 1751--1754","author":"Ma J.","key":"e_1_3_2_1_25_1","unstructured":"J. Ma , W. Gao , Z. Wei , Y. Lu , and KF. Wong . 2015. Detect rumors using time series of social context information on microblogging websites . In Proc. CIKM. 1751--1754 . J. Ma, W. Gao, Z. Wei, Y. Lu, and KF. Wong. 2015. Detect rumors using time series of social context information on microblogging websites. In Proc. CIKM. 1751--1754."},{"volume-title":"Proc. ACL . 708--717","author":"Ma J.","key":"e_1_3_2_1_26_1","unstructured":"J. Ma , W. Gao , and KF. Wong . 2017. Detect Rumors in Microblog Posts Using Propagation Structure via Kernel Learning . In Proc. ACL . 708--717 . J. Ma, W. Gao, and KF. Wong. 2017. Detect Rumors in Microblog Posts Using Propagation Structure via Kernel Learning. In Proc. ACL . 708--717."},{"key":"e_1_3_2_1_27_1","first-page":"965","article-title":"Safety Information Mining-What can NLP do in a disaster-","volume":"11","author":"Neubig G.","year":"2011","unstructured":"G. Neubig , Y. Matsubayashi , M. Hagiwara , and K. Murakami . 2011 . Safety Information Mining-What can NLP do in a disaster- .. In IJCNLP , Vol. 11. 965 -- 973 . G. Neubig, Y. Matsubayashi, M. Hagiwara, and K. Murakami. 2011. Safety Information Mining-What can NLP do in a disaster-.. In IJCNLP , Vol. 11. 965--973.","journal-title":"IJCNLP"},{"volume-title":"Proc. PAKDD. 64--75","author":"Nguyen MT.","key":"e_1_3_2_1_28_1","unstructured":"MT. Nguyen , A. Kitamoto , and TT. Nguyen . 2015a. Tsum4act: A framework for retrieving and summarizing actionable tweets during a disaster for reaction . In Proc. PAKDD. 64--75 . MT. Nguyen, A. Kitamoto, and TT. Nguyen. 2015a. Tsum4act: A framework for retrieving and summarizing actionable tweets during a disaster for reaction. In Proc. PAKDD. 64--75."},{"volume-title":"Proc. PAKDD. 64--75","author":"Nguyen MT.","key":"e_1_3_2_1_29_1","unstructured":"MT. Nguyen , A. Kitamoto , and TT. Nguyen . 2015b. TSum4act: A Framework for Retrieving and Summarizing Actionable Tweets During a Disaster for Reaction . In Proc. PAKDD. 64--75 . MT. Nguyen, A. Kitamoto, and TT. Nguyen. 2015b. TSum4act: A Framework for Retrieving and Summarizing Actionable Tweets During a Disaster for Reaction. In Proc. PAKDD. 64--75."},{"key":"e_1_3_2_1_30_1","volume-title":"LIWC2007: Linguistic inquiry and word count","author":"Pennebaker JW.","year":"2007","unstructured":"JW. Pennebaker , RJ. Booth , and ME. Francis . 2007 . LIWC2007: Linguistic inquiry and word count . Austin, Texas : liwc. net ( 2007 ). JW. Pennebaker, RJ. Booth, and ME. Francis. 2007. LIWC2007: Linguistic inquiry and word count. Austin, Texas: liwc. net (2007)."},{"volume-title":"Proc. CSCW. 25--34","author":"Qu Y.","key":"e_1_3_2_1_31_1","unstructured":"Y. Qu , C. Huang , P. Zhang , and J. Zhang . 2011. Microblogging after a major disaster in China: a case study of the 2010 Yushu earthquake . In Proc. CSCW. 25--34 . Y. Qu, C. Huang, P. Zhang, and J. Zhang. 2011. Microblogging after a major disaster in China: a case study of the 2010 Yushu earthquake. In Proc. CSCW. 25--34."},{"volume-title":"Proc. CIKM. 797--806","author":"Ruchansky N.","key":"e_1_3_2_1_32_1","unstructured":"N. Ruchansky , S. Seo , and Y. Liu . 2017. CSI: A Hybrid Deep Model for Fake News Detection . In Proc. CIKM. 797--806 . N. Ruchansky, S. Seo, and Y. Liu. 2017. CSI: A Hybrid Deep Model for Fake News Detection. In Proc. CIKM. 797--806."},{"volume-title":"Proc. HT. 137--147","author":"Rudra K.","key":"e_1_3_2_1_33_1","unstructured":"K. Rudra , S. Banerjee , N. Ganguly , P. Goyal , M. Imran , and P. Mitra . 2016. Summarizing Situational Tweets in Crisis Scenario . In Proc. HT. 137--147 . K. Rudra, S. Banerjee, N. Ganguly, P. Goyal, M. Imran, and P. Mitra. 2016. Summarizing Situational Tweets in Crisis Scenario. In Proc. HT. 137--147."},{"volume-title":"Proc. CIKM. 583--592","author":"Rudra K.","key":"e_1_3_2_1_34_1","unstructured":"K. Rudra , S. Ghosh , N. Ganguly , P. Goyal , and S. Ghosh . 2015. Extracting situational information from microblogs during disaster events: a classification-summarization approach . In Proc. CIKM. 583--592 . K. Rudra, S. Ghosh, N. Ganguly, P. Goyal, and S. Ghosh. 2015. Extracting situational information from microblogs during disaster events: a classification-summarization approach. In Proc. CIKM. 583--592."},{"volume-title":"Proc. SIGIR. 265--274","author":"Rudra K.","key":"e_1_3_2_1_35_1","unstructured":"K. Rudra , P. Goyal , N. Ganguly , P. Mitra , and M. Imran . 2018. Identifying Sub-events and Summarizing Disaster-Related Information from Microblogs . In Proc. SIGIR. 265--274 . K. Rudra, P. Goyal, N. Ganguly, P. Mitra, and M. Imran. 2018. Identifying Sub-events and Summarizing Disaster-Related Information from Microblogs. In Proc. SIGIR. 265--274."},{"key":"e_1_3_2_1_36_1","first-page":"1","article-title":"Engage Early, Correct More: How Journalists Participate in False Rumors Online During Crisis Events","volume":"105","author":"Starbird K.","year":"2018","unstructured":"K. Starbird , D. Dailey , O. Mohamed , G. Lee , and E. Spiro . 2018 . Engage Early, Correct More: How Journalists Participate in False Rumors Online During Crisis Events . In Proc. CHI. 105 : 1 -- 105 :12. K. Starbird, D. Dailey, O. Mohamed, G. Lee, and E. Spiro. 2018. Engage Early, Correct More: How Journalists Participate in False Rumors Online During Crisis Events. In Proc. CHI. 105:1--105:12.","journal-title":"Proc. CHI."},{"volume-title":"Asia-Pacific Web Conference . 120--131","author":"Sun S.","key":"e_1_3_2_1_37_1","unstructured":"S. Sun , H. Liu , J. He , and X. Du . 2013. Detecting event rumors on sina weibo automatically . In Asia-Pacific Web Conference . 120--131 . S. Sun, H. Liu, J. He, and X. Du. 2013. Detecting event rumors on sina weibo automatically. In Asia-Pacific Web Conference . 120--131."},{"volume-title":"Proc. ACL .","author":"Tai KS.","key":"e_1_3_2_1_38_1","unstructured":"KS. Tai , R. Socher , and CD. Manning . 2015. Improved semantic representations from tree-structured long short-term memory networks . In Proc. ACL . KS. Tai, R. Socher, and CD. Manning. 2015. Improved semantic representations from tree-structured long short-term memory networks. In Proc. ACL ."},{"volume-title":"Proc. SIGCHI. 1079--1088","author":"Vieweg S.","key":"e_1_3_2_1_39_1","unstructured":"S. Vieweg , A. L. Hughes , K. Starbird , and L. Palen . 2010. Microblogging During Two Natural Hazards Events: What Twitter May Contribute to Situational Awareness . In Proc. SIGCHI. 1079--1088 . S. Vieweg, A. L. Hughes, K. Starbird, and L. Palen. 2010. Microblogging During Two Natural Hazards Events: What Twitter May Contribute to Situational Awareness. In Proc. SIGCHI. 1079--1088."},{"volume-title":"Proc. EMNLP . 2596--2601","author":"Vlachos A.","key":"e_1_3_2_1_40_1","unstructured":"A. Vlachos and S. Riedel . 2015. Identification and verification of simple claims about statistical properties . In Proc. EMNLP . 2596--2601 . A. Vlachos and S. Riedel. 2015. Identification and verification of simple claims about statistical properties. In Proc. EMNLP . 2596--2601."},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210037"},{"volume-title":"Proc. WSDM. 637--645","author":"Wu L.","key":"e_1_3_2_1_42_1","unstructured":"L. Wu and H. Liu . 2018. Tracing fake-news footprints: Characterizing social media messages by how they propagate . In Proc. WSDM. 637--645 . L. Wu and H. Liu. 2018. Tracing fake-news footprints: Characterizing social media messages by how they propagate. In Proc. WSDM. 637--645."},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.14778\/2732286.2732295"},{"volume-title":"Proceedings of the ACM SIGKDD Workshop on Mining Data Semantics. 13","author":"Yang F.","key":"e_1_3_2_1_44_1","unstructured":"F. Yang , Y. Liu , X. Yu , and M. Yang . 2012. Automatic detection of rumor on sina weibo . In Proceedings of the ACM SIGKDD Workshop on Mining Data Semantics. 13 . F. Yang, Y. Liu, X. Yu, and M. Yang. 2012. Automatic detection of rumor on sina weibo. In Proceedings of the ACM SIGKDD Workshop on Mining Data Semantics. 13."},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"crossref","unstructured":"L. Zeng K. Starbird and E. Spiro. 2016a. Rumors at the speed of light? Modeling the rate of rumor transmission during crisis. In System Sciences (Proc. HICSSS. 1969--1978.  L. Zeng K. Starbird and E. Spiro. 2016a. Rumors at the speed of light? Modeling the rate of rumor transmission during crisis. In System Sciences (Proc. HICSSS. 1969--1978.","DOI":"10.1109\/HICSS.2016.248"},{"volume-title":"Proc. ICWSM. 747--750","author":"Zeng L.","key":"e_1_3_2_1_46_1","unstructured":"L. Zeng , K. Starbird , and E. Spiro . 2016b. #Unconfirmed: Classifying Rumor Stance in Crisis-Related Social Media Messages . In Proc. ICWSM. 747--750 . L. Zeng, K. Starbird, and E. Spiro. 2016b. #Unconfirmed: Classifying Rumor Stance in Crisis-Related Social Media Messages. In Proc. ICWSM. 747--750."},{"volume-title":"Proc. WWW . 1395--1405","author":"Zhao Z.","key":"e_1_3_2_1_47_1","unstructured":"Z. Zhao , P. Resnick , and Q. Mei . 2015. Enquiring minds: Early detection of rumors in social media from enquiry posts . In Proc. WWW . 1395--1405 . Z. Zhao, P. Resnick, and Q. Mei. 2015. Enquiring minds: Early detection of rumors in social media from enquiry posts. In Proc. WWW . 1395--1405."},{"volume-title":"Exploiting Context for Rumour Detection in Social Media. In International Conference on Social Informatics. 109--123","author":"Zubiaga A.","key":"e_1_3_2_1_48_1","unstructured":"A. Zubiaga , M. Liakata , and R. Procter . 2017 . Exploiting Context for Rumour Detection in Social Media. In International Conference on Social Informatics. 109--123 . A. Zubiaga, M. Liakata, and R. Procter. 2017. Exploiting Context for Rumour Detection in Social Media. In International Conference on Social Informatics. 109--123."},{"volume-title":"Proc. WWW . 347--353","author":"Zubiaga A.","key":"e_1_3_2_1_49_1","unstructured":"A. Zubiaga , M. Liakata , R. Procter , K. Bontcheva , and P. Tolmie . 2015. Crowdsourcing the annotation of rumourous conversations in social media . In Proc. WWW . 347--353 . A. Zubiaga, M. Liakata, R. Procter, K. Bontcheva, and P. Tolmie. 2015. Crowdsourcing the annotation of rumourous conversations in social media. In Proc. WWW . 347--353."}],"event":{"name":"CIKM '19: The 28th ACM International Conference on Information and Knowledge Management","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"],"location":"Beijing China","acronym":"CIKM '19"},"container-title":["Proceedings of the 28th ACM International Conference on Information and Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3357384.3358020","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3357384.3358020","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:44:18Z","timestamp":1750203858000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3357384.3358020"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11,3]]},"references-count":49,"alternative-id":["10.1145\/3357384.3358020","10.1145\/3357384"],"URL":"https:\/\/doi.org\/10.1145\/3357384.3358020","relation":{},"subject":[],"published":{"date-parts":[[2019,11,3]]},"assertion":[{"value":"2019-11-03","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}