{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,8,5]],"date-time":"2022-08-05T04:33:36Z","timestamp":1659674016914},"publisher-location":"New York, NY, USA","reference-count":41,"publisher":"ACM","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,11,8]]},"DOI":"10.1145\/3487351.3488346","type":"proceedings-article","created":{"date-parts":[[2022,2,19]],"date-time":"2022-02-19T12:16:07Z","timestamp":1645272967000},"source":"Crossref","is-referenced-by-count":2,"title":["MMCoVaR"],"prefix":"10.1145","author":[{"given":"Mingxuan","family":"Chen","sequence":"first","affiliation":[{"name":"Stevens Institute of Technology"}]},{"given":"Xinqiao","family":"Chu","sequence":"additional","affiliation":[{"name":"Stevens Institute of Technology"}]},{"given":"K. P.","family":"Subbalakshmi","sequence":"additional","affiliation":[{"name":"Stevens Institute of Technology"}]}],"member":"320","published-online":{"date-parts":[[2022,1,19]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"WHO \"Who covid19 situation report \" https:\/\/covid19.who.int\/ 2021. WHO \"Who covid19 situation report \" https:\/\/covid19.who.int\/ 2021."},{"key":"e_1_3_2_1_2_1","unstructured":"UN \"Un misinformation report \" https:\/\/www.un.org\/en\/un-coronavirus-communications-team\/un-tackling-%E2%80%98infodemic%E2%80%99-misinformation-and-cybercrime-covid-19 2020. UN \"Un misinformation report \" https:\/\/www.un.org\/en\/un-coronavirus-communications-team\/un-tackling-%E2%80%98infodemic%E2%80%99-misinformation-and-cybercrime-covid-19 2020."},{"key":"e_1_3_2_1_3_1","volume-title":"Lall et al., \"Correcting covid-19 vaccine misinformation: Lancet commission on covid-19 vaccines and therapeutics task force members,\" EClinicalMedicine","author":"Hotez P.","year":"2021","unstructured":"P. Hotez , C. Batista , O. Ergonul , J. P. Figueroa , S. Gilbert , M. Gursel , M. Hassanain , G. Kang , J. H. Kim , B. Lall et al., \"Correcting covid-19 vaccine misinformation: Lancet commission on covid-19 vaccines and therapeutics task force members,\" EClinicalMedicine , vol. 33 , 2021 . P. Hotez, C. Batista, O. Ergonul, J. P. Figueroa, S. Gilbert, M. Gursel, M. Hassanain, G. Kang, J. H. Kim, B. Lall et al., \"Correcting covid-19 vaccine misinformation: Lancet commission on covid-19 vaccines and therapeutics task force members,\" EClinicalMedicine, vol. 33, 2021."},{"key":"e_1_3_2_1_4_1","volume-title":"Measuring the impact of exposure to covid-19 vaccine misinformation on vaccine intent in the uk and us,\" medRxiv","author":"Loomba S.","year":"2020","unstructured":"S. Loomba , A. de Figueiredo , S. Piatek , K. de Graaf , and H. J. Larson , \" Measuring the impact of exposure to covid-19 vaccine misinformation on vaccine intent in the uk and us,\" medRxiv , 2020 . S. Loomba, A. de Figueiredo, S. Piatek, K. de Graaf, and H. J. Larson, \"Measuring the impact of exposure to covid-19 vaccine misinformation on vaccine intent in the uk and us,\" medRxiv, 2020."},{"key":"e_1_3_2_1_5_1","first-page":"3205","volume-title":"ReCOVery: A multi-modal repository for covid-19 news credibility research,\" in Proceedings of the 29th ACM International Conference on Information & Knowledge Management","author":"Zhou X.","year":"2020","unstructured":"X. Zhou , A. Mulay , E. Ferrara , and R. Zafarani , \" ReCOVery: A multi-modal repository for covid-19 news credibility research,\" in Proceedings of the 29th ACM International Conference on Information & Knowledge Management , 2020 , pp. 3205 -- 3212 . X. Zhou, A. Mulay, E. Ferrara, and R. Zafarani, \"ReCOVery: A multi-modal repository for covid-19 news credibility research,\" in Proceedings of the 29th ACM International Conference on Information & Knowledge Management, 2020, pp. 3205--3212."},{"key":"e_1_3_2_1_6_1","unstructured":"A. F. Media \"Media bias chart \" https:\/\/www.adfontesmedia.com\/ 2021. A. F. Media \"Media bias chart \" https:\/\/www.adfontesmedia.com\/ 2021."},{"key":"e_1_3_2_1_7_1","unstructured":"MBFC \"Media bias\/fact check \" https:\/\/mediabiasfactcheck.com\/ 2021. MBFC \"Media bias\/fact check \" https:\/\/mediabiasfactcheck.com\/ 2021."},{"key":"e_1_3_2_1_8_1","volume-title":"Merrill et al., \"Cord-19: The covid-19 open research dataset,\" ArXiv","author":"Wang L. L.","year":"2020","unstructured":"L. L. Wang , K. Lo , Y. Chandrasekhar , R. Reas , J. Yang , D. Eide , K. Funk , R. Kinney , Z. Liu , W. Merrill et al., \"Cord-19: The covid-19 open research dataset,\" ArXiv , 2020 . L. L. Wang, K. Lo, Y. Chandrasekhar, R. Reas, J. Yang, D. Eide, K. Funk, R. Kinney, Z. Liu, W. Merrill et al., \"Cord-19: The covid-19 open research dataset,\" ArXiv, 2020."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2020.106754"},{"key":"e_1_3_2_1_10_1","volume-title":"Exploratory analysis of covid-19 tweets using topic modeling, umap, and digraphs,\" arXiv preprint arXiv:2005.03082","author":"Ordun C.","year":"2020","unstructured":"C. Ordun , S. Purushotham , and E. Raff , \" Exploratory analysis of covid-19 tweets using topic modeling, umap, and digraphs,\" arXiv preprint arXiv:2005.03082 , 2020 . C. Ordun, S. Purushotham, and E. Raff, \"Exploratory analysis of covid-19 tweets using topic modeling, umap, and digraphs,\" arXiv preprint arXiv:2005.03082, 2020."},{"key":"e_1_3_2_1_11_1","unstructured":"R. Lamsal \"Design and analysis of a large-scale covid-19 tweets dataset \" Applied Intelligence pp. 1--15 2020. R. Lamsal \"Design and analysis of a large-scale covid-19 tweets dataset \" Applied Intelligence pp. 1--15 2020."},{"key":"e_1_3_2_1_12_1","volume-title":"Coronavis: A real-time covid-19 tweets data analyzer and data repository,\" arXiv preprint arXiv:2004.13932","author":"Kabir M. Y.","year":"2020","unstructured":"M. Y. Kabir and S. Madria , \" Coronavis: A real-time covid-19 tweets data analyzer and data repository,\" arXiv preprint arXiv:2004.13932 , 2020 . M. Y. Kabir and S. Madria, \"Coronavis: A real-time covid-19 tweets data analyzer and data repository,\" arXiv preprint arXiv:2004.13932, 2020."},{"key":"e_1_3_2_1_13_1","volume-title":"Geocov19: a dataset of hundreds of millions of multilingual covid-19 tweets with location information,\" SIGSPATIAL Special","author":"Qazi U.","unstructured":"U. Qazi , M. Imran , and F. Ofli , \" Geocov19: a dataset of hundreds of millions of multilingual covid-19 tweets with location information,\" SIGSPATIAL Special , vol. 12 , no. 1, pp. 6--15, 2020. U. Qazi, M. Imran, and F. Ofli, \"Geocov19: a dataset of hundreds of millions of multilingual covid-19 tweets with location information,\" SIGSPATIAL Special, vol. 12, no. 1, pp. 6--15, 2020."},{"key":"e_1_3_2_1_14_1","volume-title":"Covaxxy: A global collection of english twitter posts about covid-19 vaccines,\" arXiv preprint arXiv:2101.07694","author":"DeVerna M.","year":"2021","unstructured":"M. DeVerna , F. Pierri , B. Truong , J. Bollenbacher , D. Axelrod , N. Loynes , C. Torres-Lugo , K.-C. Yang , F. Menczer , and J. Bryden , \" Covaxxy: A global collection of english twitter posts about covid-19 vaccines,\" arXiv preprint arXiv:2101.07694 , 2021 . M. DeVerna, F. Pierri, B. Truong, J. Bollenbacher, D. Axelrod, N. Loynes, C. Torres-Lugo, K.-C. Yang, F. Menczer, and J. Bryden, \"Covaxxy: A global collection of english twitter posts about covid-19 vaccines,\" arXiv preprint arXiv:2101.07694, 2021."},{"key":"e_1_3_2_1_15_1","volume-title":"Characterizing covid-19 misinformation communities using a novel twitter dataset,\" arXiv preprint arXiv:2008.00791","author":"Memon S. A.","year":"2020","unstructured":"S. A. Memon and K. M. Carley , \" Characterizing covid-19 misinformation communities using a novel twitter dataset,\" arXiv preprint arXiv:2008.00791 , 2020 . S. A. Memon and K. M. Carley, \"Characterizing covid-19 misinformation communities using a novel twitter dataset,\" arXiv preprint arXiv:2008.00791, 2020."},{"key":"e_1_3_2_1_16_1","volume-title":"Fighting an infodemic: Covid-19 fake news dataset,\" arXiv preprint arXiv:2011.03327","author":"Patwa P.","year":"2020","unstructured":"P. Patwa , S. Sharma , S. PYKL, V. Guptha , G. Kumari , M. S. Akhtar , A. Ekbal , A. Das , and T. Chakraborty , \" Fighting an infodemic: Covid-19 fake news dataset,\" arXiv preprint arXiv:2011.03327 , 2020 . P. Patwa, S. Sharma, S. PYKL, V. Guptha, G. Kumari, M. S. Akhtar, A. Ekbal, A. Das, and T. Chakraborty, \"Fighting an infodemic: Covid-19 fake news dataset,\" arXiv preprint arXiv:2011.03327, 2020."},{"key":"e_1_3_2_1_17_1","volume-title":"Coaid: Covid-19 healthcare misinformation dataset,\" arXiv preprint arXiv:2006.00885","author":"Cui L.","year":"2020","unstructured":"L. Cui and D. Lee , \" Coaid: Covid-19 healthcare misinformation dataset,\" arXiv preprint arXiv:2006.00885 , 2020 . L. Cui and D. Lee, \"Coaid: Covid-19 healthcare misinformation dataset,\" arXiv preprint arXiv:2006.00885, 2020."},{"key":"e_1_3_2_1_18_1","volume-title":"Mm-covid: A multilingual and multimodal data repository for combating covid-19 disinformation,\" arXiv preprint arXiv:2011.04088","author":"Li Y.","year":"2020","unstructured":"Y. Li , B. Jiang , K. Shu , and H. Liu , \" Mm-covid: A multilingual and multimodal data repository for combating covid-19 disinformation,\" arXiv preprint arXiv:2011.04088 , 2020 . Y. Li, B. Jiang, K. Shu, and H. Liu, \"Mm-covid: A multilingual and multimodal data repository for combating covid-19 disinformation,\" arXiv preprint arXiv:2011.04088, 2020."},{"key":"e_1_3_2_1_19_1","volume-title":"Covidlies: Detecting covid-19 misinformation on social media,\" in Proceedings of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP","author":"Hossain T.","year":"2020","unstructured":"T. Hossain , R. L. Logan IV, A. Ugarte , Y. Matsubara , S. Young , and S. Singh , \" Covidlies: Detecting covid-19 misinformation on social media,\" in Proceedings of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020 , 2020. T. Hossain, R. L. Logan IV, A. Ugarte, Y. Matsubara, S. Young, and S. Singh, \"Covidlies: Detecting covid-19 misinformation on social media,\" in Proceedings of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020, 2020."},{"key":"e_1_3_2_1_20_1","volume-title":"Bertscore: Evaluating text generation with bert,\" arXiv preprint arXiv:1904.09675","author":"Zhang T.","year":"2019","unstructured":"T. Zhang , V. Kishore , F. Wu , K. Q. Weinberger , and Y. Artzi , \" Bertscore: Evaluating text generation with bert,\" arXiv preprint arXiv:1904.09675 , 2019 . T. Zhang, V. Kishore, F. Wu, K. Q. Weinberger, and Y. Artzi, \"Bertscore: Evaluating text generation with bert,\" arXiv preprint arXiv:1904.09675, 2019."},{"key":"e_1_3_2_1_21_1","volume-title":"Article scraping and curation","author":"Ou-Yang L.","year":"2020","unstructured":"L. Ou-Yang , \"Newspaper3k : Article scraping and curation ,\" 2020 . [Online]. Available: https:\/\/github.com\/codelucas\/newspaper L. Ou-Yang, \"Newspaper3k: Article scraping and curation,\" 2020. [Online]. Available: https:\/\/github.com\/codelucas\/newspaper"},{"key":"e_1_3_2_1_22_1","unstructured":"Twitter \"Twitter developer api \" https:\/\/developer.twitter.com\/en\/docs\/twitter-api 2021. Twitter \"Twitter developer api \" https:\/\/developer.twitter.com\/en\/docs\/twitter-api 2021."},{"key":"e_1_3_2_1_23_1","volume-title":"A retrospective analysis of the fake news challenge stance detection task,\" arXiv preprint arXiv:1806.05180","author":"Hanselowski A.","year":"2018","unstructured":"A. Hanselowski , A. PVS, B. Schiller , F. Caspelherr , D. Chaudhuri , C. M. Meyer , and I. Gurevych , \" A retrospective analysis of the fake news challenge stance detection task,\" arXiv preprint arXiv:1806.05180 , 2018 . A. Hanselowski, A. PVS, B. Schiller, F. Caspelherr, D. Chaudhuri, C. M. Meyer, and I. Gurevych, \"A retrospective analysis of the fake news challenge stance detection task,\" arXiv preprint arXiv:1806.05180, 2018."},{"key":"e_1_3_2_1_24_1","volume-title":"Useful or useless?\" IEEE transactions on professional communication","author":"McClure G. M.","unstructured":"G. M. McClure , \"Readability formulas : Useful or useless?\" IEEE transactions on professional communication , vol. 00 , no. 1, pp. 12--15, 1987. G. M. McClure, \"Readability formulas: Useful or useless?\" IEEE transactions on professional communication, vol. 00, no. 1, pp. 12--15, 1987."},{"key":"e_1_3_2_1_25_1","first-page":"012120","volume":"978","author":"Gunawan D.","year":"2018","unstructured":"D. Gunawan , C. Sembiring , and M. Budiman , \"The implementation of cosine similarity to calculate text relevance between two documents,\" in Journal of Physics: Conference Series , vol. 978 . IOP Publishing, 2018 , p. 012120 . D. Gunawan, C. Sembiring, and M. Budiman, \"The implementation of cosine similarity to calculate text relevance between two documents,\" in Journal of Physics: Conference Series, vol. 978. IOP Publishing, 2018, p. 012120.","journal-title":"\"The implementation of cosine similarity to calculate text relevance between two documents,\" in Journal of Physics: Conference Series"},{"key":"e_1_3_2_1_26_1","volume-title":"Performing stance detection on twitter data using computational linguistics techniques,\" arXiv preprint arXiv:1703.02019","author":"Shenoy G. G.","year":"2017","unstructured":"G. G. Shenoy , E. H. Dsouza , and S. K\u00fcbler , \" Performing stance detection on twitter data using computational linguistics techniques,\" arXiv preprint arXiv:1703.02019 , 2017 . G. G. Shenoy, E. H. Dsouza, and S. K\u00fcbler, \"Performing stance detection on twitter data using computational linguistics techniques,\" arXiv preprint arXiv:1703.02019, 2017."},{"key":"e_1_3_2_1_27_1","unstructured":"Twitter \"Twitter developer policy \" https:\/\/developer.twitter.com\/en\/developer-terms\/agreement-and-policy 2021. Twitter \"Twitter developer policy \" https:\/\/developer.twitter.com\/en\/developer-terms\/agreement-and-policy 2021."},{"key":"e_1_3_2_1_28_1","unstructured":"Github \"Twarc \" https:\/\/github.com\/DocNow\/twarc 2021. Github \"Twarc \" https:\/\/github.com\/DocNow\/twarc 2021."},{"key":"e_1_3_2_1_29_1","unstructured":"GitHub \"Hydrator \" https:\/\/github.com\/DocNow\/hydrator 2021. GitHub \"Hydrator \" https:\/\/github.com\/DocNow\/hydrator 2021."},{"key":"e_1_3_2_1_30_1","volume-title":"MMCoVaR: Multimodal COVID-19 vaccine focused data repository,\" https:\/\/drive.google.com\/drive\/folders\/1LGfD0mdup7va_SME0sncg-h3ADoCZyEZ?usp=sharing","author":"Chen M.","year":"2021","unstructured":"M. Chen , X. Chu , and K.P. Subbalakshmi , \" MMCoVaR: Multimodal COVID-19 vaccine focused data repository,\" https:\/\/drive.google.com\/drive\/folders\/1LGfD0mdup7va_SME0sncg-h3ADoCZyEZ?usp=sharing , 2021 . M. Chen, X. Chu, and K.P. Subbalakshmi, \"MMCoVaR: Multimodal COVID-19 vaccine focused data repository,\" https:\/\/drive.google.com\/drive\/folders\/1LGfD0mdup7va_SME0sncg-h3ADoCZyEZ?usp=sharing, 2021."},{"key":"e_1_3_2_1_31_1","volume-title":"products Regulatory Agency, \"Vaccine bnt162b2 - conditions of authorisation under regulation 174 - 2 december","author":"M.","year":"2020","unstructured":"M. H. products Regulatory Agency, \"Vaccine bnt162b2 - conditions of authorisation under regulation 174 - 2 december 2020 , amended on 30 december 2020, 28 January 2021 and 30 march 2021,\" https:\/\/www.gov.uk\/government\/publications\/regulatory-approval-of-pfizer-biontech-vaccine-for-covid-19\/conditions-of-authorisation-for-pfizerbiontech-covid-19-vaccine, 2021. M. H. products Regulatory Agency, \"Vaccine bnt162b2 - conditions of authorisation under regulation 174 - 2 december 2020, amended on 30 december 2020, 28 January 2021 and 30 march 2021,\" https:\/\/www.gov.uk\/government\/publications\/regulatory-approval-of-pfizer-biontech-vaccine-for-covid-19\/conditions-of-authorisation-for-pfizerbiontech-covid-19-vaccine, 2021."},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.5555\/944919.944937"},{"key":"e_1_3_2_1_33_1","volume-title":"Longformer: The long-document transformer,\" arXiv preprint arXiv:2004.05150","author":"Beltagy I.","year":"2020","unstructured":"I. Beltagy , M. E. Peters , and A. Cohan , \" Longformer: The long-document transformer,\" arXiv preprint arXiv:2004.05150 , 2020 . I. Beltagy, M. E. Peters, and A. Cohan, \"Longformer: The long-document transformer,\" arXiv preprint arXiv:2004.05150, 2020."},{"key":"e_1_3_2_1_34_1","first-page":"5998","volume-title":"Attention is all you need,\" in Advances in neural information processing systems","author":"Vaswani A.","year":"2017","unstructured":"A. Vaswani , N. Shazeer , N. Parmar , J. Uszkoreit , L. Jones , A. N. Gomez , \u0141. Kaiser, and I. Polosukhin , \" Attention is all you need,\" in Advances in neural information processing systems , 2017 , pp. 5998 -- 6008 . A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, \u0141. Kaiser, and I. Polosukhin, \"Attention is all you need,\" in Advances in neural information processing systems, 2017, pp. 5998--6008."},{"key":"e_1_3_2_1_35_1","volume-title":"Explainable rumor detection using inter and intra-feature attention networks,\" KDD TrueFact Conference","author":"Chen M.","year":"2020","unstructured":"M. Chen , N. Wang , and K. Subbalakshmi , \" Explainable rumor detection using inter and intra-feature attention networks,\" KDD TrueFact Conference , 2020 . M. Chen, N. Wang, and K. Subbalakshmi, \"Explainable rumor detection using inter and intra-feature attention networks,\" KDD TrueFact Conference, 2020."},{"key":"e_1_3_2_1_36_1","unstructured":"S. Ruder \"An overview of gradient descent optimization algorithms \" arXiv preprint arXiv:1609.04747 2016. S. Ruder \"An overview of gradient descent optimization algorithms \" arXiv preprint arXiv:1609.04747 2016."},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.3115\/1118108.1118117"},{"issue":"2","key":"e_1_3_2_1_38_1","first-page":"407","volume":"49","author":"Fraser K. C.","year":"2016","unstructured":"K. C. Fraser , J. A. Meltzer , and F. Rudzicz , \"Linguistic features identify alzheimer's disease in narrative speech,\" Journal of Alzheimer's Disease , vol. 49 , no. 2 , pp. 407 -- 422 , 2016 . K. C. Fraser, J. A. Meltzer, and F. Rudzicz, \"Linguistic features identify alzheimer's disease in narrative speech,\" Journal of Alzheimer's Disease, vol. 49, no. 2, pp. 407--422, 2016.","journal-title":"\"Linguistic features identify alzheimer's disease in narrative speech,\" Journal of Alzheimer's Disease"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1002\/9781118548387"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.5555\/1953048.2078195"},{"key":"e_1_3_2_1_41_1","volume-title":"A survey of decision tree classifier methodology,\" IEEE transactions on systems, man, and cybernetics","author":"Safavian S. R.","unstructured":"S. R. Safavian and D. Landgrebe , \" A survey of decision tree classifier methodology,\" IEEE transactions on systems, man, and cybernetics , vol. 21 , no. 3, pp. 660--674, 1991. S. R. Safavian and D. Landgrebe, \"A survey of decision tree classifier methodology,\" IEEE transactions on systems, man, and cybernetics, vol. 21, no. 3, pp. 660--674, 1991."}],"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\/pdf\/10.1145\/3487351.3488346","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,3,9]],"date-time":"2022-03-09T01:46:06Z","timestamp":1646790366000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3487351.3488346"}},"subtitle":["multimodal COVID-19 vaccine focused data repository for fake news detection and a baseline architecture for classification"],"short-title":[],"issued":{"date-parts":[[2021,11,8]]},"references-count":41,"alternative-id":["10.1145\/3487351.3488346","10.1145\/3487351"],"URL":"http:\/\/dx.doi.org\/10.1145\/3487351.3488346","relation":{},"published":{"date-parts":[[2021,11,8]]}}}