{"id":"https://openalex.org/W3017092278","doi":"https://doi.org/10.1109/tbdata.2020.2996401","title":"Sense and Sensibility: Characterizing Social Media Users Regarding the Use of Controversial Terms for COVID-19","display_name":"Sense and Sensibility: Characterizing Social Media Users Regarding the Use of Controversial Terms for COVID-19","publication_year":2020,"publication_date":"2020-05-21","ids":{"openalex":"https://openalex.org/W3017092278","doi":"https://doi.org/10.1109/tbdata.2020.2996401","mag":"3017092278","pmid":"https://pubmed.ncbi.nlm.nih.gov/35582463"},"language":"en","primary_location":{"id":"doi:10.1109/tbdata.2020.2996401","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2020.2996401","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2004.06307","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Hanjia Lyu","orcid":"https://orcid.org/0000-0002-3876-0094"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]},{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hanjia Lyu","raw_affiliation_strings":["Goergen Institute for Data ScienceUniversity of Rochester Rochester NY 14627 USA"],"affiliations":[{"raw_affiliation_string":"Goergen Institute for Data ScienceUniversity of Rochester Rochester NY 14627 USA","institution_ids":["https://openalex.org/I155173764","https://openalex.org/I5388228"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Long Chen","orcid":"https://orcid.org/0000-0003-3772-4929"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Long Chen","raw_affiliation_strings":["Department of Computer ScienceUniversity of Rochester Rochester NY 14627 USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer ScienceUniversity of Rochester Rochester NY 14627 USA","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yu Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Wang","raw_affiliation_strings":["Department of Political ScienceUniversity of Rochester Rochester NY 14627 USA"],"affiliations":[{"raw_affiliation_string":"Department of Political ScienceUniversity of Rochester Rochester NY 14627 USA","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"last","author":{"id":null,"display_name":"Jiebo Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiebo Luo","raw_affiliation_strings":["Department of Computer ScienceUniversity of Rochester Rochester NY 14627 USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer ScienceUniversity of Rochester Rochester NY 14627 USA","institution_ids":["https://openalex.org/I5388228"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I155173764","https://openalex.org/I5388228"],"apc_list":null,"apc_paid":null,"fwci":13.8083,"has_fulltext":false,"cited_by_count":44,"citation_normalized_percentile":{"value":0.98724478,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"7","issue":"6","first_page":"952","last_page":"960"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.7437999844551086,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.7437999844551086,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.03849999979138374,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.025599999353289604,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.745199978351593},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.4456000030040741},{"id":"https://openalex.org/keywords/politics","display_name":"Politics","score":0.38749998807907104},{"id":"https://openalex.org/keywords/social-media-analytics","display_name":"Social media analytics","score":0.3628000020980835},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.3569999933242798},{"id":"https://openalex.org/keywords/pandemic","display_name":"Pandemic","score":0.3343999981880188}],"concepts":[{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.745199978351593},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7163000106811523},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.6643999814987183},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4733000099658966},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.4456000030040741},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4237000048160553},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.38749998807907104},{"id":"https://openalex.org/C2778729106","wikidata":"https://www.wikidata.org/wiki/Q1140126","display_name":"Social media analytics","level":3,"score":0.3628000020980835},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.3569999933242798},{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.3343999981880188},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3077999949455261},{"id":"https://openalex.org/C2776552730","wikidata":"https://www.wikidata.org/wiki/Q189656","display_name":"Disinformation","level":3,"score":0.3043999969959259},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.29179999232292175},{"id":"https://openalex.org/C2984870255","wikidata":"https://www.wikidata.org/wiki/Q5196451","display_name":"User engagement","level":2,"score":0.29120001196861267}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tbdata.2020.2996401","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2020.2996401","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Big Data","raw_type":"journal-article"},{"id":"pmid:35582463","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35582463","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on big data","raw_type":null},{"id":"pmh:oai:arXiv.org:2004.06307","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2004.06307","pdf_url":"https://arxiv.org/pdf/2004.06307","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8851431","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8851431","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Big Data","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2004.06307","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2004.06307","pdf_url":"https://arxiv.org/pdf/2004.06307","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1498404717","https://openalex.org/W1966496456","https://openalex.org/W1981229576","https://openalex.org/W2005008227","https://openalex.org/W2012931896","https://openalex.org/W2031274646","https://openalex.org/W2062350780","https://openalex.org/W2129706758","https://openalex.org/W2159913532","https://openalex.org/W2473555522","https://openalex.org/W2573299851","https://openalex.org/W2584084362","https://openalex.org/W2654226624","https://openalex.org/W2753411189","https://openalex.org/W2762633747","https://openalex.org/W2787037992","https://openalex.org/W2811308962","https://openalex.org/W2906660424","https://openalex.org/W2914892183","https://openalex.org/W2946496563","https://openalex.org/W3009625718","https://openalex.org/W3010729260","https://openalex.org/W3013874785","https://openalex.org/W6607443979","https://openalex.org/W6634397775","https://openalex.org/W6684102810","https://openalex.org/W6687381822","https://openalex.org/W6692192102","https://openalex.org/W6697497428","https://openalex.org/W6732175632","https://openalex.org/W6750410993"],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,13,34,105,120,130,137,153,188],"world-wide":[2],"development":[3],"of":[4,31,47,132,144,155,202],"2019":[5],"novel":[6],"coronavirus,":[7],"although":[8],"WHO":[9],"has":[10],"officially":[11],"announced":[12],"disease":[14],"as":[15,71,160,162],"COVID-19,":[16,77],"one":[17],"controversial":[18,84,110,180,203],"term":[19],"-":[20],"\"Chinese":[21,87],"Virus\"":[22,88],"is":[23,187],"still":[24],"being":[25],"used":[26],"by":[27],"a":[28,206],"great":[29],"number":[30,154],"people.":[32],"In":[33,98],"meantime,":[35],"global":[36],"online":[37],"media":[38,68],"coverage":[39],"about":[40,64],"COVID-19-related":[41],"racial":[42],"attacks":[43],"increases":[44],"steadily,":[45],"most":[46],"which":[48],"are":[49,79,175],"anti-Chinese":[50],"or":[51,89,92],"anti-Asian.":[52],"As":[53],"this":[54,99,186],"pandemic":[55],"becomes":[56],"increasingly":[57],"severe,":[58],"more":[59,176],"people":[60],"start":[61],"to":[62,76,103,123,170,178,194,199],"talk":[63],"it":[65],"on":[66],"social":[67,191],"platforms":[69],"such":[70],"Twitter.":[72],"When":[73],"they":[74],"refer":[75],"there":[78],"mainly":[80],"two":[81,142],"ways:":[82],"using":[83,93],"terms":[85,95,111,204],"like":[86,96,152],"\"Wuhan":[90],"Virus\",":[91],"non-controversial":[94,116],"\"Coronavirus\".":[97],"article,":[100],"we":[101,166],"attempt":[102],"characterize":[104,195],"Twitter":[106,145,172],"users":[107,146,173,196],"who":[108,114,174],"use":[109,115,119,179],"and":[112,129],"those":[113],"terms.":[117,181],"We":[118,135],"Tweepy":[121],"API":[122],"retrieve":[124],"17":[125],"million":[126],"related":[127],"tweets":[128],"information":[131],"their":[133,148,163,200],"authors.":[134],"find":[136],"significant":[138],"differences":[139],"between":[140],"these":[141],"groups":[143],"across":[147],"demographics,":[149],"user-level":[150],"features":[151],"followers,":[156],"political":[157],"following":[158],"status,":[159],"well":[161],"geo-locations.":[164],"Moreover,":[165],"apply":[167],"classification":[168],"models":[169],"predict":[171],"likely":[177],"To":[182],"our":[183],"best":[184],"knowledge,":[185],"first":[189],"large-scale":[190],"media-based":[192],"study":[193],"with":[197],"respect":[198],"usage":[201],"during":[205],"major":[207],"crisis.":[208]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":9}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2020-04-24T00:00:00"}
