{"id":"https://openalex.org/W3005398181","doi":"https://doi.org/10.1109/bibm47256.2019.8983311","title":"Computational modeling of stigmatized behaviour in pro-vaccination and anti-vaccination discussions on social media","display_name":"Computational modeling of stigmatized behaviour in pro-vaccination and anti-vaccination discussions on social media","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3005398181","doi":"https://doi.org/10.1109/bibm47256.2019.8983311","mag":"3005398181"},"language":"en","primary_location":{"id":"doi:10.1109/bibm47256.2019.8983311","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm47256.2019.8983311","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065555311","display_name":"Nadiya Straton","orcid":"https://orcid.org/0000-0001-9335-7014"},"institutions":[{"id":"https://openalex.org/I180519160","display_name":"Copenhagen Business School","ror":"https://ror.org/04sppb023","country_code":"DK","type":"education","lineage":["https://openalex.org/I180519160"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Nadiya Straton","raw_affiliation_strings":["Centre for Business Data Analytics, Copenhagen Business School"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Business Data Analytics, Copenhagen Business School","institution_ids":["https://openalex.org/I180519160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046714396","display_name":"Hyeju Jang","orcid":"https://orcid.org/0000-0002-7652-1158"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hyeju Jang","raw_affiliation_strings":["Data Science Institute, University of British Columbia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Science Institute, University of British Columbia","institution_ids":["https://openalex.org/I141945490"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113567130","display_name":"Raymond T. Ng","orcid":"https://orcid.org/0000-0003-3692-8524"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Raymond Ng","raw_affiliation_strings":["Data Science Institute, University of British Columbia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Science Institute, University of British Columbia","institution_ids":["https://openalex.org/I141945490"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074288048","display_name":"Ravi Vatrapu","orcid":"https://orcid.org/0000-0002-9109-5281"},"institutions":[{"id":"https://openalex.org/I2800207870","display_name":"H\u00f8yskolen Kristiania","ror":"https://ror.org/03gss5916","country_code":"NO","type":"education","lineage":["https://openalex.org/I2800207870"]},{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]},{"id":"https://openalex.org/I75717288","display_name":"Rogers (United States)","ror":"https://ror.org/05m9vrv91","country_code":"US","type":"company","lineage":["https://openalex.org/I75717288"]}],"countries":["CA","NO","US"],"is_corresponding":false,"raw_author_name":"Ravi Vatrapu","raw_affiliation_strings":["Ted Rogers School of Management, Ryerson University, Kristiania University College,Dept. of Technology","Dept. of Technology, Ted Rogers School of Management, Ryerson University, Kristiania University College"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ted Rogers School of Management, Ryerson University, Kristiania University College,Dept. of Technology","institution_ids":["https://openalex.org/I2800207870","https://openalex.org/I530967","https://openalex.org/I75717288"]},{"raw_affiliation_string":"Dept. of Technology, Ted Rogers School of Management, Ryerson University, Kristiania University College","institution_ids":["https://openalex.org/I2800207870","https://openalex.org/I530967","https://openalex.org/I75717288"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010838527","display_name":"Raghava Rao Mukkamala","orcid":"https://orcid.org/0000-0001-9814-3883"},"institutions":[{"id":"https://openalex.org/I180519160","display_name":"Copenhagen Business School","ror":"https://ror.org/04sppb023","country_code":"DK","type":"education","lineage":["https://openalex.org/I180519160"]},{"id":"https://openalex.org/I2800207870","display_name":"H\u00f8yskolen Kristiania","ror":"https://ror.org/03gss5916","country_code":"NO","type":"education","lineage":["https://openalex.org/I2800207870"]}],"countries":["DK","NO"],"is_corresponding":false,"raw_author_name":"Raghava Rao Mukkamala","raw_affiliation_strings":["Centre for Business Data Analytics, Copenhagen Business School, Kristiania University College,Dept. of Technology","Dept. of Technology, Centre for Business Data Analytics, Copenhagen Business School, Kristiania University College"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Business Data Analytics, Copenhagen Business School, Kristiania University College,Dept. of Technology","institution_ids":["https://openalex.org/I180519160","https://openalex.org/I2800207870"]},{"raw_affiliation_string":"Dept. of Technology, Centre for Business Data Analytics, Copenhagen Business School, Kristiania University College","institution_ids":["https://openalex.org/I180519160","https://openalex.org/I2800207870"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":20.2821,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.98966027,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2673","last_page":"2681"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10833","display_name":"Vaccine Coverage and Hesitancy","score":0.9861999750137329,"subfield":{"id":"https://openalex.org/subfields/3306","display_name":"Health"},"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/T10833","display_name":"Vaccine Coverage and Hesitancy","score":0.9861999750137329,"subfield":{"id":"https://openalex.org/subfields/3306","display_name":"Health"},"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/T11795","display_name":"Humor Studies and Applications","score":0.9818999767303467,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9496999979019165,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.686068594455719},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5781823396682739},{"id":"https://openalex.org/keywords/stigma","display_name":"Stigma (botany)","score":0.5750641822814941},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5096166133880615},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.47506946325302124},{"id":"https://openalex.org/keywords/social-distance","display_name":"Social distance","score":0.47088131308555603},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.44602927565574646},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.44457632303237915},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.4135698974132538},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39667147397994995},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.35978779196739197},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.3508461117744446},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1719168722629547},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.16833895444869995},{"id":"https://openalex.org/keywords/psychiatry","display_name":"Psychiatry","score":0.10888245701789856}],"concepts":[{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.686068594455719},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5781823396682739},{"id":"https://openalex.org/C168285401","wikidata":"https://www.wikidata.org/wiki/Q1427245","display_name":"Stigma (botany)","level":2,"score":0.5750641822814941},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5096166133880615},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.47506946325302124},{"id":"https://openalex.org/C172656115","wikidata":"https://www.wikidata.org/wiki/Q2142613","display_name":"Social distance","level":5,"score":0.47088131308555603},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.44602927565574646},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.44457632303237915},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.4135698974132538},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39667147397994995},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35978779196739197},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.3508461117744446},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1719168722629547},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.16833895444869995},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.10888245701789856},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.0},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bibm47256.2019.8983311","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm47256.2019.8983311","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},{"id":"pmh:oai:research-api.cbs.dk:openaire_cris_publications/d5c1c7a0-5daf-4f48-b083-ec2d8068d0a6","is_oa":false,"landing_page_url":"https://research.cbs.dk/en/publications/d5c1c7a0-5daf-4f48-b083-ec2d8068d0a6","pdf_url":null,"source":{"id":"https://openalex.org/S4306401458","display_name":"CBS Research Portal (Copenhagen Business School)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I180519160","host_organization_name":"Copenhagen Business School","host_organization_lineage":["https://openalex.org/I180519160"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7699999809265137,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W56200336","https://openalex.org/W563294341","https://openalex.org/W1503154678","https://openalex.org/W1561412240","https://openalex.org/W1973157863","https://openalex.org/W1975879668","https://openalex.org/W1978894066","https://openalex.org/W1983916587","https://openalex.org/W2000585825","https://openalex.org/W2016200392","https://openalex.org/W2022768097","https://openalex.org/W2031451489","https://openalex.org/W2033659037","https://openalex.org/W2034328075","https://openalex.org/W2037789405","https://openalex.org/W2040866346","https://openalex.org/W2053154970","https://openalex.org/W2075410325","https://openalex.org/W2106114851","https://openalex.org/W2110632736","https://openalex.org/W2117485795","https://openalex.org/W2120802105","https://openalex.org/W2127629438","https://openalex.org/W2138023952","https://openalex.org/W2140910804","https://openalex.org/W2141766660","https://openalex.org/W2157216651","https://openalex.org/W2251631987","https://openalex.org/W2320621320","https://openalex.org/W2329342908","https://openalex.org/W2460585769","https://openalex.org/W2489406233","https://openalex.org/W2535284022","https://openalex.org/W2560678864","https://openalex.org/W2579101046","https://openalex.org/W2618892436","https://openalex.org/W2724341295","https://openalex.org/W2732050589","https://openalex.org/W2753122118","https://openalex.org/W2781812189","https://openalex.org/W2790353253","https://openalex.org/W2903590133","https://openalex.org/W2915177913","https://openalex.org/W2963403337","https://openalex.org/W4213367093","https://openalex.org/W6602311214","https://openalex.org/W6732437427","https://openalex.org/W6756642123"],"related_works":["https://openalex.org/W2165912799","https://openalex.org/W2735662278","https://openalex.org/W2361861616","https://openalex.org/W2382615723","https://openalex.org/W4405331580","https://openalex.org/W4311804456","https://openalex.org/W1987484445","https://openalex.org/W2623658258","https://openalex.org/W2143413548","https://openalex.org/W1969219540"],"abstract_inverted_index":{"Much":[0],"research":[1],"has":[2,51],"been":[3,52],"done":[4],"within":[5],"the":[6,10,46,73,89,115,158,163,180],"social":[7,63,80,149,159],"sciences":[8],"on":[9,16,54,79,88,94],"interpretation":[11],"and":[12,19,34,43,61,83,100,109,121,125,192,194,203],"influence":[13],"of":[14,57,148,157,165],"stigma":[15,58,77,177,188],"human":[17],"behaviour":[18],"health,":[20],"which":[21],"result":[22],"in":[23,59,62,66,127,145],"out-of-group":[24],"exclusion,":[25],"distancing,":[26],"cognitive":[27],"separation,":[28],"status":[29],"loss,":[30],"discrimination,":[31],"in-group":[32],"pressure,":[33],"often":[35],"lead":[36],"to":[37,40,129,186],"disengagement,":[38],"non-adherence":[39],"treatment":[41],"plan,":[42],"prescriptions":[44],"by":[45,106,110],"doctor.":[47],"However,":[48],"little":[49],"work":[50],"conducted":[53],"computational":[55,146],"identification":[56],"general":[60],"media":[64],"discourse":[65],"particular.":[67],"In":[68],"this":[69],"paper,":[70],"we":[71],"develop":[72],"annotation":[74,181],"scheme":[75,182],"for":[76,175],"based":[78],"science":[81,160],"theories,":[82],"perform":[84],"a":[85,142],"corpus":[86,139],"study":[87,140,187],"data":[90,97],"from":[91,98],"Facebook":[92],"groups":[93,103],"vaccination.":[95],"The":[96,168],"pro-vaccination":[99],"anti-vaccination":[101],"discussion":[102],"are":[104],"annotated":[105,169],"trained":[107],"annotators":[108],"MTurk":[111],"annotators.":[112],"We":[113],"analyze":[114],"annotations":[116],"using":[117],"LIWC":[118],"(Linguistic":[119],"Inquiry":[120],"Word":[122],"Count)":[123],"software":[124],"TF-IDF":[126],"order":[128],"identify":[130],"differentiating":[131],"features":[132],"between":[133],"stigmatizing":[134],"vs.":[135],"non-stigmatizing":[136],"content.":[137],"Our":[138],"lays":[141],"valuable":[143],"foundation":[144],"modeling":[147],"stigma,":[150],"as":[151,155],"it":[152],"can":[153,171,183,195],"serve":[154],"validation/interpretation":[156],"theories":[161],"through":[162],"prism":[164],"laypeople":[166],"understanding.":[167],"corpora":[170],"be":[172,184,196],"subsequently":[173],"used":[174],"automatic":[176],"identification.":[178],"Moreover,":[179],"applied":[185],"across":[189],"different":[190],"themes":[191],"diseases":[193],"utilized":[197],"during":[198],"public":[199],"health":[200,204],"informational":[201],"campaigns":[202],"interventions.":[205]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
