{"id":"https://openalex.org/W3111348614","doi":"https://doi.org/10.1145/3442167.3442169","title":"TrollHunter [Evader]: Automated Detection [Evasion] of Twitter Trolls During the COVID-19 Pandemic","display_name":"TrollHunter [Evader]: Automated Detection [Evasion] of Twitter Trolls During the COVID-19 Pandemic","publication_year":2020,"publication_date":"2020-10-26","ids":{"openalex":"https://openalex.org/W3111348614","doi":"https://doi.org/10.1145/3442167.3442169","mag":"3111348614"},"language":"en","primary_location":{"id":"doi:10.1145/3442167.3442169","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3442167.3442169","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"New Security Paradigms Workshop 2020","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2012.02586","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075383234","display_name":"Peter Jachim","orcid":"https://orcid.org/0000-0001-9238-6710"},"institutions":[{"id":"https://openalex.org/I118353179","display_name":"DePaul University","ror":"https://ror.org/04xtx5t16","country_code":"US","type":"education","lineage":["https://openalex.org/I118353179"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter Jachim","raw_affiliation_strings":["DePaul University, USA","DePaul University , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DePaul University, USA","institution_ids":["https://openalex.org/I118353179"]},{"raw_affiliation_string":"DePaul University , USA","institution_ids":["https://openalex.org/I118353179"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089811277","display_name":"Filipo Sharevski","orcid":"https://orcid.org/0000-0003-3058-7255"},"institutions":[{"id":"https://openalex.org/I118353179","display_name":"DePaul University","ror":"https://ror.org/04xtx5t16","country_code":"US","type":"education","lineage":["https://openalex.org/I118353179"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Filipo Sharevski","raw_affiliation_strings":["DePaul University, USA","DePaul University , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DePaul University, USA","institution_ids":["https://openalex.org/I118353179"]},{"raw_affiliation_string":"DePaul University , USA","institution_ids":["https://openalex.org/I118353179"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018677917","display_name":"Paige Treebridge","orcid":null},"institutions":[{"id":"https://openalex.org/I118353179","display_name":"DePaul University","ror":"https://ror.org/04xtx5t16","country_code":"US","type":"education","lineage":["https://openalex.org/I118353179"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paige Treebridge","raw_affiliation_strings":["DePaul University, USA","DePaul University , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DePaul University, USA","institution_ids":["https://openalex.org/I118353179"]},{"raw_affiliation_string":"DePaul University , USA","institution_ids":["https://openalex.org/I118353179"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I118353179"],"apc_list":null,"apc_paid":null,"fwci":2.2637,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.90620535,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"59","last_page":"75"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9922999739646912,"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":0.9922999739646912,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9793000221252441,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6371222734451294},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5889362096786499},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5773231387138367},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.5561302900314331},{"id":"https://openalex.org/keywords/pandemic","display_name":"Pandemic","score":0.5301279425621033},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5297122001647949},{"id":"https://openalex.org/keywords/evasion","display_name":"Evasion (ethics)","score":0.49528875946998596},{"id":"https://openalex.org/keywords/false-accusation","display_name":"False accusation","score":0.4800868630409241},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4348648488521576},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.4222719669342041},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4173387289047241},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.344203382730484},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3206700384616852},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.1317347288131714},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.09153890609741211}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6371222734451294},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5889362096786499},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5773231387138367},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.5561302900314331},{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.5301279425621033},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5297122001647949},{"id":"https://openalex.org/C2781251061","wikidata":"https://www.wikidata.org/wiki/Q5416089","display_name":"Evasion (ethics)","level":3,"score":0.49528875946998596},{"id":"https://openalex.org/C59577422","wikidata":"https://www.wikidata.org/wiki/Q10265143","display_name":"False accusation","level":2,"score":0.4800868630409241},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4348648488521576},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.4222719669342041},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4173387289047241},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.344203382730484},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3206700384616852},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.1317347288131714},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.09153890609741211},{"id":"https://openalex.org/C8891405","wikidata":"https://www.wikidata.org/wiki/Q1059","display_name":"Immune system","level":2,"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/C203014093","wikidata":"https://www.wikidata.org/wiki/Q101929","display_name":"Immunology","level":1,"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},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3442167.3442169","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3442167.3442169","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"New Security Paradigms Workshop 2020","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2012.02586","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2012.02586","pdf_url":"https://arxiv.org/pdf/2012.02586","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3128165878","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2012.02586","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2012.02586","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2012.02586","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2012.02586","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2012.02586","pdf_url":"https://arxiv.org/pdf/2012.02586","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3111348614.pdf","grobid_xml":"https://content.openalex.org/works/W3111348614.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W1963741253","https://openalex.org/W2061886770","https://openalex.org/W2066649178","https://openalex.org/W2075312405","https://openalex.org/W2095577883","https://openalex.org/W2148519244","https://openalex.org/W2221728952","https://openalex.org/W2280695258","https://openalex.org/W2572504188","https://openalex.org/W2588334501","https://openalex.org/W2611492430","https://openalex.org/W2612890464","https://openalex.org/W2617906157","https://openalex.org/W2620802768","https://openalex.org/W2724383570","https://openalex.org/W2801600642","https://openalex.org/W2805120555","https://openalex.org/W2885316213","https://openalex.org/W2887425423","https://openalex.org/W2888571776","https://openalex.org/W2946088469","https://openalex.org/W2962899505","https://openalex.org/W2962972034","https://openalex.org/W2969866298","https://openalex.org/W2972735048","https://openalex.org/W2974926830","https://openalex.org/W2997591727","https://openalex.org/W2998062991","https://openalex.org/W3000625265","https://openalex.org/W3007264885","https://openalex.org/W3014487746","https://openalex.org/W3020284447","https://openalex.org/W3037924975","https://openalex.org/W3041576888","https://openalex.org/W3044537354","https://openalex.org/W3080182004","https://openalex.org/W3103836116","https://openalex.org/W3105604018","https://openalex.org/W3116515605","https://openalex.org/W3122883818","https://openalex.org/W3157607981","https://openalex.org/W4213327489","https://openalex.org/W4288281505","https://openalex.org/W4289253852","https://openalex.org/W4301880089"],"related_works":["https://openalex.org/W3129543715","https://openalex.org/W3080590497","https://openalex.org/W3158319976","https://openalex.org/W3165299977","https://openalex.org/W3197438902","https://openalex.org/W2770832489","https://openalex.org/W2553895521","https://openalex.org/W3172265729","https://openalex.org/W1233141674","https://openalex.org/W3128896153","https://openalex.org/W3158772776","https://openalex.org/W2547213877","https://openalex.org/W2777887828","https://openalex.org/W1917501704","https://openalex.org/W3132202893","https://openalex.org/W3157945223","https://openalex.org/W2902322761","https://openalex.org/W3133940287","https://openalex.org/W3196897373","https://openalex.org/W2940101950"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"TrollHunter,":[3],"an":[4,123,186],"automated":[5,110],"reasoning":[6],"mechanism":[7,127,145],"we":[8,119,184],"used":[9],"to":[10,27,58,67,108,146,156,166,197],"hunt":[11],"for":[12],"trolls":[13,99],"on":[14,36,180],"Twitter":[15,55,199],"during":[16],"the":[17,25,40,43,90,98,114,163,172,181,190],"COVID-19":[18,30,41,173,182],"pandemic":[19,91],"in":[20,92,138,162],"2020.":[21],"Trolls":[22],"quickly":[23],"seized":[24],"opportunity":[26],"create":[28],"a":[29,46,51,63,79,86,132,139,142,158,177],"infodemic":[31,174],"by":[32],"promulgating":[33],"dubious":[34],"content":[35,56],"Twitter.":[37],"To":[38,112],"counter":[39],"infodemic,":[42],"TrollHunter":[44,69],"leverages":[45],"unique":[47],"linguistic":[48],"analysis":[49],"of":[50,54,81,89,116,192],"multi-dimensional":[52],"set":[53],"features":[57],"detect":[59],"whether":[60],"or":[61],"not":[62],"tweet":[64],"was":[65],"meant":[66],"troll.":[68],"achieved":[70],"98.5%":[71],"accuracy,":[72],"75.4%":[73],"precision":[74],"and":[75,121],"69.8%":[76],"recall":[77],"over":[78],"dataset":[80],"1.3":[82],"million":[83],"tweets.":[84,150,170],"Without":[85],"final":[87],"resolution":[88],"sight,":[93],"it":[94],"is":[95],"unlikely":[96],"that":[97],"will":[100],"go":[101],"away,":[102],"although":[103],"they":[104],"might":[105],"be":[106],"forced":[107],"evade":[109,198],"hunting.":[111],"explore":[113],"plausibility":[115],"this":[117],"strategy,":[118],"developed":[120],"tested":[122],"adversarial":[124,194],"machine":[125,195],"learning":[126,196],"called":[128],"TrollHunter-Evader.":[129],"TrollHunter-Evader":[130],"employs":[131],"Test":[133],"Time":[134],"Evasion":[135],"(TTE)":[136],"approach":[137],"combination":[140],"with":[141],"Markov":[143],"chain-based":[144],"recycle":[147],"originally":[148],"trolling":[149,169],"The":[151],"recycled":[152],"tweets":[153],"were":[154],"able":[155],"achieve":[157],"remarkable":[159],"40%":[160],"decrease":[161],"TrollHunter\u2019s":[164],"ability":[165],"correctly":[167],"identify":[168],"Because":[171],"could":[175],"have":[176],"harmful":[178],"impact":[179],"pandemic,":[183],"provide":[185],"elaborate":[187],"discussion":[188],"about":[189],"implications":[191],"employing":[193],"troll":[200],"hunts.":[201]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-08-18T07:49:30.821534","created_date":"2025-10-10T00:00:00"}
