{"id":"https://openalex.org/W4406458018","doi":"https://doi.org/10.1109/bigdata62323.2024.10825413","title":"Comparative Evaluation of Network-Based and NLP-based Methods for Detecting Conspiracy Theory Communities on YouTube","display_name":"Comparative Evaluation of Network-Based and NLP-based Methods for Detecting Conspiracy Theory Communities on YouTube","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406458018","doi":"https://doi.org/10.1109/bigdata62323.2024.10825413"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10825413","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825413","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"},"type":"article","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/A5112061600","display_name":"Koki OTA","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Koki Ota","raw_affiliation_strings":["The University of Tokyo,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo,Tokyo,Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073013967","display_name":"Fujio Toriumi","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Fujio Toriumi","raw_affiliation_strings":["The University of Tokyo,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo,Tokyo,Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5112061600"],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.41984364,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3042","last_page":"3050"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":1.0,"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":1.0,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9922999739646912,"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":0.7103903293609619},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6681485772132874},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5693649053573608},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3308044970035553}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7103903293609619},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6681485772132874},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5693649053573608},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3308044970035553}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata62323.2024.10825413","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825413","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1096134325","https://openalex.org/W1607079589","https://openalex.org/W2131681506","https://openalex.org/W2339534575","https://openalex.org/W2784178595","https://openalex.org/W2896457183","https://openalex.org/W2962756421","https://openalex.org/W2990363013","https://openalex.org/W3032474305","https://openalex.org/W3099768174","https://openalex.org/W3133423348","https://openalex.org/W3153192127","https://openalex.org/W3201846541","https://openalex.org/W4286984556","https://openalex.org/W4292779060","https://openalex.org/W4312490577","https://openalex.org/W4387328934","https://openalex.org/W4392845484","https://openalex.org/W4401357833","https://openalex.org/W6778883912","https://openalex.org/W6801215954"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"This":[0,53],"study":[1,54,88],"explores":[2],"the":[3,26,46,56,79,87,91],"effectiveness":[4,94],"of":[5,28,58],"network-based":[6,59,102,129],"community":[7],"detection":[8],"methods":[9,60,130],"in":[10,93,108],"detecting":[11,135],"misinformation":[12,34],"and":[13,113,119,154],"conspiracy":[14,23,50,110,136,150],"theory":[15,51,81,111,137],"communities":[16,47,112,156],"on":[17,21,157],"YouTube,":[18],"specifically":[19],"focusing":[20],"earthquake-related":[22],"theories.":[24],"Given":[25],"role":[27],"YouTube":[29],"as":[30,83],"a":[31],"platform":[32],"for":[33,134],"dissemination,":[35],"especially":[36],"during":[37],"crises":[38],"like":[39],"earthquakes,":[40],"it":[41],"is":[42,143],"essential":[43],"to":[44],"identify":[45],"formed":[48],"by":[49],"propagators.":[52],"compares":[55],"performance":[57],"that":[61,73,101,128],"leverage":[62],"viewer":[63],"behavior":[64],"data":[65,142],"with":[66],"Natural":[67],"Language":[68],"Processing":[69],"(NLP)-based":[70],"clustering":[71],"techniques":[72],"analyze":[74],"video":[75],"titles.":[76],"By":[77],"using":[78],"\"conspiracy":[80],"score\"":[82],"an":[84],"evaluation":[85],"metric,":[86],"quantitatively":[89],"evaluates":[90],"differences":[92],"between":[95],"these":[96],"methods.":[97,124],"The":[98],"results":[99],"demonstrate":[100],"approaches,":[103],"particularly":[104],"Node2Vec,":[105],"are":[106,131],"superior":[107],"identifying":[109],"high-influence":[114],"channels,":[115],"achieving":[116],"higher":[117],"Recall":[118],"F1":[120],"score":[121],"than":[122],"NLP-based":[123],"These":[125],"findings":[126],"suggest":[127],"highly":[132],"effective":[133],"communities,":[138],"even":[139],"when":[140],"textual":[141],"limited,":[144],"offering":[145],"valuable":[146],"insights":[147],"into":[148],"how":[149],"theories":[151],"spread":[152],"within":[153],"across":[155],"YouTube.":[158]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
