{"id":"https://openalex.org/W4403608829","doi":"https://doi.org/10.31110/colins/2024-4/005","title":"Synthesis of model features for fake news detection using large language models","display_name":"Synthesis of model features for fake news detection using large language models","publication_year":2024,"publication_date":"2024-07-08","ids":{"openalex":"https://openalex.org/W4403608829","doi":"https://doi.org/10.31110/colins/2024-4/005"},"language":"en","primary_location":{"id":"doi:10.31110/colins/2024-4/005","doi":"https://doi.org/10.31110/colins/2024-4/005","is_oa":true,"landing_page_url":"https://doi.org/10.31110/colins/2024-4/005","pdf_url":"https://doi.org/10.31110/colins/2024-4/005","source":{"id":"https://openalex.org/S7407120857","display_name":"International Conference on Computational Linguistics and Intelligent Systems (COLINS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Systems. Volume IV: Computational Linguistics Workshop","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://doi.org/10.31110/colins/2024-4/005","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030146543","display_name":"Adam Wierzbicki","orcid":"https://orcid.org/0000-0003-0075-7030","observed_orcids":["https://orcid.org/0000-0003-0075-7030"]},"institutions":[{"id":"https://openalex.org/I3017851245","display_name":"Polish-Japanese Academy of Information Technology","ror":"https://ror.org/01v542j61","country_code":"PL","type":"education","lineage":["https://openalex.org/I3017851245"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Adam Wierzbicki","raw_affiliation_strings":["Polish-Japanese Academy of Information Technology , Koszykowa 86 str. 02-008 , Warsaw , Poland"],"raw_orcid":"https://orcid.org/0000-0003-0075-7030","affiliations":[{"raw_affiliation_string":"Polish-Japanese Academy of Information Technology , Koszykowa 86 str. 02-008 , Warsaw , Poland","institution_ids":["https://openalex.org/I3017851245"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114349101","display_name":"Andrii Shupta","orcid":"https://orcid.org/0009-0000-9771-5579","observed_orcids":["https://orcid.org/0009-0000-9771-5579"]},"institutions":[{"id":"https://openalex.org/I164756455","display_name":"Khmelnytskyi National University","ror":"https://ror.org/04r8a1r80","country_code":"UA","type":"education","lineage":["https://openalex.org/I164756455"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Andrii Shupta","raw_affiliation_strings":["Khmelnytskyi National University , 11 , Instytuts'ka str. , Khmelnytskyi , 29016 , Ukraine"],"raw_orcid":"https://orcid.org/0009-0000-9771-5579","affiliations":[{"raw_affiliation_string":"Khmelnytskyi National University , 11 , Instytuts'ka str. , Khmelnytskyi , 29016 , Ukraine","institution_ids":["https://openalex.org/I164756455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057182685","display_name":"Olexander Barmak","orcid":"https://orcid.org/0000-0003-0739-9678","observed_orcids":["https://orcid.org/0000-0003-0739-9678"]},"institutions":[{"id":"https://openalex.org/I164756455","display_name":"Khmelnytskyi National University","ror":"https://ror.org/04r8a1r80","country_code":"UA","type":"education","lineage":["https://openalex.org/I164756455"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Olexander Barmak","raw_affiliation_strings":["Khmelnytskyi National University , 11 , Instytuts'ka str. , Khmelnytskyi , 29016 , Ukraine"],"raw_orcid":"https://orcid.org/0000-0003-0739-9678","affiliations":[{"raw_affiliation_string":"Khmelnytskyi National University , 11 , Instytuts'ka str. , Khmelnytskyi , 29016 , Ukraine","institution_ids":["https://openalex.org/I164756455"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7294,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.86208496,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.0,"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/T10028","display_name":"Topic Modeling","score":0.0,"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/fake-news-detection","display_name":"fake news detection","score":1.0},{"id":"https://openalex.org/keywords/feature-synthesis","display_name":"feature synthesis","score":0.7289999723434448},{"id":"https://openalex.org/keywords/large-language-models","display_name":"large language models","score":0.8669999837875366},{"id":"https://openalex.org/keywords/generative-ai","display_name":"generative AI","score":0.9480000138282776},{"id":"https://openalex.org/keywords/model-interpretability","display_name":"model interpretability","score":0.6000000238418579},{"id":"https://openalex.org/keywords/social-media-misinformation","display_name":"social media misinformation","score":0.734000027179718}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7285661697387695},{"id":"https://openalex.org/C2779756789","wikidata":"https://www.wikidata.org/wiki/Q28549308","display_name":"Fake news","level":2,"score":0.5646358728408813},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.5302046537399292},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5184764266014099},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5171605944633484},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.06173783540725708}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.31110/colins/2024-4/005","doi":"https://doi.org/10.31110/colins/2024-4/005","is_oa":true,"landing_page_url":"https://doi.org/10.31110/colins/2024-4/005","pdf_url":"https://doi.org/10.31110/colins/2024-4/005","source":{"id":"https://openalex.org/S7407120857","display_name":"International Conference on Computational Linguistics and Intelligent Systems (COLINS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Systems. Volume IV: Computational Linguistics Workshop","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.31110/colins/2024-4/005","doi":"https://doi.org/10.31110/colins/2024-4/005","is_oa":true,"landing_page_url":"https://doi.org/10.31110/colins/2024-4/005","pdf_url":"https://doi.org/10.31110/colins/2024-4/005","source":{"id":"https://openalex.org/S7407120857","display_name":"International Conference on Computational Linguistics and Intelligent Systems (COLINS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Systems. Volume IV: Computational Linguistics Workshop","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403608829.pdf","grobid_xml":"https://content.openalex.org/works/W4403608829.grobid-xml"},"referenced_works_count":6,"referenced_works":["https://openalex.org/W2911710347","https://openalex.org/W2982151584","https://openalex.org/W3007531719","https://openalex.org/W3045987077","https://openalex.org/W4386443710","https://openalex.org/W4387075795"],"related_works":["https://openalex.org/W4415238699","https://openalex.org/W7138076044","https://openalex.org/W7172012097","https://openalex.org/W7204275333","https://openalex.org/W7217416699","https://openalex.org/W4389483503","https://openalex.org/W7155387859","https://openalex.org/W7161269388","https://openalex.org/W4385743398","https://openalex.org/W4409843904"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"the":[3,26,56,60,85,93,100,103,108,115,142,145,165],"issue":[4,188],"of":[5,28,55,62,78,87,122,144,164],"fake":[6,23,42,66,88,123,150,177],"news":[7,24,43,67,89,124,151,178],"has":[8],"become":[9],"exceedingly":[10],"pertinent":[11],"due":[12],"to":[13,37,110,117,119,171],"its":[14],"rapid":[15],"dissemination":[16],"through":[17,102,132,137],"social":[18],"media":[19],"and":[20,31,49,73,97,113,125,135,158],"online":[21],"platforms.Detecting":[22],"requires":[25],"utilization":[27],"various":[29],"methods":[30],"resources.This":[32],"work":[33],"proposes":[34],"an":[35,173],"approach":[36,58,81,147,174],"building":[38],"a":[39,182],"model":[40,63],"for":[41,65,175],"detection":[44,68,86,94],"using":[45,69],"generative":[46,70],"artificial":[47,71],"intelligence":[48,72],"natural":[50],"language":[51],"processing.The":[52],"main":[53],"focus":[54],"proposed":[57,80,104,146],"is":[59],"synthesis":[61],"features":[64,112],"Natural":[74],"Language":[75],"Processing.The":[76],"use":[77],"this":[79,168,187],"not":[82],"only":[83],"facilitates":[84],"but":[90],"also":[91],"renders":[92],"process":[95],"transparent":[96],"customizable":[98],"by":[99],"user.Additionally,":[101],"method,":[105],"users":[106,160],"gain":[107],"ability":[109],"expand":[111],"train":[114],"system":[116],"adapt":[118],"new":[120],"types":[121],"their":[126],"variations.Experimental":[127],"results,":[128],"presented":[129],"both":[130],"qualitatively":[131],"visual":[133],"analytics":[134],"quantitatively":[136],"statistical":[138],"indicators,":[139],"convincingly":[140],"demonstrate":[141],"effectiveness":[143],"in":[148,189],"detecting":[149,176],"with":[152,161],"satisfactory":[153],"accuracy":[154],"levels":[155],"reaching":[156],"90%":[157],"provide":[159],"sufficient":[162],"interpretability":[163],"obtained":[166],"decisions.Overall,":[167],"research":[169],"aims":[170],"create":[172],"that":[179],"may":[180],"have":[181],"significant":[183],"impact":[184],"on":[185],"addressing":[186],"contemporary":[190],"society.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-11-06T12:05:46.655746","created_date":"2024-10-22T00:00:00"}