{"id":"https://openalex.org/W4402225680","doi":"https://doi.org/10.1145/3675669.3675682","title":"Stylometry-based Fake News Classification Using Text Mining Techniques","display_name":"Stylometry-based Fake News Classification Using Text Mining Techniques","publication_year":2024,"publication_date":"2024-08-21","ids":{"openalex":"https://openalex.org/W4402225680","doi":"https://doi.org/10.1145/3675669.3675682"},"language":"en","primary_location":{"id":"doi:10.1145/3675669.3675682","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3675669.3675682","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 11th Multidisciplinary International Social Networks Conference","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/A5031539003","display_name":"Hsin-Chang Yang","orcid":"https://orcid.org/0000-0001-5851-2760"},"institutions":[{"id":"https://openalex.org/I192168892","display_name":"National University of Kaohsiung","ror":"https://ror.org/013zjb662","country_code":"TW","type":"education","lineage":["https://openalex.org/I192168892"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Hsin-Chang Yang","raw_affiliation_strings":["Department of Information Management, National University of Kaohsiung, Taiwan"],"raw_orcid":"https://orcid.org/0000-0001-5851-2760","affiliations":[{"raw_affiliation_string":"Department of Information Management, National University of Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I192168892"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113367248","display_name":"Yi-Ling Hung","orcid":null},"institutions":[{"id":"https://openalex.org/I192168892","display_name":"National University of Kaohsiung","ror":"https://ror.org/013zjb662","country_code":"TW","type":"education","lineage":["https://openalex.org/I192168892"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yi-Ling Hung","raw_affiliation_strings":["Department of Information Management, National University of Kaohsiung, Taiwan"],"raw_orcid":"https://orcid.org/0009-0001-7964-0304","affiliations":[{"raw_affiliation_string":"Department of Information Management, National University of Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I192168892"]}]},{"author_position":"last","author":{"id":null,"display_name":"Ling-Ciao Wang","orcid":"https://orcid.org/0009-0008-7599-6814"},"institutions":[{"id":"https://openalex.org/I192168892","display_name":"National University of Kaohsiung","ror":"https://ror.org/013zjb662","country_code":"TW","type":"education","lineage":["https://openalex.org/I192168892"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ling-Ciao Wang","raw_affiliation_strings":["Department of Information Management, National University of Kaohsiung, Taiwan"],"raw_orcid":"https://orcid.org/0009-0008-7599-6814","affiliations":[{"raw_affiliation_string":"Department of Information Management, National University of Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I192168892"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5031539003"],"corresponding_institution_ids":["https://openalex.org/I192168892"],"apc_list":null,"apc_paid":null,"fwci":1.0744,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.82622831,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"85","last_page":"94"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9984999895095825,"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/T12380","display_name":"Authorship Attribution and Profiling","score":0.9966999888420105,"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/stylometry","display_name":"Stylometry","score":0.9107073545455933},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.718928873538971},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5084496736526489},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.47906073927879333},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44120293855667114}],"concepts":[{"id":"https://openalex.org/C11192451","wikidata":"https://www.wikidata.org/wiki/Q2032038","display_name":"Stylometry","level":2,"score":0.9107073545455933},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.718928873538971},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5084496736526489},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.47906073927879333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44120293855667114}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3675669.3675682","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3675669.3675682","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 11th Multidisciplinary International Social Networks Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1969944630","https://openalex.org/W1988790447","https://openalex.org/W2039222427","https://openalex.org/W2092475127","https://openalex.org/W2143017621","https://openalex.org/W2295598076","https://openalex.org/W2563585333","https://openalex.org/W2751589903","https://openalex.org/W2790166049","https://openalex.org/W2790589174","https://openalex.org/W2911964244","https://openalex.org/W3022731820","https://openalex.org/W3034020579","https://openalex.org/W3122910157","https://openalex.org/W3151491250","https://openalex.org/W3196775370","https://openalex.org/W3208060687","https://openalex.org/W4211225539","https://openalex.org/W4239510810","https://openalex.org/W4288079542","https://openalex.org/W6629638141","https://openalex.org/W6788668986"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2895461980","https://openalex.org/W2187670843","https://openalex.org/W2027650462","https://openalex.org/W2768755876","https://openalex.org/W2285499887","https://openalex.org/W2155953932","https://openalex.org/W2187360386","https://openalex.org/W3204019825"],"abstract_inverted_index":{"In":[0,72],"recent":[1],"years,":[2],"fake":[3,24,40],"news":[4,25,41,70],"detection":[5,26],"has":[6],"become":[7],"an":[8],"important":[9],"issue":[10,38],"in":[11,88],"our":[12],"daily":[13],"life.":[14],"As":[15],"information":[16],"increases,":[17],"many":[18],"studies":[19],"are":[20],"devoted":[21],"to":[22,35,110],"automating":[23],"recently.":[27],"Therefore,":[28],"this":[29,74,92],"study":[30,75,93],"applies":[31],"text":[32],"mining":[33],"technique":[34],"explore":[36],"the":[37,43,50,67,78],"of":[39,45,56,69,80],"from":[42],"aspect":[44],"writing":[46],"style.":[47],"We":[48],"train":[49],"model":[51],"by":[52],"extracting":[53],"four":[54,95],"categories":[55],"style":[57,82],"features,":[58],"then":[59],"construct":[60],"a":[61,112],"classifier":[62],"that":[63],"can":[64],"automatically":[65],"assess":[66],"authenticity":[68],"articles.":[71],"addition,":[73],"also":[76],"evaluates":[77],"combinations":[79],"various":[81],"features":[83],"and":[84,108],"observe":[85],"their":[86],"differences":[87],"classification":[89,99,115],"effectiveness.":[90],"Meanwhile,":[91],"compares":[94],"popular":[96],"supervised":[97],"learning":[98],"techniques,":[100],"namely":[101],"Support":[102],"Vector":[103],"Machine,":[104],"Random":[105],"Forest,":[106],"AdaBoost":[107],"XGBoost,":[109],"provide":[111],"most":[113],"suitable":[114],"method.":[116]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
