{"id":"https://openalex.org/W4392254214","doi":"https://doi.org/10.1145/3639479.3639481","title":"Fake news detection algorithm based on incorporating multi-level features","display_name":"Fake news detection algorithm based on incorporating multi-level features","publication_year":2023,"publication_date":"2023-12-27","ids":{"openalex":"https://openalex.org/W4392254214","doi":"https://doi.org/10.1145/3639479.3639481"},"language":"en","primary_location":{"id":"doi:10.1145/3639479.3639481","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3639479.3639481","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3639479.3639481","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 6th International Conference on Machine Learning and Natural Language Processing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3639479.3639481","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068040780","display_name":"Jintao Su","orcid":"https://orcid.org/0000-0002-2755-5909"},"institutions":[{"id":"https://openalex.org/I152033890","display_name":"Hainan Normal University","ror":"https://ror.org/031dhcv14","country_code":"CN","type":"education","lineage":["https://openalex.org/I152033890"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jintao Su","raw_affiliation_strings":["College of Information Science Technology, Hainan Normal University, China"],"raw_orcid":"https://orcid.org/0000-0002-2755-5909","affiliations":[{"raw_affiliation_string":"College of Information Science Technology, Hainan Normal University, China","institution_ids":["https://openalex.org/I152033890"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045889906","display_name":"Junkuo Cao","orcid":"https://orcid.org/0000-0001-8689-6626"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Junkuo Cao","raw_affiliation_strings":["Information Network and Data Center, China"],"raw_orcid":"https://orcid.org/0000-0001-8689-6626","affiliations":[{"raw_affiliation_string":"Information Network and Data Center, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039673342","display_name":"Ziyang Feng","orcid":"https://orcid.org/0000-0002-3525-5404"},"institutions":[{"id":"https://openalex.org/I152033890","display_name":"Hainan Normal University","ror":"https://ror.org/031dhcv14","country_code":"CN","type":"education","lineage":["https://openalex.org/I152033890"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyang Feng","raw_affiliation_strings":["College of Information Science Technology, Hainan Normal University, China"],"raw_orcid":"https://orcid.org/0000-0002-3525-5404","affiliations":[{"raw_affiliation_string":"College of Information Science Technology, Hainan Normal University, China","institution_ids":["https://openalex.org/I152033890"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0489,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.85341643,"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":"8","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9771999716758728,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9661999940872192,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7195402979850769},{"id":"https://openalex.org/keywords/fake-news","display_name":"Fake news","score":0.5751304030418396},{"id":"https://openalex.org/keywords/algorithm-design","display_name":"Algorithm design","score":0.4319576323032379},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39765307307243347},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35330986976623535},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.08575320243835449}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7195402979850769},{"id":"https://openalex.org/C2779756789","wikidata":"https://www.wikidata.org/wiki/Q28549308","display_name":"Fake news","level":2,"score":0.5751304030418396},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.4319576323032379},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39765307307243347},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35330986976623535},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.08575320243835449}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3639479.3639481","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3639479.3639481","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3639479.3639481","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 6th International Conference on Machine Learning and Natural Language Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3639479.3639481","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3639479.3639481","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3639479.3639481","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 6th International Conference on Machine Learning and Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392254214.pdf","grobid_xml":"https://content.openalex.org/works/W4392254214.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W2142869398","https://openalex.org/W2788235048","https://openalex.org/W2798787718","https://openalex.org/W2977830790","https://openalex.org/W2998395006","https://openalex.org/W3085162807","https://openalex.org/W3090676761","https://openalex.org/W3153567752","https://openalex.org/W3210022786","https://openalex.org/W4221068800","https://openalex.org/W4256561644","https://openalex.org/W4285142610"],"related_works":["https://openalex.org/W2393888177","https://openalex.org/W2544423928","https://openalex.org/W2115794623","https://openalex.org/W2360264381","https://openalex.org/W2067173559","https://openalex.org/W2148738811","https://openalex.org/W1613730747","https://openalex.org/W2541389358","https://openalex.org/W4318948887","https://openalex.org/W1994204274"],"abstract_inverted_index":{"With":[0],"the":[1,19,24,60,72,80,97,101,107,123,142,157],"development":[2],"of":[3,18,23,100],"social":[4],"media,":[5],"false":[6,118],"news":[7,29,51,119,140],"has":[8],"become":[9],"a":[10,49,89],"serious":[11],"problem":[12],"facing":[13],"today\u2019s":[14],"society.":[15],"In":[16],"view":[17],"fact":[20],"that":[21,55,133],"most":[22],"existing":[25],"research":[26],"on":[27,33,139,144],"fake":[28,50],"detection":[30,52,120],"technology":[31],"relies":[32,138],"external":[34],"knowledge":[35],"sources,":[36],"and":[37,71,105,147,153],"there":[38],"are":[39,150],"still":[40],"limitations":[41],"in":[42,117],"processing":[43],"text":[44,69,86,103],"details,":[45],"this":[46,135],"paper":[47],"proposes":[48],"algorithm":[53],"(BCCU)":[54],"integrates":[56],"multi-level":[57],"features.":[58,87],"First,":[59],"pre-trained":[61],"model":[62,159],"BERT":[63,73],"is":[64,76,93,113],"used":[65,77],"to":[66,78,83,95,115,121,126],"obtain":[67],"global":[68],"features,":[70],"coding":[74],"layer":[75],"access":[79],"capsule":[81],"network":[82],"extract":[84],"local":[85],"Then":[88],"collaborative":[90],"attention":[91],"mechanism":[92],"introduced":[94],"process":[96],"redundant":[98],"parts":[99],"two":[102],"features":[104],"fuse":[106],"two.":[108],"Finally":[109],"User":[110],"attribute":[111],"data":[112],"added":[114],"assist":[116],"improve":[122],"model\u2019s":[124],"ability":[125],"predict":[127],"future":[128],"news.":[129],"Experimental":[130],"results":[131],"show":[132],"when":[134],"method":[136],"only":[137],"text,":[141],"accuracy":[143],"Weibo,":[145],"Twitter15":[146],"Twitter16":[148],"datasets":[149],"1.1%,":[151],"13.3%":[152],"11.4%":[154],"higher":[155],"than":[156],"classic":[158],"(RvNN)":[160],"respectively.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}
