{"id":"https://openalex.org/W3080563675","doi":"https://doi.org/10.1145/3404555.3404607","title":"BERT-Based Mental Model, a Better Fake News Detector","display_name":"BERT-Based Mental Model, a Better Fake News Detector","publication_year":2020,"publication_date":"2020-04-23","ids":{"openalex":"https://openalex.org/W3080563675","doi":"https://doi.org/10.1145/3404555.3404607","mag":"3080563675"},"language":"en","primary_location":{"id":"doi:10.1145/3404555.3404607","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3404555.3404607","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 6th International Conference on Computing and Artificial Intelligence","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/A5101644890","display_name":"Jia Ding","orcid":"https://orcid.org/0000-0002-2102-9799"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jia Ding","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081855564","display_name":"Yongjun Hu","orcid":"https://orcid.org/0000-0002-9395-7535"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongjun Hu","raw_affiliation_strings":["School of Management, Guangzhou University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Management, Guangzhou University, Guangzhou, China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019953360","display_name":"Huiyou Chang","orcid":"https://orcid.org/0000-0002-4595-2625"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiyou Chang","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101644890"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":4.5342,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.95139136,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"396","last_page":"400"},"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/T10028","display_name":"Topic Modeling","score":0.9883000254631042,"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"}},{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9855999946594238,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8060911893844604},{"id":"https://openalex.org/keywords/fake-news","display_name":"Fake news","score":0.6302571892738342},{"id":"https://openalex.org/keywords/verifiable-secret-sharing","display_name":"Verifiable secret sharing","score":0.613041341304779},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5984785556793213},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5973434448242188},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5852347016334534},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5735762119293213},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5438587665557861},{"id":"https://openalex.org/keywords/mental-model","display_name":"Mental model","score":0.45150575041770935},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.45026615262031555},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4368453919887543},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.4283263385295868},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4162990152835846},{"id":"https://openalex.org/keywords/empirical-research","display_name":"Empirical research","score":0.41376304626464844},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.40710896253585815},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.40494030714035034},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.08594271540641785},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07325509190559387},{"id":"https://openalex.org/keywords/cognitive-science","display_name":"Cognitive science","score":0.06983175873756409}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8060911893844604},{"id":"https://openalex.org/C2779756789","wikidata":"https://www.wikidata.org/wiki/Q28549308","display_name":"Fake news","level":2,"score":0.6302571892738342},{"id":"https://openalex.org/C85847156","wikidata":"https://www.wikidata.org/wiki/Q59015987","display_name":"Verifiable secret sharing","level":3,"score":0.613041341304779},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5984785556793213},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5973434448242188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5852347016334534},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5735762119293213},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5438587665557861},{"id":"https://openalex.org/C2982912361","wikidata":"https://www.wikidata.org/wiki/Q1851867","display_name":"Mental model","level":2,"score":0.45150575041770935},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.45026615262031555},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4368453919887543},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4283263385295868},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4162990152835846},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.41376304626464844},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.40710896253585815},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.40494030714035034},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.08594271540641785},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07325509190559387},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.06983175873756409},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3404555.3404607","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3404555.3404607","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 6th International Conference on Computing and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2024580832","https://openalex.org/W2032152873","https://openalex.org/W2133564696","https://openalex.org/W2267186426","https://openalex.org/W2312296889","https://openalex.org/W2325128067","https://openalex.org/W2577888896","https://openalex.org/W2612675303","https://openalex.org/W2742330194","https://openalex.org/W2759820691","https://openalex.org/W2896457183","https://openalex.org/W2911710347","https://openalex.org/W2945264558","https://openalex.org/W2950784811","https://openalex.org/W2963416784","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W3107474891","https://openalex.org/W3034267371","https://openalex.org/W4315783664","https://openalex.org/W2968586400","https://openalex.org/W3017600792","https://openalex.org/W4287813963","https://openalex.org/W3189515467","https://openalex.org/W4297779434","https://openalex.org/W3148119887","https://openalex.org/W4306175410"],"abstract_inverted_index":{"Automatic":[0],"fake":[1,41,95],"news":[2,42,96],"detection":[3],"is":[4],"a":[5,10,23,28,79,84,102,106],"challenging":[6],"problem":[7],"which":[8],"needs":[9],"number":[11],"of":[12],"verifiable":[13],"facts":[14],"support":[15],"back.":[16],"Wang":[17],"et":[18],"al.":[19],"[16]":[20],"introduced":[21],"LIAR,":[22],"validated":[24],"dataset,":[25],"and":[26,54,116],"presented":[27],"six":[29],"classes":[30],"classification":[31],"task":[32],"with":[33,68,125],"several":[34],"popular":[35],"machine":[36],"learning":[37],"methods":[38],"to":[39,77,81,89,104,112],"detect":[40],"in":[43,94,109,153],"linguistic":[44,110],"level.":[45],"However,":[46],"empirical":[47],"results":[48,131],"have":[49,149],"shown":[50],"that":[51,133],"the":[52,75,91,114,122,140,145],"CNN":[53],"RNN":[55],"based":[56,143],"model":[57,88,124,142],"can":[58],"not":[59],"perform":[60],"very":[61],"well":[62],"especially":[63],"when":[64],"integrating":[65],"all":[66,126],"features":[67,117,127],"claim.":[69],"In":[70,98],"this":[71],"paper,":[72],"we":[73,100,120,148],"are":[74],"first":[76],"present":[78,101],"method":[80,103,135],"build":[82],"up":[83],"BERT-based":[85],"[4]":[86],"mental":[87,92],"capture":[90],"feature":[93],"detection.":[97],"details,":[99],"construct":[105],"patterned":[107],"text":[108],"level":[111],"integrate":[113],"claim":[115],"appropriately.":[118],"Then":[119],"fine-tune":[121],"BERT":[123],"integrated":[128],"text.":[129],"Empirical":[130],"show":[132],"our":[134],"provides":[136],"significant":[137],"improvement":[138],"over":[139],"state-of-art":[141],"on":[144],"LIAR":[146],"dataset":[147],"known":[150],"by":[151],"16.71%":[152],"accuracy.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":9}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}