{"id":"https://openalex.org/W4392982066","doi":"https://doi.org/10.1109/icaiic60209.2024.10463196","title":"Automated Fact Checking Using A Knowledge Graph-based Model","display_name":"Automated Fact Checking Using A Knowledge Graph-based Model","publication_year":2024,"publication_date":"2024-02-19","ids":{"openalex":"https://openalex.org/W4392982066","doi":"https://doi.org/10.1109/icaiic60209.2024.10463196"},"language":"en","primary_location":{"id":"doi:10.1109/icaiic60209.2024.10463196","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icaiic60209.2024.10463196","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","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/A5094188483","display_name":"Arghya Kundu","orcid":null},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Arghya Kundu","raw_affiliation_strings":["York University,Department of Electrical Engineering and Computer Science,Toronto,Canada","Department of Electrical Engineering and Computer Science, York University, Toronto, Canada"],"affiliations":[{"raw_affiliation_string":"York University,Department of Electrical Engineering and Computer Science,Toronto,Canada","institution_ids":["https://openalex.org/I192455969"]},{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, York University, Toronto, Canada","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014092184","display_name":"Uyen Trang Nguyen","orcid":"https://orcid.org/0000-0002-4860-3551"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Uyen Trang Nguyen","raw_affiliation_strings":["York University,Department of Electrical Engineering and Computer Science,Toronto,Canada","Department of Electrical Engineering and Computer Science, York University, Toronto, Canada"],"affiliations":[{"raw_affiliation_string":"York University,Department of Electrical Engineering and Computer Science,Toronto,Canada","institution_ids":["https://openalex.org/I192455969"]},{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, York University, Toronto, Canada","institution_ids":["https://openalex.org/I192455969"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5094188483"],"corresponding_institution_ids":["https://openalex.org/I192455969"],"apc_list":null,"apc_paid":null,"fwci":0.3626,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61782608,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"13","issue":null,"first_page":"709","last_page":"716"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9729999899864197,"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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9729999899864197,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9053000211715698,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9049000144004822,"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":0.7841423749923706},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.45618027448654175},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.44355663657188416},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.37370216846466064},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3556966483592987},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3281903862953186}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7841423749923706},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.45618027448654175},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.44355663657188416},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.37370216846466064},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3556966483592987},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3281903862953186}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaiic60209.2024.10463196","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icaiic60209.2024.10463196","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","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":26,"referenced_works":["https://openalex.org/W1495703091","https://openalex.org/W1532503642","https://openalex.org/W2582561810","https://openalex.org/W2586742252","https://openalex.org/W2728059831","https://openalex.org/W2742330194","https://openalex.org/W2890930935","https://openalex.org/W2907262778","https://openalex.org/W2913081045","https://openalex.org/W2944377111","https://openalex.org/W2964092925","https://openalex.org/W3021641241","https://openalex.org/W3101118213","https://openalex.org/W3153854677","https://openalex.org/W3164279875","https://openalex.org/W3199742892","https://openalex.org/W3214342214","https://openalex.org/W4210845174","https://openalex.org/W6678830454","https://openalex.org/W6703526887","https://openalex.org/W6737293497","https://openalex.org/W6757292662","https://openalex.org/W6776882379","https://openalex.org/W6792624057","https://openalex.org/W6798017105","https://openalex.org/W7073689173"],"related_works":["https://openalex.org/W4231937131","https://openalex.org/W3188962172","https://openalex.org/W323219885","https://openalex.org/W2063928587","https://openalex.org/W2772917594","https://openalex.org/W4292559016","https://openalex.org/W1487966966","https://openalex.org/W1589342014","https://openalex.org/W4306742369","https://openalex.org/W2054026175"],"abstract_inverted_index":{"Misinformation":[0],"is":[1,25,30,131],"a":[2,39,93],"growing":[3],"threat":[4],"to":[5,22,48,69,79,139,156],"the":[6,18,31,35,57,110,134,160,174],"economy,":[7],"social":[8],"stability,":[9],"public":[10],"health,":[11],"democracy,":[12],"and":[13,53,109,145,167,170],"national":[14],"security.":[15],"One":[16],"of":[17,33,38,60,165],"most":[19],"effective":[20],"methods":[21],"combat":[23],"misinformation":[24,71,83],"fact":[26,87,96],"checking.":[27],"Fact":[28,43],"checking":[29,88,97],"process":[32],"verifying":[34],"factual":[36],"accuracy":[37],"statement":[40],"or":[41],"claim.":[42],"checkers":[44],"employ":[45,150],"rigorous":[46],"methodologies":[47],"scrutinize":[49],"claims,":[50],"verify":[51],"sources,":[52],"expose":[54],"falsehoods.":[55],"However,":[56],"huge":[58],"volume":[59],"content":[61],"circulating":[62],"online":[63],"makes":[64],"it":[65],"challenging":[66],"for":[67,159],"humans":[68],"identify":[70],"manually.":[72],"Automated":[73],"tools":[74],"can":[75],"analyze":[76],"large":[77],"datasets":[78],"detect":[80],"patterns":[81,142],"in":[82,173],"content,":[84],"scaling":[85],"up":[86],"efforts.":[89],"This":[90],"paper":[91],"proposes":[92],"knowledge":[94,103,117,137],"graph-based":[95],"model":[98,115,130],"that":[99],"uses":[100,116],"two":[101,136],"separate":[102],"graphs,":[104],"one":[105],"containing":[106],"true":[107,144],"claims":[108],"other,":[111],"false":[112,146],"claims.":[113,147],"The":[114,127],"graph":[118],"embeddings":[119],"which":[120],"are":[121],"based":[122],"on":[123,133],"convolutional":[124],"neural":[125],"networks.":[126],"deep":[128],"learning":[129],"trained":[132],"above":[135],"graphs":[138],"learn":[140],"distinguishing":[141],"between":[143],"Additionally,":[148],"we":[149],"explainable":[151],"artificial":[152],"intelligence":[153],"(XAI)":[154],"techniques":[155],"provide":[157],"explanations":[158],"model's":[161],"classification,":[162],"reducing":[163],"cost":[164],"errors":[166],"increasing":[168],"transparency":[169],"user":[171],"trust":[172],"system.":[175]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}