{"id":"https://openalex.org/W4396723114","doi":"https://doi.org/10.1145/3589334.3645471","title":"Explainable Fake News Detection with Large Language Model via Defense Among Competing Wisdom","display_name":"Explainable Fake News Detection with Large Language Model via Defense Among Competing Wisdom","publication_year":2024,"publication_date":"2024-05-08","ids":{"openalex":"https://openalex.org/W4396723114","doi":"https://doi.org/10.1145/3589334.3645471"},"language":"en","primary_location":{"id":"doi:10.1145/3589334.3645471","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3589334.3645471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2024","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/A5100407999","display_name":"Bo Wang","orcid":"https://orcid.org/0000-0001-7158-7046"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]},{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Bo Wang","raw_affiliation_strings":["School of Artificial Intelligence, Jilin University & Hong Kong Baptist University, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0001-7158-7046","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Jilin University & Hong Kong Baptist University, Changchun, China","institution_ids":["https://openalex.org/I141568987","https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034823980","display_name":"Jing Ma","orcid":"https://orcid.org/0000-0002-7464-8331"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jing Ma","raw_affiliation_strings":["Hong Kong Baptist University, Hong Kong SAR, China"],"raw_orcid":"https://orcid.org/0000-0002-7464-8331","affiliations":[{"raw_affiliation_string":"Hong Kong Baptist University, Hong Kong SAR, China","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078451082","display_name":"Hongzhan Lin","orcid":"https://orcid.org/0000-0002-4111-8334"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Hongzhan Lin","raw_affiliation_strings":["Hong Kong Baptist University, Hong Kong SAR, China"],"raw_orcid":"https://orcid.org/0000-0002-4111-8334","affiliations":[{"raw_affiliation_string":"Hong Kong Baptist University, Hong Kong SAR, China","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051367545","display_name":"Zhiwei Yang","orcid":"https://orcid.org/0000-0002-0534-158X"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwei Yang","raw_affiliation_strings":["Guangdong Institute of Smart Education, Jinan University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0534-158X","affiliations":[{"raw_affiliation_string":"Guangdong Institute of Smart Education, Jinan University, Guangzhou, China","institution_ids":["https://openalex.org/I159948400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017322880","display_name":"Ruichao Yang","orcid":"https://orcid.org/0000-0003-3749-3622"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Ruichao Yang","raw_affiliation_strings":["Hong Kong Baptist University, Hong Kong SAR, China"],"raw_orcid":"https://orcid.org/0000-0003-3749-3622","affiliations":[{"raw_affiliation_string":"Hong Kong Baptist University, Hong Kong SAR, China","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100716461","display_name":"Yuan Tian","orcid":"https://orcid.org/0000-0003-1242-6714"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Tian","raw_affiliation_strings":["School of Artificial Intelligence, Jilin University, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0003-1242-6714","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029392006","display_name":"Yi Chang","orcid":"https://orcid.org/0000-0003-2697-8093"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Chang","raw_affiliation_strings":["School of Artificial Intelligence, Jilin University, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0003-2697-8093","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":51.2259,"has_fulltext":false,"cited_by_count":52,"citation_normalized_percentile":{"value":0.99906424,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2452","last_page":"2463"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9957000017166138,"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":0.9775999784469604,"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/fake-news","display_name":"Fake news","score":0.7094824314117432},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6551414728164673},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.4141894578933716},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.37668582797050476},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.3090369701385498}],"concepts":[{"id":"https://openalex.org/C2779756789","wikidata":"https://www.wikidata.org/wiki/Q28549308","display_name":"Fake news","level":2,"score":0.7094824314117432},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6551414728164673},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4141894578933716},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.37668582797050476},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.3090369701385498}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3589334.3645471","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3589334.3645471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2024","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2424495361","https://openalex.org/W2594382603","https://openalex.org/W2798966390","https://openalex.org/W2946327826","https://openalex.org/W2951307134","https://openalex.org/W2954646118","https://openalex.org/W2964068236","https://openalex.org/W3101408904","https://openalex.org/W3128497535","https://openalex.org/W3173510178","https://openalex.org/W3176191710","https://openalex.org/W4226103313","https://openalex.org/W4322718191","https://openalex.org/W4327811957","https://openalex.org/W4362598574","https://openalex.org/W4378472968","https://openalex.org/W4383605161","https://openalex.org/W4385764438","https://openalex.org/W4386437523","https://openalex.org/W4386874846","https://openalex.org/W4386977928","https://openalex.org/W6601141708"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2890339288","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2966672946","https://openalex.org/W2376932109"],"abstract_inverted_index":{"Most":[0],"fake":[1,83,104,194],"news":[2,23,84,105,195],"detection":[3,106,196],"methods":[4],"learn":[5],"latent":[6],"feature":[7],"representations":[8],"based":[9],"on":[10,179],"neural":[11],"networks,":[12],"which":[13,37],"makes":[14],"them":[15],"black":[16],"boxes":[17],"to":[18,54,116,149,166],"classify":[19],"a":[20,86,100,140,145,162],"piece":[21],"of":[22,62,77,88,120,193],"without":[24],"giving":[25],"any":[26],"justification.":[27],"Existing":[28],"explainable":[29,103],"systems":[30],"generate":[31,150],"veracity":[32,168],"justifications":[33,151],"from":[34,39,85,135],"investigative":[35],"journalism,":[36],"suffer":[38],"debunking":[40],"delayed":[41],"and":[42,91,126,197],"low":[43],"efficiency.":[44],"Recent":[45],"studies":[46],"simply":[47],"assume":[48],"that":[49,143,184],"the":[50,55,60,65,75,118,171],"justification":[51],"is":[52,79],"equivalent":[53],"majority":[56],"opinions":[57,66],"expressed":[58],"in":[59,95,191],"wisdom":[61,76,119],"crowds.":[63],"However,":[64],"typically":[67],"contain":[68],"some":[69],"inaccurate":[70],"or":[71],"biased":[72],"information":[73],"since":[74],"crowds":[78,121],"uncensored.":[80],"To":[81,131],"detect":[82,128],"sea":[87],"diverse,":[89],"crowded":[90],"even":[92],"competing":[93,124],"narratives,":[94],"this":[96],"paper,":[97],"we":[98,109,137,160],"propose":[99,111,161],"novel":[101],"defense-based":[102,163],"framework.":[107],"Specifically,":[108],"first":[110],"an":[112],"evidence":[113],"extraction":[114],"module":[115,142,165],"split":[117],"into":[122],"two":[123,156,180],"parties":[125],"respectively":[127],"salient":[129],"evidences.":[130],"gain":[132],"concise":[133],"insights":[134],"evidences,":[136],"then":[138],"design":[139],"prompt-based":[141],"utilizes":[144],"large":[146],"language":[147],"model":[148],"by":[152],"inferring":[153],"reasons":[154],"towards":[155],"possible":[157],"veracities.":[158],"Finally,":[159],"inference":[164],"determine":[167],"via":[169],"modeling":[170],"defense":[172],"among":[173],"these":[174],"justifications.":[175,200],"Extensive":[176],"experiments":[177],"conducted":[178],"real-world":[181],"benchmarks":[182],"demonstrate":[183],"our":[185],"proposed":[186],"method":[187],"outperforms":[188],"state-of-the-art":[189],"baselines":[190],"terms":[192],"provides":[198],"high-quality":[199]},"counts_by_year":[{"year":2026,"cited_by_count":13},{"year":2025,"cited_by_count":33},{"year":2024,"cited_by_count":6}],"updated_date":"2026-06-13T07:54:00.901334","created_date":"2025-10-10T00:00:00"}