{"id":"https://openalex.org/W3161554672","doi":"https://doi.org/10.1109/icassp39728.2021.9414787","title":"SERN: Stance Extraction and Reasoning Network for Fake News Detection","display_name":"SERN: Stance Extraction and Reasoning Network for Fake News Detection","publication_year":2021,"publication_date":"2021-05-13","ids":{"openalex":"https://openalex.org/W3161554672","doi":"https://doi.org/10.1109/icassp39728.2021.9414787","mag":"3161554672"},"language":"en","primary_location":{"id":"doi:10.1109/icassp39728.2021.9414787","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9414787","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5044861736","display_name":"Jianhui Xie","orcid":"https://orcid.org/0000-0001-7019-1170"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhui Xie","raw_affiliation_strings":["Communication and Information Security Lab, Shenzhen Graduate School, Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Communication and Information Security Lab, Shenzhen Graduate School, Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100611147","display_name":"Song Liu","orcid":"https://orcid.org/0000-0003-2827-6319"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Song Liu","raw_affiliation_strings":["Communication and Information Security Lab, Shenzhen Graduate School, Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Communication and Information Security Lab, Shenzhen Graduate School, Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101769299","display_name":"Ruixin Liu","orcid":"https://orcid.org/0000-0002-9911-9233"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruixin Liu","raw_affiliation_strings":["Communication and Information Security Lab, Shenzhen Graduate School, Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Communication and Information Security Lab, Shenzhen Graduate School, Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008382906","display_name":"Yinghong Zhang","orcid":"https://orcid.org/0000-0001-6805-7917"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinghong Zhang","raw_affiliation_strings":["Communication and Information Security Lab, Shenzhen Graduate School, Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Communication and Information Security Lab, Shenzhen Graduate School, Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056706680","display_name":"Yuesheng Zhu","orcid":"https://orcid.org/0000-0003-2524-6800"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuesheng Zhu","raw_affiliation_strings":["Communication and Information Security Lab, Shenzhen Graduate School, Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Communication and Information Security Lab, Shenzhen Graduate School, Peking University","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2520","last_page":"2524"},"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":0.968999981880188,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9544000029563904,"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":0.7716512680053711},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6266330480575562},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5191118717193604},{"id":"https://openalex.org/keywords/fake-news","display_name":"Fake news","score":0.49775198101997375},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4831766188144684},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4726463854312897},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.4461876451969147},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4117850065231323},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3700566589832306},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.16288655996322632},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1368347406387329},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08165702223777771}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7716512680053711},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6266330480575562},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5191118717193604},{"id":"https://openalex.org/C2779756789","wikidata":"https://www.wikidata.org/wiki/Q28549308","display_name":"Fake news","level":2,"score":0.49775198101997375},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4831766188144684},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4726463854312897},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.4461876451969147},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4117850065231323},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3700566589832306},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.16288655996322632},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1368347406387329},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08165702223777771},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp39728.2021.9414787","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9414787","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2737907513","https://openalex.org/W2766462585","https://openalex.org/W2798966390","https://openalex.org/W2803502351","https://openalex.org/W2809476703","https://openalex.org/W2890801081","https://openalex.org/W2896457183","https://openalex.org/W2914246714","https://openalex.org/W2924545743","https://openalex.org/W2946364534","https://openalex.org/W2950720493","https://openalex.org/W2951288507","https://openalex.org/W2951307134","https://openalex.org/W2963341956","https://openalex.org/W2963858333","https://openalex.org/W2970081744","https://openalex.org/W2982137384","https://openalex.org/W2997128522","https://openalex.org/W3004409790","https://openalex.org/W3017402509","https://openalex.org/W3030648110","https://openalex.org/W3032990727","https://openalex.org/W3037987827","https://openalex.org/W3090536330","https://openalex.org/W3099499350","https://openalex.org/W4297730508","https://openalex.org/W4297733535","https://openalex.org/W6745537798","https://openalex.org/W6751322027","https://openalex.org/W6755207826","https://openalex.org/W6759062616","https://openalex.org/W6763331066","https://openalex.org/W6778848071"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2769022579","https://openalex.org/W2890339288","https://openalex.org/W2966672946","https://openalex.org/W3137554057","https://openalex.org/W3015693164","https://openalex.org/W2942388309","https://openalex.org/W2996237090","https://openalex.org/W2375873920","https://openalex.org/W3137972732"],"abstract_inverted_index":{"Fake":[0],"news":[1,26,48,86,107,141],"brings":[2],"us":[3],"panic":[4],"and":[5,54,64,79,96,116,148],"misunderstanding":[6],"against":[7],"the":[8,17,39,72,81,99,106,130,155],"truth,":[9],"especially":[10],"under":[11],"some":[12],"unusual":[13],"circumstances,":[14],"such":[15],"as":[16],"outbreak":[18],"of":[19,102],"COVID-19.":[20],"It\u2019s":[21],"crucial":[22],"to":[23,31,45,70],"detect":[24],"fake":[25,47,85,140],"on":[27,146],"social":[28],"media":[29],"early":[30],"avoid":[32],"further":[33],"propagation.":[34],"Previous":[35],"methods":[36],"manually":[37,89],"label":[38],"stances":[40,73],"implied":[41,74],"in":[42,75,105,129],"post-reply":[43,76],"pairs":[44,77],"aid":[46],"detection,":[49],"which":[50,92],"costs":[51],"much":[52,94],"time":[53,95],"effort.":[55,97],"To":[56],"solve":[57],"this":[58],"problem,":[59],"a":[60,122],"novel":[61],"Stance":[62],"Extraction":[63],"Reasoning":[65],"Network":[66],"(SERN)":[67],"is":[68,108,127],"proposed":[69,128],"extract":[71],"implicitly":[78],"integrate":[80],"stance":[82],"representations":[83],"for":[84,110,113,138],"detection":[87],"without":[88],"labeling":[90],"stances,":[91],"saves":[93],"Besides,":[98],"adequate":[100],"utilization":[101],"multimodal":[103],"content":[104,137],"beneficial":[109],"complementing":[111],"information":[112],"unimodal":[114],"representation":[115],"jointly":[117],"improving":[118],"decision":[119],"confidence.":[120],"Thus,":[121],"sentence-guided":[123],"visual":[124],"attention":[125],"mechanism":[126],"text-image":[131,136],"fusion":[132],"module":[133],"that":[134,151],"leverages":[135],"better":[139],"detection.":[142],"Encouraging":[143],"empirical":[144],"results":[145],"Fakeddit":[147],"PHEME":[149],"demonstrate":[150],"our":[152],"method":[153],"outperforms":[154],"state-of-the-art":[156],"methods.":[157]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}