{"id":"https://openalex.org/W7167928975","doi":"https://doi.org/10.1145/3805712.3809585","title":"Mitigating Adversarial Attacks by Transferring LLM-generated Narrative Reasoning for Robust Fake News Detection","display_name":"Mitigating Adversarial Attacks by Transferring LLM-generated Narrative Reasoning for Robust Fake News Detection","publication_year":2026,"publication_date":"2026-07-10","ids":{"openalex":"https://openalex.org/W7167928975","doi":"https://doi.org/10.1145/3805712.3809585"},"language":null,"primary_location":{"id":"doi:10.1145/3805712.3809585","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805712.3809585","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3805712.3809585","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084150182","display_name":"Mengyang Chen","orcid":"https://orcid.org/0000-0002-2813-8429"},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengyang Chen","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China and School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0006-5592-4595","affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China and School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078929115","display_name":"Lingwei Wei","orcid":"https://orcid.org/0000-0002-7058-2662"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingwei Wei","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7058-2662","affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001673339","display_name":"Wei Zhou","orcid":"https://orcid.org/0000-0001-7834-0839"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhou","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7834-0839","affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018288181","display_name":"Songlin Hu","orcid":"https://orcid.org/0000-0002-7170-3809"},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songlin Hu","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China and School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7170-3809","affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China and School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"190","last_page":"201"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9465000033378601,"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":0.9465000033378601,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.028999999165534973,"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.004000000189989805,"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/adversarial-system","display_name":"Adversarial system","score":0.6622999906539917},{"id":"https://openalex.org/keywords/narrative","display_name":"Narrative","score":0.649399995803833},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6244999766349792},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5561000108718872},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5188999772071838},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5181000232696533},{"id":"https://openalex.org/keywords/fake-news","display_name":"Fake news","score":0.45910000801086426},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.4153999984264374}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7602999806404114},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6622999906539917},{"id":"https://openalex.org/C199033989","wikidata":"https://www.wikidata.org/wiki/Q1318295","display_name":"Narrative","level":2,"score":0.649399995803833},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6244999766349792},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5561000108718872},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5188999772071838},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5181000232696533},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5091000199317932},{"id":"https://openalex.org/C2779756789","wikidata":"https://www.wikidata.org/wiki/Q28549308","display_name":"Fake news","level":2,"score":0.45910000801086426},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.4153999984264374},{"id":"https://openalex.org/C193221554","wikidata":"https://www.wikidata.org/wiki/Q5153664","display_name":"Commonsense reasoning","level":2,"score":0.40389999747276306},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.36149999499320984},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.34049999713897705},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3176000118255615},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2809999883174896},{"id":"https://openalex.org/C62989814","wikidata":"https://www.wikidata.org/wiki/Q854648","display_name":"Gossip","level":2,"score":0.2754000127315521},{"id":"https://openalex.org/C152948882","wikidata":"https://www.wikidata.org/wiki/Q4060686","display_name":"Belief propagation","level":3,"score":0.27459999918937683},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.27309998869895935},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.27160000801086426},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.2669999897480011},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2644999921321869},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.25999999046325684},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2540999948978424},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.25130000710487366}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3805712.3809585","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805712.3809585","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3805712.3809585","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805712.3809585","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.48244038224220276,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2084591134","https://openalex.org/W2737907513","https://openalex.org/W2742144412","https://openalex.org/W2742330194","https://openalex.org/W2788235048","https://openalex.org/W2798787718","https://openalex.org/W2951307134","https://openalex.org/W2997128522","https://openalex.org/W3174872448","https://openalex.org/W4286579120","https://openalex.org/W4319320113","https://openalex.org/W4327532556","https://openalex.org/W4393156111","https://openalex.org/W4393160654","https://openalex.org/W4396757539","https://openalex.org/W4401213616","https://openalex.org/W4401863513","https://openalex.org/W4402670869","https://openalex.org/W4403577882","https://openalex.org/W4409157937","https://openalex.org/W4409363977","https://openalex.org/W4409364401","https://openalex.org/W4410088866","https://openalex.org/W4410089540","https://openalex.org/W4412396151","https://openalex.org/W4412945350","https://openalex.org/W4412945605","https://openalex.org/W4412945648","https://openalex.org/W7103752802"],"related_works":[],"abstract_inverted_index":{"Propagation-based":[0],"fake":[1,82],"news":[2,9,83],"detectors":[3],"primarily":[4],"extract":[5],"structural":[6,49],"patterns":[7],"from":[8],"propagation":[10,102,122,127],"trees":[11],"via":[12,134,141],"graph":[13,139],"neural":[14],"networks":[15],"(GNNs),":[16],"which":[17],"are":[18],"crucial":[19],"for":[20,80],"trustworthy":[21],"information":[22],"access":[23],"on":[24,145],"social":[25],"platforms.":[26],"However,":[27],"these":[28],"systems":[29],"remain":[30],"vulnerable":[31],"to":[32,54,99,116],"adversarial":[33],"message":[34],"injection,":[35],"increasingly":[36],"enabled":[37],"by":[38],"large":[39],"language":[40],"models":[41],"(LLMs).":[42],"Such":[43],"attacks":[44,163],"pollute":[45],"both":[46],"semantic":[47,119],"and":[48,59,104,137],"signals,":[50],"causing":[51],"GNN-based":[52],"aggregators":[53],"fuse":[55],"logically":[56],"conflicting":[57],"content":[58],"yield":[60],"unreliable":[61,131],"representations.":[62],"To":[63],"address":[64],"this,":[65],"we":[66,92,110],"propose":[67],"LLM-TKT,":[68],"a":[69,112],"novel":[70],"framework":[71,86],"that":[72,150],"distills":[73],"LLM-based":[74],"narrative":[75,97,114],"reasoning":[76],"into":[77],"lightweight":[78],"GNNs":[79],"robust":[81],"detection.":[84],"The":[85],"operates":[87],"in":[88,157],"two":[89],"stages.":[90],"First,":[91],"construct":[93],"an":[94],"offline":[95],"LLM-driven":[96,161],"hub":[98],"synthesize":[100],"global":[101,142],"narratives":[103],"diagnose":[105],"local":[106,135],"node-level":[107],"coherence.":[108],"Second,":[109],"design":[111],"dual-level":[113],"alignment":[115],"learn":[117],"the":[118,124],"invariance":[120],"of":[121,126],"with":[123],"guidance":[125],"narratives.":[128],"It":[129],"filters":[130],"neighbor":[132],"nodes":[133],"consistency":[136],"optimizes":[138],"representations":[140],"anchoring.":[143],"Experiments":[144],"three":[146],"real-world":[147],"datasets":[148],"demonstrate":[149],"LLM-TKT":[151],"significantly":[152],"outperforms":[153],"existing":[154],"methods,":[155],"particularly":[156],"defending":[158],"against":[159],"sophisticated":[160],"injection":[162],"without":[164],"incurring":[165],"runtime":[166],"LLM":[167],"inference":[168],"costs.":[169]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2026-07-11T00:00:00"}