{"id":"https://openalex.org/W7140992515","doi":"https://doi.org/10.48550/arxiv.2603.25203","title":"Probabilistic Concept Graph Reasoning for Multimodal Misinformation Detection","display_name":"Probabilistic Concept Graph Reasoning for Multimodal Misinformation Detection","publication_year":2026,"publication_date":"2026-03-26","ids":{"openalex":"https://openalex.org/W7140992515","doi":"https://doi.org/10.48550/arxiv.2603.25203"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.25203","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.25203","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.25203","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5130798216","display_name":"Ruichao Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yang, Ruichao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130734947","display_name":"Wei Gao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gao, Wei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124787294","display_name":"Xiaobin Zhu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhu, Xiaobin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130725701","display_name":"Jing Ma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Jing","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130736674","display_name":"Hongzhan Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin, Hongzhan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130809708","display_name":"Ziyang Luo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luo, Ziyang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130742158","display_name":"Bo-Wen Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Bo-Wen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5074514262","display_name":"Xu-Cheng Yin","orcid":"https://orcid.org/0000-0003-0023-0220"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yin, Xu-Cheng","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5130798216"],"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.7027000188827515,"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":0.7027000188827515,"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":0.10100000351667404,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.07999999821186066,"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/probabilistic-logic","display_name":"Probabilistic logic","score":0.6926000118255615},{"id":"https://openalex.org/keywords/misinformation","display_name":"Misinformation","score":0.6499999761581421},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5110999941825867},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.42419999837875366},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.3723999857902527}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7443000078201294},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6926000118255615},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6721000075340271},{"id":"https://openalex.org/C2776990098","wikidata":"https://www.wikidata.org/wiki/Q13579947","display_name":"Misinformation","level":2,"score":0.6499999761581421},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5110999941825867},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4715999960899353},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.42419999837875366},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.3723999857902527},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.33550000190734863},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.2976999878883362},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.2955999970436096}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.25203","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.25203","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.25203","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.25203","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Multimodal":[0],"misinformation":[1,37],"poses":[2],"an":[3,29],"escalating":[4],"challenge":[5],"that":[6,34,98],"often":[7],"evades":[8],"traditional":[9],"detectors,":[10],"which":[11,50],"are":[12],"opaque":[13],"black":[14],"boxes":[15],"and":[16,31,42,65,73,104,117],"fragile":[17],"against":[18],"new":[19],"manipulation":[20,108,119],"tactics.":[21],"We":[22],"present":[23],"Probabilistic":[24],"Concept":[25],"Graph":[26],"Reasoning":[27],"(PCGR),":[28],"interpretable":[30,89],"evolvable":[32],"framework":[33],"reframes":[35],"multimodal":[36,68],"detection":[38,116],"(MMD)":[39],"as":[40],"structured":[41],"concept-based":[43],"reasoning.":[44],"PCGR":[45,99],"follows":[46],"a":[47,53],"build-then-infer":[48],"paradigm,":[49],"first":[51],"constructs":[52],"graph":[54,81],"of":[55],"human-understandable":[56],"concept":[57,80],"nodes,":[58],"including":[59],"novel":[60],"high-level":[61],"concepts":[62],"automatically":[63],"discovered":[64],"validated":[66],"by":[67],"large":[69],"language":[70],"models":[71],"(MLLMs),":[72],"then":[74],"applies":[75],"hierarchical":[76],"attention":[77],"over":[78],"this":[79],"to":[82,94,106],"infer":[83],"claim":[84],"veracity.":[85],"This":[86],"design":[87],"produces":[88],"reasoning":[90],"chains":[91],"linking":[92],"evidence":[93],"conclusions.":[95],"Experiments":[96],"demonstrate":[97],"achieves":[100],"state-of-the-art":[101],"MMD":[102],"accuracy":[103],"robustness":[105],"emerging":[107],"types,":[109],"outperforming":[110],"prior":[111],"methods":[112],"in":[113],"both":[114],"coarse":[115],"fine-grained":[118],"recognition.":[120]},"counts_by_year":[],"updated_date":"2026-03-28T06:16:51.555046","created_date":"2026-03-28T00:00:00"}
