{"id":"https://openalex.org/W3200364215","doi":null,"title":"Hetero-SCAN: Towards Social Context Aware Fake News Detection via Heterogeneous Graph Neural Network.","display_name":"Hetero-SCAN: Towards Social Context Aware Fake News Detection via Heterogeneous Graph Neural Network.","publication_year":2021,"publication_date":"2021-09-13","ids":{"openalex":"https://openalex.org/W3200364215","mag":"3200364215"},"language":"en","primary_location":{"id":"mag:3200364215","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2109.08022","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2109.08022","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100763243","display_name":"Jian Cui","orcid":"https://orcid.org/0000-0002-5212-0501","observed_orcids":["https://orcid.org/0000-0002-5212-0501"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jian Cui","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-5212-0501","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005862316","display_name":"Kwanwoo Kim","orcid":"https://orcid.org/0000-0001-5838-384X","observed_orcids":["https://orcid.org/0000-0001-5838-384X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kwanwoo Kim","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020454074","display_name":"Seung Ho Na","orcid":"https://orcid.org/0000-0003-0908-1233","observed_orcids":["https://orcid.org/0000-0003-0908-1233"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Seung Ho Na","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-0908-1233","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5084473174","display_name":"Seungwon Shin","orcid":"https://orcid.org/0000-0002-1077-5606","observed_orcids":["https://orcid.org/0000-0002-1077-5606"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Seungwon Shin","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-1077-5606","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"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":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/T11644","display_name":"Spam and Phishing Detection","score":9.999999747378752e-05,"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"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.0,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/fake-news-detection","display_name":"fake news detection","score":1.0},{"id":"https://openalex.org/keywords/misinformation","display_name":"misinformation","score":0.6959999799728394},{"id":"https://openalex.org/keywords/heterogeneous-graph-neural-networks","display_name":"heterogeneous graph neural networks","score":0.8809999823570251},{"id":"https://openalex.org/keywords/social-environment","display_name":"social environment","score":0.9629999995231628},{"id":"https://openalex.org/keywords/user-engagement","display_name":"user engagement","score":0.6790000200271606},{"id":"https://openalex.org/keywords/temporal-information","display_name":"temporal information","score":0.8619999885559082},{"id":"https://openalex.org/keywords/end-to-end-learning","display_name":"end-to-end learning","score":0.753000020980835}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7796939611434937},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.611878514289856},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.4700792133808136},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.46056634187698364},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4490792751312256},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.4315890967845917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40211188793182373},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.38146865367889404},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3239496350288391},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2958095073699951},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.2074832320213318},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.20674997568130493},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:3200364215","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2109.08022","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null}],"best_oa_location":{"id":"mag:3200364215","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2109.08022","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1507075132","https://openalex.org/W1532503642","https://openalex.org/W1924770834","https://openalex.org/W2124637344","https://openalex.org/W2131744502","https://openalex.org/W2283196293","https://openalex.org/W2339329611","https://openalex.org/W2519887557","https://openalex.org/W2577888896","https://openalex.org/W2593408211","https://openalex.org/W2624431344","https://openalex.org/W2749784378","https://openalex.org/W2763572884","https://openalex.org/W2766453196","https://openalex.org/W2809476703","https://openalex.org/W2906971970","https://openalex.org/W2909137510","https://openalex.org/W2911286998","https://openalex.org/W2912305564","https://openalex.org/W2915177913","https://openalex.org/W2951307134","https://openalex.org/W2962756421","https://openalex.org/W2965857891","https://openalex.org/W2996851481","https://openalex.org/W3000155280","https://openalex.org/W3003836855","https://openalex.org/W3004507689","https://openalex.org/W3031781733","https://openalex.org/W3038570070","https://openalex.org/W3049697419","https://openalex.org/W3070920170","https://openalex.org/W3081942662","https://openalex.org/W3121309663","https://openalex.org/W3128497535","https://openalex.org/W6950194991"],"related_works":["https://openalex.org/W4327644078","https://openalex.org/W3212591930","https://openalex.org/W4394898090","https://openalex.org/W3159986523","https://openalex.org/W4224310546","https://openalex.org/W4385894011","https://openalex.org/W3202630045","https://openalex.org/W4293451208","https://openalex.org/W4412171377","https://openalex.org/W4312623522"],"abstract_inverted_index":{"Fake":[0],"news,":[1,8],"false":[2],"or":[3,82,121],"misleading":[4],"information":[5,77,143],"presented":[6],"as":[7,19,79,118],"has":[9],"a":[10,103,154,166],"great":[11],"impact":[12],"on":[13,42,165],"many":[14,28],"aspects":[15],"of":[16,106,126,134,141,180,204],"society,":[17],"such":[18,78,117],"politics":[20],"and":[21,137,196,206],"healthcare.":[22],"To":[23,63],"handle":[24],"this":[25],"emerging":[26],"problem,":[27],"fake":[29,53,66,159,198],"news":[30,54,56,67,135,160,174,181,199],"detection":[31,161,200],"methods":[32,88,201],"have":[33],"been":[34],"proposed,":[35],"applying":[36],"Natural":[37],"Language":[38],"Processing":[39],"(NLP)":[40],"techniques":[41],"the":[43,74,92,110,113,139,149,173,177],"article":[44],"text.":[45],"Considering":[46],"that":[47,188],"even":[48],"people":[49],"cannot":[50],"easily":[51],"distinguish":[52],"by":[55],"content,":[57],"these":[58],"text-based":[59,195],"solutions":[60],"are":[61],"insufficient.":[62],"further":[64],"improve":[65],"detection,":[68,123],"researchers":[69],"suggested":[70],"graph-based":[71,87,197],"solutions,":[72],"utilizing":[73],"social":[75,128,156],"context":[76,129,157],"user":[80,107],"engagement":[81],"publishers":[83],"information.":[84],"However,":[85],"existing":[86],"still":[89],"suffer":[90],"from":[91,176],"following":[93],"four":[94],"major":[95],"drawbacks:":[96],"1)":[97],"expensive":[98],"computational":[99],"cost":[100],"due":[101,130],"to":[102,131,147],"large":[104],"number":[105],"nodes":[108],"in":[109,115,182,202],"graph,":[111],"2)":[112],"error":[114],"sub-tasks,":[116],"textual":[119],"encoding":[120],"stance":[122],"3)":[124],"loss":[125],"rich":[127],"homogeneous":[132],"representation":[133,175],"graphs,":[136],"4)":[138],"absence":[140],"temporal":[142],"utilization.":[144],"In":[145],"order":[146],"overcome":[148],"aforementioned":[150],"issues,":[151],"we":[152],"propose":[153],"novel":[155],"aware":[158],"method,":[162],"Hetero-SCAN,":[163],"based":[164],"heterogeneous":[167,178],"graph":[168,179],"neural":[169],"network.":[170],"Hetero-SCAN":[171,189],"learns":[172],"an":[183],"end-to-end":[184],"manner.":[185],"We":[186],"demonstrate":[187],"yields":[190],"significant":[191],"improvement":[192],"over":[193],"state-of-the-art":[194],"terms":[203],"performance":[205],"efficiency.":[207]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2021-09-27T00:00:00"}