{"id":"https://openalex.org/W2799153978","doi":"https://doi.org/10.1109/asonam.2018.8508241","title":"Semi-supervised Content-Based Detection of Misinformation via Tensor Embeddings","display_name":"Semi-supervised Content-Based Detection of Misinformation via Tensor Embeddings","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2799153978","doi":"https://doi.org/10.1109/asonam.2018.8508241","mag":"2799153978"},"language":"en","primary_location":{"id":"doi:10.1109/asonam.2018.8508241","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam.2018.8508241","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1804.09088","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087176765","display_name":"Gisel Bastidas Guacho","orcid":null},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Gisel Bastidas Guacho","raw_affiliation_strings":["UC Riverside","UC Riverside,"],"affiliations":[{"raw_affiliation_string":"UC Riverside","institution_ids":["https://openalex.org/I103635307"]},{"raw_affiliation_string":"UC Riverside,","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082886672","display_name":"Sara Abdali","orcid":"https://orcid.org/0000-0002-4603-7381"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sara Abdali","raw_affiliation_strings":["UC Riverside","UC Riverside,"],"affiliations":[{"raw_affiliation_string":"UC Riverside","institution_ids":["https://openalex.org/I103635307"]},{"raw_affiliation_string":"UC Riverside,","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101799872","display_name":"Neil Shah","orcid":"https://orcid.org/0000-0003-3261-8430"},"institutions":[{"id":"https://openalex.org/I4210142583","display_name":"Snap (United States)","ror":"https://ror.org/04dgkhg68","country_code":"US","type":"company","lineage":["https://openalex.org/I4210142583"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Neil Shah","raw_affiliation_strings":["Snap Inc"],"affiliations":[{"raw_affiliation_string":"Snap Inc","institution_ids":["https://openalex.org/I4210142583"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054849323","display_name":"Evangelos E. Papalexakis","orcid":"https://orcid.org/0000-0002-3411-8483"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Evangelos E. Papalexakis","raw_affiliation_strings":["UC Riverside","UC Riverside,"],"affiliations":[{"raw_affiliation_string":"UC Riverside","institution_ids":["https://openalex.org/I103635307"]},{"raw_affiliation_string":"UC Riverside,","institution_ids":["https://openalex.org/I103635307"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5087176765"],"corresponding_institution_ids":["https://openalex.org/I103635307"],"apc_list":null,"apc_paid":null,"fwci":5.939,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.95811629,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"322","last_page":"325"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9958000183105469,"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/T10028","display_name":"Topic Modeling","score":0.9926000237464905,"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":0.7732473015785217},{"id":"https://openalex.org/keywords/misinformation","display_name":"Misinformation","score":0.7410218715667725},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6623213887214661},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6080130338668823},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5941001176834106},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5392976403236389},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4916606545448303},{"id":"https://openalex.org/keywords/fake-news","display_name":"Fake news","score":0.48836061358451843},{"id":"https://openalex.org/keywords/tensor-decomposition","display_name":"Tensor decomposition","score":0.4594041407108307},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4515121281147003},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4329407215118408},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43131282925605774},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.39339298009872437},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32663947343826294},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.10395088791847229},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10049259662628174}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7732473015785217},{"id":"https://openalex.org/C2776990098","wikidata":"https://www.wikidata.org/wiki/Q13579947","display_name":"Misinformation","level":2,"score":0.7410218715667725},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6623213887214661},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6080130338668823},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5941001176834106},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5392976403236389},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4916606545448303},{"id":"https://openalex.org/C2779756789","wikidata":"https://www.wikidata.org/wiki/Q28549308","display_name":"Fake news","level":2,"score":0.48836061358451843},{"id":"https://openalex.org/C2986737658","wikidata":"https://www.wikidata.org/wiki/Q30103009","display_name":"Tensor decomposition","level":3,"score":0.4594041407108307},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4515121281147003},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4329407215118408},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43131282925605774},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.39339298009872437},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32663947343826294},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.10395088791847229},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10049259662628174},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/asonam.2018.8508241","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam.2018.8508241","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1804.09088","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1804.09088","pdf_url":"https://arxiv.org/pdf/1804.09088","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.1804.09088","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1804.09088","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"},{"id":"mag:2799153978","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1804.09088","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1804.09088","pdf_url":"https://arxiv.org/pdf/1804.09088","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6499999761581421,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2799153978.pdf","grobid_xml":"https://content.openalex.org/works/W2799153978.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1796766288","https://openalex.org/W1906783320","https://openalex.org/W1973668723","https://openalex.org/W1975594555","https://openalex.org/W1999668761","https://openalex.org/W2011863672","https://openalex.org/W2041614930","https://openalex.org/W2050619059","https://openalex.org/W2084591134","https://openalex.org/W2116247756","https://openalex.org/W2121739212","https://openalex.org/W2159981908","https://openalex.org/W2398287226","https://openalex.org/W2512009388","https://openalex.org/W2516338333","https://openalex.org/W2528907418","https://openalex.org/W2577888896","https://openalex.org/W2604264634","https://openalex.org/W2604849625","https://openalex.org/W2742330194","https://openalex.org/W2763572884","https://openalex.org/W2949813784","https://openalex.org/W2950711830","https://openalex.org/W6639839111","https://openalex.org/W6683602473","https://openalex.org/W6726408199","https://openalex.org/W6732431570","https://openalex.org/W6735963731"],"related_works":["https://openalex.org/W3201984752","https://openalex.org/W2516338333","https://openalex.org/W2084591134","https://openalex.org/W2772315370","https://openalex.org/W2978535126","https://openalex.org/W2742330194","https://openalex.org/W2604264634","https://openalex.org/W3090676761","https://openalex.org/W3159685758","https://openalex.org/W3070920170","https://openalex.org/W3127196078","https://openalex.org/W2945456403","https://openalex.org/W3145559346","https://openalex.org/W2896901281","https://openalex.org/W2987098737","https://openalex.org/W2891672860","https://openalex.org/W2909469631","https://openalex.org/W3189721578","https://openalex.org/W3033229230","https://openalex.org/W2946433668"],"abstract_inverted_index":{"Fake":[0],"news":[1,28,77,125,144],"may":[2],"be":[3,117],"intentionally":[4],"created":[5],"to":[6,16,133,150],"promote":[7],"economic,":[8],"political":[9],"and":[10,13,22,54,146],"social":[11],"interests,":[12],"can":[14],"lead":[15],"negative":[17],"impacts":[18],"on":[19,46,50,72,155,162,170],"humans":[20],"beliefs":[21],"decisions.":[23],"Hence,":[24],"detection":[25,74,184],"of":[26,62,75,87,108,111,114,124,196,201,203,218,227],"fake":[27,76],"is":[29,100],"an":[30,152,208],"emerging":[31],"problem":[32],"that":[33,81,138,166,180],"has":[34],"become":[35],"extremely":[36],"prevalent":[37],"during":[38],"the":[39,106],"last":[40],"few":[41],"years.":[42],"Most":[43],"existing":[44,175],"works":[45],"this":[47,99],"topic":[48],"focus":[49,71],"manual":[51,92],"feature":[52],"extraction":[53],"supervised":[55,177],"classification":[56],"models":[57],"leveraging":[58],"a":[59,84,101,204,221],"large":[60,222],"number":[61],"labeled":[63],"(fake":[64],"or":[65,94,172],"real)":[66],"articles.":[67],"In":[68,189],"contrast,":[69],"we":[70,82,121,157,181],"content-based":[73],"articles,":[78],"while":[79,207],"assuming":[80],"have":[83],"small":[85],"amount":[86],"labels,":[88],"made":[89],"available":[90],"by":[91],"fact-checkers":[93],"automated":[95],"sources.":[96],"We":[97],"argue":[98],"more":[102],"realistic":[103],"setting":[104],"in":[105,179,220],"presence":[107],"massive":[109],"amounts":[110],"content,":[112],"most":[113],"which":[115,156],"cannot":[116],"easily":[118],"fact-checked.":[119],"So,":[120],"represent":[122],"collections":[123],"articles":[126],"as":[127],"multi-dimensional":[128],"tensors,":[129],"leverage":[130],"tensor":[131],"decomposition":[132],"derive":[134],"concise":[135],"article":[136],"embeddings":[137,149],"capture":[139],"spatial/contextual":[140],"information":[141],"about":[142],"each":[143],"article,":[145],"use":[147],"those":[148],"create":[151],"article-by-article":[153],"graph":[154],"propagate":[158],"limited":[159],"labels.":[160,188,228],"Results":[161],"real-world":[163],"datasets":[164],"show":[165],"our":[167,191,214],"method":[168,193,215],"performs":[169],"par":[171],"better":[173,183],"than":[174],"fully":[176],"models,":[178],"achieve":[182],"accuracy":[185,197,219],"using":[186,198,224],"fewer":[187],"particular,":[190],"proposed":[192],"achieves":[194,216],"75.43%":[195],"only":[199,225],"30%":[200],"labels":[202],"public":[205],"dataset":[206,223],"SVM-based":[209],"classifier":[210],"achieved":[211],"67.43%.":[212],"Furthermore,":[213],"70.92%":[217],"2%":[226]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}