{"id":"https://openalex.org/W3007154278","doi":"https://doi.org/10.1109/imcom48794.2020.9001800","title":"Multi-Modal Component Embedding for Fake News Detection","display_name":"Multi-Modal Component Embedding for Fake News Detection","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3007154278","doi":"https://doi.org/10.1109/imcom48794.2020.9001800","mag":"3007154278"},"language":"en","primary_location":{"id":"doi:10.1109/imcom48794.2020.9001800","is_oa":false,"landing_page_url":"https://doi.org/10.1109/imcom48794.2020.9001800","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 14th International Conference on Ubiquitous Information Management and Communication (IMCOM)","raw_type":"proceedings-article"},"type":"article","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/A5075832345","display_name":"SeongKu Kang","orcid":"https://orcid.org/0000-0001-5528-1426"},"institutions":[{"id":"https://openalex.org/I2799891827","display_name":"Korea Post","ror":"https://ror.org/00p45d091","country_code":"KR","type":"government","lineage":["https://openalex.org/I2799891827","https://openalex.org/I2801339556","https://openalex.org/I4387152098"]},{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"SeongKu Kang","raw_affiliation_strings":["Dept. of Computer Science and Engineering, POSTECH, South Korea"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engineering, POSTECH, South Korea","institution_ids":["https://openalex.org/I2799891827","https://openalex.org/I123900574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103891127","display_name":"Junyoung Hwang","orcid":null},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]},{"id":"https://openalex.org/I2799891827","display_name":"Korea Post","ror":"https://ror.org/00p45d091","country_code":"KR","type":"government","lineage":["https://openalex.org/I2799891827","https://openalex.org/I2801339556","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Junyoung Hwang","raw_affiliation_strings":["Dept. of Computer Science and Engineering, POSTECH, South Korea"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engineering, POSTECH, South Korea","institution_ids":["https://openalex.org/I2799891827","https://openalex.org/I123900574"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110321280","display_name":"Hwanjo Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]},{"id":"https://openalex.org/I2799891827","display_name":"Korea Post","ror":"https://ror.org/00p45d091","country_code":"KR","type":"government","lineage":["https://openalex.org/I2799891827","https://openalex.org/I2801339556","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hwanjo Yu","raw_affiliation_strings":["Dept. of Computer Science and Engineering, POSTECH, South Korea"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engineering, POSTECH, South Korea","institution_ids":["https://openalex.org/I2799891827","https://openalex.org/I123900574"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5075832345"],"corresponding_institution_ids":["https://openalex.org/I123900574","https://openalex.org/I2799891827"],"apc_list":null,"apc_paid":null,"fwci":4.5343,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.94961964,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9954000115394592,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9925000071525574,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.8099443912506104},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7260452508926392},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.6503905057907104},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.628098726272583},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5799999237060547},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5776654481887817},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5427785515785217},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4141885042190552},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37315547466278076},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10477849841117859}],"concepts":[{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.8099443912506104},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7260452508926392},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6503905057907104},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.628098726272583},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5799999237060547},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5776654481887817},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5427785515785217},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4141885042190552},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37315547466278076},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10477849841117859},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/imcom48794.2020.9001800","is_oa":false,"landing_page_url":"https://doi.org/10.1109/imcom48794.2020.9001800","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 14th International Conference on Ubiquitous Information Management and Communication (IMCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1546111015","https://openalex.org/W1686810756","https://openalex.org/W1731081199","https://openalex.org/W1832693441","https://openalex.org/W2032897813","https://openalex.org/W2084591134","https://openalex.org/W2187098286","https://openalex.org/W2296241532","https://openalex.org/W2398287226","https://openalex.org/W2402144811","https://openalex.org/W2424495361","https://openalex.org/W2531862055","https://openalex.org/W2577888896","https://openalex.org/W2582561810","https://openalex.org/W2742330194","https://openalex.org/W2766462585","https://openalex.org/W2808228212","https://openalex.org/W2809476703","https://openalex.org/W2906971970","https://openalex.org/W2953384591","https://openalex.org/W2963523292","https://openalex.org/W2964121744","https://openalex.org/W2987219395","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6637618735","https://openalex.org/W6686778916","https://openalex.org/W6697226171","https://openalex.org/W6713134421","https://openalex.org/W6728494295","https://openalex.org/W6732431570"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W2357256365","https://openalex.org/W2348502264","https://openalex.org/W2345479200","https://openalex.org/W2183306018","https://openalex.org/W2365486383","https://openalex.org/W2362059367","https://openalex.org/W2901443725","https://openalex.org/W2758516947","https://openalex.org/W2981505569"],"abstract_inverted_index":{"As":[0],"numerous":[1],"fake":[2,11,40,81,165],"news":[3,12,24,41,82,100,135,142,157,166,172],"bloom":[4],"and":[5,33,120,185],"spread":[6],"wildly":[7],"on":[8,219,236],"social":[9],"media,":[10],"detection":[13,42],"has":[14],"recently":[15],"been":[16],"drawing":[17],"a":[18,36,74,95,171,233],"growing":[19],"amount":[20],"of":[21,26,54,62,105,133,154,163,213,244],"attention.":[22],"Single":[23],"consists":[25],"various":[27],"multi-modal":[28],"components":[29,207],"(e.g.,":[30],"text,":[31],"image,":[32],"event).":[34],"Thus,":[35,144],"desirable":[37],"model":[38],"for":[39,80,98],"must":[43,49,59],"satisfy":[44,88],"two":[45,220],"requirements:":[46],"1)":[47],"it":[48,58],"correctly":[50],"learn":[51],"the":[52,64,67,90,103,131,141,147,152,155,164,169,202,206,211,228,237,246],"reliability":[53,212],"each":[55,99,111,134,214],"component":[56,107,178,188],"2)":[57],"be":[60],"capable":[61],"capturing":[63],"relationship":[65,124,204],"among":[66,205],"components.":[68],"In":[69,128],"this":[70,129],"paper,":[71],"we":[72,113],"propose":[73],"Multi-modal":[75],"Component":[76],"Embedding":[77],"framework":[78],"(MCE)":[79],"detection,":[83],"which":[84],"is":[85],"designed":[86],"to":[87,240],"all":[89,227],"requirements.":[91,247],"It":[92],"first":[93],"defines":[94],"latent":[96,108,136,148],"vector":[97,137,173],"article":[101],"as":[102,117,125,208,210],"sum":[104],"its":[106,115,118,122,126,177,187,242],"vectors.":[109,167],"For":[110],"component,":[112],"regard":[114,121],"magnitude":[116,132,153],"reliability,":[119],"directional":[123],"consistency.":[127],"context,":[130],"represents":[138],"how":[139],"reliable":[140,181],"is.":[143],"MCE":[145,199,225],"learns":[146],"space":[149,239],"so":[150],"that":[151,162,224],"real":[156],"vectors":[158,179,189],"becomes":[159,174],"larger":[160,175],"than":[161],"During":[168],"training,":[170],"when":[176,186],"are":[180,190],"(i.e.,":[182,193],"large":[183],"magnitude)":[184],"well":[191,209],"aligned":[192],"high":[194],"consistency).":[195],"By":[196],"doing":[197],"so,":[198],"can":[200],"capture":[201],"complex":[203],"component.":[215],"Our":[216],"extensive":[217],"experiments":[218],"real-world":[221],"datasets":[222],"show":[223],"outperforms":[226],"baselines.":[229],"We":[230],"also":[231],"provide":[232],"qualitative":[234],"analysis":[235],"embedding":[238],"verify":[241],"capability":[243],"satisfying":[245]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}