{"id":"https://openalex.org/W4415258516","doi":"https://doi.org/10.1145/3757577","title":"Designing Effective AI Explanations for Misinformation Detection: A Comparative Study of Content, Social, and Combined Explanations","display_name":"Designing Effective AI Explanations for Misinformation Detection: A Comparative Study of Content, Social, and Combined Explanations","publication_year":2025,"publication_date":"2025-10-16","ids":{"openalex":"https://openalex.org/W4415258516","doi":"https://doi.org/10.1145/3757577"},"language":"en","primary_location":{"id":"doi:10.1145/3757577","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3757577","pdf_url":null,"source":{"id":"https://openalex.org/S4210183893","display_name":"Proceedings of the ACM on Human-Computer Interaction","issn_l":"2573-0142","issn":["2573-0142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"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 ACM on Human-Computer Interaction","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1145/3757577","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5099268949","display_name":"Yeaeun Gong","orcid":"https://orcid.org/0009-0005-6303-5264"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yeaeun Gong","raw_affiliation_strings":["University of Illinois Urbana-Champaign, Champaign, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign, Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102604763","display_name":"Yifan Liu","orcid":"https://orcid.org/0009-0003-6658-8089"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yifan Liu","raw_affiliation_strings":["University of Illinois Urbana-Champaign, Champaign, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign, Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074191748","display_name":"Lanyu Shang","orcid":"https://orcid.org/0000-0002-7480-6889"},"institutions":[{"id":"https://openalex.org/I35566140","display_name":"Loyola Marymount University","ror":"https://ror.org/00xhj8c72","country_code":"US","type":"education","lineage":["https://openalex.org/I35566140"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lanyu Shang","raw_affiliation_strings":["Loyola Marymount University, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"Loyola Marymount University, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I35566140"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066245492","display_name":"Na Wei","orcid":"https://orcid.org/0000-0003-2093-3441"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Na Wei","raw_affiliation_strings":["University of Illinois Urbana Champaign, Champaign, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana Champaign, Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100391517","display_name":"Dong Wang","orcid":"https://orcid.org/0000-0002-9599-8023"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dong Wang","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Champaign, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5099268949"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.38368743,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":"7","first_page":"1","last_page":"37"},"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":0.9829000234603882,"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":0.9660999774932861,"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/misinformation","display_name":"Misinformation","score":0.8931999802589417},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.6690000295639038},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.550599992275238},{"id":"https://openalex.org/keywords/content","display_name":"Content (measure theory)","score":0.4219000041484833},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4180999994277954},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.3684999942779541},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.3677999973297119}],"concepts":[{"id":"https://openalex.org/C2776990098","wikidata":"https://www.wikidata.org/wiki/Q13579947","display_name":"Misinformation","level":2,"score":0.8931999802589417},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.6690000295639038},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.550599992275238},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.45739999413490295},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.4219000041484833},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4180999994277954},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.39899998903274536},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.39079999923706055},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3862000107765198},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.3684999942779541},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.3677999973297119},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.33160001039505005},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.3278000056743622},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.30660000443458557},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29660001397132874},{"id":"https://openalex.org/C131158328","wikidata":"https://www.wikidata.org/wiki/Q1307337","display_name":"Social influence","level":2,"score":0.2824999988079071},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.2727000117301941},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.27230000495910645},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.27149999141693115},{"id":"https://openalex.org/C162446236","wikidata":"https://www.wikidata.org/wiki/Q653137","display_name":"Content analysis","level":2,"score":0.26249998807907104},{"id":"https://openalex.org/C76188268","wikidata":"https://www.wikidata.org/wiki/Q1783165","display_name":"Context effect","level":3,"score":0.25270000100135803}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3757577","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3757577","pdf_url":null,"source":{"id":"https://openalex.org/S4210183893","display_name":"Proceedings of the ACM on Human-Computer Interaction","issn_l":"2573-0142","issn":["2573-0142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"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 ACM on Human-Computer Interaction","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3757577","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3757577","pdf_url":null,"source":{"id":"https://openalex.org/S4210183893","display_name":"Proceedings of the ACM on Human-Computer Interaction","issn_l":"2573-0142","issn":["2573-0142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"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 ACM on Human-Computer Interaction","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8008171216","display_name":null,"funder_award_id":"CNS-2427070, IIS-2331069, IIS-2202481, IIS-2130263, CNS-2131622","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W280248949","https://openalex.org/W2048646785","https://openalex.org/W2081228741","https://openalex.org/W2131768779","https://openalex.org/W2593816498","https://openalex.org/W2742330194","https://openalex.org/W2774772126","https://openalex.org/W2788235048","https://openalex.org/W2807738726","https://openalex.org/W2891654265","https://openalex.org/W2897757923","https://openalex.org/W2906670185","https://openalex.org/W2906971970","https://openalex.org/W2918066172","https://openalex.org/W2924988155","https://openalex.org/W2942073295","https://openalex.org/W2963395533","https://openalex.org/W3000155280","https://openalex.org/W3032158617","https://openalex.org/W3040472729","https://openalex.org/W3103912187","https://openalex.org/W3107707584","https://openalex.org/W3110627691","https://openalex.org/W3119394424","https://openalex.org/W3127032480","https://openalex.org/W3156106752","https://openalex.org/W3162428030","https://openalex.org/W3162614376","https://openalex.org/W3212591930","https://openalex.org/W3213720670","https://openalex.org/W4205244689","https://openalex.org/W4206236567","https://openalex.org/W4220961556","https://openalex.org/W4224308992","https://openalex.org/W4224982959","https://openalex.org/W4225105010","https://openalex.org/W4229373744","https://openalex.org/W4238722264","https://openalex.org/W4309650732","https://openalex.org/W4312514456","https://openalex.org/W4313423816","https://openalex.org/W4313445338","https://openalex.org/W4327811134","https://openalex.org/W4366590585","https://openalex.org/W4366598492","https://openalex.org/W4366772622","https://openalex.org/W4386730849","https://openalex.org/W4387336358","https://openalex.org/W4391422267","https://openalex.org/W4396831993","https://openalex.org/W4396833700","https://openalex.org/W4399205118","https://openalex.org/W4399800993","https://openalex.org/W4401947350","https://openalex.org/W4401983342","https://openalex.org/W4401983568","https://openalex.org/W4409735071","https://openalex.org/W4410917826"],"related_works":[],"abstract_inverted_index":{"In":[0],"this":[1,64],"paper,":[2],"we":[3,66,120],"study":[4],"the":[5,13,37,53,60,79,93,113,159,170,193],"problem":[6],"of":[7,10,39,59,116,205,212],"AI":[8,42,118,143,206],"explanation":[9,18,174,183,215],"misinformation,":[11,84,153],"where":[12,91],"goal":[14],"is":[15,34],"to":[16,151],"identify":[17],"designs":[19],"that":[20,51,77,102,142,169],"help":[21],"improve":[22],"users'":[23],"misinformation":[24,221],"detection":[25,187],"abilities":[26],"and":[27,56,95,132,163,195,217],"their":[28,218],"overall":[29],"user":[30],"experiences.":[31],"Our":[32,139],"work":[33,199],"motivated":[35],"by":[36,158],"limitation":[38],"current":[40],"Explainable":[41],"(XAI)":[43],"approaches,":[44],"which":[45,173],"predominantly":[46],"focus":[47],"on":[48,130,137],"content":[49,71,94,162,180],"explanations":[50,69,97,144],"elucidate":[52],"linguistic":[54],"features":[55],"sentence":[57],"structures":[58],"misinformation.":[61],"To":[62,111],"address":[63],"limitation,":[65],"explore":[67],"various":[68],"beyond":[70],"explanation,":[72],"such":[73],"as":[74,85,87],"''social":[75],"explanation''":[76,90],"considers":[78],"broader":[80],"social":[81,96,164,182],"context":[82],"surrounding":[83],"well":[86],"a":[88,179,209],"''combined":[89],"both":[92],"are":[98,103,145,176],"presented":[99],"in":[100,126,148,172],"scenarios":[101],"either":[104],"aligned":[105],"or":[106,181],"misaligned":[107],"with":[108,154,189],"each":[109],"other.":[110],"evaluate":[112],"comparative":[114],"effectiveness":[115,155],"these":[117],"explanations,":[119,207],"conduct":[121],"two":[122],"online":[123],"crowdsourcing":[124],"experiments":[125],"COVID-19":[127,194],"(Study":[128,135],"1":[129],"Prolific)":[131],"Politics":[133],"domains":[134],"2":[136],"MTurk).":[138],"results":[140],"show":[141],"generally":[146],"effective":[147,203],"aiding":[149],"users":[150],"detect":[152],"significantly":[156],"influenced":[157],"alignment":[160],"between":[161,192],"explanations.":[165],"We":[166],"also":[167],"find":[168],"order":[171],"types":[175,216],"presented-specifically,":[177],"whether":[178],"comes":[184],"first-can":[185],"influence":[186,220],"accuracy,":[188],"differences":[190],"found":[191],"Political":[196],"domains.":[197],"This":[198],"contributes":[200],"towards":[201],"more":[202],"design":[204],"fostering":[208],"deeper":[210],"understanding":[211],"how":[213],"different":[214],"combinations":[219],"detection.":[222]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-17T00:00:00"}
