{"id":"https://openalex.org/W7204275333","doi":"https://doi.org/10.70470/edraak/2026/008","title":"Explainable Artificial Intelligence for Fake News Detection in Digital Media","display_name":"Explainable Artificial Intelligence for Fake News Detection in Digital Media","publication_year":2026,"publication_date":"2026-07-16","ids":{"openalex":"https://openalex.org/W7204275333","doi":"https://doi.org/10.70470/edraak/2026/008"},"language":"en","primary_location":{"id":"doi:10.70470/edraak/2026/008","doi":"https://doi.org/10.70470/edraak/2026/008","is_oa":true,"landing_page_url":"https://doi.org/10.70470/edraak/2026/008","pdf_url":"https://peninsula-press.ae/Journals/index.php/EDRAAK/article/download/307/648","source":{"id":"https://openalex.org/S5407049272","display_name":"EDRAAK","issn_l":"3078-8412","issn":["3078-8412"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EDRAAK","raw_type":"journal-article"},"parent_works":[],"lineage":["https://openalex.org/W7204275333"],"child_works_count":0,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://peninsula-press.ae/Journals/index.php/EDRAAK/article/download/307/648","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066035725","display_name":"Ilyass Mzili","orcid":"https://orcid.org/0000-0002-9096-8271","observed_orcids":["https://orcid.org/0000-0002-9096-8271"]},"institutions":[{"id":"https://openalex.org/I4210125507","display_name":"Chouaib Doukkali University","ror":"https://ror.org/036kgyt43","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210125507"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Ilyass Mzili","raw_affiliation_strings":["Department of Computer Science, Chouaib Doukkali University, El Jadida, Morocco"],"raw_orcid":"https://orcid.org/0000-0002-9096-8271","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Chouaib Doukkali University, El Jadida, Morocco","institution_ids":["https://openalex.org/I4210125507"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134665405","display_name":"Otmane Houdaif","orcid":"https://orcid.org/0009-0007-8575-1602","observed_orcids":["https://orcid.org/0009-0007-8575-1602"]},"institutions":[{"id":"https://openalex.org/I4210125507","display_name":"Chouaib Doukkali University","ror":"https://ror.org/036kgyt43","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210125507"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Otmane Houdaif","raw_affiliation_strings":["Department of Computer Science, Chouaib Doukkali University, El Jadida, Morocco"],"raw_orcid":"https://orcid.org/0009-0007-8575-1602","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Chouaib Doukkali University, El Jadida, Morocco","institution_ids":["https://openalex.org/I4210125507"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114695318","display_name":"Zakaria Benlalia","orcid":"https://orcid.org/0009-0001-5887-1074","observed_orcids":["https://orcid.org/0009-0001-5887-1074"]},"institutions":[{"id":"https://openalex.org/I4210125507","display_name":"Chouaib Doukkali University","ror":"https://ror.org/036kgyt43","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210125507"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Zakaria Benlalia","raw_affiliation_strings":["Department of Computer Science, Chouaib Doukkali University, El Jadida, Morocco"],"raw_orcid":"https://orcid.org/0009-0001-5887-1074","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Chouaib Doukkali University, El Jadida, Morocco","institution_ids":["https://openalex.org/I4210125507"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210125507"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2026","issue":null,"first_page":"97","last_page":"110"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9961000084877014,"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":0.9961000084877014,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.002199999988079071,"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":0.00019999999494757503,"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/fake-news-detection","display_name":"fake news detection","score":0.9980000257492065},{"id":"https://openalex.org/keywords/explainable-ai","display_name":"explainable AI","score":0.9980000257492065},{"id":"https://openalex.org/keywords/shap","display_name":"SHAP","score":0.9990000128746033},{"id":"https://openalex.org/keywords/lime","display_name":"lime","score":1.0},{"id":"https://openalex.org/keywords/tf-idf-feature-extraction","display_name":"TF-IDF feature extraction","score":0.9229999780654907},{"id":"https://openalex.org/keywords/linear-support-vector-machine","display_name":"linear support vector machine","score":0.9879999756813049},{"id":"https://openalex.org/keywords/gossipcop","display_name":"GossipCop","score":0.7289999723434448},{"id":"https://openalex.org/keywords/politifact","display_name":"PolitiFact","score":0.9900000095367432},{"id":"https://openalex.org/keywords/fakenewsnet","display_name":"FakeNewsNet","score":0.8930000066757202},{"id":"https://openalex.org/keywords/automated-fact-checking","display_name":"automated fact-checking","score":0.9169999957084656},{"id":"https://openalex.org/keywords/digital-journalism","display_name":"digital journalism","score":0.7390000224113464}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.739300012588501},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6093000173568726},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5590999722480774},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5353000164031982},{"id":"https://openalex.org/C2779756789","wikidata":"https://www.wikidata.org/wiki/Q28549308","display_name":"Fake news","level":2,"score":0.46560001373291016},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43619999289512634},{"id":"https://openalex.org/C17632256","wikidata":"https://www.wikidata.org/wiki/Q1076968","display_name":"Digital media","level":2,"score":0.42570000886917114},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.4253999888896942},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41850000619888306},{"id":"https://openalex.org/C2776372474","wikidata":"https://www.wikidata.org/wiki/Q508291","display_name":"Simplicity","level":2,"score":0.39969998598098755},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.3944000005722046},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.38269999623298645},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.3716999888420105},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.3594000041484833},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.3393999934196472},{"id":"https://openalex.org/C119513131","wikidata":"https://www.wikidata.org/wiki/Q11030","display_name":"Journalism","level":2,"score":0.33709999918937683},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.33379998803138733},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.31209999322891235},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2784000039100647},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2727000117301941},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.27140000462532043},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2578999996185303},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.2535000145435333}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.70470/edraak/2026/008","doi":"https://doi.org/10.70470/edraak/2026/008","is_oa":true,"landing_page_url":"https://doi.org/10.70470/edraak/2026/008","pdf_url":"https://peninsula-press.ae/Journals/index.php/EDRAAK/article/download/307/648","source":{"id":"https://openalex.org/S5407049272","display_name":"EDRAAK","issn_l":"3078-8412","issn":["3078-8412"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EDRAAK","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.70470/edraak/2026/008","doi":"https://doi.org/10.70470/edraak/2026/008","is_oa":true,"landing_page_url":"https://doi.org/10.70470/edraak/2026/008","pdf_url":"https://peninsula-press.ae/Journals/index.php/EDRAAK/article/download/307/648","source":{"id":"https://openalex.org/S5407049272","display_name":"EDRAAK","issn_l":"3078-8412","issn":["3078-8412"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EDRAAK","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7204275333.pdf","grobid_xml":"https://content.openalex.org/works/W7204275333.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7161812294","https://openalex.org/W4408794263","https://openalex.org/W7160779438","https://openalex.org/W4411714986","https://openalex.org/W7162319050","https://openalex.org/W7167496195","https://openalex.org/W7222653540","https://openalex.org/W4327973056","https://openalex.org/W4414464638","https://openalex.org/W4415822367"],"abstract_inverted_index":{"The":[0,110,125,158,193],"speed":[1],"with":[2,91,165],"which":[3],"fake":[4,37,72,229],"news":[5,55,73,230],"is":[6,112,127,223],"being":[7],"spread":[8],"through":[9],"digital":[10,236],"channels":[11],"has":[12,200],"presented":[13],"a":[14,201,218],"great":[15],"challenge,":[16],"impacting":[17],"the":[18,54,77,92,102,116,122,148,162,197,211,215,220],"public":[19],"opinion,":[20],"politics,":[21],"and":[22,28,85,101,118,144,154,178,182,191,210,238],"social":[23,239],"cohesion.":[24],"Several":[25],"machine":[26],"learning":[27,30],"deep":[29],"methods":[31],"have":[32],"been":[33],"suggested":[34],"for":[35,71,227],"detecting":[36,228],"news,":[38],"but":[39],"most":[40],"of":[41,121,147,167,170,173,176,180,187,208,213],"these":[42,60],"models":[43],"are":[44],"either":[45],"highly":[46],"resource-intensive":[47],"or":[48],"do":[49],"not":[50],"give":[51],"insights":[52],"into":[53,129],"predictions.":[56],"In":[57],"response":[58],"to":[59],"challenges,":[61],"this":[62],"paper":[63],"presents":[64],"an":[65,224],"Explainable":[66],"Artificial":[67],"Intelligence":[68],"(XAI)":[69],"framework":[70,111,199],"detection":[74],"that":[75],"unites":[76],"complementary":[78],"explainability":[79,145],"methods:":[80],"SHapley":[81],"Additive":[82],"exPlanations":[83],"(SHAP)":[84],"Local":[86],"Interpretable":[87],"Model-agnostic":[88],"Explanations":[89],"(LIME)":[90],"feature":[93,136],"extraction":[94,137],"technique,":[95],"Term":[96],"Frequency-Inverse":[97],"Document":[98],"Frequency":[99],"(TF-IDF)":[100],"Linear":[103,142],"Support":[104],"Vector":[105],"Machine":[106],"(Linear":[107],"SVM)":[108],"classifier.":[109],"based":[113],"mainly":[114],"on":[115],"GossipCop":[117],"PolitiFact":[119],"subset":[120],"FakeNewsNet":[123],"repository.":[124],"methodology":[126],"divided":[128],"four":[130],"phases,":[131],"namely:":[132],"data":[133],"preprocessing,":[134],"textual":[135],"using":[138,141,151,189],"TF-IDF,":[139],"classification":[140,149,188,205],"SVM,":[143],"analysis":[146],"by":[150,183],"both":[152],"local":[153],"global":[155],"interpretation":[156],"techniques.":[157],"experimental":[159],"results":[160],"confirmed":[161],"proposed":[163,198,221],"approach":[164,222],"accuracy":[166],"79.40%,":[168],"precision":[169],"80.51%,":[171],"recall":[172],"95.34%,":[174],"F1-score":[175],"87.30%,":[177],"ROC-AUC":[179],"81.40%,":[181],"providing":[184],"transparent":[185],"explanations":[186],"SHAP":[190],"LIME.":[192],"achieved":[194],"outcome":[195],"shows":[196],"good":[202],"balance":[203],"between":[204],"accuracy,":[206],"simplicity":[207],"calculation,":[209],"ease":[212],"understanding":[214],"model.":[216],"As":[217],"result,":[219],"effective":[225],"solution":[226],"in":[231],"applications,":[232],"including":[233],"automated":[234],"fact-checking,":[235],"journalism":[237],"media":[240],"content":[241],"monitoring.":[242]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-08-27T00:00:00"}