{"id":"https://openalex.org/W4292560128","doi":"https://doi.org/10.1142/s1752890922420089","title":"An Improved Fake News Detection Model by Applying a Recursive Feature Elimination Approach for Credibility Assessment and Uncertainty","display_name":"An Improved Fake News Detection Model by Applying a Recursive Feature Elimination Approach for Credibility Assessment and Uncertainty","publication_year":2022,"publication_date":"2022-08-22","ids":{"openalex":"https://openalex.org/W4292560128","doi":"https://doi.org/10.1142/s1752890922420089"},"language":"en","primary_location":{"id":"doi:10.1142/s1752890922420089","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1752890922420089","pdf_url":null,"source":{"id":"https://openalex.org/S4210199942","display_name":"Journal of Uncertain Systems","issn_l":"1752-8909","issn":["1752-8909","1752-8917"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Uncertain Systems","raw_type":"journal-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/A5045926305","display_name":"Isha Agarwal","orcid":"https://orcid.org/0000-0002-9094-9118"},"institutions":[{"id":"https://openalex.org/I42014448","display_name":"Sardar Vallabhbhai National Institute of Technology Surat","ror":"https://ror.org/02y394t43","country_code":"IN","type":"education","lineage":["https://openalex.org/I42014448"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"I. Y. Agarwal","raw_affiliation_strings":["Sardar Vallabhbhai National Institute of Technology, Surat 395007, Gujarat, India"],"affiliations":[{"raw_affiliation_string":"Sardar Vallabhbhai National Institute of Technology, Surat 395007, Gujarat, India","institution_ids":["https://openalex.org/I42014448"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035644421","display_name":"D. P. Rana","orcid":null},"institutions":[{"id":"https://openalex.org/I42014448","display_name":"Sardar Vallabhbhai National Institute of Technology Surat","ror":"https://ror.org/02y394t43","country_code":"IN","type":"education","lineage":["https://openalex.org/I42014448"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"D. P. Rana","raw_affiliation_strings":["Sardar Vallabhbhai National Institute of Technology, Surat 395007, Gujarat, India"],"affiliations":[{"raw_affiliation_string":"Sardar Vallabhbhai National Institute of Technology, Surat 395007, Gujarat, India","institution_ids":["https://openalex.org/I42014448"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5045926305"],"corresponding_institution_ids":["https://openalex.org/I42014448"],"apc_list":null,"apc_paid":null,"fwci":1.516,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.8624268,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"16","issue":"01","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":0.9965000152587891,"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":0.9965000152587891,"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":0.9957000017166138,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9642000198364258,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/credibility","display_name":"Credibility","score":0.7977432012557983},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.7858591079711914},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7260177135467529},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.709514856338501},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6579518914222717},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5834712982177734},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5273543000221252},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5273493528366089},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.4934779405593872},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4537707269191742},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4139976501464844},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3992035388946533},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3691369295120239},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.32955288887023926},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10903531312942505}],"concepts":[{"id":"https://openalex.org/C2780224610","wikidata":"https://www.wikidata.org/wiki/Q1530061","display_name":"Credibility","level":2,"score":0.7977432012557983},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.7858591079711914},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7260177135467529},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.709514856338501},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6579518914222717},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5834712982177734},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5273543000221252},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5273493528366089},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.4934779405593872},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4537707269191742},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4139976501464844},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3992035388946533},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3691369295120239},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32955288887023926},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10903531312942505},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s1752890922420089","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1752890922420089","pdf_url":null,"source":{"id":"https://openalex.org/S4210199942","display_name":"Journal of Uncertain Systems","issn_l":"1752-8909","issn":["1752-8909","1752-8917"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Uncertain Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W582134693","https://openalex.org/W1978330414","https://openalex.org/W1994530392","https://openalex.org/W2078093994","https://openalex.org/W2143426320","https://openalex.org/W2273847690","https://openalex.org/W2562498401","https://openalex.org/W2582561810","https://openalex.org/W2910027323","https://openalex.org/W3015461837","https://openalex.org/W3046865757","https://openalex.org/W3103319922","https://openalex.org/W3121571719"],"related_works":["https://openalex.org/W2952668426","https://openalex.org/W2386078281","https://openalex.org/W2108279454","https://openalex.org/W2376976859","https://openalex.org/W2954668464","https://openalex.org/W4293525103","https://openalex.org/W1592541912","https://openalex.org/W3200179079","https://openalex.org/W3163334550","https://openalex.org/W2360805930"],"abstract_inverted_index":{"World":[0],"Health":[1],"Organization":[2],"(W.H.O)":[3],"has":[4,141],"coined":[5],"the":[6,12,28,32,36,43,49,64,78,116,154,173],"word":[7],"\u201cInfodemic\u201d":[8],"to":[9,11,23,41,62,122,130],"refer":[10],"dissemination":[13],"of":[14,58,66,73,80,127,170,175],"fake":[15,70,155],"news":[16,71],"during":[17],"this":[18,53,59],"pandemic,":[19],"which":[20,47],"is":[21,38,45,48,61,166],"considered":[22],"be":[24],"as":[25,27],"harmful":[26],"virus":[29],"itself.":[30],"Verifying":[31],"information":[33,133],"available":[34],"on":[35],"internet":[37],"a":[39,86,123,176,182],"prerequisite":[40],"ensuring":[42],"ecosystem":[44],"maintained":[46],"driving":[50],"force":[51],"behind":[52],"work.":[54],"The":[55,112,138,168],"primary":[56],"goal":[57],"study":[60],"address":[63],"problem":[65],"time-consuming":[67],"automatically":[68],"voluminous":[69],"detection":[72],"certain":[74],"data":[75,81],"and":[76,99,149,181],"consider":[77],"uncertainty":[79],"from":[82],"causal":[83],"relations":[84],"using":[85,107],"rich":[87],"feature":[88,94,109,164],"set.":[89],"This":[90],"research":[91],"produces":[92],"significant":[93,105],"reduction":[95,184],"for":[96,153,160,163],"reduced":[97],"time":[98],"improved":[100],"accuracy":[101],"by":[102,115],"filtering":[103],"out":[104],"features":[106,114],"recursive":[108],"selection":[110,165],"(RFE).":[111],"retained":[113],"RFE":[117],"algorithm":[118],"are":[119],"also":[120,142],"compared":[121],"standard":[124],"statistical":[125],"measure":[126],"Pearson\u2019s":[128],"correlation":[129],"ensure":[131],"no":[132],"loss":[134],"while":[135],"reducing":[136],"features.":[137],"suggested":[139],"methodology":[140],"defined":[143],"appropriate":[144],"class":[145],"output":[146],"assurance":[147],"levels":[148],"accurate":[150],"prediction":[151],"ambiguity":[152],"identification":[156],"jobs.":[157],"Comparative":[158],"analysis":[159],"existing":[161],"methods":[162],"performed.":[167],"result":[169],"experimentation":[171],"testifies":[172],"improvement":[174],"6%":[177],"increase":[178],"in":[179,185],"precision":[180],"97%":[183],"execution":[186],"time.":[187]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}