{"id":"https://openalex.org/W3000428906","doi":"https://doi.org/10.1109/i-pact44901.2019.8960044","title":"Comparison of Various Machine Learning Models for Accurate Detection of Fake News","display_name":"Comparison of Various Machine Learning Models for Accurate Detection of Fake News","publication_year":2019,"publication_date":"2019-03-01","ids":{"openalex":"https://openalex.org/W3000428906","doi":"https://doi.org/10.1109/i-pact44901.2019.8960044","mag":"3000428906"},"language":"en","primary_location":{"id":"doi:10.1109/i-pact44901.2019.8960044","doi":"https://doi.org/10.1109/i-pact44901.2019.8960044","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i-pact44901.2019.8960044","pdf_url":null,"source":{"id":"https://openalex.org/S4363604897","display_name":"Innovations in Power and Advanced Computing Technologies (i-PACT)","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Innovations in Power and Advanced Computing Technologies (i-PACT)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5028543779","display_name":"Karishnu Poddar","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Karishnu Poddar","raw_affiliation_strings":["Vellore Institute of Technology, School of Computer Science and Eng., Vellore, India","School of Computer Science and Eng., Vellore Institute of Technology, Vellore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vellore Institute of Technology, School of Computer Science and Eng., Vellore, India","institution_ids":["https://openalex.org/I876193797"]},{"raw_affiliation_string":"School of Computer Science and Eng., Vellore Institute of Technology, Vellore, India","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033199699","display_name":"Geraldine Bessie Amali D","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Geraldine Bessie Amali D.","raw_affiliation_strings":["Vellore Institute of Technology, School of Computer Science and Eng., Vellore, India","School of Computer Science and Eng., Vellore Institute of Technology, Vellore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vellore Institute of Technology, School of Computer Science and Eng., Vellore, India","institution_ids":["https://openalex.org/I876193797"]},{"raw_affiliation_string":"School of Computer Science and Eng., Vellore Institute of Technology, Vellore, India","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077217687","display_name":"K. S. Umadevi","orcid":"https://orcid.org/0000-0002-9372-1389","observed_orcids":["https://orcid.org/0000-0002-9372-1389"]},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K.S. Umadevi","raw_affiliation_strings":["Vellore Institute of Technology, School of Computer Science and Eng., Vellore, India","School of Computer Science and Eng., Vellore Institute of Technology, Vellore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vellore Institute of Technology, School of Computer Science and Eng., Vellore, India","institution_ids":["https://openalex.org/I876193797"]},{"raw_affiliation_string":"School of Computer Science and Eng., Vellore Institute of Technology, Vellore, India","institution_ids":["https://openalex.org/I876193797"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I876193797"],"apc_list":null,"apc_paid":null,"fwci":28.5083,"has_fulltext":false,"cited_by_count":83,"citation_normalized_percentile":{"value":0.99539561,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9990000128746033,"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":0.9990000128746033,"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":0.00039999998989515007,"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/T11550","display_name":"Text and Document Classification Technologies","score":9.999999747378752e-05,"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/fake-news-detection","display_name":"fake news detection","score":1.0},{"id":"https://openalex.org/keywords/misinformation","display_name":"misinformation","score":0.9929999709129333},{"id":"https://openalex.org/keywords/text-classification","display_name":"text classification","score":0.7279999852180481},{"id":"https://openalex.org/keywords/tf-idf","display_name":"TF-IDF","score":0.746999979019165},{"id":"https://openalex.org/keywords/count-vectorizer","display_name":"count vectorizer","score":0.8709999918937683},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.8180000185966492},{"id":"https://openalex.org/keywords/naive-bayes","display_name":"naive Bayes","score":0.8270000219345093},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"logistic regression","score":0.9819999933242798},{"id":"https://openalex.org/keywords/decision-tree","display_name":"decision tree","score":0.9160000085830688},{"id":"https://openalex.org/keywords/text-vectorization","display_name":"text vectorization","score":0.550000011920929}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8041603565216064},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7808572053909302},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.708824872970581},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.7056342959403992},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6717984676361084},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5343598127365112},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5314050316810608},{"id":"https://openalex.org/C2776990098","wikidata":"https://www.wikidata.org/wiki/Q13579947","display_name":"Misinformation","level":2,"score":0.47825753688812256},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4684111475944519},{"id":"https://openalex.org/C81758059","wikidata":"https://www.wikidata.org/wiki/Q796584","display_name":"tf\u2013idf","level":3,"score":0.4423186779022217},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.41350722312927246},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.41320058703422546},{"id":"https://openalex.org/C2777548347","wikidata":"https://www.wikidata.org/wiki/Q5456937","display_name":"Flagging","level":2,"score":0.4122997522354126},{"id":"https://openalex.org/C2779756789","wikidata":"https://www.wikidata.org/wiki/Q28549308","display_name":"Fake news","level":2,"score":0.41020429134368896},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.32350680232048035},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/i-pact44901.2019.8960044","doi":"https://doi.org/10.1109/i-pact44901.2019.8960044","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i-pact44901.2019.8960044","pdf_url":null,"source":{"id":"https://openalex.org/S4363604897","display_name":"Innovations in Power and Advanced Computing Technologies (i-PACT)","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Innovations in Power and Advanced Computing Technologies (i-PACT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W335436902","https://openalex.org/W846961280","https://openalex.org/W961659484","https://openalex.org/W1564518192","https://openalex.org/W2433203947","https://openalex.org/W2582561810","https://openalex.org/W2756851436","https://openalex.org/W2769915287","https://openalex.org/W2900849029","https://openalex.org/W2949813784","https://openalex.org/W6718044675"],"related_works":["https://openalex.org/W4319078156","https://openalex.org/W3153178685","https://openalex.org/W7162184848","https://openalex.org/W4389777356","https://openalex.org/W4400384612","https://openalex.org/W4417451296","https://openalex.org/W4205200149","https://openalex.org/W4309697158","https://openalex.org/W7070547372","https://openalex.org/W3081652108"],"abstract_inverted_index":{"Fake":[0],"news":[1,4,25,71],"consists":[2],"of":[3,24,39,49],"that":[5],"is":[6],"not":[7],"well":[8],"researched":[9],"or":[10,19],"deliberate":[11],"steps":[12],"have":[13,76],"been":[14,77],"taken":[15],"to":[16,31,64,79,99],"spread":[17],"misinformation":[18],"hoaxes":[20],"via":[21],"different":[22,51],"forms":[23],"distribution":[26],"networks.":[27],"This":[28],"paper":[29],"aims":[30],"tackle":[32],"this":[33],"issue":[34],"using":[35],"a":[36],"computational":[37],"model":[38],"probabilistic":[40],"and":[41,55,93],"geometric":[42],"machine":[43],"learning":[44],"models.":[45],"Moreover,":[46],"the":[47,66,81,101,112,115],"scores":[48],"two":[50],"vectorizers":[52],"namely":[53],"count":[54],"Term":[56],"Frequency":[57],"Inverse":[58],"Document":[59],"Format(TF-IDF)":[60],"will":[61],"be":[62],"compared":[63],"find":[65],"appropriate":[67],"vectorizer":[68],"for":[69],"fake":[70,102],"detection.":[72],"English":[73],"stop":[74],"words":[75],"used":[78,98],"improve":[80],"scores.":[82],"Various":[83],"classifiers":[84],"like":[85],"Naive":[86],"Bayes,":[87],"Support":[88,107],"Vector":[89,108],"Machine(SVM),":[90],"Logistic":[91],"regression":[92],"decision":[94],"tree":[95],"classifier":[96],"were":[97],"predict":[100],"news.":[103],"Simulation":[104],"results":[105],"indicate":[106],"Machine":[109],"(SVM)":[110],"with":[111],"TF-IDF":[113],"gave":[114],"most":[116],"accurate":[117],"prediction.":[118]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":19},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":4}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2020-01-23T00:00:00"}
