{"id":"https://openalex.org/W4283725668","doi":"https://doi.org/10.1145/3535511.3535550","title":"A Comparative Study of Machine Learning Algorithms for the Detection of Fake News on the Internet","display_name":"A Comparative Study of Machine Learning Algorithms for the Detection of Fake News on the Internet","publication_year":2022,"publication_date":"2022-05-16","ids":{"openalex":"https://openalex.org/W4283725668","doi":"https://doi.org/10.1145/3535511.3535550"},"language":"en","primary_location":{"id":"doi:10.1145/3535511.3535550","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3535511.3535550","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"XVIII Brazilian Symposium on Information Systems","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/A5015947052","display_name":"Vin\u00edcius Nunes Barbosa","orcid":null},"institutions":[{"id":"https://openalex.org/I84554738","display_name":"Universidade Federal Rural do Semi-\u00c1rido","ror":"https://ror.org/05x2svh05","country_code":"BR","type":"education","lineage":["https://openalex.org/I84554738"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Vin\u00edcius Nunes Barbosa","raw_affiliation_strings":["Universidade Federal Rural do Semi-\u00c1rido - UFERSA, Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Federal Rural do Semi-\u00c1rido - UFERSA, Brazil","institution_ids":["https://openalex.org/I84554738"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091061829","display_name":"Francisco Mendes Neto","orcid":null},"institutions":[{"id":"https://openalex.org/I84554738","display_name":"Universidade Federal Rural do Semi-\u00c1rido","ror":"https://ror.org/05x2svh05","country_code":"BR","type":"education","lineage":["https://openalex.org/I84554738"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Francisco Mendes Mendes Neto","raw_affiliation_strings":["Universidade Federal Rural do Semi-\u00c1rido, Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Federal Rural do Semi-\u00c1rido, Brazil","institution_ids":["https://openalex.org/I84554738"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061456719","display_name":"Sebasti\u00e3o Em\u00eddio Alves Filho","orcid":"https://orcid.org/0000-0002-2029-4726"},"institutions":[{"id":"https://openalex.org/I4210103065","display_name":"Universidade do Estado do Rio Grande do Norte","ror":"https://ror.org/01ee0g236","country_code":"BR","type":"education","lineage":["https://openalex.org/I4210103065"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Sebastiao Alves Filho","raw_affiliation_strings":["Universidade do Estado do Rio Grande do Norte (UERN), Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade do Estado do Rio Grande do Norte (UERN), Brazil","institution_ids":["https://openalex.org/I4210103065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001834945","display_name":"Lenardo Chaves e Silva","orcid":"https://orcid.org/0000-0002-4509-8270"},"institutions":[{"id":"https://openalex.org/I84554738","display_name":"Universidade Federal Rural do Semi-\u00c1rido","ror":"https://ror.org/05x2svh05","country_code":"BR","type":"education","lineage":["https://openalex.org/I84554738"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Lenardo Silva","raw_affiliation_strings":["Universidade Federal Rural do Semi-\u00c1rido, Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Federal Rural do Semi-\u00c1rido, Brazil","institution_ids":["https://openalex.org/I84554738"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5015947052"],"corresponding_institution_ids":["https://openalex.org/I84554738"],"apc_list":null,"apc_paid":null,"fwci":1.895,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.88077168,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9523000121116638,"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/T13979","display_name":"Communication and COVID-19 Impact","score":0.9379000067710876,"subfield":{"id":"https://openalex.org/subfields/3315","display_name":"Communication"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7698433995246887},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6946147084236145},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6433216333389282},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.633946418762207},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.6021497845649719},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5463914275169373},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5244353413581848},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.48683351278305054},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4478970170021057},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4448184072971344},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.42609304189682007},{"id":"https://openalex.org/keywords/portuguese","display_name":"Portuguese","score":0.4175678789615631},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38368844985961914},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.16715359687805176},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.11962410807609558}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7698433995246887},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6946147084236145},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6433216333389282},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.633946418762207},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.6021497845649719},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5463914275169373},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5244353413581848},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.48683351278305054},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4478970170021057},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4448184072971344},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.42609304189682007},{"id":"https://openalex.org/C35219183","wikidata":"https://www.wikidata.org/wiki/Q5146","display_name":"Portuguese","level":2,"score":0.4175678789615631},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38368844985961914},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.16715359687805176},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.11962410807609558},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3535511.3535550","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3535511.3535550","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"XVIII Brazilian Symposium on Information Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2467967664","https://openalex.org/W2943012941","https://openalex.org/W2976525558","https://openalex.org/W2981285340","https://openalex.org/W2982604516","https://openalex.org/W3106300911","https://openalex.org/W4292908184"],"related_works":["https://openalex.org/W2912615426","https://openalex.org/W1964944391","https://openalex.org/W2104166387","https://openalex.org/W4299785812","https://openalex.org/W4391101703","https://openalex.org/W563704311","https://openalex.org/W4322721676","https://openalex.org/W2625894112","https://openalex.org/W581688671","https://openalex.org/W2550798287"],"abstract_inverted_index":{"Context:":[0],"The":[1,25,133,151,188],"increase":[2],"in":[3,68,80,94,100,218,233],"the":[4,10,15,48,95,106,118,156,160,171,186,192,202,211,224,227,237],"proliferation":[5],"of":[6,19,28,86,97,120,185,213,226],"fake":[7,98],"news":[8,55,99,104,217],"on":[9],"Internet":[11],"has":[12,63],"significantly":[13],"impacted":[14],"quality":[16],"and":[17,46,73,129,147,179,220,231,242],"veracity":[18],"information":[20,29],"received":[21],"by":[22,33,159],"society.":[23],"Problem:":[24],"malicious":[26],"use":[27],"can":[30],"compromise":[31],"democracy":[32],"manipulating":[34],"people\u2019s":[35],"opinions.":[36],"In":[37,199],"addition,":[38],"there":[39],"are":[40],"few":[41],"facilitating":[42],"mechanisms":[43],"that":[44,155],"classify":[45,72],"help":[47],"citizen":[49],"to":[50,71,88,116,126,201,235],"know":[51],"whether":[52],"a":[53,84,214],"certain":[54],"propagated":[56],"is":[57],"true":[58,241],"or":[59],"not.":[60],"This":[61,78],"problem":[62],"driven":[64],"new":[65],"research":[66],"directions":[67],"an":[69,91,164,221],"attempt":[70],"identify":[74],"these":[75,121],"news.":[76],"Methodology:":[77],"work":[79,207],"its":[81],"methodology":[82],"performs":[83],"comparison":[85,137],"algorithms":[87,134,162],"serve":[89],"as":[90,123,125,176,209],"intelligent":[92],"solution":[93],"detection":[96],"Portuguese.":[101],"About":[102],"12,000":[103],"featured":[105],"dataset":[107],"used":[108,115,135,182],"for":[109,136,183],"this":[110,206],"analysis.":[111],"Pre-processing":[112],"techniques":[113],"were":[114,138,181],"analyze":[117],"patterns":[119,239],"news,":[122,228],"well":[124],"reduce":[127],"noise":[128],"eliminate":[130],"null":[131],"information.":[132],"Logistic":[139],"Regression,":[140],"Stochastic":[141],"Gradient":[142],"Descent,":[143],"Support":[144],"Vector":[145],"Machine":[146],"Multilayer":[148],"Perceptron.":[149],"Result:":[150],"results":[152,204],"obtained":[153,163],"showed":[154],"models":[157],"generated":[158],"four":[161],"accuracy":[165],"greater":[166],"than":[167],"90%.":[168],"To":[169],"choose":[170],"best":[172,193],"algorithm,":[173],"metrics":[174],"such":[175],"precision,":[177],"recall":[178],"f-measure":[180],"each":[184],"models.":[187],"SVM":[189],"algorithm":[190],"had":[191],"performance,":[194],"with":[195],"96.39%":[196],"accuracy.":[197],"Contribution:":[198],"addition":[200],"analytical":[203],"presented,":[205],"brought":[208],"contributions":[210],"availability":[212],"database":[215],"containing":[216],"Portuguese":[219],"analysis,":[222],"from":[223],"text":[225],"both":[229],"grammatical":[230],"structural,":[232],"order":[234],"detect":[236],"existing":[238],"between":[240],"false.":[243]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
