{"id":"https://openalex.org/W3215783310","doi":"https://doi.org/10.23919/fruct53335.2021.9599970","title":"Detecting Fake News About Covid-19 on Small Datasets with Machine Learning Algorithms","display_name":"Detecting Fake News About Covid-19 on Small Datasets with Machine Learning Algorithms","publication_year":2021,"publication_date":"2021-10-27","ids":{"openalex":"https://openalex.org/W3215783310","doi":"https://doi.org/10.23919/fruct53335.2021.9599970","mag":"3215783310"},"language":"en","primary_location":{"id":"doi:10.23919/fruct53335.2021.9599970","is_oa":false,"landing_page_url":"https://doi.org/10.23919/fruct53335.2021.9599970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 30th Conference of Open Innovations Association FRUCT","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doaj.org/article/5a817641a773460781bd4d9d04794b8b","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040362364","display_name":"Elena Shushkevich","orcid":"https://orcid.org/0009-0002-8899-3942"},"institutions":[{"id":"https://openalex.org/I4210144925","display_name":"Technological University Dublin","ror":"https://ror.org/04t0qbt32","country_code":"IE","type":"education","lineage":["https://openalex.org/I4210144925"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Elena Shushkevich","raw_affiliation_strings":["Technological University Dublin, Dublin, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technological University Dublin, Dublin, Ireland","institution_ids":["https://openalex.org/I4210144925"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057111785","display_name":"John Cardiff","orcid":"https://orcid.org/0000-0003-1863-4557"},"institutions":[{"id":"https://openalex.org/I4210144925","display_name":"Technological University Dublin","ror":"https://ror.org/04t0qbt32","country_code":"IE","type":"education","lineage":["https://openalex.org/I4210144925"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"John Cardiff","raw_affiliation_strings":["Technological University Dublin, Dublin, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technological University Dublin, Dublin, Ireland","institution_ids":["https://openalex.org/I4210144925"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2881,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.90696703,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"253","last_page":"258"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9997000098228455,"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":0.9997000098228455,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9387000203132629,"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/T14351","display_name":"Statistical and Computational Modeling","score":0.9294999837875366,"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/computer-science","display_name":"Computer science","score":0.8188392519950867},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.7597408294677734},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7367945313453674},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7278037667274475},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.7120202779769897},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5779869556427002},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5681544542312622},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.5502856969833374},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5430928468704224},{"id":"https://openalex.org/keywords/fake-news","display_name":"Fake news","score":0.505057156085968},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4949786067008972},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.4369823932647705},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.4194229245185852}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8188392519950867},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.7597408294677734},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7367945313453674},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7278037667274475},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7120202779769897},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5779869556427002},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5681544542312622},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.5502856969833374},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5430928468704224},{"id":"https://openalex.org/C2779756789","wikidata":"https://www.wikidata.org/wiki/Q28549308","display_name":"Fake news","level":2,"score":0.505057156085968},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4949786067008972},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.4369823932647705},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.4194229245185852},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/fruct53335.2021.9599970","is_oa":false,"landing_page_url":"https://doi.org/10.23919/fruct53335.2021.9599970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 30th Conference of Open Innovations Association FRUCT","raw_type":"proceedings-article"},{"id":"pmh:oai:doaj.org/article:5a817641a773460781bd4d9d04794b8b","is_oa":true,"landing_page_url":"https://doaj.org/article/5a817641a773460781bd4d9d04794b8b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 30, Iss 1, Pp 253-258 (2021)","raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:doaj.org/article:5a817641a773460781bd4d9d04794b8b","is_oa":true,"landing_page_url":"https://doaj.org/article/5a817641a773460781bd4d9d04794b8b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 30, Iss 1, Pp 253-258 (2021)","raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1993837871","https://openalex.org/W2064675550","https://openalex.org/W2121029939","https://openalex.org/W2160172778","https://openalex.org/W2770839727","https://openalex.org/W2894277582","https://openalex.org/W2901274746","https://openalex.org/W2965373594","https://openalex.org/W3013957436","https://openalex.org/W3014820715","https://openalex.org/W3016128507","https://openalex.org/W3097301690","https://openalex.org/W3157497262","https://openalex.org/W3158488293","https://openalex.org/W4200410444","https://openalex.org/W6746404259","https://openalex.org/W6805268507"],"related_works":["https://openalex.org/W2967733078","https://openalex.org/W3204430031","https://openalex.org/W3137904399","https://openalex.org/W4310492845","https://openalex.org/W4386690025","https://openalex.org/W2885778889","https://openalex.org/W4310224730","https://openalex.org/W2766514146","https://openalex.org/W4289703016","https://openalex.org/W2885516856"],"abstract_inverted_index":{"Nowadays":[0],"the":[1,38,64,67,73,100,136],"problem":[2],"of":[3,30,97],"fake":[4,17,56],"news":[5,18,45,57],"in":[6],"social":[7],"media":[8],"is":[9,23,34],"dramatically":[10],"increasing,":[11],"especially":[12],"when":[13],"it":[14,22,33],"refers":[15],"to":[16,36,40],"about":[19,58],"Covid-19,":[20],"as":[21],"a":[24],"recent":[25],"and":[26,42,72,108,110,127],"global":[27],"problem.":[28],"Because":[29],"this":[31],"fact,":[32],"important":[35],"have":[37],"ability":[39],"detect":[41],"delete":[43],"such":[44],"immediately.":[46],"In":[47],"our":[48,52],"research":[49],"we":[50],"concentrate":[51],"efforts":[53],"on":[54,60,135],"detecting":[55],"Coronavirus":[59],"small":[61],"datasets,":[62],"using":[63],"Constraint-2021":[65],"corpus:":[66],"full":[68],"dataset":[69,75],"(10,700":[70],"messages)":[71],"limited":[74,137],"(1,000":[76],"messages).":[77],"We":[78],"compare":[79],"classical":[80],"Machine":[81,124],"Learning":[82,125],"Algorithms":[83,126],"(4":[84],"algorithms:":[85,106],"Logistic":[86],"Regression,":[87],"Support":[88],"Vectors":[89],"Machine,":[90],"Gradient":[91],"Boosting,":[92],"Random":[93],"Forest)":[94],"-":[95],"algorithms":[96,121],"classification":[98],"from":[99],"Scikit-learn":[101],"library,":[102],"GMDH-Shell":[103],"tool":[104],"(2":[105],"Combi":[107],"Neuro),":[109],"Deep":[111],"Neural":[112,131],"Network":[113],"(LSTM":[114],"model).":[115],"The":[116],"results":[117,134],"show":[118],"that":[119],"GMDH":[120],"outperform":[122],"traditional":[123],"are":[128],"comparable":[129],"with":[130],"Networks":[132],"model's":[133],"dataset.":[138]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
