{"id":"https://openalex.org/W4318147860","doi":"https://doi.org/10.1109/bigdata55660.2022.10020824","title":"Feature Integration Strategies for Multilingual Fake News Classification","display_name":"Feature Integration Strategies for Multilingual Fake News Classification","publication_year":2022,"publication_date":"2022-12-17","ids":{"openalex":"https://openalex.org/W4318147860","doi":"https://doi.org/10.1109/bigdata55660.2022.10020824"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata55660.2022.10020824","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata55660.2022.10020824","pdf_url":null,"source":{"id":"https://openalex.org/S4363607709","display_name":"2022 IEEE International Conference on Big Data (Big Data)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"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/A5053942210","display_name":"J\u0119drzej Kozal","orcid":"https://orcid.org/0000-0001-7336-2561"},"institutions":[{"id":"https://openalex.org/I11923345","display_name":"Wroc\u0142aw University of Science and Technology","ror":"https://ror.org/008fyn775","country_code":"PL","type":"education","lineage":["https://openalex.org/I11923345"]},{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Jedrzej Kozal","raw_affiliation_strings":["Wroclaw University of Science and Technology,Department of Systems and Computer Networks,Wroclaw,Poland","Department of Systems and Computer Networks, Wroclaw University of Science and Technology, Wroclaw, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wroclaw University of Science and Technology,Department of Systems and Computer Networks,Wroclaw,Poland","institution_ids":["https://openalex.org/I11923345","https://openalex.org/I686019"]},{"raw_affiliation_string":"Department of Systems and Computer Networks, Wroclaw University of Science and Technology, Wroclaw, Poland","institution_ids":["https://openalex.org/I11923345","https://openalex.org/I686019"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024439942","display_name":"Michal Les","orcid":null},"institutions":[{"id":"https://openalex.org/I11923345","display_name":"Wroc\u0142aw University of Science and Technology","ror":"https://ror.org/008fyn775","country_code":"PL","type":"education","lineage":["https://openalex.org/I11923345"]},{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Michal Les","raw_affiliation_strings":["Wroclaw University of Science and Technology,Department of Systems and Computer Networks,Wroclaw,Poland","Department of Systems and Computer Networks, Wroclaw University of Science and Technology, Wroclaw, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wroclaw University of Science and Technology,Department of Systems and Computer Networks,Wroclaw,Poland","institution_ids":["https://openalex.org/I11923345","https://openalex.org/I686019"]},{"raw_affiliation_string":"Department of Systems and Computer Networks, Wroclaw University of Science and Technology, Wroclaw, Poland","institution_ids":["https://openalex.org/I11923345","https://openalex.org/I686019"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054430294","display_name":"Pawe\u0142 Zyblewski","orcid":"https://orcid.org/0000-0002-4224-6709"},"institutions":[{"id":"https://openalex.org/I11923345","display_name":"Wroc\u0142aw University of Science and Technology","ror":"https://ror.org/008fyn775","country_code":"PL","type":"education","lineage":["https://openalex.org/I11923345"]},{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Pawel Zyblewski","raw_affiliation_strings":["Wroclaw University of Science and Technology,Department of Systems and Computer Networks,Wroclaw,Poland","Department of Systems and Computer Networks, Wroclaw University of Science and Technology, Wroclaw, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wroclaw University of Science and Technology,Department of Systems and Computer Networks,Wroclaw,Poland","institution_ids":["https://openalex.org/I11923345","https://openalex.org/I686019"]},{"raw_affiliation_string":"Department of Systems and Computer Networks, Wroclaw University of Science and Technology, Wroclaw, Poland","institution_ids":["https://openalex.org/I11923345","https://openalex.org/I686019"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059369082","display_name":"Pawe\u0142 Ksieniewicz","orcid":"https://orcid.org/0000-0001-9578-8395"},"institutions":[{"id":"https://openalex.org/I11923345","display_name":"Wroc\u0142aw University of Science and Technology","ror":"https://ror.org/008fyn775","country_code":"PL","type":"education","lineage":["https://openalex.org/I11923345"]},{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Pawel Ksieniewicz","raw_affiliation_strings":["Wroclaw University of Science and Technology,Department of Systems and Computer Networks,Wroclaw,Poland","Department of Systems and Computer Networks, Wroclaw University of Science and Technology, Wroclaw, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wroclaw University of Science and Technology,Department of Systems and Computer Networks,Wroclaw,Poland","institution_ids":["https://openalex.org/I11923345","https://openalex.org/I686019"]},{"raw_affiliation_string":"Department of Systems and Computer Networks, Wroclaw University of Science and Technology, Wroclaw, Poland","institution_ids":["https://openalex.org/I11923345","https://openalex.org/I686019"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060936121","display_name":"Micha\u0142 Wo\u017aniak","orcid":"https://orcid.org/0000-0003-0146-4205"},"institutions":[{"id":"https://openalex.org/I11923345","display_name":"Wroc\u0142aw University of Science and Technology","ror":"https://ror.org/008fyn775","country_code":"PL","type":"education","lineage":["https://openalex.org/I11923345"]},{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Michal Wozniak","raw_affiliation_strings":["Wroclaw University of Science and Technology,Department of Systems and Computer Networks,Wroclaw,Poland","Department of Systems and Computer Networks, Wroclaw University of Science and Technology, Wroclaw, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wroclaw University of Science and Technology,Department of Systems and Computer Networks,Wroclaw,Poland","institution_ids":["https://openalex.org/I11923345","https://openalex.org/I686019"]},{"raw_affiliation_string":"Department of Systems and Computer Networks, Wroclaw University of Science and Technology, Wroclaw, Poland","institution_ids":["https://openalex.org/I11923345","https://openalex.org/I686019"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9038,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.83072539,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"23","issue":null,"first_page":"5049","last_page":"5058"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9968000054359436,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9803000092506409,"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":0.8130451440811157},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6750930547714233},{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.611971378326416},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5005908012390137},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.47194474935531616},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4310758709907532},{"id":"https://openalex.org/keywords/disinformation","display_name":"Disinformation","score":0.4156162440776825},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.41339945793151855},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36089104413986206},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.34933435916900635},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.2680841088294983},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.09278258681297302}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8130451440811157},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6750930547714233},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.611971378326416},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5005908012390137},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.47194474935531616},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4310758709907532},{"id":"https://openalex.org/C2776552730","wikidata":"https://www.wikidata.org/wiki/Q189656","display_name":"Disinformation","level":3,"score":0.4156162440776825},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.41339945793151855},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36089104413986206},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.34933435916900635},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.2680841088294983},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.09278258681297302},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata55660.2022.10020824","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata55660.2022.10020824","pdf_url":null,"source":{"id":"https://openalex.org/S4363607709","display_name":"2022 IEEE International Conference on Big Data (Big Data)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320327261","display_name":"National Center for Research and Development","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1981025032","https://openalex.org/W1985697096","https://openalex.org/W2144211451","https://openalex.org/W2165599843","https://openalex.org/W2543744876","https://openalex.org/W2554367394","https://openalex.org/W2739273633","https://openalex.org/W2768282280","https://openalex.org/W2882319491","https://openalex.org/W2896457183","https://openalex.org/W2945391245","https://openalex.org/W2950720493","https://openalex.org/W2955502916","https://openalex.org/W2963918774","https://openalex.org/W2964303773","https://openalex.org/W2964623639","https://openalex.org/W2965373594","https://openalex.org/W2973131549","https://openalex.org/W2979598046","https://openalex.org/W2980989188","https://openalex.org/W2984711302","https://openalex.org/W2984872297","https://openalex.org/W2987656486","https://openalex.org/W2991596147","https://openalex.org/W2997581695","https://openalex.org/W3007531719","https://openalex.org/W3010935087","https://openalex.org/W3015822540","https://openalex.org/W3022731820","https://openalex.org/W3033156234","https://openalex.org/W3108011434","https://openalex.org/W3115311952","https://openalex.org/W3208249853","https://openalex.org/W4206757623","https://openalex.org/W4224308101","https://openalex.org/W4292779060","https://openalex.org/W4385245566","https://openalex.org/W4385681388","https://openalex.org/W6631190155","https://openalex.org/W6755207826"],"related_works":["https://openalex.org/W3107474891","https://openalex.org/W2961085424","https://openalex.org/W3047601251","https://openalex.org/W2947781947","https://openalex.org/W2710805143","https://openalex.org/W2753827282","https://openalex.org/W142374489","https://openalex.org/W3200179079","https://openalex.org/W2796790296","https://openalex.org/W2884815824"],"abstract_inverted_index":{"The":[0,128,183],"abundance":[1],"of":[2,15,49,85,90,130,157,185],"information":[3],"in":[4,8,78,88,145,167],"digital":[5],"media,":[6],"which":[7,72],"today\u2019s":[9],"world":[10],"is":[11,38],"the":[12,21,82,138,171,189,193],"main":[13],"source":[14],"knowledge":[16,86,190],"about":[17],"current":[18],"events":[19],"for":[20,74,163],"masses,":[22],"makes":[23],"it":[24],"possible":[25],"to":[26,41,51,137,187],"spread":[27],"disinformation":[28],"on":[29,133],"a":[30,39,69],"larger":[31],"scale":[32],"than":[33],"ever":[34],"before.":[35],"Consequently,":[36],"there":[37],"need":[40],"develop":[42],"novel":[43],"fake":[44,75,139],"news":[45,76,140],"detection":[46,77],"approaches":[47],"capable":[48],"adapting":[50],"changing":[52],"factual":[53],"contexts":[54],"and":[55,81,106,147],"generalizing":[56],"previously":[57],"or":[58,102],"concurrently":[59],"acquired":[60,87,191],"knowledge.":[61],"To":[62],"deal":[63],"with":[64,121,175],"this":[65],"problem,":[66],"we":[67],"propose":[68],"ensemble-based":[70],"approach,":[71],"allows":[73],"multiple":[79],"languages":[80,159,195],"mutual":[83],"transfer":[84],"each":[89],"them.":[91],"Both":[92],"classical":[93,176],"feature":[94],"extractors,":[95],"such":[96],"as":[97],"Term":[98],"frequency-inverse":[99],"document":[100],"frequency":[101],"Latent":[103],"Dirichlet":[104],"Allocation,":[105],"integrated":[107],"deep":[108,172],"NLP":[109],"(Natural":[110],"Language":[111],"Processing)":[112],"BERT":[113],"(Bidirectional":[114],"Encoder":[115],"Representations":[116],"from":[117],"Transformers)":[118],"models":[119,186],"paired":[120],"MLP":[122],"(Multilayer":[123],"Perceptron)":[124],"classifier,":[125],"were":[126],"employed.":[127],"results":[129],"experiments":[131],"conducted":[132],"two":[134],"datasets":[135],"dedicated":[136],"classification":[141],"t":[142],"ask":[143],"(":[144],"English":[146],"Spanish,":[148],"respectively),":[149],"supported":[150],"by":[151],"statistical":[152],"analysis,":[153],"confirmed":[154],"that":[155],"utilization":[156],"additional":[158],"could":[160],"improve":[161],"performance":[162],"traditional":[164],"methods.":[165],"Also,":[166],"some":[168],"cases":[169],"supplementing":[170],"learning":[173],"method":[174],"ones":[177],"can":[178],"positively":[179],"impact":[180],"obtained":[181],"results.":[182],"ability":[184],"generalize":[188],"between":[192],"analyzed":[194],"was":[196],"also":[197],"observed.":[198]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}