{"id":"https://openalex.org/W3036813626","doi":"https://doi.org/10.1080/09296174.2020.1771136","title":"Quantifying Perceived Political Bias of Newspapers through a Document Classification Technique","display_name":"Quantifying Perceived Political Bias of Newspapers through a Document Classification Technique","publication_year":2020,"publication_date":"2020-06-16","ids":{"openalex":"https://openalex.org/W3036813626","doi":"https://doi.org/10.1080/09296174.2020.1771136","mag":"3036813626"},"language":"en","primary_location":{"id":"doi:10.1080/09296174.2020.1771136","is_oa":false,"landing_page_url":"https://doi.org/10.1080/09296174.2020.1771136","pdf_url":null,"source":{"id":"https://openalex.org/S24321443","display_name":"Journal of Quantitative Linguistics","issn_l":"0929-6174","issn":["0929-6174","1744-5035"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319847","host_organization_name":"Routledge","host_organization_lineage":["https://openalex.org/P4310319847","https://openalex.org/P4310320547"],"host_organization_lineage_names":["Routledge","Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Quantitative Linguistics","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/A5089288976","display_name":"Hyungsuc Kang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164379","display_name":"Seoul Media Institute of Technology","ror":"https://ror.org/04ywg4h07","country_code":"KR","type":"education","lineage":["https://openalex.org/I4210164379"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyungsuc Kang","raw_affiliation_strings":["Department of Newmedia, Seoul Media Institute of Technology, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Newmedia, Seoul Media Institute of Technology, Seoul, Korea","institution_ids":["https://openalex.org/I4210164379"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035669691","display_name":"Janghoon Yang","orcid":"https://orcid.org/0000-0002-4073-6747"},"institutions":[{"id":"https://openalex.org/I4210164379","display_name":"Seoul Media Institute of Technology","ror":"https://ror.org/04ywg4h07","country_code":"KR","type":"education","lineage":["https://openalex.org/I4210164379"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Janghoon Yang","raw_affiliation_strings":["Department of Newmedia, Seoul Media Institute of Technology, Seoul, Korea"],"raw_orcid":"https://orcid.org/0000-0002-4073-6747","affiliations":[{"raw_affiliation_string":"Department of Newmedia, Seoul Media Institute of Technology, Seoul, Korea","institution_ids":["https://openalex.org/I4210164379"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5035669691"],"corresponding_institution_ids":["https://openalex.org/I4210164379"],"apc_list":null,"apc_paid":null,"fwci":2.3517,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.91162673,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"29","issue":"2","first_page":"127","last_page":"150"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13718","display_name":"Media Influence and Politics","score":0.9939000010490417,"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/T13718","display_name":"Media Influence and Politics","score":0.9939000010490417,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.991100013256073,"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/T11644","display_name":"Spam and Phishing Detection","score":0.984000027179718,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/newspaper","display_name":"Newspaper","score":0.8916610479354858},{"id":"https://openalex.org/keywords/media-bias","display_name":"Media bias","score":0.7982752323150635},{"id":"https://openalex.org/keywords/politics","display_name":"Politics","score":0.7183237075805664},{"id":"https://openalex.org/keywords/public-opinion","display_name":"Public opinion","score":0.574966311454773},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48948919773101807},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.4589027762413025},{"id":"https://openalex.org/keywords/public-relations","display_name":"Public relations","score":0.37125951051712036},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3696781396865845},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.10386472940444946}],"concepts":[{"id":"https://openalex.org/C201280247","wikidata":"https://www.wikidata.org/wiki/Q11032","display_name":"Newspaper","level":2,"score":0.8916610479354858},{"id":"https://openalex.org/C538316197","wikidata":"https://www.wikidata.org/wiki/Q11118951","display_name":"Media bias","level":3,"score":0.7982752323150635},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.7183237075805664},{"id":"https://openalex.org/C134698397","wikidata":"https://www.wikidata.org/wiki/Q17946","display_name":"Public opinion","level":3,"score":0.574966311454773},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48948919773101807},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.4589027762413025},{"id":"https://openalex.org/C39549134","wikidata":"https://www.wikidata.org/wiki/Q133080","display_name":"Public relations","level":1,"score":0.37125951051712036},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3696781396865845},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.10386472940444946}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/09296174.2020.1771136","is_oa":false,"landing_page_url":"https://doi.org/10.1080/09296174.2020.1771136","pdf_url":null,"source":{"id":"https://openalex.org/S24321443","display_name":"Journal of Quantitative Linguistics","issn_l":"0929-6174","issn":["0929-6174","1744-5035"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319847","host_organization_name":"Routledge","host_organization_lineage":["https://openalex.org/P4310319847","https://openalex.org/P4310320547"],"host_organization_lineage_names":["Routledge","Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Quantitative Linguistics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G2236256489","display_name":null,"funder_award_id":"NRF-2017R1A2B4007398","funder_id":"https://openalex.org/F4320320671","funder_display_name":"National Research Foundation"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W108612201","https://openalex.org/W144264647","https://openalex.org/W649867540","https://openalex.org/W1505061714","https://openalex.org/W1964389450","https://openalex.org/W2060704337","https://openalex.org/W2069922379","https://openalex.org/W2101234009","https://openalex.org/W2104496040","https://openalex.org/W2155320255","https://openalex.org/W2250966211","https://openalex.org/W2470673105","https://openalex.org/W2489061576","https://openalex.org/W2559655401","https://openalex.org/W2604272474","https://openalex.org/W2740751204","https://openalex.org/W2901001130","https://openalex.org/W4235023933","https://openalex.org/W4245973129"],"related_works":["https://openalex.org/W2376554757","https://openalex.org/W612150824","https://openalex.org/W2361959990","https://openalex.org/W1596512750","https://openalex.org/W2383443050","https://openalex.org/W2367702734","https://openalex.org/W2100945520","https://openalex.org/W2386525189","https://openalex.org/W2077098057","https://openalex.org/W2160163239"],"abstract_inverted_index":{"Even":[0],"though":[1],"a":[2,34,45,57],"certain":[3],"degree":[4],"of":[5,28,41,71],"political":[6,39,82,93],"bias":[7,15,40,62,83],"is":[8,16,63],"unavoidable":[9],"in":[10,85,88],"the":[11,26,61,67,86,91],"media,":[12],"strong":[13],"media":[14,42],"likely":[17],"to":[18,69],"have":[19],"an":[20],"impact":[21],"on":[22,25],"society,":[23],"especially":[24],"formation":[27],"public":[29],"opinion.":[30],"This":[31],"research":[32],"proposes":[33],"data-driven":[35],"method":[36],"for":[37,59],"quantifying":[38],"contents.":[43],"With":[44],"document":[46],"classification":[47],"technique":[48],"called":[49],"doc2vec":[50],"and":[51],"social":[52],"data":[53],"from":[54],"Facebook":[55],"posts,":[56],"model":[58,68],"analysing":[60],"developed.":[64],"By":[65],"applying":[66],"contents":[70],"major":[72],"South":[73],"Korean":[74],"newspapers,":[75],"this":[76],"paper":[77],"demonstrates":[78],"quantitatively":[79],"that":[80],"significant":[81],"exists":[84],"newspapers":[87],"line":[89],"with":[90],"perceived":[92],"bias.":[94]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-08-15T07:11:24.734988","created_date":"2025-10-10T00:00:00"}