{"id":"https://openalex.org/W4399361954","doi":"https://doi.org/10.1186/s40537-024-00946-1","title":"PoLYTC: a novel BERT-based classifier to detect political leaning of YouTube videos based on their titles","display_name":"PoLYTC: a novel BERT-based classifier to detect political leaning of YouTube videos based on their titles","publication_year":2024,"publication_date":"2024-06-05","ids":{"openalex":"https://openalex.org/W4399361954","doi":"https://doi.org/10.1186/s40537-024-00946-1"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-024-00946-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-024-00946-1","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-024-00946-1","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-024-00946-1","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037300629","display_name":"Nouar AlDahoul","orcid":"https://orcid.org/0000-0001-5522-0033"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Nouar AlDahoul","raw_affiliation_strings":["Computer Science, New York University Abu Dhabi,  Abu Dhabi, UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science, New York University Abu Dhabi,  Abu Dhabi, UAE","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007282319","display_name":"Talal Rahwan","orcid":"https://orcid.org/0000-0003-0070-0667"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Talal Rahwan","raw_affiliation_strings":["Computer Science, New York University Abu Dhabi,  Abu Dhabi, UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science, New York University Abu Dhabi,  Abu Dhabi, UAE","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018129441","display_name":"Yasir Zaki","orcid":"https://orcid.org/0000-0001-8078-6944"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yasir Zaki","raw_affiliation_strings":["Computer Science, New York University Abu Dhabi,  Abu Dhabi, UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science, New York University Abu Dhabi,  Abu Dhabi, UAE","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5037300629"],"corresponding_institution_ids":[],"apc_list":{"value":1060,"currency":"GBP","value_usd":1300},"apc_paid":{"value":1060,"currency":"GBP","value_usd":1300},"fwci":0.9441,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.78461386,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"11","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9994999766349792,"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/T11147","display_name":"Misinformation and Its Impacts","score":0.9926999807357788,"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":0.9664000272750854,"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/computer-science","display_name":"Computer science","score":0.8020017147064209},{"id":"https://openalex.org/keywords/computational-science-and-engineering","display_name":"Computational Science and Engineering","score":0.7252194881439209},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7172053456306458},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4165201187133789},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.347342312335968},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3364070653915405},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2854349911212921}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8020017147064209},{"id":"https://openalex.org/C68597687","wikidata":"https://www.wikidata.org/wiki/Q362601","display_name":"Computational Science and Engineering","level":2,"score":0.7252194881439209},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7172053456306458},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4165201187133789},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.347342312335968},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3364070653915405},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2854349911212921}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s40537-024-00946-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-024-00946-1","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-024-00946-1","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ec8e57b71f3148528bad5d4a25358bd0","is_oa":false,"landing_page_url":"https://doaj.org/article/ec8e57b71f3148528bad5d4a25358bd0","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Big Data, Vol 11, Iss 1, Pp 1-16 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s40537-024-00946-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-024-00946-1","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-024-00946-1","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6299999952316284,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4399361954.pdf"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W2016053056","https://openalex.org/W2250539671","https://openalex.org/W2765242813","https://openalex.org/W2890953671","https://openalex.org/W2911489562","https://openalex.org/W2949911880","https://openalex.org/W2951700705","https://openalex.org/W2971258845","https://openalex.org/W2972901607","https://openalex.org/W3001221685","https://openalex.org/W3004334530","https://openalex.org/W3120093105","https://openalex.org/W3127869043","https://openalex.org/W3144041472","https://openalex.org/W3153018527","https://openalex.org/W3184074798","https://openalex.org/W3189072387","https://openalex.org/W3194628895","https://openalex.org/W3198866930","https://openalex.org/W3206834484","https://openalex.org/W4200002231","https://openalex.org/W4293150093","https://openalex.org/W4378072572","https://openalex.org/W4380048732","https://openalex.org/W4380360506","https://openalex.org/W4385325063","https://openalex.org/W4385802839","https://openalex.org/W6702248584"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4393232657","https://openalex.org/W4390638272","https://openalex.org/W2472237121","https://openalex.org/W4323316863","https://openalex.org/W1985111449","https://openalex.org/W4304789336","https://openalex.org/W2340692695","https://openalex.org/W4306175439","https://openalex.org/W2012556673"],"abstract_inverted_index":{"Abstract":[0],"Over":[1],"two-thirds":[2],"of":[3,12,42,117,140,194,202],"the":[4,22,28,39,61,65,73,125,138,141,146,185,191,196,203,224],"U.S.":[5,13],"population":[6],"uses":[7],"YouTube,":[8],"and":[9,63,110,132,165,184,219],"a":[10,49,104,114],"quarter":[11],"adults":[14],"regularly":[15],"receive":[16],"their":[17,96,182],"news":[18,157,204],"from":[19,154],"it.":[20],"Despite":[21],"massive":[23],"political":[24,40,100,174,198,225],"content":[25,226],"available":[26],"on":[27,95,113,181,227],"platform,":[29],"to":[30,37,90,217],"date,":[31],"no":[32],"classifier":[33,50],"has":[34],"been":[35],"proposed":[36,89,126],"classify":[38,91],"leaning":[41,199],"YouTube":[43,86,92,120,159,209],"videos.":[44,121],"The":[45,166],"only":[46],"exception":[47],"is":[48,88,111],"that":[51,124,201],"requires":[52],"extensive":[53],"information":[54],"about":[55,214],"each":[56],"video":[57],"(rather":[58,71],"than":[59,72],"just":[60,68],"title)":[62],"classifies":[64],"videos":[66,93,151,177,216],"into":[67,76,98],"three":[69],"classes":[70],"widely-used":[74],"categorization":[75],"six":[77,99],"classes).":[78],"To":[79,143],"fill":[80],"this":[81],"gap,":[82],"\u201cPoLYTC\u201d":[83],"(Political":[84],"Leaning":[85],"Classifier)":[87],"based":[94,180],"titles":[97],"classes.":[101],"PoLYTC":[102,206],"utilizes":[103],"large":[105],"language":[106],"model,":[107],"namely":[108],"BERT,":[109],"fine-tuned":[112],"public":[115],"dataset":[116],"11.5":[118],"million":[119],"Experiments":[122],"reveal":[123],"solution":[127],"achieves":[128],"high":[129,133],"accuracy":[130],"(75%)":[131],"F1-score":[134],"(77%),":[135],"thereby":[136],"outperforming":[137],"state":[139],"art.":[142],"further":[144],"validate":[145],"solution\u2019s":[147],"classification":[148],"performance,":[149],"several":[150],"were":[152,178],"collected":[153],"numerous":[155],"prominent":[156],"agencies\u2019":[158],"channels,":[160],"such":[161],"as":[162],"Fox":[163],"News":[164],"New":[167],"York":[168],"Times,":[169],"which":[170,215],"have":[171,187],"widely":[172],"known":[173],"leanings.":[175],"These":[176],"classified":[179],"titles,":[183],"results":[186],"shown":[188],"that,":[189],"in":[190],"vast":[192],"majority":[193],"cases,":[195],"predicted":[197],"matches":[200],"agency.":[205],"can":[207,220],"help":[208,221],"users":[210],"make":[211],"informed":[212],"decisions":[213],"watch":[218],"researchers":[222],"analyze":[223],"YouTube.":[228]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}