{"id":"https://openalex.org/W7164932437","doi":"https://doi.org/10.48550/arxiv.2606.14780","title":"YTClickbait21K: Human-Annotated Multimodal Dataset for YouTube Clickbait Detection Across Diverse Channels and Content Categories","display_name":"YTClickbait21K: Human-Annotated Multimodal Dataset for YouTube Clickbait Detection Across Diverse Channels and Content Categories","publication_year":2026,"publication_date":"2026-06-10","ids":{"openalex":"https://openalex.org/W7164932437","doi":"https://doi.org/10.48550/arxiv.2606.14780"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.14780","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.14780","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.14780","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101062919","display_name":"Md. Minhazul Islam","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Islam, Md. Minhazul","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138713479","display_name":"Md. Tanbeer Jubaer","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jubaer, Md. Tanbeer","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122614096","display_name":"Amith Khandakar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Khandakar, Amith","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133271300","display_name":"Shovon Sarker","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sarker, Shovon","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074178651","display_name":"Sabera Rahman","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rahman, Sumaiya","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004338780","display_name":"Md Borhan Mia","orcid":"https://orcid.org/0000-0003-2085-1331"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mia, Md. Masum","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085708361","display_name":"Mohamed Arselene Ayari","orcid":"https://orcid.org/0000-0002-8663-886X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ayari, Mohamed Arselene","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5013951471","display_name":"Hamed Noori","orcid":"https://orcid.org/0000-0002-3326-5449"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Noori, Hamed","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.49380001425743103,"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":0.49380001425743103,"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.08240000158548355,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.04800000041723251,"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/annotation","display_name":"Annotation","score":0.6969000101089478},{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.6161999702453613},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5910999774932861},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5266000032424927},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.38190001249313354},{"id":"https://openalex.org/keywords/thumbnail","display_name":"Thumbnail","score":0.3718000054359436},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.3686999976634979},{"id":"https://openalex.org/keywords/multimodality","display_name":"Multimodality","score":0.32589998841285706}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7871999740600586},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.6969000101089478},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.6161999702453613},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5910999774932861},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5266000032424927},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4884999990463257},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.414900004863739},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.38190001249313354},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.38179999589920044},{"id":"https://openalex.org/C160174412","wikidata":"https://www.wikidata.org/wiki/Q873806","display_name":"Thumbnail","level":3,"score":0.3718000054359436},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.3686999976634979},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3337000012397766},{"id":"https://openalex.org/C2780910867","wikidata":"https://www.wikidata.org/wiki/Q1952416","display_name":"Multimodality","level":2,"score":0.32589998841285706},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.31700000166893005},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.3160000145435333},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.3116999864578247},{"id":"https://openalex.org/C2780660688","wikidata":"https://www.wikidata.org/wiki/Q25052564","display_name":"Multimodal learning","level":2,"score":0.3095000088214874},{"id":"https://openalex.org/C2984870255","wikidata":"https://www.wikidata.org/wiki/Q5196451","display_name":"User engagement","level":2,"score":0.2978000044822693},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.29269999265670776},{"id":"https://openalex.org/C162446236","wikidata":"https://www.wikidata.org/wiki/Q653137","display_name":"Content analysis","level":2,"score":0.265500009059906},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.26510000228881836},{"id":"https://openalex.org/C101293273","wikidata":"https://www.wikidata.org/wiki/Q579716","display_name":"User-generated content","level":3,"score":0.2630999982357025},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.2583000063896179}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.14780","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.14780","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.14780","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.14780","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.4196178913116455}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Clickbait":[0],"content":[1,48,154],"on":[2],"video-sharing":[3],"platforms":[4],"poses":[5],"a":[6,31,88,135],"significant":[7],"challenge":[8],"to":[9],"information":[10],"reliability,":[11],"yet":[12],"progress":[13],"in":[14,147],"automated":[15,153],"detection":[16],"has":[17],"been":[18],"constrained":[19],"by":[20,84],"the":[21,118],"lack":[22],"of":[23,121],"large-scale,":[24],"high-quality":[25],"multimodal":[26,73,130],"datasets.":[27],"We":[28],"present":[29],"YTClickbait21K,":[30],"human-annotated":[32],"YouTube":[33],"clickbait":[34,122],"dataset":[35,108,133],"comprising":[36],"21,238":[37],"videos":[38],"collected":[39],"from":[40],"40":[41],"channels":[42],"across":[43],"29":[44],"countries,":[45],"covering":[46],"diverse":[47],"categories":[49],"such":[50],"as":[51],"news,":[52],"entertainment,":[53],"education,":[54],"and":[55,96,129,140,151],"gaming.":[56],"Each":[57],"sample":[58],"includes":[59],"structured":[60],"metadata":[61],"(title,":[62],"description,":[63],"engagement":[64],"statistics)":[65],"along":[66],"with":[67,100],"associated":[68],"thumbnail":[69],"images,":[70],"enabling":[71],"comprehensive":[72],"analysis.":[74],"To":[75],"ensure":[76],"annotation":[77,127],"quality,":[78],"every":[79],"video":[80],"was":[81],"independently":[82],"labeled":[83],"three":[85],"annotators":[86],"using":[87],"standardized":[89],"decision":[90],"framework":[91],"that":[92],"incorporates":[93],"textual,":[94],"visual,":[95],"cross-modal":[97,148],"consistency":[98],"cues,":[99],"final":[101],"labels":[102],"determined":[103],"through":[104],"majority":[105],"voting.":[106],"The":[107],"exhibits":[109],"substantial":[110],"inter-annotator":[111],"agreement":[112],"(k=0.65),":[113],"confirming":[114],"reliable":[115],"labeling":[116],"despite":[117],"inherent":[119],"subjectivity":[120],"detection.":[123],"By":[124],"combining":[125],"scale,":[126],"rigor,":[128],"richness,":[131],"this":[132],"provides":[134],"robust":[136],"benchmark":[137],"for":[138],"developing":[139],"evaluating":[141],"machine":[142],"learning":[143],"models,":[144],"facilitating":[145],"research":[146],"semantic":[149],"understanding,":[150],"advancing":[152],"moderation":[155],"systems.":[156]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-06-17T00:00:00"}