{"id":"https://openalex.org/W4320024268","doi":"https://doi.org/10.1109/bigdata55660.2022.10020875","title":"Visual Attributes of Thumbnails in Predicting Top YouTube Brand Channels: A Machine Learning Approach","display_name":"Visual Attributes of Thumbnails in Predicting Top YouTube Brand Channels: A Machine Learning Approach","publication_year":2022,"publication_date":"2022-12-17","ids":{"openalex":"https://openalex.org/W4320024268","doi":"https://doi.org/10.1109/bigdata55660.2022.10020875"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata55660.2022.10020875","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata55660.2022.10020875","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":"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/A5102406455","display_name":"Haeun Jang","orcid":null},"institutions":[{"id":"https://openalex.org/I113825674","display_name":"Handong Global University","ror":"https://ror.org/00txhkt32","country_code":"KR","type":"education","lineage":["https://openalex.org/I113825674"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Haeun Jang","raw_affiliation_strings":["Handong Global University"],"affiliations":[{"raw_affiliation_string":"Handong Global University","institution_ids":["https://openalex.org/I113825674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103197804","display_name":"Seungho Kim","orcid":"https://orcid.org/0000-0002-4703-6989"},"institutions":[{"id":"https://openalex.org/I113825674","display_name":"Handong Global University","ror":"https://ror.org/00txhkt32","country_code":"KR","type":"education","lineage":["https://openalex.org/I113825674"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"SeungHo Kim","raw_affiliation_strings":["Handong Global University"],"affiliations":[{"raw_affiliation_string":"Handong Global University","institution_ids":["https://openalex.org/I113825674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010987970","display_name":"Jongseok Jeon","orcid":"https://orcid.org/0000-0002-4058-3875"},"institutions":[{"id":"https://openalex.org/I113825674","display_name":"Handong Global University","ror":"https://ror.org/00txhkt32","country_code":"KR","type":"education","lineage":["https://openalex.org/I113825674"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"JongSeok Jeon","raw_affiliation_strings":["Handong Global University"],"affiliations":[{"raw_affiliation_string":"Handong Global University","institution_ids":["https://openalex.org/I113825674"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035398560","display_name":"Joohee Oh","orcid":null},"institutions":[{"id":"https://openalex.org/I113825674","display_name":"Handong Global University","ror":"https://ror.org/00txhkt32","country_code":"KR","type":"education","lineage":["https://openalex.org/I113825674"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Joohee Oh","raw_affiliation_strings":["Handong Global University"],"affiliations":[{"raw_affiliation_string":"Handong Global University","institution_ids":["https://openalex.org/I113825674"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102406455"],"corresponding_institution_ids":["https://openalex.org/I113825674"],"apc_list":null,"apc_paid":null,"fwci":0.5811,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.74777778,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"8","issue":null,"first_page":"6660","last_page":"6662"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10609","display_name":"Digital Marketing and Social Media","score":0.9998000264167786,"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/T10609","display_name":"Digital Marketing and Social Media","score":0.9998000264167786,"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/T10145","display_name":"Consumer Behavior in Brand Consumption and Identification","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13355","display_name":"Marketing and Advertising Strategies","score":0.9524999856948853,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/thumbnail","display_name":"Thumbnail","score":0.9651432037353516},{"id":"https://openalex.org/keywords/upload","display_name":"Upload","score":0.7315671443939209},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6586160659790039},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6255031228065491},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5301329493522644},{"id":"https://openalex.org/keywords/brand-image","display_name":"Brand image","score":0.4470682144165039},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3901846706867218},{"id":"https://openalex.org/keywords/advertising","display_name":"Advertising","score":0.3806150555610657},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.3499259650707245},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.24114000797271729},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21178275346755981},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.1800537407398224},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10479754209518433}],"concepts":[{"id":"https://openalex.org/C160174412","wikidata":"https://www.wikidata.org/wiki/Q873806","display_name":"Thumbnail","level":3,"score":0.9651432037353516},{"id":"https://openalex.org/C71901391","wikidata":"https://www.wikidata.org/wiki/Q7126699","display_name":"Upload","level":2,"score":0.7315671443939209},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6586160659790039},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6255031228065491},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5301329493522644},{"id":"https://openalex.org/C2984367651","wikidata":"https://www.wikidata.org/wiki/Q431289","display_name":"Brand image","level":2,"score":0.4470682144165039},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3901846706867218},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.3806150555610657},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.3499259650707245},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.24114000797271729},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21178275346755981},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.1800537407398224},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10479754209518433},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata55660.2022.10020875","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata55660.2022.10020875","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1598151690","https://openalex.org/W1756034034","https://openalex.org/W1981976602","https://openalex.org/W2056783598","https://openalex.org/W2077051162","https://openalex.org/W2098369756","https://openalex.org/W2145073242","https://openalex.org/W2148698197","https://openalex.org/W2464238462","https://openalex.org/W2768550177","https://openalex.org/W3105117297","https://openalex.org/W4212883601","https://openalex.org/W4214625488","https://openalex.org/W4282593990","https://openalex.org/W6681651645","https://openalex.org/W7019859633"],"related_works":["https://openalex.org/W2011506639","https://openalex.org/W137154299","https://openalex.org/W2095080241","https://openalex.org/W2501702011","https://openalex.org/W2908847257","https://openalex.org/W2512435841","https://openalex.org/W4298160414","https://openalex.org/W2353159507","https://openalex.org/W2373789653","https://openalex.org/W1972241028"],"abstract_inverted_index":{"With":[0],"video":[1],"marketing":[2,122],"platforms":[3],"growing":[4],"rapidly,":[5],"brands":[6],"create":[7],"YouTube":[8],"channels":[9,34,52],"to":[10,104],"distribute":[11],"their":[12],"content":[13,107,119],"and":[14,57,77,111,121],"communicate":[15],"with":[16],"customers.":[17],"This":[18],"study":[19,64,100],"proposes":[20],"a":[21,59],"prediction":[22,61],"model":[23],"analyzing":[24],"16,278":[25],"image":[26,48],"data":[27,55],"sets":[28],"collected":[29],"based":[30],"on":[31],"153":[32],"brand":[33,51,75,116],"generated":[35],"before":[36,108],"September":[37],"26,":[38],"2022.":[39],"We":[40],"analyze":[41],"the":[42,45,54,67,70,78,81,99,115],"factors":[43],"affecting":[44],"number":[46,86],"of":[47,50,69,80,84,87,98],"views":[49],"using":[53],"set,":[56],"constructs":[58],"view":[60],"model.":[62],"The":[63,96],"found":[65],"that":[66],"characteristics":[68],"thumbnail":[71],"image,":[72],"offline":[73],"top":[74,92],"characteristics,":[76],"size":[79],"channel":[82,88,94],"(number":[83],"subscribers,":[85],"videos)":[89],"affect":[90],"YouTube\u2019s":[91],"online":[93],"views.":[95],"results":[97],"make":[101],"it":[102,112],"possible":[103],"predict":[105],"branded":[106],"uploading":[109],"it,":[110],"can":[113],"help":[114],"for":[117],"planning":[118],"production":[120],"activities":[123],"through":[124],"YouTube.":[125]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}
