{"id":"https://openalex.org/W4403674682","doi":"https://doi.org/10.1109/access.2024.3484762","title":"Predicting Social Media Popularity With Large Language Models: Transforming Metadata Into Semantic-Enriched and Contextualized Text","display_name":"Predicting Social Media Popularity With Large Language Models: Transforming Metadata Into Semantic-Enriched and Contextualized Text","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4403674682","doi":"https://doi.org/10.1109/access.2024.3484762"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3484762","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3484762","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3484762","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Tianjian Chen","orcid":"https://orcid.org/0009-0004-0845-1663"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianjian Chen","raw_affiliation_strings":["School of Economics, Guangdong University of Technology, Tianhe, Guangzhou, Guangdong, China","School of Economics, Guangdong University of Technology, No. 161, Yinglong Road, Tianhe District, Guangzhou, Guangdong, China"],"raw_orcid":"https://orcid.org/0009-0004-0845-1663","affiliations":[{"raw_affiliation_string":"School of Economics, Guangdong University of Technology, Tianhe, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I139024713"]},{"raw_affiliation_string":"School of Economics, Guangdong University of Technology, No. 161, Yinglong Road, Tianhe District, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010405974","display_name":"Jian Huang","orcid":"https://orcid.org/0000-0003-3282-8892"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiang Huang","raw_affiliation_strings":["School of Economics, Guangdong University of Technology, Tianhe, Guangzhou, Guangdong, China","School of Economics, Guangdong University of Technology, No. 161, Yinglong Road, Tianhe District, Guangzhou, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics, Guangdong University of Technology, Tianhe, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I139024713"]},{"raw_affiliation_string":"School of Economics, Guangdong University of Technology, No. 161, Yinglong Road, Tianhe District, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xuetong Wu","orcid":"https://orcid.org/0009-0008-7983-4812"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuetong Wu","raw_affiliation_strings":["School of Economics, Guangdong University of Technology, Tianhe, Guangzhou, Guangdong, China","School of Economics, Guangdong University of Technology, No. 161, Yinglong Road, Tianhe District, Guangzhou, Guangdong, China"],"raw_orcid":"https://orcid.org/0009-0008-7983-4812","affiliations":[{"raw_affiliation_string":"School of Economics, Guangdong University of Technology, Tianhe, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I139024713"]},{"raw_affiliation_string":"School of Economics, Guangdong University of Technology, No. 161, Yinglong Road, Tianhe District, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110963434","display_name":"Changcheng Shao","orcid":"https://orcid.org/0009-0001-6638-4700"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changcheng Shao","raw_affiliation_strings":["School of Management, Guangdong University of Technology, Tianhe, Guangzhou, Guangdong, China","School of Management, Guangdong University of Technology, No. 161, Yinglong Road, Tianhe District, Guangzhou, Guangdong, China"],"raw_orcid":"https://orcid.org/0009-0001-6638-4700","affiliations":[{"raw_affiliation_string":"School of Management, Guangdong University of Technology, Tianhe, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I139024713"]},{"raw_affiliation_string":"School of Management, Guangdong University of Technology, No. 161, Yinglong Road, Tianhe District, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I139024713"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139024713"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1540016,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"192528","last_page":"192538"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9775000214576721,"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/T10028","display_name":"Topic Modeling","score":0.9775000214576721,"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":0.9258000254631042,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9101999998092651,"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":0.8521199226379395},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.7638257741928101},{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.7619606256484985},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6359328031539917},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5007009506225586},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.4925330579280853},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.4468994438648224},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.40362265706062317},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08569368720054626}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8521199226379395},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.7638257741928101},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.7619606256484985},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6359328031539917},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5007009506225586},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4925330579280853},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4468994438648224},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.40362265706062317},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08569368720054626},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3484762","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3484762","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:baf788f7bbef4f479565c63962597115","is_oa":true,"landing_page_url":"https://doaj.org/article/baf788f7bbef4f479565c63962597115","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 192528-192538 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3484762","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3484762","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5736279164","display_name":null,"funder_award_id":"2023B1111050010","funder_id":"https://openalex.org/F4320327827","funder_display_name":"Key Research and Development Project of Hainan Province"},{"id":"https://openalex.org/G8722228741","display_name":null,"funder_award_id":"2020B0101100001","funder_id":"https://openalex.org/F4320327827","funder_display_name":"Key Research and Development Project of Hainan Province"}],"funders":[{"id":"https://openalex.org/F4320327827","display_name":"Key Research and Development Project of Hainan Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1756034034","https://openalex.org/W2018165284","https://openalex.org/W2019900602","https://openalex.org/W2039355801","https://openalex.org/W2090059852","https://openalex.org/W2139750075","https://openalex.org/W2170872804","https://openalex.org/W2194775991","https://openalex.org/W2524482439","https://openalex.org/W2526068684","https://openalex.org/W2750725664","https://openalex.org/W2766233751","https://openalex.org/W2766908198","https://openalex.org/W2783308485","https://openalex.org/W2811105094","https://openalex.org/W2895956802","https://openalex.org/W2963446712","https://openalex.org/W2963603520","https://openalex.org/W2981412311","https://openalex.org/W2982279682","https://openalex.org/W3035569984","https://openalex.org/W3093330054","https://openalex.org/W3096767823","https://openalex.org/W3117951723","https://openalex.org/W3205972537","https://openalex.org/W4304087063","https://openalex.org/W6637373629","https://openalex.org/W6686207219","https://openalex.org/W6796581206","https://openalex.org/W6856800273"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2368605798","https://openalex.org/W2518037665","https://openalex.org/W2348524959","https://openalex.org/W2477036161","https://openalex.org/W2368049389","https://openalex.org/W2384861574","https://openalex.org/W4294565801","https://openalex.org/W2093123876","https://openalex.org/W4388192780"],"abstract_inverted_index":{"Accurate":[0],"prediction":[1],"of":[2,15,40,50,79,90,118,197,225],"social":[3,41,66,105,119,176,198],"media":[4,42,67,106,120,177,199],"content":[5],"popularity":[6,200],"remains":[7],"a":[8,100,180],"significant":[9],"challenge":[10],"due":[11],"to":[12,33,74,150,184],"the":[13,35,48,51,116,163,173,195,209,221,226,232],"limitations":[14],"traditional":[16],"machine":[17],"learning":[18,21,171],"and":[19,38,60,88,110,129,139,170,243],"deep":[20],"approaches.":[22,187],"These":[23],"methods":[24],"often":[25],"rely":[26],"on":[27,231],"manually":[28],"engineered":[29],"features":[30],"that":[31,103],"fail":[32],"capture":[34],"full":[36],"complexity":[37],"nuances":[39],"data.":[43],"A":[44],"pervasive":[45],"oversight":[46],"is":[47],"neglect":[49],"crucial":[52],"relationship":[53,72],"between":[54],"field":[55,63,127],"names":[56,128],"(labels":[57],"or":[58],"identifiers)":[59],"their":[61],"corresponding":[62],"values":[64,130],"within":[65],"data":[68,206],"structures.":[69],"Disregarding":[70],"this":[71],"leads":[73],"issues":[75],"such":[76],"as":[77],"loss":[78],"context,":[80],"incomplete":[81],"feature":[82,86],"representation,":[83],"difficulty":[84],"in":[85,168,192],"engineering,":[87],"lack":[89],"domain":[91],"knowledge":[92,223],"integration.":[93],"To":[94],"address":[95],"these":[96,146],"limitations,":[97],"we":[98],"propose":[99],"novel":[101],"approach":[102,214],"transforms":[104],"metadata":[107,142],"into":[108,131,208],"semantic-enriched":[109],"contextualized":[111],"text":[112],"representations":[113,149],"tailored":[114],"for":[115],"context":[117],"posts.":[121],"This":[122],"semantic":[123,148,205],"enrichment":[124],"process":[125],"expands":[126],"coherent":[132],"textual":[133],"descriptions,":[134],"effectively":[135],"conveying":[136],"implicit":[137],"meanings":[138],"linking":[140],"disparate":[141],"elements.":[143],"We":[144],"leverage":[145],"enriched":[147],"adapt":[151],"large":[152],"pre-trained":[153,227],"language":[154,164],"models":[155,165],"using":[156],"Low-Rank":[157],"Adaptation":[158],"(LoRA).":[159],"By":[160],"integrating":[161],"LoRA,":[162],"gain":[166],"proficiency":[167],"interpreting":[169],"from":[172],"transformed":[174],"semantic-rich":[175],"text,":[178],"facilitating":[179],"deeper":[181],"understanding":[182],"compared":[183],"conventional":[185],"metadata-based":[186],"Our":[188],"principal":[189],"innovation":[190],"lies":[191],"substantially":[193],"elevating":[194],"precision":[196],"predictions":[201],"by":[202],"incorporating":[203],"comprehensive":[204],"descriptions":[207],"modeling":[210],"process.":[211],"The":[212],"LoRA-based":[213],"enables":[215],"efficient":[216],"task-specific":[217],"optimization":[218],"while":[219],"preserving":[220],"extensive":[222],"base":[224],"models.":[228],"Extensive":[229],"experiments":[230],"SMPD":[233],"dataset":[234],"demonstrate":[235],"state-of-the-art":[236],"performance,":[237],"validating":[238],"our":[239],"method\u2019s":[240],"theoretical":[241],"novelty":[242],"practical":[244],"effectiveness.":[245]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}