{"id":"https://openalex.org/W7204226574","doi":"https://doi.org/10.1371/journal.pone.0356612","title":"Predicting social media post popularity using multimodal deep learning: Insights from content features","display_name":"Predicting social media post popularity using multimodal deep learning: Insights from content features","publication_year":2026,"publication_date":"2026-08-26","ids":{"openalex":"https://openalex.org/W7204226574","doi":"https://doi.org/10.1371/journal.pone.0356612","pmid":"https://pubmed.ncbi.nlm.nih.gov/42647549"},"language":"en","primary_location":{"id":"doi:10.1371/journal.pone.0356612","doi":"https://doi.org/10.1371/journal.pone.0356612","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pone.0356612","pdf_url":"https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0356612&type=printable","source":{"id":"https://openalex.org/S202381698","display_name":"PLoS ONE","issn_l":"1932-6203","issn":["1932-6203"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","doyens","erih-plus","jufo-1","ki-jl-1","medline","norway-1"],"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS One","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0356612&type=printable","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5122291198","display_name":"Yi Wang","orcid":"https://orcid.org/0000-0001-5742-3029","observed_orcids":["https://orcid.org/0000-0001-5742-3029"]},"institutions":[{"id":"https://openalex.org/I137867983","display_name":"Central University of Finance and Economics","ror":"https://ror.org/008e3hf02","country_code":"CN","type":"education","lineage":["https://openalex.org/I137867983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Wang","raw_affiliation_strings":["School of Business, Central University of Finance and Economics, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Business, Central University of Finance and Economics, Beijing, China","institution_ids":["https://openalex.org/I137867983"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5135003085","display_name":"Aoyu Zeng","orcid":"https://orcid.org/0009-0006-2234-9272","observed_orcids":["https://orcid.org/0009-0006-2234-9272"]},"institutions":[{"id":"https://openalex.org/I137867983","display_name":"Central University of Finance and Economics","ror":"https://ror.org/008e3hf02","country_code":"CN","type":"education","lineage":["https://openalex.org/I137867983"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Aoyu Zeng","raw_affiliation_strings":["School of Business, Central University of Finance and Economics, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0006-2234-9272","affiliations":[{"raw_affiliation_string":"School of Business, Central University of Finance and Economics, Beijing, China","institution_ids":["https://openalex.org/I137867983"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5135003085"],"corresponding_institution_ids":["https://openalex.org/I137867983"],"apc_list":{"value":2382,"currency":"USD","value_usd":2382},"apc_paid":{"value":2382,"currency":"USD","value_usd":2382},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.70746911,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"21","issue":"8","first_page":"e0356612","last_page":"e0356612"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10609","display_name":"Digital Marketing and Social Media","score":0.9624000191688538,"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":0.9624000191688538,"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.004600000102072954,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.0035000001080334187,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/user-engagement-prediction","display_name":"user engagement prediction","score":0.7409999966621399},{"id":"https://openalex.org/keywords/visual-features","display_name":"visual features","score":0.8370000123977661},{"id":"https://openalex.org/keywords/textual-features","display_name":"text features","score":0.9580000042915344},{"id":"https://openalex.org/keywords/diffusion-of-innovations","display_name":"diffusion of innovations","score":0.9369999766349792},{"id":"https://openalex.org/keywords/content-dissemination","display_name":"content dissemination","score":0.8330000042915344},{"id":"https://openalex.org/keywords/social-media-marketing","display_name":"social media marketing","score":0.7080000042915344},{"id":"https://openalex.org/keywords/content-optimization","display_name":"content optimization","score":0.625}],"concepts":[{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.9747999906539917},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.7376000285148621},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6942999958992004},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.6445000171661377},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.489300012588501},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4706000089645386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4345000088214874},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3935999870300293},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.38350000977516174},{"id":"https://openalex.org/C162446236","wikidata":"https://www.wikidata.org/wiki/Q653137","display_name":"Content analysis","level":2,"score":0.3749000132083893},{"id":"https://openalex.org/C3020234875","wikidata":"https://www.wikidata.org/wiki/Q1260632","display_name":"Media content","level":2,"score":0.37380000948905945},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3610999882221222},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.36039999127388},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.34619998931884766},{"id":"https://openalex.org/C2984870255","wikidata":"https://www.wikidata.org/wiki/Q5196451","display_name":"User engagement","level":2,"score":0.3409000039100647},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.3353999853134155},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3271999955177307},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32339999079704285},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.30889999866485596},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.30709999799728394},{"id":"https://openalex.org/C101293273","wikidata":"https://www.wikidata.org/wiki/Q579716","display_name":"User-generated content","level":3,"score":0.305400013923645},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.28780001401901245},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.27230000495910645},{"id":"https://openalex.org/C156325361","wikidata":"https://www.wikidata.org/wiki/Q1152864","display_name":"Grounded theory","level":3,"score":0.26080000400543213},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.25440001487731934}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000098412","descriptor_name":"Predictive Learning Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000098412","descriptor_name":"Predictive Learning Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000098437","descriptor_name":"Prediction Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000098437","descriptor_name":"Prediction Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D061108","descriptor_name":"Social Media","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D061108","descriptor_name":"Social Media","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1371/journal.pone.0356612","doi":"https://doi.org/10.1371/journal.pone.0356612","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pone.0356612","pdf_url":"https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0356612&type=printable","source":{"id":"https://openalex.org/S202381698","display_name":"PLoS ONE","issn_l":"1932-6203","issn":["1932-6203"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","doyens","erih-plus","jufo-1","ki-jl-1","medline","norway-1"],"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS One","raw_type":"journal-article"},{"id":"pmid:42647549","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/42647549","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PloS one","raw_type":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:13513989","doi":null,"is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13513989/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS One","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1371/journal.pone.0356612","doi":"https://doi.org/10.1371/journal.pone.0356612","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pone.0356612","pdf_url":"https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0356612&type=printable","source":{"id":"https://openalex.org/S202381698","display_name":"PLoS ONE","issn_l":"1932-6203","issn":["1932-6203"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","doyens","erih-plus","jufo-1","ki-jl-1","medline","norway-1"],"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS One","raw_type":"journal-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321599","display_name":"Central University of Finance and Economics","ror":"https://ror.org/008e3hf02"},{"id":"https://openalex.org/F4320327557","display_name":"National Office for Philosophy and Social Sciences","ror":"https://ror.org/04m0ms912"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7204226574.pdf","grobid_xml":"https://content.openalex.org/works/W7204226574.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W1460922575","https://openalex.org/W1923251975","https://openalex.org/W1975227708","https://openalex.org/W2003856922","https://openalex.org/W2025481627","https://openalex.org/W2063139645","https://openalex.org/W2114544578","https://openalex.org/W2134056277","https://openalex.org/W2151823074","https://openalex.org/W2154204897","https://openalex.org/W2163303688","https://openalex.org/W2163822384","https://openalex.org/W2164901293","https://openalex.org/W2292338153","https://openalex.org/W2299668254","https://openalex.org/W2416572746","https://openalex.org/W2551836619","https://openalex.org/W2613246740","https://openalex.org/W2725420759","https://openalex.org/W2754975683","https://openalex.org/W2796511006","https://openalex.org/W2799107488","https://openalex.org/W2952063691","https://openalex.org/W2964135759","https://openalex.org/W2984184072","https://openalex.org/W2989372778","https://openalex.org/W3001413431","https://openalex.org/W3020202683","https://openalex.org/W3025390195","https://openalex.org/W3093376271","https://openalex.org/W3121315632","https://openalex.org/W3122522978","https://openalex.org/W3123091093","https://openalex.org/W3125781831","https://openalex.org/W3159001228","https://openalex.org/W3169833055","https://openalex.org/W3198767726","https://openalex.org/W4280513939","https://openalex.org/W4285726058","https://openalex.org/W4319308497","https://openalex.org/W4410564720"],"related_works":[],"abstract_inverted_index":{"This":[0],"study":[1],"predicts":[2],"social":[3,27,53],"media":[4,28,54],"post":[5,38,107],"popularity":[6,39,69,73,108,157],"by":[7,21,109],"examining":[8],"the":[9,41,98,104],"associations":[10],"between":[11],"multimodal,":[12],"unstructured":[13],"content":[14,29,142,166],"features":[15,50],"and":[16,20,40,48,61,70,82,90,126,161,170,173],"observed":[17],"engagement":[18,124],"outcomes":[19,125],"developing":[22],"scalable,":[23],"data-driven":[24,180],"tools":[25,147],"for":[26,148],"assessment.":[30],"Grounded":[31],"in":[32],"Diffusion":[33],"of":[34,43,106],"Innovations,":[35],"we":[36],"conceptualize":[37],"mechanisms":[42],"user":[44],"engagement,":[45],"extract":[46],"visual":[47,81],"textual":[49,83],"from":[51,177],"real-world":[52],"data,":[55],"validate":[56],"their":[57],"relationships":[58],"with":[59,88,133],"popularity,":[60,89],"build":[62],"two":[63],"deep":[64,134],"learning":[65],"models-one":[66],"estimating":[67],"numerical":[68],"one":[71],"predicting":[72],"levels.":[74],"Results":[75],"show":[76],"that":[77,115],"multimodal":[78,129],"features,":[79],"including":[80],"attributes,":[84],"are":[85],"significantly":[86],"associated":[87],"both":[91,159],"models":[92],"demonstrate":[93,127],"useful":[94],"predictive":[95],"performance":[96],"within":[97],"evaluated":[99],"data":[100],"setting.":[101],"We":[102],"extend":[103],"concept":[105],"proposing":[110],"a":[111],"staged":[112],"classification":[113],"framework":[114],"groups":[116],"posts":[117],"into":[118,141],"four":[119],"levels":[120],"based":[121],"on":[122],"aggregated":[123],"how":[128],"feature":[130],"analysis":[131],"coupled":[132],"learning-based":[135],"prediction":[136],"offers":[137],"new":[138],"theoretical":[139],"insight":[140],"dissemination":[143],"while":[144],"yielding":[145],"scalable":[146],"optimization.":[149],"Practically,":[150],"our":[151],"approach":[152],"enables":[153],"marketers":[154],"to":[155,179],"assess":[156],"at":[158],"quantitative":[160],"categorical":[162],"levels,":[163],"supporting":[164],"informed":[165],"planning,":[167],"targeted":[168],"promotion,":[169],"resource":[171],"allocation,":[172],"helping":[174],"brands":[175],"move":[176],"intuition-driven":[178],"strategies.":[181]},"counts_by_year":[],"updated_date":"2026-09-24T07:57:37.273135","created_date":"2026-08-27T00:00:00"}
