{"id":"https://openalex.org/W7129037678","doi":"https://doi.org/10.1145/3773966.3777919","title":"Label-Free Contrastive Learning for Open-World Multimodal Social Event Detection","display_name":"Label-Free Contrastive Learning for Open-World Multimodal Social Event Detection","publication_year":2026,"publication_date":"2026-02-16","ids":{"openalex":"https://openalex.org/W7129037678","doi":"https://doi.org/10.1145/3773966.3777919"},"language":null,"primary_location":{"id":"doi:10.1145/3773966.3777919","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3773966.3777919","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3773966.3777919","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080347471","display_name":"Zhiwei Yang","orcid":"https://orcid.org/0000-0003-1306-3150"},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhiwei Yang","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China and School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China and School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111299523","display_name":"Haimei Qin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haimei Qin","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China and School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China and School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124693023","display_name":"Hao Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Peng","raw_affiliation_strings":["Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126107530","display_name":"Xiaoyan Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyan Yu","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100318682","display_name":"Li Sun","orcid":"https://orcid.org/0000-0002-9471-0235"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Sun","raw_affiliation_strings":["North China Electric Power University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5126166333","display_name":"Lei Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Jiang","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China and School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China and School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5080347471"],"corresponding_institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.86166335,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"818","last_page":"827"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.19009999930858612,"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"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.19009999930858612,"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"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.14959999918937683,"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":0.1386999934911728,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.7497000098228455},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5764999985694885},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5267000198364258},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4447999894618988},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.421999990940094},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.38440001010894775},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.3400999903678894},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.3384999930858612}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7807999849319458},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.7497000098228455},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6589000225067139},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5764999985694885},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5267000198364258},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47870001196861267},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4447999894618988},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4302999973297119},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.421999990940094},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.38440001010894775},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.3400999903678894},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.3384999930858612},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.31619998812675476},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.29919999837875366},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.288100004196167},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.28349998593330383},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.27630001306533813},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2556000053882599},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2531000077724457},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.25060001015663147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3773966.3777919","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3773966.3777919","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3773966.3777919","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3773966.3777919","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6015684008598328}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1581244792","https://openalex.org/W2072117168","https://openalex.org/W2338678442","https://openalex.org/W2970641574","https://openalex.org/W2983366375","https://openalex.org/W3008585262","https://openalex.org/W3035207996","https://openalex.org/W3171007011","https://openalex.org/W4210334699","https://openalex.org/W4242510480","https://openalex.org/W4285092802","https://openalex.org/W4389158510","https://openalex.org/W4392265714","https://openalex.org/W4404197966"],"related_works":[],"abstract_inverted_index":{"Multimodal":[0,24,122],"content":[1],"on":[2,39,74,142,240],"social":[3,21,47,69,242],"media":[4,48,243],"contains":[5],"abundant":[6],"cues":[7],"about":[8],"real-world":[9],"events,":[10],"and":[11,20,173,191,228],"its":[12],"automatic":[13],"detection":[14,90,231],"is":[15,103,218],"critical":[16],"for":[17,59,121,207],"public":[18],"safety":[19],"governance.":[22],"However,":[23],"Social":[25,123],"Event":[26,124],"Detection":[27],"in":[28,50,94,235,253],"the":[29,65,79,89,95,98,128,196,204,208,223,230,236],"open":[30,96],"world":[31],"faces":[32],"two":[33],"major":[34],"challenges:":[35],"(1)":[36],"They":[37,72],"depend":[38],"supervised":[40],"event":[41,169,171,226],"labels":[42],"or":[43],"structured":[44],"information;":[45],"however,":[46],"data":[49],"open-world":[51],"settings":[52],"often":[53],"lack":[54],"both,":[55],"making":[56],"it":[57,160],"challenging":[58],"such":[60],"methods":[61],"to":[62,64,106,177],"adapt":[63],"dynamic":[66],"nature":[67],"of":[68,82,101,225,232],"media.":[70],"(2)":[71],"rely":[73],"predefined":[75],"label":[76],"sets,":[77],"i.e.,":[78],"total":[80,99],"number":[81,100,224],"events":[83,102,234],"must":[84],"generally":[85],"be":[86],"specified":[87],"during":[88],"process.":[91],"In":[92],"contrast,":[93],"world,":[97],"inherently":[104],"difficult":[105],"estimate.":[107],"To":[108,126,194],"tackle":[109],"these":[110],"challenges,":[111],"this":[112],"paper":[113],"proposes":[114],"LFEvent,":[115],"a":[116,133,148,183],"label-free":[117,134],"contrastive":[118,136],"learning":[119,137],"framework":[120],"Detection.":[125],"address":[127,195],"first":[129,209],"challenge,":[130,198],"we":[131,146,199],"design":[132,147],"multimodal":[135,149],"strategy":[138],"that":[139,246],"relies":[140],"solely":[141],"positive":[143,180],"samples.":[144,181],"Specifically,":[145],"large":[150],"language":[151],"model-based":[152],"semantic":[153],"enhancement":[154],"strategy.":[155],"Leveraging":[156],"carefully":[157],"crafted":[158],"prompts,":[159],"enriches":[161],"raw":[162],"image-text":[163],"pairs":[164],"across":[165],"three":[166],"dimensions":[167],"--":[168,176],"theme,":[170],"type,":[172],"image":[174],"description":[175],"construct":[178],"robust":[179],"Subsequently,":[182],"dedicated":[184],"Siamese":[185],"Network":[186],"enables":[187,229],"self-supervised":[188],"cross-modal":[189],"alignment":[190],"representation":[192],"learning.":[193],"second":[197],"introduce":[200],"unsupervised":[201],"clustering":[202,216],"into":[203],"MSED":[205],"task":[206],"time.":[210],"A":[211],"novel":[212],"structure":[213],"entropy-guided":[214],"hierarchical":[215],"method":[217],"proposed,":[219],"which":[220],"automatically":[221],"determines":[222],"clusters":[227],"unseen":[233,256],"training":[237],"set.":[238],"Experiments":[239],"multiple":[241],"datasets":[244],"demonstrate":[245],"LFEvent":[247],"significantly":[248],"outperforms":[249],"existing":[250],"methods,":[251],"especially":[252],"detecting":[254],"previously":[255],"events.":[257]},"counts_by_year":[],"updated_date":"2026-02-23T20:09:44.859080","created_date":"2026-02-17T00:00:00"}
