{"id":"https://openalex.org/W2535287707","doi":"https://doi.org/10.1145/2983323.2983697","title":"Leveraging the Implicit Structure within Social Media for Emergent Rumor Detection","display_name":"Leveraging the Implicit Structure within Social Media for Emergent Rumor Detection","publication_year":2016,"publication_date":"2016-10-24","ids":{"openalex":"https://openalex.org/W2535287707","doi":"https://doi.org/10.1145/2983323.2983697","mag":"2535287707"},"language":"en","primary_location":{"id":"doi:10.1145/2983323.2983697","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2983323.2983697","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/2983323.2983697?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM International on Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/2983323.2983697?download=true","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078998971","display_name":"Justin Sampson","orcid":null},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Justin Sampson","raw_affiliation_strings":["Arizona State University, Tempe, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002709735","display_name":"Fred Morstatter","orcid":"https://orcid.org/0000-0002-0247-4328"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fred Morstatter","raw_affiliation_strings":["Arizona State University, Tempe, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101525811","display_name":"Liang Wu","orcid":"https://orcid.org/0000-0002-2336-7695"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liang Wu","raw_affiliation_strings":["Arizona State University, Tempe, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100338946","display_name":"Huan Liu","orcid":"https://orcid.org/0000-0002-3264-7904"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huan Liu","raw_affiliation_strings":["Arizona State University, Tempe, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe, USA","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":102,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2377","last_page":"2382"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","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/T11147","display_name":"Misinformation and Its Impacts","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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9973000288009644,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.989300012588501,"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/rumor","display_name":"Rumor","score":0.964806318283081},{"id":"https://openalex.org/keywords/conversation","display_name":"Conversation","score":0.937406063079834},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.752819836139679},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6863002777099609},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5205429792404175},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4570181667804718},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3767877221107483},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3217492401599884},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.17729198932647705},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.13577523827552795},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.0969470739364624}],"concepts":[{"id":"https://openalex.org/C2780469804","wikidata":"https://www.wikidata.org/wiki/Q878352","display_name":"Rumor","level":2,"score":0.964806318283081},{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.937406063079834},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.752819836139679},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6863002777099609},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5205429792404175},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4570181667804718},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3767877221107483},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3217492401599884},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.17729198932647705},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.13577523827552795},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.0969470739364624},{"id":"https://openalex.org/C39549134","wikidata":"https://www.wikidata.org/wiki/Q133080","display_name":"Public relations","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2983323.2983697","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2983323.2983697","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/2983323.2983697?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM International on Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/2983323.2983697","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2983323.2983697","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/2983323.2983697?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM International on Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3450788014","display_name":null,"funder_award_id":"N00014-16-1-225","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G7349680599","display_name":null,"funder_award_id":"N00014-16-1-2257","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G8876996369","display_name":null,"funder_award_id":"N00014","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"}],"funders":[{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2535287707.pdf","grobid_xml":"https://content.openalex.org/works/W2535287707.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1506157784","https://openalex.org/W1526711923","https://openalex.org/W1546111015","https://openalex.org/W1554540371","https://openalex.org/W1638051351","https://openalex.org/W1971494700","https://openalex.org/W1973668723","https://openalex.org/W1975594555","https://openalex.org/W1985404222","https://openalex.org/W2030539428","https://openalex.org/W2051405935","https://openalex.org/W2057026632","https://openalex.org/W2084591134","https://openalex.org/W2086627840","https://openalex.org/W2100974526","https://openalex.org/W2142869398","https://openalex.org/W2159981908","https://openalex.org/W2164082612","https://openalex.org/W2167024389","https://openalex.org/W2293476329","https://openalex.org/W2295785353"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W3117488785","https://openalex.org/W2535287707","https://openalex.org/W4225148309","https://openalex.org/W1975594555","https://openalex.org/W2496949096","https://openalex.org/W2961085424","https://openalex.org/W3174211216","https://openalex.org/W2014794499","https://openalex.org/W2159981908"],"abstract_inverted_index":{"The":[0],"automatic":[1],"and":[2,72],"early":[3,29],"detection":[4,68,167],"of":[5,8,14,90,124,176,195,209],"rumors":[6],"is":[7,160],"paramount":[9],"importance":[10],"as":[11,113,115,183,185],"the":[12,47,58,122,148,193,207],"spread":[13],"information":[15],"with":[16,182],"questionable":[17],"veracity":[18],"can":[19,141],"have":[20,86],"devastating":[21],"consequences.":[22],"This":[23,50,189],"became":[24],"starkly":[25],"apparent":[26],"when,":[27],"in":[28,53,66,92,199],"2013,":[30],"a":[31,37,54,83,87,104,173,186],"compromised":[32],"Associated":[33],"Press":[34],"account":[35],"issued":[36],"tweet":[38,51],"claiming":[39],"that":[40,135],"there":[41],"had":[42],"been":[43],"an":[44],"explosion":[45],"at":[46],"White":[48],"House.":[49],"resulted":[52],"significant":[55,88],"drop":[56],"for":[57,97,106,213],"Dow":[59],"Jones":[60],"Industrial":[61],"Average.":[62],"Most":[63],"existing":[64],"work":[65],"rumor":[67,138,166,201],"leverages":[69],"conversation":[70,84,128,158,196],"statistics":[71],"propagation":[73],"patterns,":[74],"however,":[75],"such":[76],"patterns":[77],"tend":[78],"to":[79,85,94,145,150,169,171],"emerge":[80],"slowly":[81],"requiring":[82],"number":[89,208],"interactions":[91],"order":[93],"become":[95],"eligible":[96],"classification.":[98,214],"In":[99,130],"this":[100,163],"work,":[101],"we":[102,133],"propose":[103],"method":[105],"classifying":[107],"conversations":[108,120,154,181,210],"within":[109,118],"their":[110],"formative":[111],"stages":[112],"well":[114],"improving":[116],"accuracy":[117,178],"mature":[119],"through":[121],"discovery":[123],"implicit":[125,143],"linkages":[126],"between":[127],"fragments.":[129],"our":[131],"experiments,":[132],"show":[134],"current":[136,200],"state-of-the-art":[137],"classification":[139,177,202],"methods":[140,168,203],"leverage":[142],"links":[144],"significantly":[146,205],"improve":[147],"ability":[149],"properly":[151],"classify":[152],"emergent":[153,180],"when":[155],"very":[156],"little":[157],"data":[159],"available.":[161],"Adopting":[162],"technique":[164],"allows":[165],"continue":[170],"provide":[172],"high":[174],"degree":[175],"on":[179],"few":[184],"single":[187],"tweet.":[188],"improvement":[190],"virtually":[191],"eliminates":[192],"delay":[194],"growth":[197],"inherent":[198],"while":[204],"increasing":[206],"considered":[211],"viable":[212]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":22},{"year":2019,"cited_by_count":17},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":6}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}