{"id":"https://openalex.org/W3040687551","doi":"https://doi.org/10.1145/3399871.3399890","title":"Call Attention to Stances","display_name":"Call Attention to Stances","publication_year":2020,"publication_date":"2020-05-13","ids":{"openalex":"https://openalex.org/W3040687551","doi":"https://doi.org/10.1145/3399871.3399890","mag":"3040687551"},"language":"en","primary_location":{"id":"doi:10.1145/3399871.3399890","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3399871.3399890","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 Asia Service Sciences and Software Engineering Conference","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/A5032917971","display_name":"Zeng Lingyu","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zeng Lingyu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043114890","display_name":"Bin Wu","orcid":"https://orcid.org/0000-0001-5787-9536"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wu Bin","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100967186","display_name":"Wang Bai","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang Bai","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5032917971"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.3488,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.72390499,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"27","last_page":"34"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9898999929428101,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9731000065803528,"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/rumor","display_name":"Rumor","score":0.9662741422653198},{"id":"https://openalex.org/keywords/microblogging","display_name":"Microblogging","score":0.9482447504997253},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8120154142379761},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.7518094182014465},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6891685724258423},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4874992370605469},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.42768383026123047},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3771330714225769},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.36351627111434937},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.35146063566207886},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3019251823425293}],"concepts":[{"id":"https://openalex.org/C2780469804","wikidata":"https://www.wikidata.org/wiki/Q878352","display_name":"Rumor","level":2,"score":0.9662741422653198},{"id":"https://openalex.org/C143275388","wikidata":"https://www.wikidata.org/wiki/Q92438","display_name":"Microblogging","level":3,"score":0.9482447504997253},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8120154142379761},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.7518094182014465},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6891685724258423},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4874992370605469},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.42768383026123047},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3771330714225769},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.36351627111434937},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.35146063566207886},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3019251823425293},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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:10.1145/3399871.3399890","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3399871.3399890","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 Asia Service Sciences and Software Engineering Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W66373487","https://openalex.org/W113522833","https://openalex.org/W2032897813","https://openalex.org/W2741930413","https://openalex.org/W2752262499","https://openalex.org/W2753727548","https://openalex.org/W2798787718","https://openalex.org/W2798966390","https://openalex.org/W2911840101","https://openalex.org/W2962707223","https://openalex.org/W2962965405","https://openalex.org/W2992545496","https://openalex.org/W4244195804","https://openalex.org/W4256361765"],"related_works":["https://openalex.org/W2372853429","https://openalex.org/W2793319716","https://openalex.org/W3110636174","https://openalex.org/W4210503589","https://openalex.org/W2014794499","https://openalex.org/W2353483694","https://openalex.org/W2001642679","https://openalex.org/W2807186976","https://openalex.org/W3167322753","https://openalex.org/W1862057174"],"abstract_inverted_index":{"With":[0],"the":[1,19,26,41,148,155,169,216,233],"advent":[2],"of":[3,21,100,175,218,223,235],"web2.0":[4],"era,":[5],"social":[6],"media":[7],"such":[8],"as":[9],"microblogging":[10,24,30,177],"platforms":[11],"have":[12,33,75],"become":[13],"important":[14],"information":[15,133,151],"distribution":[16],"channels.":[17],"Considering":[18],"amount":[20],"users":[22,60,137],"on":[23,29,37,202],"platforms,":[25],"rumor":[27,46,57,105,165,193,219],"spreading":[28],"platform":[31,208],"could":[32],"a":[34,54,87,92,114,164,176,203],"negative":[35],"effect":[36],"individuals,":[38],"groups":[39],"and":[40,68,107,122,131,172,192,226,232],"whole":[42],"society.":[43],"Hence,":[44],"automatic":[45],"detection":[47,220],"method":[48],"is":[49,113,142,152,163,184],"required.":[50],"Stance":[51,93],"features":[52,171,174],"are":[53,126,179,195],"crucial":[55],"for":[56],"detection,":[58],"because":[59],"discussing":[61],"rumors":[62],"tend":[63],"to":[64,128,144,198,229],"express":[65],"more":[66],"querying":[67],"denying":[69],"stances.":[70],"However,":[71],"different":[72,76],"user":[73],"stances":[74],"importance.":[77],"Motivated":[78],"by":[79,135],"this":[80,83],"inspiration,":[81],"in":[82,117,154,167,188,221],"paper,":[84],"we":[85],"propose":[86],"Rumor":[88],"Detection":[89],"Model":[90],"with":[91],"Attention":[94],"Network":[95],"(RDM-SAN).":[96],"The":[97,110,160,181],"RDM-SAN":[98,214],"consists":[99],"three":[101],"modules:":[102],"stance":[103,115,157,190],"module,":[104,116],"module":[106,112,162,166,183,187],"integrate":[108,186],"module.":[109],"first":[111],"which":[118,168,189],"recurrent":[119],"neural":[120,124],"network":[121,125],"convolutional":[123],"used":[127],"capture":[129],"grammatical":[130],"event-related":[132],"released":[134],"individual":[136],"respectively.":[138],"Then":[139],"attention":[140],"mechanism":[141],"leveraged":[143],"make":[145],"sure":[146],"that":[147,210],"most":[149],"valuable":[150],"contained":[153],"event":[156,178],"latent":[158],"representation.":[159],"second":[161],"content":[170],"temporal":[173],"captured.":[180],"third":[182],"an":[185],"representations":[191,194],"concatenated":[196],"together":[197],"detect":[199],"rumors.":[200],"Experiments":[201],"real-world":[204],"dataset":[205],"from":[206],"Weibo":[207],"demonstrate":[209],"our":[211,236],"proposed":[212],"model":[213,237],"improves":[215],"performance":[217],"terms":[222],"both":[224],"efficiency":[225],"accuracy":[227,234],"compared":[228],"other":[230],"methods,":[231],"achieves":[238],"94.6%.":[239]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}