{"id":"https://openalex.org/W3215124846","doi":"https://doi.org/10.1109/isi53945.2021.9624679","title":"Credible Influence Analysis in Mass Media Using Causal Inference","display_name":"Credible Influence Analysis in Mass Media Using Causal Inference","publication_year":2021,"publication_date":"2021-11-02","ids":{"openalex":"https://openalex.org/W3215124846","doi":"https://doi.org/10.1109/isi53945.2021.9624679","mag":"3215124846"},"language":"en","primary_location":{"id":"doi:10.1109/isi53945.2021.9624679","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isi53945.2021.9624679","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Intelligence and Security Informatics (ISI)","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/A5104012746","display_name":"Zizhen Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"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":"Zizhen Deng","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044689658","display_name":"Xiaolong Zheng","orcid":"https://orcid.org/0000-0003-0405-5458"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"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"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolong Zheng","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005121478","display_name":"Zifan Ye","orcid":"https://orcid.org/0009-0008-0131-2256"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zifan Ye","raw_affiliation_strings":["China Agriculture University, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"China Agriculture University, Beijing 100083, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100459777","display_name":"Zhen Cai","orcid":"https://orcid.org/0000-0001-6026-3804"},"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":"Zhen Cai","raw_affiliation_strings":["North China Electric Power University, Baoding 071000, China"],"affiliations":[{"raw_affiliation_string":"North China Electric Power University, Baoding 071000, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038521974","display_name":"Daniel Zeng","orcid":"https://orcid.org/0000-0002-9046-222X"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"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":"Daniel Dajun Zeng","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5104012746"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":1.3503,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.89131209,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.9883999824523926,"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"}},"topics":[{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.9883999824523926,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9860000014305115,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9793999791145325,"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/causal-inference","display_name":"Causal inference","score":0.7534027099609375},{"id":"https://openalex.org/keywords/mass-media","display_name":"Mass media","score":0.7431463003158569},{"id":"https://openalex.org/keywords/publicity","display_name":"Publicity","score":0.7376930713653564},{"id":"https://openalex.org/keywords/causal-analysis","display_name":"Causal analysis","score":0.6471697688102722},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.626611590385437},{"id":"https://openalex.org/keywords/causality","display_name":"Causality (physics)","score":0.6129419803619385},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5794206261634827},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5231976509094238},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.4974839985370636},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.37025076150894165},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.36189666390419006},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22967791557312012},{"id":"https://openalex.org/keywords/advertising","display_name":"Advertising","score":0.22097256779670715},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14764851331710815},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.12728679180145264},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.07762345671653748}],"concepts":[{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.7534027099609375},{"id":"https://openalex.org/C558299567","wikidata":"https://www.wikidata.org/wiki/Q11033","display_name":"Mass media","level":2,"score":0.7431463003158569},{"id":"https://openalex.org/C2776003135","wikidata":"https://www.wikidata.org/wiki/Q1333727","display_name":"Publicity","level":2,"score":0.7376930713653564},{"id":"https://openalex.org/C2987525970","wikidata":"https://www.wikidata.org/wiki/Q96374569","display_name":"Causal analysis","level":2,"score":0.6471697688102722},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.626611590385437},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.6129419803619385},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5794206261634827},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5231976509094238},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.4974839985370636},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.37025076150894165},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.36189666390419006},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22967791557312012},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.22097256779670715},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14764851331710815},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.12728679180145264},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.07762345671653748},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isi53945.2021.9624679","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isi53945.2021.9624679","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Intelligence and Security Informatics (ISI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309618","display_name":"Ministry of Science and Technology","ror":"https://ror.org/02b207r52"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1204587089","https://openalex.org/W1578152639","https://openalex.org/W1607114662","https://openalex.org/W1965032599","https://openalex.org/W1967570846","https://openalex.org/W1971937094","https://openalex.org/W1984669314","https://openalex.org/W1998367480","https://openalex.org/W2029148261","https://openalex.org/W2056944867","https://openalex.org/W2060719539","https://openalex.org/W2063774819","https://openalex.org/W2069919250","https://openalex.org/W2083278075","https://openalex.org/W2083392533","https://openalex.org/W2090824512","https://openalex.org/W2107559689","https://openalex.org/W2140540364","https://openalex.org/W2212033191","https://openalex.org/W2347112004","https://openalex.org/W2797963409","https://openalex.org/W2963132916","https://openalex.org/W3102421639","https://openalex.org/W3146043391","https://openalex.org/W4293581657","https://openalex.org/W4298053629","https://openalex.org/W6657788590","https://openalex.org/W6738346076","https://openalex.org/W6743245982"],"related_works":["https://openalex.org/W2383078158","https://openalex.org/W1547624382","https://openalex.org/W2574301230","https://openalex.org/W4320159092","https://openalex.org/W4313422683","https://openalex.org/W344802256","https://openalex.org/W4210420802","https://openalex.org/W4200117489","https://openalex.org/W4239838501","https://openalex.org/W34487604"],"abstract_inverted_index":{"The":[0],"mass":[1,45,75,112,148],"media":[2,67],"has":[3],"recorded":[4],"major":[5],"events":[6],"around":[7],"the":[8,20,30,40,47,56,79,82,90,99,122,130,134,137,142],"world":[9],"for":[10],"a":[11,106],"long":[12],"time,":[13],"which":[14],"is":[15],"very":[16],"helpful":[17],"in":[18,23,111,147],"describing":[19],"dynamic":[21],"changes":[22],"all":[24],"aspects":[25],"of":[26,32,44,49,86,141],"human":[27],"society,":[28],"including":[29],"analysis":[31,51,60,103,109,146],"national":[33],"influence":[34,50,59,102,108,145],"using":[35],"news":[36],"data.":[37],"Due":[38,77],"to":[39,74,78],"publicity":[41],"and":[42,69,133,139],"significance":[43],"media,":[46],"results":[48,123,135],"must":[52],"be":[53,72],"reliable.":[54],"However,":[55],"current":[57],"most":[58],"methods":[61],"are":[62],"mainly":[63],"concentrated":[64],"on":[65,129],"social":[66],"networks":[68],"cannot":[70],"simply":[71],"transferred":[73],"media.":[76,113,149],"causality":[80],"as":[81],"main":[83],"driving":[84],"factor":[85],"influence,":[87],"we":[88],"introduced":[89],"causal":[91],"inference":[92],"method":[93,110,115],"convergent":[94],"cross":[95],"mapping,":[96],"combined":[97],"with":[98],"existing":[100],"general":[101],"method,":[104],"proposed":[105,143],"credible":[107,144],"This":[114],"can":[116],"filter":[117],"out":[118],"non-causal":[119],"influences,":[120],"making":[121],"more":[124],"credible.":[125],"We":[126],"conducted":[127],"experiments":[128],"GDELT":[131],"datasets,":[132],"proved":[136],"effectiveness":[138],"reliability":[140]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}