{"id":"https://openalex.org/W2611831068","doi":"https://doi.org/10.1145/3017611.3017614","title":"Emergency online attention and psychological distance under risk","display_name":"Emergency online attention and psychological distance under risk","publication_year":2016,"publication_date":"2016-10-31","ids":{"openalex":"https://openalex.org/W2611831068","doi":"https://doi.org/10.1145/3017611.3017614","mag":"2611831068"},"language":"en","primary_location":{"id":"doi:10.1145/3017611.3017614","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3017611.3017614","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Second ACM SIGSPATIALInternational Workshop on the Use of GIS in Emergency Management","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/A5072335941","display_name":"Qing Deng","orcid":"https://orcid.org/0000-0001-5116-461X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qing Deng","raw_affiliation_strings":["Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083825401","display_name":"Yong Liu","orcid":"https://orcid.org/0000-0003-1769-9789"},"institutions":[{"id":"https://openalex.org/I37448385","display_name":"China People's Public Security University","ror":"https://ror.org/05twya590","country_code":"CN","type":"education","lineage":["https://openalex.org/I37448385"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Liu","raw_affiliation_strings":["People's Public Security University of China"],"affiliations":[{"raw_affiliation_string":"People's Public Security University of China","institution_ids":["https://openalex.org/I37448385"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100440641","display_name":"Lihua Li","orcid":"https://orcid.org/0000-0001-5982-8441"},"institutions":[{"id":"https://openalex.org/I37448385","display_name":"China People's Public Security University","ror":"https://ror.org/05twya590","country_code":"CN","type":"education","lineage":["https://openalex.org/I37448385"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lihua Li","raw_affiliation_strings":["People's Public Security University of China"],"affiliations":[{"raw_affiliation_string":"People's Public Security University of China","institution_ids":["https://openalex.org/I37448385"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079869878","display_name":"Xiaolong Deng","orcid":"https://orcid.org/0000-0002-8847-7174"},"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":"Xiaolong Deng","raw_affiliation_strings":["Beijing University of Posts and Telecommunications"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100323335","display_name":"Hui Zhang","orcid":"https://orcid.org/0000-0001-6171-4785"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Zhang","raw_affiliation_strings":["Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5072335941"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.30269677,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"2007","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11121","display_name":"Public Relations and Crisis Communication","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/3315","display_name":"Communication"},"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/T11121","display_name":"Public Relations and Crisis Communication","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/3315","display_name":"Communication"},"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/T10747","display_name":"Disaster Management and Resilience","score":0.9860000014305115,"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/T11573","display_name":"Risk Perception and Management","score":0.9822999835014343,"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/social-media","display_name":"Social media","score":0.6176078915596008},{"id":"https://openalex.org/keywords/social-distance","display_name":"Social distance","score":0.5491580367088318},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.4901748299598694},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.48900923132896423},{"id":"https://openalex.org/keywords/geographical-distance","display_name":"Geographical distance","score":0.48890700936317444},{"id":"https://openalex.org/keywords/construal-level-theory","display_name":"Construal level theory","score":0.48078078031539917},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4653032422065735},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.41584742069244385},{"id":"https://openalex.org/keywords/applied-psychology","display_name":"Applied psychology","score":0.38944971561431885},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.3492155969142914},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17425090074539185},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.13234537839889526},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.08479002118110657}],"concepts":[{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6176078915596008},{"id":"https://openalex.org/C172656115","wikidata":"https://www.wikidata.org/wiki/Q2142613","display_name":"Social distance","level":5,"score":0.5491580367088318},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.4901748299598694},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.48900923132896423},{"id":"https://openalex.org/C79876807","wikidata":"https://www.wikidata.org/wiki/Q3030660","display_name":"Geographical distance","level":3,"score":0.48890700936317444},{"id":"https://openalex.org/C26326936","wikidata":"https://www.wikidata.org/wiki/Q1128306","display_name":"Construal level theory","level":2,"score":0.48078078031539917},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4653032422065735},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.41584742069244385},{"id":"https://openalex.org/C75630572","wikidata":"https://www.wikidata.org/wiki/Q538904","display_name":"Applied psychology","level":1,"score":0.38944971561431885},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.3492155969142914},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17425090074539185},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.13234537839889526},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.08479002118110657},{"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/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.0},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3017611.3017614","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3017611.3017614","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Second ACM SIGSPATIALInternational Workshop on the Use of GIS in Emergency Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.47999998927116394,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1650394150","https://openalex.org/W1779560748","https://openalex.org/W1940620706","https://openalex.org/W2000934324","https://openalex.org/W2069516633","https://openalex.org/W2082028420","https://openalex.org/W2089457241","https://openalex.org/W2112702781","https://openalex.org/W2493985858","https://openalex.org/W6668118554"],"related_works":["https://openalex.org/W4386160816","https://openalex.org/W2917978880","https://openalex.org/W3035391215","https://openalex.org/W2007576031","https://openalex.org/W4214713638","https://openalex.org/W4308651111","https://openalex.org/W4287761470","https://openalex.org/W2152480088","https://openalex.org/W4307888158","https://openalex.org/W3193626970"],"abstract_inverted_index":{"Risk":[0],"communication":[1],"is":[2,51,68,81,102,111,121,149],"an":[3,12,45],"effective":[4],"means":[5],"of":[6,88,137],"emergency":[7,169],"management.":[8],"Online":[9],"information":[10,30],"plays":[11],"important":[13],"role":[14],"in":[15,19],"risk":[16,148],"communication,":[17],"especially":[18],"the":[20,40,55,76,108,138,161],"Big":[21],"Data":[22],"Era.":[23],"Citizens'":[24,65],"psychology":[25,61],"to":[26,53,124,135,152,168,172],"send":[27],"and":[28,60,97,107,129,166],"receive":[29],"determines":[31],"their":[32,153],"online":[33,58,66,119,145,154],"behavior":[34,62,80],"when":[35],"they":[36],"face":[37],"risk.":[38,64],"Using":[39],"Tianjin":[41],"Port":[42],"Explosions":[43],"as":[44],"example,":[46],"multiple":[47],"linear":[48],"regression":[49,100,162],"analysis":[50],"used":[52],"untangle":[54],"relationship":[56],"between":[57],"attention":[59,67,120,146,155,165],"under":[63,147,156],"estimated":[69],"by":[70,83],"social":[71,95,130],"media":[72],"data":[73],"collection":[74],"from":[75],"Sina":[77],"Weibo.":[78],"Psychology":[79],"quantified":[82],"psychological":[84],"distance":[85,96,128,131],"which":[86],"consists":[87],"four":[89],"dimensions:":[90],"spatial":[91,125],"distance,":[92,94,126],"temporal":[93,127],"probability.":[98],"The":[99],"model":[101],"built":[103],"via":[104],"SPSS":[105],"20.0":[106],"obtained":[109],"result":[110],"matched":[112],"with":[113],"actual":[114],"situation.":[115],"It":[116,140],"indicates":[117],"that":[118,143],"negatively":[122],"correlated":[123,134,151],"while":[132],"positively":[133,150],"probability":[136],"event.":[139],"also":[141],"shows":[142],"citizens'":[144,164],"normal":[157],"circumstance.":[158],"Based":[159],"on":[160],"model,":[163],"response":[167],"are":[170],"easy":[171],"be":[173],"assessed.":[174]},"counts_by_year":[{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}