{"id":"https://openalex.org/W3207851465","doi":"https://doi.org/10.1177/01655515211047422","title":"Adapting the influences of publishers to perform news event detection","display_name":"Adapting the influences of publishers to perform news event detection","publication_year":2021,"publication_date":"2021-10-13","ids":{"openalex":"https://openalex.org/W3207851465","doi":"https://doi.org/10.1177/01655515211047422","mag":"3207851465"},"language":"en","primary_location":{"id":"doi:10.1177/01655515211047422","is_oa":false,"landing_page_url":"https://doi.org/10.1177/01655515211047422","pdf_url":null,"source":{"id":"https://openalex.org/S68913162","display_name":"Journal of Information Science","issn_l":"0165-5515","issn":["0165-5515","1741-6485"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information Science","raw_type":"journal-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/A5005670768","display_name":"Chun Chieh Chen","orcid":"https://orcid.org/0000-0001-6788-3010"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chun Chieh Chen","raw_affiliation_strings":["Institute of Information Management, National Cheng Kung University, Taiwan Department of Information Management, National Development Council, Taiwan"],"raw_orcid":"https://orcid.org/0000-0001-6788-3010","affiliations":[{"raw_affiliation_string":"Institute of Information Management, National Cheng Kung University, Taiwan Department of Information Management, National Development Council, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035284205","display_name":"Hei\u2010Chia Wang","orcid":"https://orcid.org/0000-0002-5790-7506"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Hei-Chia Wang","raw_affiliation_strings":["Institute of Information Management, National Cheng Kung University, TaiwanCenter of Innovative Fintech Business Models, National Cheng Kung University, Tainan 701, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-5790-7506","affiliations":[{"raw_affiliation_string":"Institute of Information Management, National Cheng Kung University, TaiwanCenter of Innovative Fintech Business Models, National Cheng Kung University, Tainan 701, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5035284205"],"corresponding_institution_ids":["https://openalex.org/I91807558"],"apc_list":null,"apc_paid":null,"fwci":0.2624,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.55432022,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"49","issue":"5","first_page":"1277","last_page":"1292"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9970999956130981,"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":0.9970999956130981,"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":0.9961000084877014,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9959999918937683,"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/event","display_name":"Event (particle physics)","score":0.7662883996963501},{"id":"https://openalex.org/keywords/government","display_name":"Government (linguistics)","score":0.618722140789032},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5869691371917725},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5386888980865479},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5102553367614746},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.47263142466545105},{"id":"https://openalex.org/keywords/news-media","display_name":"News media","score":0.4533386528491974},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.41719937324523926},{"id":"https://openalex.org/keywords/advertising","display_name":"Advertising","score":0.23471468687057495},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.2239162027835846},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.1977767050266266},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1668989658355713},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.06913414597511292}],"concepts":[{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.7662883996963501},{"id":"https://openalex.org/C2778137410","wikidata":"https://www.wikidata.org/wiki/Q2732820","display_name":"Government (linguistics)","level":2,"score":0.618722140789032},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5869691371917725},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5386888980865479},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5102553367614746},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.47263142466545105},{"id":"https://openalex.org/C529147693","wikidata":"https://www.wikidata.org/wiki/Q1193236","display_name":"News media","level":2,"score":0.4533386528491974},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.41719937324523926},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.23471468687057495},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.2239162027835846},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.1977767050266266},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1668989658355713},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.06913414597511292},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/01655515211047422","is_oa":false,"landing_page_url":"https://doi.org/10.1177/01655515211047422","pdf_url":null,"source":{"id":"https://openalex.org/S68913162","display_name":"Journal of Information Science","issn_l":"0165-5515","issn":["0165-5515","1741-6485"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information Science","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G289586531","display_name":null,"funder_award_id":"MOST 110-2410-H-006-042-MY3 and 109-2511-H-006-007","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W22074009","https://openalex.org/W1042911521","https://openalex.org/W1711803472","https://openalex.org/W1880262756","https://openalex.org/W1989832214","https://openalex.org/W2038536413","https://openalex.org/W2059356048","https://openalex.org/W2083985395","https://openalex.org/W2132914434","https://openalex.org/W2139542205","https://openalex.org/W2147152072","https://openalex.org/W2147707543","https://openalex.org/W2406465319","https://openalex.org/W2592843536","https://openalex.org/W2605397500","https://openalex.org/W2625431820","https://openalex.org/W2754013857","https://openalex.org/W2763244488","https://openalex.org/W2767460879","https://openalex.org/W2768113420","https://openalex.org/W2790272185","https://openalex.org/W2790826614","https://openalex.org/W2791790154","https://openalex.org/W2802855213","https://openalex.org/W2841402245","https://openalex.org/W2892137778","https://openalex.org/W2899671575","https://openalex.org/W2907489022","https://openalex.org/W2911815954","https://openalex.org/W2939843948","https://openalex.org/W2942765639","https://openalex.org/W2963601337","https://openalex.org/W2969545244","https://openalex.org/W2977886427","https://openalex.org/W2978056439","https://openalex.org/W2986174819","https://openalex.org/W3006418057","https://openalex.org/W3013642887","https://openalex.org/W3021197859","https://openalex.org/W3044776620","https://openalex.org/W3136357817","https://openalex.org/W3162417502","https://openalex.org/W4213009331","https://openalex.org/W4238844819"],"related_works":["https://openalex.org/W2149537132","https://openalex.org/W2018871932","https://openalex.org/W641279757","https://openalex.org/W370975646","https://openalex.org/W1670566515","https://openalex.org/W4242022592","https://openalex.org/W596972243","https://openalex.org/W4313230280","https://openalex.org/W69751022","https://openalex.org/W2063534752"],"abstract_inverted_index":{"Online":[0],"news":[1,23,49,72,87,94,107,127,143],"outlets":[2,24],"have":[3,102],"the":[4,13,16,104,111,156,182],"power":[5],"to":[6,25,39,67,123,141,154,161,179],"influence":[7,105],"public":[8,40],"policy":[9],"issues.":[10],"To":[11,36],"understand":[12],"opinions":[14],"of":[15,106],"people,":[17],"many":[18],"government":[19,54,162],"departments":[20],"check":[21],"online":[22],"manually":[26],"detect":[27],"events":[28,50,157],"that":[29,51,83,95,158,168],"interest":[30,53],"people.":[31],"This":[32,56],"process":[33],"is":[34,88,96,152,177,188],"time-consuming.":[35],"promptly":[37],"respond":[38],"expectations,":[41],"this":[42,116,186],"research":[43],"proposes":[44,58,118],"a":[45,59,76,125],"framework":[46,133],"for":[47,61],"detecting":[48],"may":[52],"departments.":[55,163],"article":[57],"method":[60,176,184],"finding":[62],"event":[63,128,149,198],"trigger":[64,135],"words":[65,136],"used":[66,178],"represent":[68],"an":[69,119,148],"event.":[70],"The":[71,131,164,190],"media":[73,108],"can":[74],"be":[75],"critical":[77,92],"participant":[78],"in":[79,185,197],"\u2018agenda-setting\u2019,":[80],"which":[81],"means":[82],"more":[84,89],"widely":[85],"discussed":[86],"attractive":[90,160],"and":[91,137],"than":[93],"less":[97],"discussed.":[98],"However,":[99],"few":[100],"studies":[101],"considered":[103],"publishers":[109],"from":[110,171],"\u2018agenda":[112,120],"setting\u2019":[113],"perspective.":[114],"Therefore,":[115],"study":[117,187],"setting\u2019-based":[121],"filter":[122],"establish":[124],"high-impact":[126],"detection":[129,150,199],"model.":[130],"proposed":[132],"identifies":[134],"utilises":[138],"word":[139],"embedding":[140],"find":[142],"event\u2013related":[144],"words.":[145],"After":[146],"that,":[147],"model":[151],"designed":[153],"determine":[155],"are":[159],"experimental":[165],"results":[166],"show":[167],"purity":[169],"increases":[170],"0.666":[172],"when":[173,181],"no":[174],"extraction":[175,183],"0.809":[180],"used.":[189],"overall":[191],"improvement":[192,196],"trend":[193],"shows":[194],"significant":[195],"performance.":[200]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-05T06:06:40.768181","created_date":"2025-10-10T00:00:00"}
