{"id":"https://openalex.org/W2963139477","doi":"https://doi.org/10.1109/bigdata.2017.8258082","title":"Reuters tracer: Toward automated news production using large scale social media data","display_name":"Reuters tracer: Toward automated news production using large scale social media data","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2963139477","doi":"https://doi.org/10.1109/bigdata.2017.8258082","mag":"2963139477"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2017.8258082","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2017.8258082","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Big Data (Big Data)","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/A5048424819","display_name":"Xiaomo Liu","orcid":"https://orcid.org/0000-0003-4184-4202"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]},{"id":"https://openalex.org/I68384125","display_name":"Thomson Reuters (United States)","ror":"https://ror.org/00m7gt169","country_code":"US","type":"company","lineage":["https://openalex.org/I68384125"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xiaomo Liu","raw_affiliation_strings":["Research and Development, Thomson Reuters, Alibaba Group Inc"],"affiliations":[{"raw_affiliation_string":"Research and Development, Thomson Reuters, Alibaba Group Inc","institution_ids":["https://openalex.org/I68384125","https://openalex.org/I4210095624"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062396463","display_name":"Armineh Nourbakhsh","orcid":"https://orcid.org/0009-0004-1908-8679"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]},{"id":"https://openalex.org/I68384125","display_name":"Thomson Reuters (United States)","ror":"https://ror.org/00m7gt169","country_code":"US","type":"company","lineage":["https://openalex.org/I68384125"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Armineh Nourbakhsh","raw_affiliation_strings":["Research and Development, Thomson Reuters, Alibaba Group Inc"],"affiliations":[{"raw_affiliation_string":"Research and Development, Thomson Reuters, Alibaba Group Inc","institution_ids":["https://openalex.org/I68384125","https://openalex.org/I4210095624"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048436051","display_name":"Quanzhi Li","orcid":"https://orcid.org/0000-0002-4605-4237"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]},{"id":"https://openalex.org/I68384125","display_name":"Thomson Reuters (United States)","ror":"https://ror.org/00m7gt169","country_code":"US","type":"company","lineage":["https://openalex.org/I68384125"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Quanzhi Li","raw_affiliation_strings":["Research and Development, Thomson Reuters, Alibaba Group Inc"],"affiliations":[{"raw_affiliation_string":"Research and Development, Thomson Reuters, Alibaba Group Inc","institution_ids":["https://openalex.org/I68384125","https://openalex.org/I4210095624"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103231131","display_name":"Sameena Shah","orcid":"https://orcid.org/0000-0002-8236-6465"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]},{"id":"https://openalex.org/I68384125","display_name":"Thomson Reuters (United States)","ror":"https://ror.org/00m7gt169","country_code":"US","type":"company","lineage":["https://openalex.org/I68384125"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sameena Shah","raw_affiliation_strings":["Research and Development, Thomson Reuters, Alibaba Group Inc"],"affiliations":[{"raw_affiliation_string":"Research and Development, Thomson Reuters, Alibaba Group Inc","institution_ids":["https://openalex.org/I68384125","https://openalex.org/I4210095624"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034844335","display_name":"Robert Martin","orcid":"https://orcid.org/0000-0003-0037-3950"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]},{"id":"https://openalex.org/I68384125","display_name":"Thomson Reuters (United States)","ror":"https://ror.org/00m7gt169","country_code":"US","type":"company","lineage":["https://openalex.org/I68384125"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robert Martin","raw_affiliation_strings":["Research and Development, Thomson Reuters, Alibaba Group Inc"],"affiliations":[{"raw_affiliation_string":"Research and Development, Thomson Reuters, Alibaba Group Inc","institution_ids":["https://openalex.org/I68384125","https://openalex.org/I4210095624"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062906333","display_name":"John Duprey","orcid":null},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]},{"id":"https://openalex.org/I68384125","display_name":"Thomson Reuters (United States)","ror":"https://ror.org/00m7gt169","country_code":"US","type":"company","lineage":["https://openalex.org/I68384125"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Duprey","raw_affiliation_strings":["Research and Development, Thomson Reuters, Alibaba Group Inc"],"affiliations":[{"raw_affiliation_string":"Research and Development, Thomson Reuters, Alibaba Group Inc","institution_ids":["https://openalex.org/I68384125","https://openalex.org/I4210095624"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5048424819"],"corresponding_institution_ids":["https://openalex.org/I4210095624","https://openalex.org/I68384125"],"apc_list":null,"apc_paid":null,"fwci":14.9713,"has_fulltext":false,"cited_by_count":49,"citation_normalized_percentile":{"value":0.9869275,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1483","last_page":"1493"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9980000257492065,"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/T11644","display_name":"Spam and Phishing Detection","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/computer-science","display_name":"Computer science","score":0.7824492454528809},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.7240753173828125},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5698975324630737},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.5496169924736023},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.5461176633834839},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5454089045524597},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5318339467048645},{"id":"https://openalex.org/keywords/dissemination","display_name":"Dissemination","score":0.49810266494750977},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.4938560128211975},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.46845245361328125},{"id":"https://openalex.org/keywords/competitive-advantage","display_name":"Competitive advantage","score":0.4584682583808899},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4482017159461975},{"id":"https://openalex.org/keywords/geotagging","display_name":"Geotagging","score":0.4311266541481018},{"id":"https://openalex.org/keywords/production","display_name":"Production (economics)","score":0.4287051558494568},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4255399703979492},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3965632915496826},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.27616769075393677},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12444984912872314},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.11725625395774841}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7824492454528809},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.7240753173828125},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5698975324630737},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.5496169924736023},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.5461176633834839},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5454089045524597},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5318339467048645},{"id":"https://openalex.org/C101780184","wikidata":"https://www.wikidata.org/wiki/Q840576","display_name":"Dissemination","level":2,"score":0.49810266494750977},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.4938560128211975},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.46845245361328125},{"id":"https://openalex.org/C58546491","wikidata":"https://www.wikidata.org/wiki/Q1150207","display_name":"Competitive advantage","level":2,"score":0.4584682583808899},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4482017159461975},{"id":"https://openalex.org/C53605480","wikidata":"https://www.wikidata.org/wiki/Q852595","display_name":"Geotagging","level":2,"score":0.4311266541481018},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.4287051558494568},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4255399703979492},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3965632915496826},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.27616769075393677},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12444984912872314},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.11725625395774841},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","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},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2017.8258082","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2017.8258082","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W651477617","https://openalex.org/W658959030","https://openalex.org/W1549229937","https://openalex.org/W1638051351","https://openalex.org/W1766838353","https://openalex.org/W1823976324","https://openalex.org/W1890727290","https://openalex.org/W1926753013","https://openalex.org/W2001082470","https://openalex.org/W2020360881","https://openalex.org/W2037789405","https://openalex.org/W2051405935","https://openalex.org/W2061165722","https://openalex.org/W2069960057","https://openalex.org/W2084591134","https://openalex.org/W2110693578","https://openalex.org/W2110785023","https://openalex.org/W2127492100","https://openalex.org/W2128721751","https://openalex.org/W2140427797","https://openalex.org/W2180721559","https://openalex.org/W2222139048","https://openalex.org/W2252275596","https://openalex.org/W2485883311","https://openalex.org/W2498041801","https://openalex.org/W2536913641","https://openalex.org/W2542094447","https://openalex.org/W2559783435","https://openalex.org/W2564088675","https://openalex.org/W2567983140","https://openalex.org/W2578882746","https://openalex.org/W2614548997","https://openalex.org/W2734643412","https://openalex.org/W3101913037","https://openalex.org/W4230930455","https://openalex.org/W4232680890","https://openalex.org/W4247081456","https://openalex.org/W4250779384","https://openalex.org/W4295295673","https://openalex.org/W6637687246","https://openalex.org/W6638684992","https://openalex.org/W6639481793","https://openalex.org/W6680730250","https://openalex.org/W6688738766","https://openalex.org/W6691335170","https://openalex.org/W6722288397","https://openalex.org/W6723834359","https://openalex.org/W6730311365","https://openalex.org/W6731369653","https://openalex.org/W6740657671","https://openalex.org/W6744134359"],"related_works":["https://openalex.org/W2381242807","https://openalex.org/W3126131230","https://openalex.org/W2347541121","https://openalex.org/W2080951048","https://openalex.org/W4288804799","https://openalex.org/W3032237421","https://openalex.org/W2390346111","https://openalex.org/W1496536969","https://openalex.org/W3011883280","https://openalex.org/W2369082698"],"abstract_inverted_index":{"To":[0],"deal":[1],"with":[2],"the":[3,12,140,190],"sheer":[4],"volume":[5],"of":[6,44,88,142],"information":[7],"and":[8,19,48,69,80,103,118,128,130,147,162,167,178,186],"gain":[9],"competitive":[10,158],"advantage,":[11],"news":[13,22,36,50,78,137,165],"industry":[14],"has":[15,73],"started":[16],"to":[17,62,77,121,135,156],"explore":[18],"invest":[20],"in":[21,51,145],"automation.":[23],"In":[24,60,169],"this":[25,170,184],"paper,":[26,171],"we":[27,172],"present":[28],"Reuters":[29,55,143],"Tracer,":[30],"a":[31,74,85,116,119],"system":[32],"that":[33,106,138,180],"automates":[34],"end-to-end":[35],"production":[37],"using":[38],"Twitter":[39],"data.":[40],"It":[41,72],"is":[42,67,149,154],"capable":[43],"detecting,":[45],"classifying,":[46],"annotating,":[47],"disseminating":[49],"real":[52],"time":[53],"for":[54],"journalists":[56,144],"without":[57],"manual":[58],"intervention.":[59],"contrast":[61],"other":[63],"similar":[64],"systems,":[65],"Tracer":[66,153],"topic":[68,120],"domain":[70],"agnostic.":[71],"bottom-up":[75],"approach":[76],"detection,":[79],"does":[81],"not":[82],"rely":[83],"on":[84,164],"predefined":[86],"set":[87],"sources":[89],"or":[90],"subjects.":[91],"Instead,":[92],"it":[93,110],"identifies":[94],"emerging":[95],"conversations":[96],"from":[97],"12+":[98],"million":[99],"tweets":[100],"per":[101],"day":[102],"selects":[104],"those":[105],"are":[107],"news-like.":[108],"Then,":[109],"contextualizes":[111],"each":[112],"story":[113],"by":[114],"adding":[115],"summary":[117],"it,":[122],"estimating":[123],"its":[124],"newsworthiness,":[125],"veracity,":[126],"novelty,":[127],"scope,":[129],"geotags":[131],"it.":[132],"Designing":[133],"algorithms":[134],"generate":[136],"meets":[139],"standards":[141],"accuracy":[146],"timeliness":[148],"quite":[150],"challenging.":[151],"But":[152],"able":[155],"achieve":[157,183],"precision,":[159],"recall,":[160],"timeliness,":[161],"veracity":[163],"detection":[166],"delivery.":[168],"reveal":[173],"our":[174],"key":[175],"algorithm":[176],"designs":[177],"evaluations":[179],"helped":[181],"us":[182],"goal,":[185],"lessons":[187],"learned":[188],"along":[189],"way.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}