{"id":"https://openalex.org/W2791862248","doi":"https://doi.org/10.1080/10919392.2018.1444337","title":"Detection of financial rumors using big data analytics: the case of the Bombay Stock Exchange","display_name":"Detection of financial rumors using big data analytics: the case of the Bombay Stock Exchange","publication_year":2018,"publication_date":"2018-03-26","ids":{"openalex":"https://openalex.org/W2791862248","doi":"https://doi.org/10.1080/10919392.2018.1444337","mag":"2791862248"},"language":"en","primary_location":{"id":"doi:10.1080/10919392.2018.1444337","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10919392.2018.1444337","pdf_url":null,"source":{"id":"https://openalex.org/S128779766","display_name":"Journal of Organizational Computing and Electronic Commerce","issn_l":"1054-1721","issn":["1054-1721","1091-9392","1532-7744"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Organizational Computing and Electronic Commerce","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/A5058306326","display_name":"Adrija Majumdar","orcid":"https://orcid.org/0000-0002-2672-3165"},"institutions":[{"id":"https://openalex.org/I71495548","display_name":"Indian Institute of Management Calcutta","ror":"https://ror.org/02zhewk16","country_code":"IN","type":"education","lineage":["https://openalex.org/I71495548"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Adrija Majumdar","raw_affiliation_strings":[",","Management Information Systems, Indian Institute of Management Calcutta, Kolkata, West Bengal, India"],"affiliations":[{"raw_affiliation_string":",","institution_ids":[]},{"raw_affiliation_string":"Management Information Systems, Indian Institute of Management Calcutta, Kolkata, West Bengal, India","institution_ids":["https://openalex.org/I71495548"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112057482","display_name":"Indranil Bose","orcid":null},"institutions":[{"id":"https://openalex.org/I71495548","display_name":"Indian Institute of Management Calcutta","ror":"https://ror.org/02zhewk16","country_code":"IN","type":"education","lineage":["https://openalex.org/I71495548"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Indranil Bose","raw_affiliation_strings":[",","Management Information Systems, Indian Institute of Management Calcutta, Kolkata, West Bengal, India"],"affiliations":[{"raw_affiliation_string":",","institution_ids":[]},{"raw_affiliation_string":"Management Information Systems, Indian Institute of Management Calcutta, Kolkata, West Bengal, India","institution_ids":["https://openalex.org/I71495548"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5112057482"],"corresponding_institution_ids":["https://openalex.org/I71495548"],"apc_list":null,"apc_paid":null,"fwci":1.7652,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.8583308,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"28","issue":"2","first_page":"79","last_page":"97"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10047","display_name":"Financial Markets and Investment Strategies","score":0.9876999855041504,"subfield":{"id":"https://openalex.org/subfields/2003","display_name":"Finance"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.7219417691230774},{"id":"https://openalex.org/keywords/stock-market","display_name":"Stock market","score":0.5934578776359558},{"id":"https://openalex.org/keywords/stock-exchange","display_name":"Stock exchange","score":0.5090500712394714},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.4985041618347168},{"id":"https://openalex.org/keywords/financial-market","display_name":"Financial market","score":0.4850115478038788},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.48179930448532104},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.4601597785949707},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.44815880060195923},{"id":"https://openalex.org/keywords/market-data","display_name":"Market data","score":0.4107668995857239},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.38384270668029785},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.29218488931655884},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.14114409685134888},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.13678261637687683}],"concepts":[{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.7219417691230774},{"id":"https://openalex.org/C2780299701","wikidata":"https://www.wikidata.org/wiki/Q475000","display_name":"Stock market","level":3,"score":0.5934578776359558},{"id":"https://openalex.org/C200870193","wikidata":"https://www.wikidata.org/wiki/Q11691","display_name":"Stock exchange","level":2,"score":0.5090500712394714},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.4985041618347168},{"id":"https://openalex.org/C19244329","wikidata":"https://www.wikidata.org/wiki/Q208697","display_name":"Financial market","level":2,"score":0.4850115478038788},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.48179930448532104},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.4601597785949707},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.44815880060195923},{"id":"https://openalex.org/C114118609","wikidata":"https://www.wikidata.org/wiki/Q3036837","display_name":"Market data","level":2,"score":0.4107668995857239},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.38384270668029785},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.29218488931655884},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.14114409685134888},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.13678261637687683},{"id":"https://openalex.org/C2780762169","wikidata":"https://www.wikidata.org/wiki/Q5905368","display_name":"Horse","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/10919392.2018.1444337","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10919392.2018.1444337","pdf_url":null,"source":{"id":"https://openalex.org/S128779766","display_name":"Journal of Organizational Computing and Electronic Commerce","issn_l":"1054-1721","issn":["1054-1721","1091-9392","1532-7744"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Organizational Computing and Electronic Commerce","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G1529113308","display_name":null,"funder_award_id":"RP:CSMAAAIMT-AVBA/3686/2016-17","funder_id":"https://openalex.org/F4320328202","funder_display_name":"Indian Institute of Management Calcutta"}],"funders":[{"id":"https://openalex.org/F4320328202","display_name":"Indian Institute of Management Calcutta","ror":"https://ror.org/02zhewk16"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W60143444","https://openalex.org/W229658738","https://openalex.org/W1501960888","https://openalex.org/W1505742155","https://openalex.org/W1527311855","https://openalex.org/W1532425657","https://openalex.org/W1546980630","https://openalex.org/W1593186263","https://openalex.org/W1638051351","https://openalex.org/W1755711892","https://openalex.org/W1790627065","https://openalex.org/W1970207190","https://openalex.org/W1971756982","https://openalex.org/W1984914688","https://openalex.org/W1989620683","https://openalex.org/W1997752435","https://openalex.org/W2006479099","https://openalex.org/W2007599834","https://openalex.org/W2039354463","https://openalex.org/W2092593817","https://openalex.org/W2095867983","https://openalex.org/W2104346635","https://openalex.org/W2115876615","https://openalex.org/W2119746191","https://openalex.org/W2123455615","https://openalex.org/W2132966115","https://openalex.org/W2133597866","https://openalex.org/W2135492276","https://openalex.org/W2138745909","https://openalex.org/W2138868712","https://openalex.org/W2159981908","https://openalex.org/W2164082612","https://openalex.org/W2170523596","https://openalex.org/W2170644967","https://openalex.org/W2177997627","https://openalex.org/W2219836174","https://openalex.org/W2267835966","https://openalex.org/W2405431446","https://openalex.org/W2417056346","https://openalex.org/W2508989498","https://openalex.org/W2525086369","https://openalex.org/W2574134800","https://openalex.org/W2578778667","https://openalex.org/W2591572004","https://openalex.org/W2622765476","https://openalex.org/W2739904528","https://openalex.org/W2949784378","https://openalex.org/W3048634280","https://openalex.org/W3123741106","https://openalex.org/W3124702422","https://openalex.org/W3125523400","https://openalex.org/W3125940648","https://openalex.org/W3125952890","https://openalex.org/W3150565116","https://openalex.org/W3150778347","https://openalex.org/W4230476723","https://openalex.org/W4238200010"],"related_works":["https://openalex.org/W2645942849","https://openalex.org/W1530600143","https://openalex.org/W2168464702","https://openalex.org/W2382075439","https://openalex.org/W3143021757","https://openalex.org/W2811178556","https://openalex.org/W70361519","https://openalex.org/W3124164496","https://openalex.org/W3047611702","https://openalex.org/W3164732300"],"abstract_inverted_index":{"Market":[0],"regulators":[1],"and":[2,17,33,69,107,142,179,218],"stock":[3,49,159,216],"exchanges":[4],"around":[5],"the":[6,29,48,77,97,156,161,166,170,180,183,208],"globe":[7],"need":[8],"to":[9,27,59,65,76,187,200,222],"ensure":[10],"that":[11,198],"investors":[12],"trade":[13],"in":[14,140],"a":[15,60,100,119,191,228,233],"fair":[16],"efficient":[18,32],"manner.":[19],"The":[20],"main":[21],"motive":[22],"for":[23,44,104,121,174],"market":[24,30,214,225],"surveillance":[25],"is":[26,42,93,132],"make":[28],"more":[31],"free":[34],"from":[35],"rouge":[36],"elements.":[37],"Identification":[38],"of":[39,47,56,72,79,90,99,109,124,144,155,172,176,182,203],"financial":[40,91,110,125,146,177,204],"rumors":[41,92,126,178],"vital":[43],"orderly":[45],"functioning":[46],"market.":[50],"Social":[51],"media":[52,83],"platforms":[53],"allow":[54],"spread":[55],"unverified":[57],"information":[58],"large":[61,70],"mass":[62],"quickly":[63],"due":[64],"their":[66],"interconnected":[67],"nature":[68],"number":[71],"participating":[73],"members.":[74],"Due":[75],"deluge":[78],"data":[80,102,185,235],"over":[81,232],"various":[82],"channels":[84],"including":[85],"social":[86],"media,":[87],"manual":[88],"scanning":[89],"inefficient.":[94],"This":[95],"necessitates":[96],"use":[98],"big":[101,128,184,234],"infrastructure":[103,186],"collection,":[105],"storage,":[106],"analysis":[108],"news":[111],"related":[112],"data.":[113,129],"In":[114],"this":[115],"paper,":[116],"we":[117,168],"introduce":[118],"framework":[120,131,209],"automated":[122],"detection":[123,143,175],"using":[127,227],"Our":[130],"based":[133],"on":[134,137],"extant":[135],"research":[136,220],"knowledge-based":[138],"discovery":[139],"databases":[141],"fraudulent":[145],"activities.":[147],"We":[148,193,206],"describe":[149],"an":[150],"in-depth":[151],"descriptive":[152],"case":[153],"study":[154],"world\u2019s":[157],"fastest":[158],"exchange,":[160],"Bombay":[162],"Stock":[163],"Exchange.":[164],"Through":[165],"case,":[167],"highlight":[169],"importance":[171,181],"analytics":[173],"carry":[188],"out":[189],"such":[190],"task.":[192],"identify":[194,223],"several":[195],"critical":[196],"factors":[197],"lead":[199],"successful":[201],"identification":[202],"rumors.":[205],"believe":[207],"can":[210],"be":[211],"used":[212],"by":[213],"regulators,":[215],"exchanges,":[217],"security":[219],"agencies":[221],"information-based":[224],"manipulation":[226],"systematic":[229],"data-driven":[230],"approach":[231],"infrastructure.":[236]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
