{"id":"https://openalex.org/W2028158266","doi":"https://doi.org/10.1145/2637002.2637041","title":"Classifying the influence of negative affect expressed by the financial media on investor behavior","display_name":"Classifying the influence of negative affect expressed by the financial media on investor behavior","publication_year":2014,"publication_date":"2014-08-21","ids":{"openalex":"https://openalex.org/W2028158266","doi":"https://doi.org/10.1145/2637002.2637041","mag":"2028158266"},"language":"en","primary_location":{"id":"doi:10.1145/2637002.2637041","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2637002.2637041","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th Information Interaction in Context Symposium","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/A5014562889","display_name":"Andy Moniz","orcid":null},"institutions":[{"id":"https://openalex.org/I913958620","display_name":"Erasmus University Rotterdam","ror":"https://ror.org/057w15z03","country_code":"NL","type":"education","lineage":["https://openalex.org/I913958620"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Andy Moniz","raw_affiliation_strings":["Erasmus University","ERASMUS UNIVERSITY"],"affiliations":[{"raw_affiliation_string":"Erasmus University","institution_ids":["https://openalex.org/I913958620"]},{"raw_affiliation_string":"ERASMUS UNIVERSITY","institution_ids":["https://openalex.org/I913958620"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005474414","display_name":"Franciska de Jong","orcid":"https://orcid.org/0000-0003-1541-9712"},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Franciska de Jong","raw_affiliation_strings":["Erasmus University and University of Twente"],"affiliations":[{"raw_affiliation_string":"Erasmus University and University of Twente","institution_ids":["https://openalex.org/I94624287"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5014562889"],"corresponding_institution_ids":["https://openalex.org/I913958620"],"apc_list":null,"apc_paid":null,"fwci":1.763,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.86828514,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"275","last_page":"278"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10047","display_name":"Financial Markets and Investment Strategies","score":0.9901000261306763,"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"}},"topics":[{"id":"https://openalex.org/T10047","display_name":"Financial Markets and Investment Strategies","score":0.9901000261306763,"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"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9822999835014343,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9569000005722046,"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/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.7333853244781494},{"id":"https://openalex.org/keywords/affect","display_name":"Affect (linguistics)","score":0.5938416123390198},{"id":"https://openalex.org/keywords/stock-market","display_name":"Stock market","score":0.5349084138870239},{"id":"https://openalex.org/keywords/attribution","display_name":"Attribution","score":0.4925547242164612},{"id":"https://openalex.org/keywords/pessimism","display_name":"Pessimism","score":0.47520408034324646},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.44970250129699707},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43940573930740356},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.36285436153411865},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.33305567502975464},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32613497972488403},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.3049968481063843},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.1062520444393158}],"concepts":[{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.7333853244781494},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.5938416123390198},{"id":"https://openalex.org/C2780299701","wikidata":"https://www.wikidata.org/wiki/Q475000","display_name":"Stock market","level":3,"score":0.5349084138870239},{"id":"https://openalex.org/C143299363","wikidata":"https://www.wikidata.org/wiki/Q900584","display_name":"Attribution","level":2,"score":0.4925547242164612},{"id":"https://openalex.org/C9992130","wikidata":"https://www.wikidata.org/wiki/Q484954","display_name":"Pessimism","level":2,"score":0.47520408034324646},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.44970250129699707},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43940573930740356},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.36285436153411865},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.33305567502975464},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32613497972488403},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.3049968481063843},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.1062520444393158},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.0},{"id":"https://openalex.org/C2780762169","wikidata":"https://www.wikidata.org/wiki/Q5905368","display_name":"Horse","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2637002.2637041","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2637002.2637041","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th Information Interaction in Context Symposium","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":44,"referenced_works":["https://openalex.org/W25301398","https://openalex.org/W80497942","https://openalex.org/W101809282","https://openalex.org/W641354324","https://openalex.org/W1880262756","https://openalex.org/W1972237209","https://openalex.org/W1984186949","https://openalex.org/W1998430703","https://openalex.org/W2001082470","https://openalex.org/W2018255452","https://openalex.org/W2066064791","https://openalex.org/W2079521622","https://openalex.org/W2081003893","https://openalex.org/W2082291422","https://openalex.org/W2082441077","https://openalex.org/W2090637028","https://openalex.org/W2096110600","https://openalex.org/W2120599646","https://openalex.org/W2125098710","https://openalex.org/W2126179176","https://openalex.org/W2130162792","https://openalex.org/W2140457324","https://openalex.org/W2141302415","https://openalex.org/W2150545684","https://openalex.org/W2158810025","https://openalex.org/W2164972036","https://openalex.org/W2168887669","https://openalex.org/W2171468534","https://openalex.org/W2536771151","https://openalex.org/W2554619162","https://openalex.org/W2607329260","https://openalex.org/W2911964244","https://openalex.org/W3121409256","https://openalex.org/W3122563224","https://openalex.org/W3122944446","https://openalex.org/W3123033096","https://openalex.org/W3124085131","https://openalex.org/W3125952890","https://openalex.org/W3133994440","https://openalex.org/W4231510805","https://openalex.org/W4388252364","https://openalex.org/W6639619044","https://openalex.org/W6679109501","https://openalex.org/W6685275399"],"related_works":["https://openalex.org/W2769501189","https://openalex.org/W4315588616","https://openalex.org/W4312773271","https://openalex.org/W2888805565","https://openalex.org/W2962686197","https://openalex.org/W2207653751","https://openalex.org/W2611137333","https://openalex.org/W3005513013","https://openalex.org/W4291700620","https://openalex.org/W4317422773"],"abstract_inverted_index":{"Prior":[0],"text":[1,165],"mining":[2,166],"studies":[3],"have":[4],"documented":[5],"a":[6,36,80,118,153],"causal":[7,54],"link":[8],"between":[9],"human":[10,41,61],"emotions":[11],"and":[12,56,174],"stock":[13,155],"market":[14,156],"patterns,":[15],"yet":[16],"relatively":[17],"little":[18],"research":[19],"exists":[20],"into":[21],"what":[22],"triggers":[23],"these":[24],"emotions.":[25],"This":[26],"paper":[27,159],"aims":[28],"to":[29,59,94,108,124,144],"bridge":[30],"the":[31,90,105,126,134,137,146,161,169,178],"gap":[32],"by":[33,85],"empirically":[34],"testing":[35],"social":[37],"psychology":[38],"theory":[39],"of":[40,82,97,130,148,164,171,180],"behavior.":[42,100],"Underlying":[43],"our":[44],"approach":[45,107],"lies":[46],"Attribution":[47],"Theory,":[48],"which":[49],"addresses":[50],"how":[51],"observers":[52],"form":[53],"inferences":[55],"moral":[57],"judgments":[58],"explain":[60],"behavior,":[62],"particularly":[63],"those":[64],"with":[65],"negative":[66,87,131],"outcomes.":[67],"The":[68,76,101,158],"system":[69,135],"presented":[70],"here":[71],"works":[72],"in":[73,117,140,186],"three":[74],"stages.":[75],"first":[77],"phase":[78,103],"computes":[79],"measure":[81],"media":[83,150],"pessimism":[84],"counting":[86],"terms":[88],"from":[89],"General":[91],"Inquirer":[92],"dictionary":[93],"detect":[95],"acts":[96],"corporate":[98],"irresponsible":[99],"second":[102],"extends":[104],"term-counting":[106],"capture":[109],"contextual":[110],"information.":[111],"Emotion":[112],"topic":[113],"priors":[114],"are":[115],"incorporated":[116],"Latent":[119],"Dirichlet":[120],"Allocation":[121],"(LDA)":[122],"model":[123],"infer":[125],"financial":[127,149],"media's":[128],"expression":[129],"affect.":[132],"Finally,":[133],"combines":[136],"two":[138],"components":[139],"an":[141],"ensemble":[142],"tree":[143],"classify":[145],"impact":[147],"allegations":[151],"on":[152],"company's":[154],"patterns.":[157],"underlines":[160],"potential":[162],"benefit":[163],"technology":[167],"for":[168,184],"support":[170],"investor":[172],"strategies,":[173],"more":[175],"generally":[176],"demonstrates":[177],"power":[179],"combining":[181],"multiple":[182],"methods":[183],"applications":[185],"specific":[187],"domains.":[188]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
