{"id":"https://openalex.org/W4297999768","doi":"https://doi.org/10.1145/3532856","title":"A User-Centric Analysis of Social Media for Stock Market Prediction","display_name":"A User-Centric Analysis of Social Media for Stock Market Prediction","publication_year":2022,"publication_date":"2022-09-29","ids":{"openalex":"https://openalex.org/W4297999768","doi":"https://doi.org/10.1145/3532856"},"language":"en","primary_location":{"id":"doi:10.1145/3532856","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3532856","pdf_url":null,"source":{"id":"https://openalex.org/S131231701","display_name":"ACM Transactions on the Web","issn_l":"1559-1131","issn":["1559-1131","1559-114X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on the Web","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/journal_contribution/A_User-Centric_Analysis_of_Social_Media_for_Stock_Market_Prediction/21252060","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018899731","display_name":"Mohamed Reda Bouadjenek","orcid":"https://orcid.org/0000-0003-1807-430X"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Mohamed Reda Bouadjenek","raw_affiliation_strings":["Deakin University, Geelong, Victoria, Australia"],"affiliations":[{"raw_affiliation_string":"Deakin University, Geelong, Victoria, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028174137","display_name":"Scott Sanner","orcid":"https://orcid.org/0000-0001-7984-8394"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Scott Sanner","raw_affiliation_strings":["University of Toronto, Toronto, Ontario, Canada"],"affiliations":[{"raw_affiliation_string":"University of Toronto, Toronto, Ontario, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004959715","display_name":"Ga Wu","orcid":"https://orcid.org/0000-0002-0370-0622"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ga Wu","raw_affiliation_strings":["University of Toronto, Toronto, Ontario, Canada"],"affiliations":[{"raw_affiliation_string":"University of Toronto, Toronto, Ontario, Canada","institution_ids":["https://openalex.org/I185261750"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5018899731"],"corresponding_institution_ids":["https://openalex.org/I149704539"],"apc_list":null,"apc_paid":null,"fwci":2.8818,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.91268513,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"17","issue":"2","first_page":"1","last_page":"22"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9983000159263611,"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":0.9983000159263611,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9865000247955322,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9779999852180481,"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/social-media","display_name":"Social media","score":0.7695693373680115},{"id":"https://openalex.org/keywords/stock","display_name":"Stock (firearms)","score":0.7101360559463501},{"id":"https://openalex.org/keywords/stock-market","display_name":"Stock market","score":0.6991284489631653},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5607044100761414},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.45441731810569763},{"id":"https://openalex.org/keywords/user-generated-content","display_name":"User-generated content","score":0.4489891529083252},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.37125372886657715},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.28847944736480713},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16571557521820068}],"concepts":[{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.7695693373680115},{"id":"https://openalex.org/C204036174","wikidata":"https://www.wikidata.org/wiki/Q909380","display_name":"Stock (firearms)","level":2,"score":0.7101360559463501},{"id":"https://openalex.org/C2780299701","wikidata":"https://www.wikidata.org/wiki/Q475000","display_name":"Stock market","level":3,"score":0.6991284489631653},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5607044100761414},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.45441731810569763},{"id":"https://openalex.org/C101293273","wikidata":"https://www.wikidata.org/wiki/Q579716","display_name":"User-generated content","level":3,"score":0.4489891529083252},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.37125372886657715},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.28847944736480713},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16571557521820068},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"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":2,"locations":[{"id":"doi:10.1145/3532856","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3532856","pdf_url":null,"source":{"id":"https://openalex.org/S131231701","display_name":"ACM Transactions on the Web","issn_l":"1559-1131","issn":["1559-1131","1559-114X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on the Web","raw_type":"journal-article"},{"id":"pmh:oai:figshare.com:article/21252060","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/A_User-Centric_Analysis_of_Social_Media_for_Stock_Market_Prediction/21252060","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/21252060","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/A_User-Centric_Analysis_of_Social_Media_for_Stock_Market_Prediction/21252060","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/8"}],"awards":[{"id":"https://openalex.org/G3214059232","display_name":null,"funder_award_id":"31104","funder_id":"https://openalex.org/F4320310942","funder_display_name":"Ontario Centres of Excellence"}],"funders":[{"id":"https://openalex.org/F4320310942","display_name":"Ontario Centres of Excellence","ror":"https://ror.org/01t8nk565"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1259090559","https://openalex.org/W1593045043","https://openalex.org/W1651162101","https://openalex.org/W1908686216","https://openalex.org/W1968380849","https://openalex.org/W1970934894","https://openalex.org/W2004192095","https://openalex.org/W2009086942","https://openalex.org/W2018899178","https://openalex.org/W2027860007","https://openalex.org/W2074250525","https://openalex.org/W2099813784","https://openalex.org/W2113687945","https://openalex.org/W2116988722","https://openalex.org/W2171468534","https://openalex.org/W2250886571","https://openalex.org/W2261191690","https://openalex.org/W2471350540","https://openalex.org/W2528510132","https://openalex.org/W2537457478","https://openalex.org/W2563352291","https://openalex.org/W2610519451","https://openalex.org/W2620887933","https://openalex.org/W2741783618","https://openalex.org/W2753259282","https://openalex.org/W2808770849","https://openalex.org/W2883853499","https://openalex.org/W2905742278","https://openalex.org/W2922207040","https://openalex.org/W2954604779","https://openalex.org/W2965613425","https://openalex.org/W2969799658","https://openalex.org/W2981733053","https://openalex.org/W2991175436","https://openalex.org/W3001645704","https://openalex.org/W3011776577","https://openalex.org/W3021190090","https://openalex.org/W3033317208","https://openalex.org/W3034660134","https://openalex.org/W3041294746","https://openalex.org/W3045495327","https://openalex.org/W3082523222","https://openalex.org/W3100909980","https://openalex.org/W3102853424","https://openalex.org/W3121138196","https://openalex.org/W3121806563","https://openalex.org/W3125062974","https://openalex.org/W3138927188","https://openalex.org/W3143835353","https://openalex.org/W3169039070","https://openalex.org/W3174519801","https://openalex.org/W3194388628","https://openalex.org/W3212711647","https://openalex.org/W4205688737","https://openalex.org/W4240307802","https://openalex.org/W4245173072"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2548633793","https://openalex.org/W3013279174","https://openalex.org/W2941935829","https://openalex.org/W2596247554","https://openalex.org/W3132372214","https://openalex.org/W4224284088","https://openalex.org/W4286571989","https://openalex.org/W2765903680","https://openalex.org/W2370669686"],"abstract_inverted_index":{"Social":[0],"media":[1,33,51,87,131],"platforms":[2,34,52],"such":[3],"as":[4],"Twitter":[5,184],"or":[6,164],"StockTwits":[7,186,217],"are":[8,241,248,259,287],"widely":[9],"used":[10,90],"for":[11,269],"sharing":[12],"stock":[13,43,65,94,137,152,174,245,310],"market":[14,44,153,246,311],"opinions":[15],"between":[16],"investors,":[17],"traders,":[18],"and":[19,59,106,145,185,278,281,301],"entrepreneurs.":[20],"Empirically,":[21],"previous":[22,79],"work":[23,80],"has":[24,81],"shown":[25],"that":[26],"the":[27,69,93,101,104,107,172,214,244,255,305],"content":[28,141,300],"posted":[29,140,192],"on":[30,48,112,233,236],"these":[31,49,113,178],"social":[32,50,86,130],"can":[35,88],"be":[36,89,297],"leveraged":[37],"to":[38,63,83,91,121,196,229,291,296,308],"predict":[39,92],"various":[40],"aspects":[41],"of":[42,78,103,109,125,136,191,200,207,223,265],"performance.":[45],"Nonetheless,":[46],"actors":[47],"may":[53,60],"not":[54],"always":[55],"have":[56],"altruistic":[57],"motivations":[58],"instead":[61],"seek":[62],"influence":[64],"trading":[66],"behavior":[67,108,155,268],"through":[68],"(potentially":[70],"misleading)":[71],"information":[72,224],"they":[73],"post.":[74],"While":[75],"a":[76,123,205,219,272],"lot":[77],"sought":[82],"analyze":[84],"how":[85],"market,":[95],"there":[96,258],"remain":[97],"many":[98],"questions":[99],"regarding":[100],"quality":[102],"predictions":[105,168,312],"active":[110],"users":[111,162,270,285],"platforms.":[114],"To":[115,176],"this":[116,118,201],"end,":[117],"article":[119],"seeks":[120],"address":[122],"number":[124,206],"open":[126],"research":[127],"questions:":[128],"Which":[129],"platform":[132],"is":[133,142,218],"more":[134,220],"predictive":[135,221,251,267],"performance?":[138],"What":[139],"actually":[143],"predictive,":[144],"over":[146,254,271],"what":[147,293],"time":[148],"horizon?":[149],"How":[150],"does":[151],"posting":[154],"vary":[156],"among":[157,210],"different":[158],"users?":[159],"Are":[160],"all":[161],"trustworthy":[163],"do":[165],"some":[166],"user\u2019s":[167],"consistently":[169,283],"mislead":[170],"about":[171],"true":[173],"movement?":[175],"answer":[177],"questions,":[179],"we":[180,212,294],"analyzed":[181],"data":[182,306],"from":[183,304,313],"covering":[187],"almost":[188],"5":[189],"years":[190],"messages":[193],"spanning":[194],"2015":[195],"2019.":[197],"The":[198],"results":[199],"large-scale":[202],"study":[203],"provide":[204],"important":[208],"insights":[209],"which":[211],"present":[213],"following:":[215],"(i)":[216],"source":[222],"than":[225],"Twitter,":[226],"leading":[227],"us":[228],"focus":[230],"our":[231],"analysis":[232],"StockTwits;":[234],"(ii)":[235],"StockTwits,":[237],"users\u2019":[238],"self-labeled":[239,314],"sentiments":[240],"correlated":[242],"with":[243],"but":[247],"only":[249],"slightly":[250],"in":[252],"aggregate":[253],"short-term;":[256],"(iii)":[257],"at":[260],"least":[261],"three":[262],"clear":[263],"types":[264],"temporal":[266],"144":[273],"days":[274],"horizon:":[275],"short,":[276],"medium,":[277],"long":[279],"term;":[280],"(iv)":[282],"incorrect":[284],"who":[286],"reliably":[288],"wrong":[289],"tend":[290],"exhibit":[292],"conjecture":[295],"\u201cbotlike\u201d":[298],"post":[299],"their":[302],"removal":[303],"tends":[307],"improve":[309],"content.":[315]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
