{"id":"https://openalex.org/W4394879918","doi":"https://doi.org/10.1145/3614419.3643993","title":"Highly Regarded Investors? Mining Predictive Value from the Collective Intelligence of Reddit's WallStreetBets","display_name":"Highly Regarded Investors? Mining Predictive Value from the Collective Intelligence of Reddit's WallStreetBets","publication_year":2024,"publication_date":"2024-04-17","ids":{"openalex":"https://openalex.org/W4394879918","doi":"https://doi.org/10.1145/3614419.3643993"},"language":"en","primary_location":{"id":"doi:10.1145/3614419.3643993","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3614419.3643993","pdf_url":null,"source":null,"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Web Science Conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3614419.3643993","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019597542","display_name":"Tolga Buz","orcid":"https://orcid.org/0000-0001-9790-0790"},"institutions":[{"id":"https://openalex.org/I143288331","display_name":"Hasso Plattner Institute","ror":"https://ror.org/058rn5r42","country_code":"DE","type":"facility","lineage":["https://openalex.org/I143288331","https://openalex.org/I176453806"]},{"id":"https://openalex.org/I176453806","display_name":"University of Potsdam","ror":"https://ror.org/03bnmw459","country_code":"DE","type":"education","lineage":["https://openalex.org/I176453806"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Tolga Buz","raw_affiliation_strings":["Hasso Plattner Institute, University of Potsdam, Germany"],"affiliations":[{"raw_affiliation_string":"Hasso Plattner Institute, University of Potsdam, Germany","institution_ids":["https://openalex.org/I143288331","https://openalex.org/I176453806"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075588468","display_name":"M. Schneider","orcid":"https://orcid.org/0000-0002-7704-2423"},"institutions":[{"id":"https://openalex.org/I143288331","display_name":"Hasso Plattner Institute","ror":"https://ror.org/058rn5r42","country_code":"DE","type":"facility","lineage":["https://openalex.org/I143288331","https://openalex.org/I176453806"]},{"id":"https://openalex.org/I176453806","display_name":"University of Potsdam","ror":"https://ror.org/03bnmw459","country_code":"DE","type":"education","lineage":["https://openalex.org/I176453806"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Moritz Schneider","raw_affiliation_strings":["Hasso Plattner Institute, University of Potsdam, Germany"],"affiliations":[{"raw_affiliation_string":"Hasso Plattner Institute, University of Potsdam, Germany","institution_ids":["https://openalex.org/I143288331","https://openalex.org/I176453806"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057193240","display_name":"Lucie-Aim\u00e9e Kaffee","orcid":"https://orcid.org/0000-0002-1514-8505"},"institutions":[{"id":"https://openalex.org/I176453806","display_name":"University of Potsdam","ror":"https://ror.org/03bnmw459","country_code":"DE","type":"education","lineage":["https://openalex.org/I176453806"]},{"id":"https://openalex.org/I143288331","display_name":"Hasso Plattner Institute","ror":"https://ror.org/058rn5r42","country_code":"DE","type":"facility","lineage":["https://openalex.org/I143288331","https://openalex.org/I176453806"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Lucie-Aim\u00e9e Kaffee","raw_affiliation_strings":["Hasso Plattner Institute, University of Potsdam, Germany"],"affiliations":[{"raw_affiliation_string":"Hasso Plattner Institute, University of Potsdam, Germany","institution_ids":["https://openalex.org/I143288331","https://openalex.org/I176453806"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085818578","display_name":"Gerard de Melo","orcid":"https://orcid.org/0000-0002-2930-2059"},"institutions":[{"id":"https://openalex.org/I176453806","display_name":"University of Potsdam","ror":"https://ror.org/03bnmw459","country_code":"DE","type":"education","lineage":["https://openalex.org/I176453806"]},{"id":"https://openalex.org/I143288331","display_name":"Hasso Plattner Institute","ror":"https://ror.org/058rn5r42","country_code":"DE","type":"facility","lineage":["https://openalex.org/I143288331","https://openalex.org/I176453806"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gerard De Melo","raw_affiliation_strings":["Hasso Plattner Institute, University of Potsdam, Germany"],"affiliations":[{"raw_affiliation_string":"Hasso Plattner Institute, University of Potsdam, Germany","institution_ids":["https://openalex.org/I143288331","https://openalex.org/I176453806"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5019597542"],"corresponding_institution_ids":["https://openalex.org/I143288331","https://openalex.org/I176453806"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0560073,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"320","last_page":"330"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9667999744415283,"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":0.9667999744415283,"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/T11995","display_name":"FinTech, Crowdfunding, Digital Finance","score":0.9567999839782715,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10047","display_name":"Financial Markets and Investment Strategies","score":0.9534000158309937,"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/value","display_name":"Value (mathematics)","score":0.5706669092178345},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5111683011054993},{"id":"https://openalex.org/keywords/predictive-value","display_name":"Predictive value","score":0.4922110140323639},{"id":"https://openalex.org/keywords/collective-intelligence","display_name":"Collective intelligence","score":0.48947107791900635},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.34991857409477234},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23328116536140442},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1895361840724945}],"concepts":[{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.5706669092178345},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5111683011054993},{"id":"https://openalex.org/C3019719930","wikidata":"https://www.wikidata.org/wiki/Q3910099","display_name":"Predictive value","level":2,"score":0.4922110140323639},{"id":"https://openalex.org/C89057211","wikidata":"https://www.wikidata.org/wiki/Q432197","display_name":"Collective intelligence","level":2,"score":0.48947107791900635},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.34991857409477234},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23328116536140442},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1895361840724945},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3614419.3643993","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3614419.3643993","pdf_url":null,"source":null,"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Web Science Conference","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3614419.3643993","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3614419.3643993","pdf_url":null,"source":null,"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Web Science Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W138038402","https://openalex.org/W339285992","https://openalex.org/W1259090559","https://openalex.org/W1947985544","https://openalex.org/W2009751348","https://openalex.org/W2036455044","https://openalex.org/W2072322795","https://openalex.org/W2136132422","https://openalex.org/W2148489082","https://openalex.org/W2295598076","https://openalex.org/W2464243336","https://openalex.org/W2747599906","https://openalex.org/W2917431595","https://openalex.org/W3002330681","https://openalex.org/W3036282587","https://openalex.org/W3047148837","https://openalex.org/W3133903477","https://openalex.org/W3136378589","https://openalex.org/W3139284963","https://openalex.org/W3156421741","https://openalex.org/W3160203461","https://openalex.org/W3167483401","https://openalex.org/W3185923516","https://openalex.org/W3187811656","https://openalex.org/W3192947973","https://openalex.org/W4224326626","https://openalex.org/W4232595439","https://openalex.org/W4283462840","https://openalex.org/W4293235468","https://openalex.org/W4300485781","https://openalex.org/W4307562882","https://openalex.org/W4312744654","https://openalex.org/W4367046738"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W4387497383","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2778153218","https://openalex.org/W2748952813","https://openalex.org/W1531601525","https://openalex.org/W2390279801","https://openalex.org/W2358668433"],"abstract_inverted_index":{"In":[0],"2021,":[1],"the":[2,12,51,65,137,147,150,155,160,173,216],"Reddit":[3],"community":[4,31,52],"of":[5,18,38,55,67,94,139,149,159,206,219],"WallStreetBets":[6],"(WSB)":[7],"started":[8],"making":[9],"headlines":[10],"in":[11,53],"mainstream":[13],"media":[14],"as":[15,28,197],"a":[16,140,183,203],"source":[17,205],"risky":[19],"investment":[20,44,71,95,180,207],"ideas":[21],"called":[22],"YOLOs,":[23],"and":[24,42,57,100,109,130,154,177,201,225],"meme":[25],"stocks":[26],"such":[27],"GameStop.":[29],"The":[30],"has":[32,49],"become":[33],"infamous":[34],"for":[35],"its":[36],"use":[37],"vulgar":[39],"language,":[40],"memes,":[41],"unorthodox":[43],"strategies.":[45],"While":[46],"previous":[47],"research":[48],"explored":[50],"terms":[54],"language":[56],"social":[58],"dynamics,":[59],"this":[60],"work":[61],"sheds":[62],"light":[63],"on":[64,74,122,168,193,214],"extraction":[66],"predictive":[68,166],"value":[69],"from":[70],"advice":[72],"shared":[73],"WSB":[75,151,194],"to":[76],"investigate":[77,114],"Reddit\u2019s":[78],"collective":[79,217],"intelligence.":[80],"We":[81,186],"evaluate":[82],"more":[83],"than":[84],"1.6":[85],"million":[86],"posts":[87],"contributed":[88],"over":[89],"4.5":[90],"years,":[91],"extracting":[92],"thousands":[93],"recommendations,":[96],"which":[97],"are":[98],"matched":[99],"benchmarked":[101],"with":[102],"corresponding":[103],"stock":[104,156,169],"market":[105,128,157,170],"data.":[106],"To":[107],"analyse":[108],"assess":[110],"their":[111,120,132],"value,":[112],"we":[113,143],"multiple":[115,123],"machine":[116],"learning":[117],"models,":[118],"evaluating":[119],"effectiveness":[121],"time":[124],"windows":[125],"under":[126],"different":[127],"conditions,":[129],"exploring":[131],"latent":[133],"spaces.":[134],"When":[135],"predicting":[136],"success":[138],"new":[141],"post,":[142],"view":[144],"it":[145],"within":[146],"context":[148],"community\u2019s":[152],"discussions":[153],"data":[158,171],"same":[161],"day.":[162],"Our":[163,209],"best":[164],"model\u2019s":[165],"performance":[167],"outperforms":[172],"S&P":[174],"500":[175],"index":[176],"other":[178],"traditional":[179],"strategies":[181],"by":[182],"significant":[184],"margin.":[185],"conclude":[187],"that":[188],"amateur":[189],"retail":[190],"traders":[191],"posting":[192],"can":[195,222],"act":[196],"an":[198],"intelligent":[199],"crowd":[200],"constitute":[202],"valuable":[204],"advice.":[208],"findings":[210],"yield":[211],"generalizable":[212],"insights":[213],"how":[215],"intelligence":[218],"online":[220],"communities":[221],"be":[223],"extracted":[224],"utilized.":[226]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}