{"id":"https://openalex.org/W4387846618","doi":"https://doi.org/10.1145/3583780.3614790","title":"Beyond Trading Data: The Hidden Influence of Public Awareness and Interest on Cryptocurrency Volatility","display_name":"Beyond Trading Data: The Hidden Influence of Public Awareness and Interest on Cryptocurrency Volatility","publication_year":2023,"publication_date":"2023-10-21","ids":{"openalex":"https://openalex.org/W4387846618","doi":"https://doi.org/10.1145/3583780.3614790"},"language":"en","primary_location":{"id":"doi:10.1145/3583780.3614790","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3583780.3614790","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3583780.3614790","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":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3583780.3614790","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052763223","display_name":"Zeyd Boukhers","orcid":"https://orcid.org/0000-0001-9778-9164"},"institutions":[{"id":"https://openalex.org/I4210110507","display_name":"Fraunhofer Institute for Applied Information Technology","ror":"https://ror.org/01ak24c12","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210110507","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Zeyd Boukhers","raw_affiliation_strings":["Fraunhofer Institute for Applied Information Technology, Sankt Augustin, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Applied Information Technology, Sankt Augustin, Germany","institution_ids":["https://openalex.org/I4210110507"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011042818","display_name":"Azeddine Bouabdallah","orcid":"https://orcid.org/0009-0003-4413-0042"},"institutions":[{"id":"https://openalex.org/I16264642","display_name":"Koblenz University of Applied Sciences","ror":"https://ror.org/04j351e79","country_code":"DE","type":"education","lineage":["https://openalex.org/I16264642"]},{"id":"https://openalex.org/I4387153937","display_name":"Universit\u00e4t Koblenz","ror":"https://ror.org/0433e6t24","country_code":null,"type":"education","lineage":["https://openalex.org/I4387153937"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Azeddine Bouabdallah","raw_affiliation_strings":["University of Koblenz, Koblenz, Germany"],"affiliations":[{"raw_affiliation_string":"University of Koblenz, Koblenz, Germany","institution_ids":["https://openalex.org/I16264642","https://openalex.org/I4387153937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037082005","display_name":"Cong Yang","orcid":"https://orcid.org/0000-0002-8314-0935"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cong Yang","raw_affiliation_strings":["Soochow University, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029120753","display_name":"Jan J\u00fcrjens","orcid":"https://orcid.org/0000-0002-8938-0470"},"institutions":[{"id":"https://openalex.org/I16264642","display_name":"Koblenz University of Applied Sciences","ror":"https://ror.org/04j351e79","country_code":"DE","type":"education","lineage":["https://openalex.org/I16264642"]},{"id":"https://openalex.org/I4387153937","display_name":"Universit\u00e4t Koblenz","ror":"https://ror.org/0433e6t24","country_code":null,"type":"education","lineage":["https://openalex.org/I4387153937"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jan J\u00fcrjens","raw_affiliation_strings":["University of Koblenz, Koblenz, Germany"],"affiliations":[{"raw_affiliation_string":"University of Koblenz, Koblenz, Germany","institution_ids":["https://openalex.org/I16264642","https://openalex.org/I4387153937"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5052763223"],"corresponding_institution_ids":["https://openalex.org/I4210110507"],"apc_list":null,"apc_paid":null,"fwci":0.7526,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.75443871,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"142","last_page":"151"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9994000196456909,"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":0.9994000196456909,"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/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9991999864578247,"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"}},{"id":"https://openalex.org/T11059","display_name":"Market Dynamics and Volatility","score":0.9980999827384949,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cryptocurrency","display_name":"Cryptocurrency","score":0.945590615272522},{"id":"https://openalex.org/keywords/volatility","display_name":"Volatility (finance)","score":0.6952927708625793},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6002281904220581},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.5688120722770691},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.5314705967903137},{"id":"https://openalex.org/keywords/exchange-rate","display_name":"Exchange rate","score":0.5004308223724365},{"id":"https://openalex.org/keywords/currency","display_name":"Currency","score":0.45695072412490845},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4260886013507843},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.38488417863845825},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3044169545173645},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.26473838090896606},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.23619332909584045},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.1704045534133911},{"id":"https://openalex.org/keywords/monetary-economics","display_name":"Monetary economics","score":0.1590423285961151},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.14494222402572632}],"concepts":[{"id":"https://openalex.org/C180706569","wikidata":"https://www.wikidata.org/wiki/Q13479982","display_name":"Cryptocurrency","level":2,"score":0.945590615272522},{"id":"https://openalex.org/C91602232","wikidata":"https://www.wikidata.org/wiki/Q756115","display_name":"Volatility (finance)","level":2,"score":0.6952927708625793},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6002281904220581},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.5688120722770691},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.5314705967903137},{"id":"https://openalex.org/C2776988154","wikidata":"https://www.wikidata.org/wiki/Q66100","display_name":"Exchange rate","level":2,"score":0.5004308223724365},{"id":"https://openalex.org/C141121606","wikidata":"https://www.wikidata.org/wiki/Q8142","display_name":"Currency","level":2,"score":0.45695072412490845},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4260886013507843},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.38488417863845825},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3044169545173645},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.26473838090896606},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.23619332909584045},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.1704045534133911},{"id":"https://openalex.org/C556758197","wikidata":"https://www.wikidata.org/wiki/Q580018","display_name":"Monetary economics","level":1,"score":0.1590423285961151},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.14494222402572632},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3583780.3614790","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3583780.3614790","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3583780.3614790","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":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:RePEc:arx:papers:2202.08967","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"preprint"},{"id":"pmh:oai:publica.fraunhofer.de:publica/463974","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/463974","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"}],"best_oa_location":{"id":"doi:10.1145/3583780.3614790","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3583780.3614790","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3583780.3614790","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":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.46000000834465027,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387846618.pdf","grobid_xml":"https://content.openalex.org/works/W4387846618.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1516184288","https://openalex.org/W1983857060","https://openalex.org/W2099813784","https://openalex.org/W2162338668","https://openalex.org/W2171468534","https://openalex.org/W2250886571","https://openalex.org/W2315662153","https://openalex.org/W2513607014","https://openalex.org/W2732971366","https://openalex.org/W2774513877","https://openalex.org/W2775379762","https://openalex.org/W2783629690","https://openalex.org/W2798413829","https://openalex.org/W2907275872","https://openalex.org/W2946073460","https://openalex.org/W2965446444","https://openalex.org/W2966373834","https://openalex.org/W2993491036","https://openalex.org/W3003395231","https://openalex.org/W3022367143","https://openalex.org/W3028847668","https://openalex.org/W3032995192","https://openalex.org/W3040379296","https://openalex.org/W3122136669","https://openalex.org/W3124273057","https://openalex.org/W3163083831","https://openalex.org/W3170058287","https://openalex.org/W3170487013","https://openalex.org/W4242210237","https://openalex.org/W4310854225"],"related_works":["https://openalex.org/W4366411693","https://openalex.org/W3211641817","https://openalex.org/W3164717803","https://openalex.org/W4389915954","https://openalex.org/W3123387860","https://openalex.org/W4291291739","https://openalex.org/W2915579847","https://openalex.org/W3110645133","https://openalex.org/W4321377877","https://openalex.org/W4394604524"],"abstract_inverted_index":{"Since":[0],"Bitcoin":[1],"first":[2],"appeared":[3],"on":[4,139,168],"the":[5,33,38,48,54,106,131,162],"scene":[6],"in":[7,105],"2009,":[8],"cryptocurrencies":[9],"have":[10,119],"become":[11],"a":[12,65,99,156],"worldwide":[13],"phenomenon":[14],"as":[15],"important":[16],"decentralized":[17,21],"financial":[18],"assets.":[19],"Their":[20],"nature,":[22],"however,":[23],"leads":[24],"to":[25,123],"notable":[26],"volatility":[27],"against":[28],"traditional":[29],"fiat":[30],"currencies,":[31],"making":[32],"task":[34],"of":[35,133,164],"accurately":[36],"forecasting":[37,151],"crypto-fiat":[39],"exchange":[40,56],"rate":[41],"complex.":[42],"In":[43],"this":[44,60,121],"study,":[45],"we":[46,62],"examine":[47],"various":[49],"independent":[50,166],"factors":[51,167],"that":[52,145],"affect":[53],"Bitcoin-Dollar":[55],"rate's":[57],"volatility.":[58,170],"To":[59],"end,":[61],"propose":[63],"CoMForE,":[64],"multimodal":[66,134],"AdaBoost-LSTM":[67],"ensemble":[68],"model,":[69],"which":[70],"not":[71],"only":[72],"utilizes":[73],"historical":[74],"trading":[75,140],"data":[76],"but":[77],"also":[78],"incorporates":[79],"public":[80,85],"sentiments":[81],"from":[82],"related":[83],"tweets,":[84],"interest":[86],"demonstrated":[87],"by":[88,102],"search":[89],"volumes,":[90],"and":[91,153],"blockchain":[92],"hash-rate":[93],"data.":[94,141],"Our":[95],"developed":[96],"model":[97],"goes":[98],"step":[100],"further":[101],"predicting":[103],"fluctuations":[104],"overall":[107],"cryptocurrency":[108,169],"value":[109,114],"distribution,":[110],"thus":[111],"increasing":[112],"its":[113],"for":[115],"investment":[116],"decision-making.":[117],"We":[118],"subjected":[120],"method":[122,147],"extensive":[124],"testing":[125],"via":[126],"comprehensive":[127],"experiments,":[128],"thereby":[129],"validating":[130],"importance":[132],"combination":[135],"over":[136],"exclusive":[137],"reliance":[138],"Further":[142],"experiments":[143],"show":[144],"our":[146],"significantly":[148],"surpasses":[149],"existing":[150],"tools":[152],"methodologies,":[154],"demonstrating":[155],"19.29%":[157],"improvement.":[158],"This":[159],"result":[160],"underscores":[161],"influence":[163],"external":[165]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}