{"id":"https://openalex.org/W4387628948","doi":"https://doi.org/10.1145/3582269.3615598","title":"Understanding (Ir)rational Herding Online","display_name":"Understanding (Ir)rational Herding Online","publication_year":2023,"publication_date":"2023-10-13","ids":{"openalex":"https://openalex.org/W4387628948","doi":"https://doi.org/10.1145/3582269.3615598"},"language":"en","primary_location":{"id":"doi:10.1145/3582269.3615598","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3582269.3615598","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3582269.3615598","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of The ACM Collective Intelligence Conference","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/10.1145/3582269.3615598","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011006214","display_name":"Henry K. Dambanemuya","orcid":"https://orcid.org/0000-0002-1358-4215"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Henry Kudzanai Dambanemuya","raw_affiliation_strings":["Computer Science, Communication Studies, Northwestern University, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science, Communication Studies, Northwestern University, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070274437","display_name":"Johannes Wachs","orcid":"https://orcid.org/0000-0002-9044-2018"},"institutions":[{"id":"https://openalex.org/I163245316","display_name":"Corvinus University of Budapest","ror":"https://ror.org/01vxfm326","country_code":"HU","type":"education","lineage":["https://openalex.org/I163245316"]},{"id":"https://openalex.org/I4210155320","display_name":"ELTE Centre for Economic and Regional Studies","ror":"https://ror.org/051ea1411","country_code":"HU","type":"facility","lineage":["https://openalex.org/I106118109","https://openalex.org/I4210155320"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Johannes Wachs","raw_affiliation_strings":["Corvinus University of Budapest, Hungary and Centre for Economic and Regional Studies, Hungary"],"affiliations":[{"raw_affiliation_string":"Corvinus University of Budapest, Hungary and Centre for Economic and Regional Studies, Hungary","institution_ids":["https://openalex.org/I4210155320","https://openalex.org/I163245316"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004566032","display_name":"Em\u0151ke-\u00c1gnes Horv\u00e1t","orcid":"https://orcid.org/0000-0001-7709-1172"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Em\u0151ke-\u00c1gnes Horvat","raw_affiliation_strings":["Northwestern University, USA"],"affiliations":[{"raw_affiliation_string":"Northwestern University, USA","institution_ids":["https://openalex.org/I111979921"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5011006214"],"corresponding_institution_ids":["https://openalex.org/I111979921"],"apc_list":null,"apc_paid":null,"fwci":1.5891,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.86118206,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"79","last_page":"88"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11995","display_name":"FinTech, Crowdfunding, Digital Finance","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11995","display_name":"FinTech, Crowdfunding, Digital Finance","score":0.9998999834060669,"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/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9664000272750854,"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/T11903","display_name":"Private Equity and Venture Capital","score":0.9532999992370605,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/herding","display_name":"Herding","score":0.9739459753036499},{"id":"https://openalex.org/keywords/herd-behavior","display_name":"Herd behavior","score":0.7975261211395264},{"id":"https://openalex.org/keywords/loan","display_name":"Loan","score":0.48870447278022766},{"id":"https://openalex.org/keywords/irrational-number","display_name":"Irrational number","score":0.4822862446308136},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.46754804253578186},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.38963568210601807},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.34272533655166626},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.3303176164627075},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.15784484148025513},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1046968400478363}],"concepts":[{"id":"https://openalex.org/C177605951","wikidata":"https://www.wikidata.org/wiki/Q1484503","display_name":"Herding","level":2,"score":0.9739459753036499},{"id":"https://openalex.org/C102235558","wikidata":"https://www.wikidata.org/wiki/Q1609678","display_name":"Herd behavior","level":3,"score":0.7975261211395264},{"id":"https://openalex.org/C2777764128","wikidata":"https://www.wikidata.org/wiki/Q189539","display_name":"Loan","level":2,"score":0.48870447278022766},{"id":"https://openalex.org/C94931360","wikidata":"https://www.wikidata.org/wiki/Q607728","display_name":"Irrational number","level":2,"score":0.4822862446308136},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.46754804253578186},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38963568210601807},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.34272533655166626},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.3303176164627075},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.15784484148025513},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1046968400478363},{"id":"https://openalex.org/C97137747","wikidata":"https://www.wikidata.org/wiki/Q38112","display_name":"Forestry","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3582269.3615598","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3582269.3615598","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3582269.3615598","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of The ACM Collective Intelligence Conference","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3582269.3615598","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3582269.3615598","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3582269.3615598","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of The ACM Collective Intelligence Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6399999856948853,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G1891138810","display_name":"CRII: CHS: Early Detection of Collective Misconceptions with Network-aware Machine Learning Tools","funder_award_id":"1755873","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2396389402","display_name":null,"funder_award_id":"IIS-1755873","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G625726499","display_name":null,"funder_award_id":"IIS-1943506","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6959465136","display_name":null,"funder_award_id":"IIS-175587","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387628948.pdf","grobid_xml":"https://content.openalex.org/works/W4387628948.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W1554960070","https://openalex.org/W1836875240","https://openalex.org/W1908330135","https://openalex.org/W1973253288","https://openalex.org/W1976992392","https://openalex.org/W1977270613","https://openalex.org/W1980573833","https://openalex.org/W1983623594","https://openalex.org/W1993754114","https://openalex.org/W2059345393","https://openalex.org/W2060164253","https://openalex.org/W2061204582","https://openalex.org/W2096365673","https://openalex.org/W2097141357","https://openalex.org/W2130381028","https://openalex.org/W2140950724","https://openalex.org/W2144540821","https://openalex.org/W2154478757","https://openalex.org/W2158392329","https://openalex.org/W2164780059","https://openalex.org/W2291682920","https://openalex.org/W2409848655","https://openalex.org/W2477956271","https://openalex.org/W2483162502","https://openalex.org/W2565284482","https://openalex.org/W2565740918","https://openalex.org/W2625771436","https://openalex.org/W2783218188","https://openalex.org/W2809432339","https://openalex.org/W2913819806","https://openalex.org/W2940087806","https://openalex.org/W2944938587","https://openalex.org/W2954005658","https://openalex.org/W2954921371","https://openalex.org/W2979623311","https://openalex.org/W3023327873","https://openalex.org/W3032932651","https://openalex.org/W3040800552","https://openalex.org/W3120573025","https://openalex.org/W3121716941","https://openalex.org/W3122338966","https://openalex.org/W3123031510","https://openalex.org/W3124284538","https://openalex.org/W3124621104","https://openalex.org/W3125393355","https://openalex.org/W3125425200","https://openalex.org/W3159574847","https://openalex.org/W4254083884","https://openalex.org/W4256232447","https://openalex.org/W4367047349"],"related_works":["https://openalex.org/W2391294282","https://openalex.org/W3009415710","https://openalex.org/W2724416953","https://openalex.org/W2380891893","https://openalex.org/W3124945637","https://openalex.org/W2364704484","https://openalex.org/W1489293997","https://openalex.org/W3125654515","https://openalex.org/W3122268801","https://openalex.org/W3035577688"],"abstract_inverted_index":{"Investigations":[0],"of":[1,37,74,95,97,113,137,195,199,217],"social":[2],"influence":[3],"in":[4,19,115,121,156],"collective":[5,140,210],"decision-making":[6,33,220],"have":[7],"become":[8],"possible":[9],"due":[10],"to":[11,55,118,129],"recent":[12],"technologies":[13],"and":[14,29,40,87,165,205],"platforms":[15],"that":[16,48,145,187],"record":[17],"interactions":[18],"much":[20],"larger":[21],"groups":[22],"than":[23],"could":[24],"be":[25],"studied":[26],"before.":[27],"Herding":[28],"its":[30],"impact":[31,136],"on":[32,58,93,139,171,214],"are":[34],"critical":[35],"areas":[36],"practical":[38],"interest":[39],"research":[41],"study.":[42],"However,":[43],"despite":[44],"theoretical":[45],"work":[46],"suggesting":[47],"it":[49],"matters":[50],"whether":[51,64,153],"individuals":[52],"choose":[53],"who":[54],"imitate":[56],"based":[57,213],"cues":[59],"such":[60],"as":[61],"experience":[62],"or":[63,158],"they":[65],"herd":[66],"at":[67],"random,":[68],"there":[69],"is":[70,148,183],"little":[71],"empirical":[72,111],"analysis":[73],"this":[75,196],"distinction.":[76],"To":[77],"demonstrate":[78],"the":[79,83,135,161,166,172,193],"distinction":[80],"between":[81,163],"what":[82],"literature":[84],"calls":[85],"\u201crational\u201d":[86],"\u201cirrational\u201d":[88],"herding,":[89],"we":[90,108,124,133],"use":[91],"data":[92],"tens":[94],"thousands":[96],"loans":[98,186],"from":[99],"a":[100,126,215],"well-established":[101],"online":[102],"peer-to-peer":[103],"(p2p)":[104],"lending":[105],"platform.":[106],"First,":[107],"employ":[109],"an":[110],"measure":[112],"memory":[114],"complex":[116],"systems":[117],"quantify":[119],"herding":[120,138,157,164,179,200],"lending.":[122],"Then,":[123],"illustrate":[125],"network-based":[127],"approach":[128],"visualize":[130],"herding.":[131],"Finally,":[132],"model":[134],"outcomes.":[141,176],"Our":[142,207],"study":[143,208],"reveals":[144],"loan":[146,175],"performance":[147],"not":[149,189],"solely":[150],"determined":[151],"by":[152],"lenders":[154,182],"engage":[155],"not.":[159],"Instead,":[160],"interplay":[162],"imitated":[167],"lenders\u2019":[168],"prior":[169],"success":[170],"platform":[173,202],"predicts":[174],"In":[177],"short,":[178],"around":[180],"expert":[181],"associated":[184],"with":[185],"do":[188],"default.":[190],"We":[191],"discuss":[192],"implications":[194],"under-explored":[197],"aspect":[198],"for":[201],"designers,":[203],"borrowers,":[204],"lenders.":[206],"advances":[209],"intelligence":[211],"theories":[212],"case":[216],"high-stakes":[218],"group":[219],"online.":[221]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
