{"id":"https://openalex.org/W4385331855","doi":"https://doi.org/10.1140/epjds/s13688-023-00405-6","title":"Quantifying participation biases on social media","display_name":"Quantifying participation biases on social media","publication_year":2023,"publication_date":"2023-07-28","ids":{"openalex":"https://openalex.org/W4385331855","doi":"https://doi.org/10.1140/epjds/s13688-023-00405-6"},"language":"en","primary_location":{"id":"doi:10.1140/epjds/s13688-023-00405-6","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-023-00405-6","pdf_url":"https://epjdatascience.springeropen.com/counter/pdf/10.1140/epjds/s13688-023-00405-6","source":{"id":"https://openalex.org/S2504380752","display_name":"EPJ Data Science","issn_l":"2193-1127","issn":["2193-1127"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPJ Data Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://epjdatascience.springeropen.com/counter/pdf/10.1140/epjds/s13688-023-00405-6","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055129683","display_name":"Neeti Pokhriyal","orcid":"https://orcid.org/0000-0001-9410-7084"},"institutions":[{"id":"https://openalex.org/I107672454","display_name":"Dartmouth College","ror":"https://ror.org/049s0rh22","country_code":"US","type":"education","lineage":["https://openalex.org/I107672454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Neeti Pokhriyal","raw_affiliation_strings":["Department of Computer Science, Dartmouth College, Hanover, NH, USA"],"raw_orcid":"https://orcid.org/0000-0001-9410-7084","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Dartmouth College, Hanover, NH, USA","institution_ids":["https://openalex.org/I107672454"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081003257","display_name":"Benjamin Valentino","orcid":"https://orcid.org/0000-0002-9393-9687"},"institutions":[{"id":"https://openalex.org/I107672454","display_name":"Dartmouth College","ror":"https://ror.org/049s0rh22","country_code":"US","type":"education","lineage":["https://openalex.org/I107672454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Benjamin A. Valentino","raw_affiliation_strings":["Department of Government, Dartmouth College, Hanover, NH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Government, Dartmouth College, Hanover, NH, USA","institution_ids":["https://openalex.org/I107672454"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035399743","display_name":"Soroush Vosoughi","orcid":"https://orcid.org/0000-0002-2564-8909"},"institutions":[{"id":"https://openalex.org/I107672454","display_name":"Dartmouth College","ror":"https://ror.org/049s0rh22","country_code":"US","type":"education","lineage":["https://openalex.org/I107672454"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Soroush Vosoughi","raw_affiliation_strings":["Department of Computer Science, Dartmouth College, Hanover, NH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Dartmouth College, Hanover, NH, USA","institution_ids":["https://openalex.org/I107672454"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5035399743"],"corresponding_institution_ids":["https://openalex.org/I107672454"],"apc_list":{"value":1190,"currency":"GBP","value_usd":1459},"apc_paid":{"value":1190,"currency":"GBP","value_usd":1459},"fwci":6.9927,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.97251925,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"12","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10557","display_name":"Social Media and Politics","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/3315","display_name":"Communication"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10557","display_name":"Social Media and Politics","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/3315","display_name":"Communication"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13718","display_name":"Media Influence and Politics","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/demographics","display_name":"Demographics","score":0.6934125423431396},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.661096453666687},{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.6570069193840027},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4947461783885956},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.4920942187309265},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4821738600730896},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4707544445991516},{"id":"https://openalex.org/keywords/selection-bias","display_name":"Selection bias","score":0.44974803924560547},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4161924123764038},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.3825725317001343},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3784552812576294},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3601008951663971},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.30594414472579956},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24304822087287903},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.2382061779499054},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.22152265906333923},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19124048948287964},{"id":"https://openalex.org/keywords/demography","display_name":"Demography","score":0.15438273549079895}],"concepts":[{"id":"https://openalex.org/C2780084366","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demographics","level":2,"score":0.6934125423431396},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.661096453666687},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.6570069193840027},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4947461783885956},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.4920942187309265},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4821738600730896},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4707544445991516},{"id":"https://openalex.org/C40423286","wikidata":"https://www.wikidata.org/wiki/Q284172","display_name":"Selection bias","level":2,"score":0.44974803924560547},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4161924123764038},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.3825725317001343},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3784552812576294},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3601008951663971},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.30594414472579956},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24304822087287903},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.2382061779499054},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.22152265906333923},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19124048948287964},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.15438273549079895},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1140/epjds/s13688-023-00405-6","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-023-00405-6","pdf_url":"https://epjdatascience.springeropen.com/counter/pdf/10.1140/epjds/s13688-023-00405-6","source":{"id":"https://openalex.org/S2504380752","display_name":"EPJ Data Science","issn_l":"2193-1127","issn":["2193-1127"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPJ Data Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0425af6c29e149eea6a74c31a83bb7a9","is_oa":true,"landing_page_url":"https://doaj.org/article/0425af6c29e149eea6a74c31a83bb7a9","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EPJ Data Science, Vol 12, Iss 1, Pp 1-20 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1140/epjds/s13688-023-00405-6","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-023-00405-6","pdf_url":"https://epjdatascience.springeropen.com/counter/pdf/10.1140/epjds/s13688-023-00405-6","source":{"id":"https://openalex.org/S2504380752","display_name":"EPJ Data Science","issn_l":"2193-1127","issn":["2193-1127"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPJ Data Science","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4385331855.pdf"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W199749264","https://openalex.org/W1502957213","https://openalex.org/W1774367728","https://openalex.org/W2014908010","https://openalex.org/W2015731569","https://openalex.org/W2069516633","https://openalex.org/W2073979932","https://openalex.org/W2105602542","https://openalex.org/W2145773944","https://openalex.org/W2154321364","https://openalex.org/W2161834943","https://openalex.org/W2607303097","https://openalex.org/W2612301670","https://openalex.org/W2740751204","https://openalex.org/W2741616044","https://openalex.org/W2764332164","https://openalex.org/W2804927761","https://openalex.org/W2885312348","https://openalex.org/W2889127731","https://openalex.org/W2892030522","https://openalex.org/W2911735741","https://openalex.org/W2913649461","https://openalex.org/W2950859079","https://openalex.org/W2952375801","https://openalex.org/W2966348560","https://openalex.org/W2979250643","https://openalex.org/W2994256042","https://openalex.org/W2999823319","https://openalex.org/W3004542466","https://openalex.org/W3004975108","https://openalex.org/W3037584127","https://openalex.org/W3082093598","https://openalex.org/W3098124506","https://openalex.org/W3110882189","https://openalex.org/W3122731653","https://openalex.org/W3164247010","https://openalex.org/W3189315519","https://openalex.org/W3197815293","https://openalex.org/W3203064565","https://openalex.org/W4206125442","https://openalex.org/W4212937970","https://openalex.org/W4281711907","https://openalex.org/W4303105513","https://openalex.org/W4367046362"],"related_works":["https://openalex.org/W2931688134","https://openalex.org/W2377919138","https://openalex.org/W2378857091","https://openalex.org/W4256502920","https://openalex.org/W103652678","https://openalex.org/W2999756192","https://openalex.org/W4226090359","https://openalex.org/W4382701072","https://openalex.org/W2392768766","https://openalex.org/W2058118494"],"abstract_inverted_index":{"Abstract":[0],"Around":[1],"seven-in-ten":[2],"Americans":[3],"use":[4,206,288],"social":[5,28],"media":[6],"(SM)":[7],"to":[8,19,27,112,118,186,197,213,246,252,278,287],"connect":[9],"and":[10,23,141,173,191,228,236,243,274,293],"engage,":[11],"making":[12],"these":[13],"platforms":[14,190],"excellent":[15],"sources":[16],"of":[17,33,56,67,78,83,107,114,121,147,195,220,241,255,261],"information":[18,163],"understand":[20],"human":[21],"behavior":[22,35,48],"other":[24,174],"problems":[25],"relevant":[26],"sciences.":[29],"While":[30],"the":[31,47,52,76,102,105,108,115,119,122,128,145,165,199,218,253,259,265,285,301,319],"presence":[32,77,254],"a":[34,79,133,183,192,210],"can":[36],"be":[37],"detected,":[38],"it":[39],"is":[40,93,99,155],"unclear":[41],"who":[42,110],"or":[43],"under":[44],"what":[45],"circumstances":[46],"was":[49],"generated.":[50],"Despite":[51],"large":[53],"sample":[54],"sizes":[55],"SM":[57,86,124,142,189,306],"datasets,":[58],"they":[59],"almost":[60],"always":[61],"come":[62],"with":[63,268],"significant":[64],"biases,":[65],"some":[66],"which":[68],"have":[69],"been":[70],"studied":[71],"before.":[72],"Here,":[73],"we":[74,131,297,311],"hypothesize":[75],"largely":[80],"unrecognized":[81],"form":[82],"bias":[84,90,216,257],"on":[85,217,258],"platforms,":[87],"called":[88],"participation":[89,215,256],",":[91],"that":[92,138,160,283],"distinct":[94,156],"from":[95,157],"selection":[96],"bias.":[97],"It":[98],"defined":[100],"as":[101,209],"skew":[103],"in":[104,202,264,284,304],"demographics":[106,120],"participants":[109],"opt-in":[111],"discussions":[113],"topic,":[116],"compared":[117,277],"underlying":[123],"platform.":[125],"To":[126],"infer":[127],"participant\u2019s":[129],"demographics,":[130],"propose":[132],"novel":[134],"generative":[135],"probabilistic":[136],"framework":[137],"links":[139],"surveys":[140],"data":[143,208,290,307],"at":[144,164,315],"granularity":[146],"demographic":[148],"subgroups":[149],"(and":[150],"not":[151],"individuals).":[152],"Our":[153,280],"method":[154],"existing":[158],"approaches":[159],"elicit":[161],"such":[162],"individual":[166],"level":[167],"using":[168],"their":[169,179],"profile":[170],"name,":[171],"images,":[172],"metadata,":[175],"thus":[176],"infringing":[177],"upon":[178],"privacy.":[180],"We":[181,205],"design":[182],"statistical":[184],"simulation":[185],"simulate":[187],"multiple":[188],"diverse":[193],"range":[194],"topics":[196],"validate":[198],"model\u2019s":[200,249],"estimates":[201,250],"different":[203],"scenarios.":[204],"Twitter":[207],"case":[211],"study":[212,281],"demonstrate":[214],"topic":[219,260],"gun":[221,262],"violence":[222],"delineated":[223],"by":[224],"political":[225],"party":[226],"affiliation":[227],"gender.":[229],"Although":[230],"Twitter\u2019s":[231],"user":[232],"population":[233],"leans":[234],"Democratic":[235],"has":[237],"an":[238],"equal":[239],"number":[240],"men":[242,276],"women":[244],"according":[245],"Pew,":[247],"our":[248],"point":[251],"control":[263],"opposite":[266],"direction,":[267],"slightly":[269],"more":[270,275],"Republicans":[271],"than":[272],"Democrats,":[273],"women.":[279],"cautions":[282],"rush":[286],"digital":[289],"for":[291,300],"decision-making":[292],"understanding":[294],"public":[295],"opinions,":[296],"must":[298],"account":[299],"biases":[302],"inherent":[303],"how":[305],"are":[308],"produced,":[309],"lest":[310],"may":[312],"also":[313],"arrive":[314],"biased":[316],"inferences":[317],"about":[318],"public.":[320]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-18T07:39:51.176621","created_date":"2025-10-10T00:00:00"}