{"id":"https://openalex.org/W4392167714","doi":"https://doi.org/10.1186/s40537-024-00894-w","title":"The adaptive community-response (ACR) method for collecting misinformation on social media","display_name":"The adaptive community-response (ACR) method for collecting misinformation on social media","publication_year":2024,"publication_date":"2024-02-24","ids":{"openalex":"https://openalex.org/W4392167714","doi":"https://doi.org/10.1186/s40537-024-00894-w"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-024-00894-w","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-024-00894-w","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-024-00894-w","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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":"Journal of Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-024-00894-w","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029757222","display_name":"Julian Kauk","orcid":"https://orcid.org/0000-0003-4016-5662"},"institutions":[{"id":"https://openalex.org/I76198965","display_name":"Friedrich Schiller University Jena","ror":"https://ror.org/05qpz1x62","country_code":"DE","type":"education","lineage":["https://openalex.org/I76198965"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Julian Kauk","raw_affiliation_strings":["Department of General Psychology and Cognitive Neuroscience, Friedrich Schiller University Jena, Am Steiger 3/1, 07743, Jena, Thuringia, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of General Psychology and Cognitive Neuroscience, Friedrich Schiller University Jena, Am Steiger 3/1, 07743, Jena, Thuringia, Germany","institution_ids":["https://openalex.org/I76198965"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048315410","display_name":"Helene Kreysa","orcid":"https://orcid.org/0000-0001-7163-7023"},"institutions":[{"id":"https://openalex.org/I76198965","display_name":"Friedrich Schiller University Jena","ror":"https://ror.org/05qpz1x62","country_code":"DE","type":"education","lineage":["https://openalex.org/I76198965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Helene Kreysa","raw_affiliation_strings":["Department of General Psychology and Cognitive Neuroscience, Friedrich Schiller University Jena, Am Steiger 3/1, 07743, Jena, Thuringia, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of General Psychology and Cognitive Neuroscience, Friedrich Schiller University Jena, Am Steiger 3/1, 07743, Jena, Thuringia, Germany","institution_ids":["https://openalex.org/I76198965"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000830406","display_name":"Andr\u00e9 Scherag","orcid":"https://orcid.org/0000-0002-9406-4704"},"institutions":[{"id":"https://openalex.org/I4210134900","display_name":"Jena University Hospital","ror":"https://ror.org/035rzkx15","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I4210134900"]},{"id":"https://openalex.org/I76198965","display_name":"Friedrich Schiller University Jena","ror":"https://ror.org/05qpz1x62","country_code":"DE","type":"education","lineage":["https://openalex.org/I76198965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andr\u00e9 Scherag","raw_affiliation_strings":["Institute of Medical Statistics, Computer and Data Sciences, Jena University Hospital, Bachstra\u00dfe 18, Haus 1, 07743, Jena, Thuringia, Germany","Michael Stifel Center Jena for Data-Driven and Simulation Science, Leutragraben 1, 07743, Jena, Thuringia, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Medical Statistics, Computer and Data Sciences, Jena University Hospital, Bachstra\u00dfe 18, Haus 1, 07743, Jena, Thuringia, Germany","institution_ids":["https://openalex.org/I4210134900"]},{"raw_affiliation_string":"Michael Stifel Center Jena for Data-Driven and Simulation Science, Leutragraben 1, 07743, Jena, Thuringia, Germany","institution_ids":["https://openalex.org/I76198965"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064995042","display_name":"Stefan R. Schweinberger","orcid":"https://orcid.org/0000-0001-5762-0188"},"institutions":[{"id":"https://openalex.org/I76198965","display_name":"Friedrich Schiller University Jena","ror":"https://ror.org/05qpz1x62","country_code":"DE","type":"education","lineage":["https://openalex.org/I76198965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stefan R. Schweinberger","raw_affiliation_strings":["Department of General Psychology and Cognitive Neuroscience, Friedrich Schiller University Jena, Am Steiger 3/1, 07743, Jena, Thuringia, Germany","German Center for Mental Health (DZPG), Site Jena-Magdeburg-Halle, Philosophenweg 3, 07743, Jena, Thuringia, Germany","Michael Stifel Center Jena for Data-Driven and Simulation Science, Leutragraben 1, 07743, Jena, Thuringia, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of General Psychology and Cognitive Neuroscience, Friedrich Schiller University Jena, Am Steiger 3/1, 07743, Jena, Thuringia, Germany","institution_ids":["https://openalex.org/I76198965"]},{"raw_affiliation_string":"German Center for Mental Health (DZPG), Site Jena-Magdeburg-Halle, Philosophenweg 3, 07743, Jena, Thuringia, Germany","institution_ids":["https://openalex.org/I76198965"]},{"raw_affiliation_string":"Michael Stifel Center Jena for Data-Driven and Simulation Science, Leutragraben 1, 07743, Jena, Thuringia, Germany","institution_ids":["https://openalex.org/I76198965"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5029757222"],"corresponding_institution_ids":["https://openalex.org/I76198965"],"apc_list":{"value":1060,"currency":"GBP","value_usd":1300},"apc_paid":{"value":1060,"currency":"GBP","value_usd":1300},"fwci":6.1347,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.95636921,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"11","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9998999834060669,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.978600025177002,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/misinformation","display_name":"Misinformation","score":0.9019445776939392},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7770212292671204},{"id":"https://openalex.org/keywords/computational-science-and-engineering","display_name":"Computational Science and Engineering","score":0.7626209259033203},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.7186610698699951},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.39909878373146057},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2663630545139313},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2573038935661316},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.11071786284446716}],"concepts":[{"id":"https://openalex.org/C2776990098","wikidata":"https://www.wikidata.org/wiki/Q13579947","display_name":"Misinformation","level":2,"score":0.9019445776939392},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7770212292671204},{"id":"https://openalex.org/C68597687","wikidata":"https://www.wikidata.org/wiki/Q362601","display_name":"Computational Science and Engineering","level":2,"score":0.7626209259033203},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.7186610698699951},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.39909878373146057},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2663630545139313},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2573038935661316},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.11071786284446716}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s40537-024-00894-w","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-024-00894-w","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-024-00894-w","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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":"Journal of Big Data","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7b6986fef9124092b680e20ea15a7357","is_oa":true,"landing_page_url":"https://doaj.org/article/7b6986fef9124092b680e20ea15a7357","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":"Journal of Big Data, Vol 11, Iss 1, Pp 1-32 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s40537-024-00894-w","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-024-00894-w","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-024-00894-w","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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":"Journal of Big Data","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320313941","display_name":"Friedrich-Schiller-Universit\u00e4t Jena","ror":"https://ror.org/05qpz1x62"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4392167714.pdf"},"referenced_works_count":63,"referenced_works":["https://openalex.org/W79139011","https://openalex.org/W1814500939","https://openalex.org/W1964803690","https://openalex.org/W1996665163","https://openalex.org/W2031473556","https://openalex.org/W2051434435","https://openalex.org/W2068511562","https://openalex.org/W2072239694","https://openalex.org/W2114013702","https://openalex.org/W2137910577","https://openalex.org/W2156765928","https://openalex.org/W2158196600","https://openalex.org/W2158698691","https://openalex.org/W2164082612","https://openalex.org/W2263846226","https://openalex.org/W2424495361","https://openalex.org/W2563852449","https://openalex.org/W2580779885","https://openalex.org/W2582561810","https://openalex.org/W2593408211","https://openalex.org/W2742330194","https://openalex.org/W2751589903","https://openalex.org/W2760944227","https://openalex.org/W2790166049","https://openalex.org/W2791544114","https://openalex.org/W2792307011","https://openalex.org/W2793246835","https://openalex.org/W2804365752","https://openalex.org/W2808193103","https://openalex.org/W2883134502","https://openalex.org/W2891163418","https://openalex.org/W2903375317","https://openalex.org/W2910027323","https://openalex.org/W2911601927","https://openalex.org/W2925285378","https://openalex.org/W2937637483","https://openalex.org/W2970641574","https://openalex.org/W3000970298","https://openalex.org/W3011573535","https://openalex.org/W3014820715","https://openalex.org/W3027404439","https://openalex.org/W3035170365","https://openalex.org/W3036619158","https://openalex.org/W3093630852","https://openalex.org/W3101702870","https://openalex.org/W3104758113","https://openalex.org/W3107408285","https://openalex.org/W3121398036","https://openalex.org/W3129172669","https://openalex.org/W3133423348","https://openalex.org/W3137373276","https://openalex.org/W3142376279","https://openalex.org/W3189818057","https://openalex.org/W4220844191","https://openalex.org/W4242303365","https://openalex.org/W4292583384","https://openalex.org/W4306722800","https://openalex.org/W4309434787","https://openalex.org/W4313306150","https://openalex.org/W4385298633","https://openalex.org/W4385325063","https://openalex.org/W4385573966","https://openalex.org/W6675354045"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W3197131596","https://openalex.org/W4390616380","https://openalex.org/W4388666321","https://openalex.org/W4205914924","https://openalex.org/W4283459170","https://openalex.org/W4390691583","https://openalex.org/W4225301003","https://openalex.org/W2962981892","https://openalex.org/W3006103249"],"abstract_inverted_index":{"Abstract":[0],"Social":[1],"media":[2],"can":[3,279],"be":[4,299],"a":[5,32,125,140,164,170,190,223,284,307,330,351,361],"major":[6],"accelerator":[7],"of":[8,11,28,45,90,173,189,194,230,250,293,310,315,343,364],"the":[9,26,43,73,78,87,187,227,231,248,254,265,271,276,313,316,335,341,348],"spread":[10],"misinformation,":[12],"thereby":[13],"potentially":[14],"compromising":[15],"both":[16],"individual":[17],"well-being":[18],"and":[19,60,253,355],"social":[20],"cohesion.":[21],"Despite":[22],"significant":[23],"recent":[24],"advances,":[25],"study":[27],"online":[29,46,52,237],"misinformation":[30,47,68,91,113,238],"is":[31,101,222,337],"relatively":[33],"young":[34],"field":[35,336],"facing":[36],"several":[37],"(methodological)":[38],"challenges.":[39],"In":[40,72,124],"this":[41],"regard,":[42],"detection":[44],"has":[48],"proven":[49],"difficult,":[50],"as":[51,96,163,329],"large-scale":[53,88],"data":[54],"streams":[55],"require":[56],"(semi-)automated,":[57],"highly":[58],"specific":[59,119,145],"therefore":[61],"sophisticated":[62],"methods":[63,228],"to":[64,112,118,143,151,206,226,235,270,283,290,298,320,334],"separate":[65],"posts":[66],"containing":[67],"from":[69],"irrelevant":[70],"posts.":[71],"present":[74,169],"paper,":[75],"we":[76,128],"introduce":[77],"adaptive":[79],"community-response":[80],"(ACR)":[81],"method,":[82,175],"an":[83,178,357],"unsupervised":[84],"technique":[85],"for":[86],"collection":[89],"on":[92,103,186,339],"Twitter":[93,108],"(now":[94],"known":[95],"\u2019X\u2019).":[97],"The":[98],"ACR":[99,185,221,255,259,277,317],"method":[100,278,318],"based":[102,338],"previous":[104],"findings":[105],"showing":[106],"that":[107,157,220,275],"users":[109],"occasionally":[110],"reply":[111],"with":[114],"fact-checking":[115,120],"by":[116,177,301,306],"referring":[117],"sites":[121],"(crowdsourced":[122],"fact-checking).":[123],"first":[126],"step,":[127],"captured":[129],"such":[130],"misinforming":[131,155,215],"but":[132],"fact-checked":[133,160,272],"tweets.":[134],"These":[135],"tweets":[136,156,273,282,296,321],"were":[137,158],"used":[138],"in":[139,347],"second":[141],"step":[142],"extract":[144],"linguistic":[146],"features":[147],"(keywords),":[148],"enabling":[149,233],"us":[150],"collect":[152,236],"also":[153],"those":[154],"not":[159],"at":[161],"all":[162],"third":[165],"step.":[166],"We":[167,182],"initially":[168],"mathematical":[171,353],"framework":[172,354],"our":[174],"followed":[176],"explicit":[179],"algorithmic":[180],"implementation.":[181],"then":[183],"evaluate":[184],"basis":[188],"comprehensive":[191,362],"dataset":[192],"consisting":[193],"$$&gt;25$$":[195],"<mml:math":[196,208],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">":[197,209],"<mml:mrow>":[198,210],"<mml:mo>&gt;</mml:mo>":[199,211],"<mml:mn>25</mml:mn>":[200],"</mml:mrow>":[201,213],"</mml:math>":[202,214],"million":[203],"tweets,":[204,256],"belonging":[205],"$$&gt;300$$":[207],"<mml:mn>300</mml:mn>":[212],"stories.":[216,266],"Our":[217],"evaluation":[218],"shows":[219],"useful":[224],"extension":[225],"pool":[229],"field,":[232,349],"researchers":[234],"more":[239],"comprehensively.":[240],"Text":[241],"similarity":[242],"measures":[243],"clearly":[244],"indicated":[245,305],"correspondence":[246],"between":[247],"claims":[249],"false":[251],"stories":[252],"even":[257],"though":[258],"performance":[260],"was":[261],"heterogeneously":[262],"distributed":[263],"across":[264],"A":[267],"baseline":[268],"comparison":[269],"showed":[274],"detect":[280],"story-related":[281],"comparable":[285],"degree,":[286],"while":[287],"being":[288],"sensitive":[289],"different":[291],"types":[292],"tweets:":[294],"Fact-checked":[295],"tend":[297],"driven":[300],"high":[302,308],"outreach":[303],"(as":[304],"number":[309],"retweets),":[311],"whereas":[312],"sensitivity":[314],"extends":[319],"exhibiting":[322],"lower":[323],"outreach.":[324],"Taken":[325],"together,":[326],"ACR\u2019s":[327],"capacity":[328],"valuable":[331],"methodological":[332],"contribution":[333],"(i)":[340],"adoption":[342],"prior,":[344],"pioneering":[345],"research":[346],"(ii)":[350],"well-formalized":[352],"(iii)":[356],"empirical":[358],"foundation":[359],"via":[360],"set":[363],"indicators.":[365]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}