{"id":"https://openalex.org/W3127262685","doi":"https://doi.org/10.1145/3411764.3445625","title":"Truth or Dare: Understanding and Predicting How Users Lie and Provide Untruthful Data Online","display_name":"Truth or Dare: Understanding and Predicting How Users Lie and Provide Untruthful Data Online","publication_year":2021,"publication_date":"2021-05-06","ids":{"openalex":"https://openalex.org/W3127262685","doi":"https://doi.org/10.1145/3411764.3445625","mag":"3127262685"},"language":"en","primary_location":{"id":"doi:10.1145/3411764.3445625","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3411764.3445625","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090234988","display_name":"Kopo M. Ramokapane","orcid":"https://orcid.org/0000-0001-8420-3929"},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Kopo M. Ramokapane","raw_affiliation_strings":["Bristol Cyber Security Group, Department of Computer Science University of Bristol, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bristol Cyber Security Group, Department of Computer Science University of Bristol, United Kingdom","institution_ids":["https://openalex.org/I36234482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025508614","display_name":"Gaurav Misra","orcid":"https://orcid.org/0000-0002-0846-3478"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gaurav Misra","raw_affiliation_strings":["Youtility Limited, London, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Youtility Limited, London, United Kingdom","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052525506","display_name":"Jos\u00e9 M. Such","orcid":"https://orcid.org/0000-0002-6041-178X"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jose Such","raw_affiliation_strings":["King's College London, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"King's College London, United Kingdom","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026864893","display_name":"S\u00f6ren Preibusch","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S\u00f6ren Preibusch","raw_affiliation_strings":["soeren-preibusch.de, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"soeren-preibusch.de, Germany","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11045","display_name":"Privacy, Security, and Data Protection","score":0.9995999932289124,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8238247632980347},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.5493872761726379},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.5470278859138489},{"id":"https://openalex.org/keywords/lie-detection","display_name":"Lie detection","score":0.48764124512672424},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.0955582857131958}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8238247632980347},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.5493872761726379},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5470278859138489},{"id":"https://openalex.org/C2776437466","wikidata":"https://www.wikidata.org/wiki/Q60920","display_name":"Lie detection","level":3,"score":0.48764124512672424},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0955582857131958},{"id":"https://openalex.org/C2779267917","wikidata":"https://www.wikidata.org/wiki/Q170028","display_name":"Deception","level":2,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3411764.3445625","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3411764.3445625","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:research-information.bris.ac.uk:openaire_cris_publications/9310c0d4-a16b-4e8f-97b6-c8369fb005cb","is_oa":false,"landing_page_url":"http://hdl.handle.net/1983/9310c0d4-a16b-4e8f-97b6-c8369fb005cb","pdf_url":null,"source":{"id":"https://openalex.org/S4306400895","display_name":"Bristol Research (University of Bristol)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I36234482","host_organization_name":"University of Bristol","host_organization_lineage":["https://openalex.org/I36234482"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Ramokapane, M, Misra, G, Such, J M & Preibusch, S 2021, Truth or Dare : Understanding and Predicting How Users Lie andProvide Untruthful Data Online. in CHI '21 : Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, pp. 1 - 15. https://doi.org/10.1145/3411764.3445625","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:research-information.bris.ac.uk:publications/9310c0d4-a16b-4e8f-97b6-c8369fb005cb","is_oa":false,"landing_page_url":"https://research-information.bris.ac.uk/en/publications/9310c0d4-a16b-4e8f-97b6-c8369fb005cb","pdf_url":null,"source":{"id":"https://openalex.org/S4306400895","display_name":"Bristol Research (University of Bristol)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I36234482","host_organization_name":"University of Bristol","host_organization_lineage":["https://openalex.org/I36234482"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Ramokapane, M, Misra, G, Such, J M & Preibusch, S 2021, Truth or Dare : Understanding and Predicting How Users Lie andProvide Untruthful Data Online. in CHI '21 : Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, pp. 1 - 15. https://doi.org/10.1145/3411764.3445625","raw_type":"contributionToPeriodical"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W154477552","https://openalex.org/W564989000","https://openalex.org/W1482874976","https://openalex.org/W1554944419","https://openalex.org/W1640628807","https://openalex.org/W1641003075","https://openalex.org/W1966976587","https://openalex.org/W1973697585","https://openalex.org/W1986366638","https://openalex.org/W1988914547","https://openalex.org/W1991246983","https://openalex.org/W1994670644","https://openalex.org/W1999568555","https://openalex.org/W2003505468","https://openalex.org/W2003686725","https://openalex.org/W2005240323","https://openalex.org/W2007510318","https://openalex.org/W2011018896","https://openalex.org/W2031573294","https://openalex.org/W2045051325","https://openalex.org/W2063422983","https://openalex.org/W2068019880","https://openalex.org/W2075072883","https://openalex.org/W2076387137","https://openalex.org/W2080453063","https://openalex.org/W2105753174","https://openalex.org/W2109426455","https://openalex.org/W2118854498","https://openalex.org/W2131703669","https://openalex.org/W2152127494","https://openalex.org/W2153245338","https://openalex.org/W2157428377","https://openalex.org/W2159024459","https://openalex.org/W2163241745","https://openalex.org/W2171033594","https://openalex.org/W2178735069","https://openalex.org/W2181523240","https://openalex.org/W2257942484","https://openalex.org/W2470733895","https://openalex.org/W2610285203","https://openalex.org/W2611108494","https://openalex.org/W2789388691","https://openalex.org/W2793051279","https://openalex.org/W2796127036","https://openalex.org/W2891542592","https://openalex.org/W2901793044","https://openalex.org/W2950182411","https://openalex.org/W2975604324","https://openalex.org/W3005407506","https://openalex.org/W3031539114","https://openalex.org/W3123895079","https://openalex.org/W4383956206"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W3183562979","https://openalex.org/W4249525658","https://openalex.org/W1593858497","https://openalex.org/W2567129896","https://openalex.org/W1596009097","https://openalex.org/W2392798459","https://openalex.org/W2135616814","https://openalex.org/W2149344011","https://openalex.org/W20307662"],"abstract_inverted_index":{"Individuals":[0],"are":[1,98],"known":[2],"to":[3,16,24,52,58,94,118],"lie":[4,30,40],"and/or":[5],"provide":[6,42,53,119],"untruthful":[7,43,54,120],"data":[8,44,121,153],"when":[9,26],"providing":[10],"information":[11],"online":[12],"as":[13],"a":[14,78],"way":[15],"protect":[17],"their":[18,131],"privacy.":[19],"Prior":[20],"studies":[21],"have":[22],"attempted":[23,57],"explain":[25],"and":[27,122,139,152],"why":[28],"individuals":[29],"online.":[31],"However,":[32],"no":[33],"work":[34],"has":[35],"examined":[36],"into":[37],"how":[38],"people":[39,61,116],"or":[41,56,65,100],"online,":[45],"i.e.":[46],"the":[47,69,124,128,135],"specific":[48,70],"strategies":[49,115],"they":[50],"follow":[51],"data,":[55],"predict":[59,95],"whether":[60,96],"would":[62],"be":[63],"truthful":[64,99],"not":[66,101],"depending":[67],"on":[68,86],"question/data.":[71],"To":[72],"close":[73],"this":[74,146],"gap,":[75],"we":[76,88],"present":[77],"large-scale":[79],"study":[80],"with":[81,105],"over":[82],"800":[83],"participants.":[84],"Based":[85],"it,":[87],"show":[89,123],"that":[90,126,141],"it":[91],"is":[92],"possible":[93],"users":[97,151],"using":[102],"machine":[103],"learning":[104],"very":[106],"high":[107],"accuracy":[108],"(89.7%).":[109],"We":[110,133],"also":[111],"identify":[112],"four":[113],"main":[114],"employ":[117],"factors":[125],"influence":[127],"choices":[129],"of":[130,137],"strategies.":[132],"discuss":[134],"implications":[136],"findings":[138],"argue":[140],"understanding":[142],"privacy":[143],"lies":[144],"at":[145],"level":[147],"can":[148],"help":[149],"both":[150],"collectors.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":8}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}