Mostrar el registro sencillo del ítem

dc.contributor.authorSáez-Ortuño, Laura
dc.contributor.authorForgas-Coll, Santiago
dc.contributor.authorHuertas-Garcia, Ruben
dc.contributor.authorSánchez-García, Javier
dc.date.accessioned2024-03-18T10:47:34Z
dc.date.available2024-03-18T10:47:34Z
dc.date.issued2023-02-18
dc.identifier.citationSáez-Ortuño, Laura, et al. "Online cheaters: Profiles and motivations of internet users who falsify their data online." Journal of Innovation & Knowledge 8.2 (2023): 100349.ca_CA
dc.identifier.issn2444-569X
dc.identifier.urihttp://hdl.handle.net/10234/206210
dc.description.abstractThe digital environment, which includes the Internet and social networks, is propitious for digital marketing. However, the collection, filtering and analysis of the enormous, constant flow of information on social networks is a major challenge for both academics and practitioners. The aim of this research is to assist the process of filtering the personal information provided by users when registering online, and to determine which user profiles lie the most, and why. This entailed conducting three different studies. Study 1 estimates the percentage of Spanish users by stated sex and generation who lie the most when registering their personal data by analysing a database of 5,534,702 participants in online sweepstakes and quizzes using a combination of error detection algorithms, and a test of differences in proportions to measure the profiles of the most fraudulent users. Estimates show that some user profiles are more inclined to make mistakes and others to forge data intentionally, the latter being the majority. The groups that are most likely to supply incorrect data are older men and younger women. Study 2 explores the main motivations for intentionally providing false information, and finds that the most common reasons are related to amusement, such as playing pranks, and lack of faith in the company's data privacy and security measures. These results will enable academics and companies to improve mechanisms to filter out cheaters and avoid including them in their databases.ca_CA
dc.format.extent12 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherElsevierca_CA
dc.relation.isPartOfJournal of Innovation & Knowledge 8 (2023) 100349ca_CA
dc.rights© 2023 The Author(s). Published by Elsevier España, S.L.U. on behalf of Journal of Innovation & Knowledge.ca_CA
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/ca_CA
dc.subjectsocial networksca_CA
dc.subjectonline cheatersca_CA
dc.subjectfalse dataca_CA
dc.subjectsweepstakesca_CA
dc.subjectdata collectionca_CA
dc.titleOnline cheaters: Profiles and motivations of internet users who falsifytheir data onlineca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.subject.jelM0ca_CA
dc.subject.jelM31ca_CA
dc.subject.jelM37ca_CA
dc.subject.jelY1ca_CA
dc.subject.jelO3ca_CA
dc.subject.jelM15ca_CA
dc.identifier.doihttps://doi.org/10.1016/j.jik.2023.100349
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_CA
dc.type.versioninfo:eu-repo/semantics/publishedVersionca_CA
project.funder.nameEuropean Union (EU) Commission Regulationca_CA
project.funder.nameCentro para el DesarrolloTecnol ogico Industrial (C.D.T.I.)ca_CA
project.funder.nameSERTRENDS PREDICTOR (U.T.P.)ca_CA
oaire.awardNumber1407/2013ca_CA
oaire.awardNumberIDI-20170978ca_CA
dc.subject.ods9. Industria, innovacion e infraestructuraca_CA


Ficheros en el ítem

Thumbnail

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem

© 2023 The Author(s). Published by Elsevier España, S.L.U. on behalf of Journal of Innovation & Knowledge.
Excepto si se señala otra cosa, la licencia del ítem se describe como: © 2023 The Author(s). Published by Elsevier España, S.L.U. on behalf of Journal of Innovation & Knowledge.