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Voice-activated personal assistants and privacy concerns: a Twitter analysis
dc.creator | Alzate Barricarte, Miriam | es_ES |
dc.creator | Arce Urriza, Marta | es_ES |
dc.creator | Cortiñas Ugalde, Mónica | es_ES |
dc.date.accessioned | 2023-11-21T07:43:55Z | |
dc.date.available | 2023-11-21T07:43:55Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | Alzate, M., Arce Urriza, M., & Cortiñas, M. (2023). Voice-activated personal assistants and privacy concerns: A Twitter analysis. Journal of Research in Interactive Marketing. https://doi.org/10.1108/JRIM-02-2023-0050 | en |
dc.identifier.issn | 2040-7122 | |
dc.identifier.uri | https://hdl.handle.net/2454/46806 | |
dc.description.abstract | This study aims to understand the extent of privacy concerns regarding voice-activated personal assistants (VAPAs) on Twitter. It investigates three key areas: (1) the effect of privacy-related press coverage on public sentiment and discussion volume; (2) the comparative negativity of privacy-focused conversations versus general conversations; and (3) the specific privacy-related topics that arise most frequently and their impact on sentiment and discussion volume. Design/methodology/approach – A dataset of 441,427 tweets mentioning Amazon Alexa, Google Assistant, and Apple Siri from July 1, 2019 to June 30, 2021 were collected. Privacy-related press coverage has also been monitored. Sentiment analysis was conducted using the dictionary-based software LIWC and VADER, whereas text mining packages in R were used to identify privacy-related issues. Findings – Negative privacy-related news significantly increases both negativity and volume in Twitter conversations, whereas positive news only boosts volume. Privacy-related tweets were notably more negative than general tweets. Specific keywords were found to either increase or decrease the sentiment and discussion volume. Additionally, a temporal evolution in sentiment, with general attitudes toward VAPAs becoming more positive, but privacy-specific discussions becoming more negative was observed. Originality/value – This research augments the existing online privacy literature by employing text mining methodologies to gauge consumer sentiments regarding privacy concerns linked to VAPAs, a topic currently underexplored. Furthermore, this research uniquely integrates established theories from privacy calculus and social contract theory to deepen our analysis. | en |
dc.description.sponsorship | This work is part of the project PID2019-1,08554RB-I00/ funded by AEI/10.13039/5,0110,0011,033. | en |
dc.format.mimetype | application/pdf | en |
dc.language.iso | eng | en |
dc.relation.ispartof | Journal of Research in Interactive Marketing, 1-20 | en |
dc.rights | © Emerald Publishing Limited | en |
dc.subject | Voice-activated personal assistants (VAPAs) | en |
dc.subject | Privacy | en |
dc.subject | Social buzz | en |
dc.subject | en | |
dc.title | Voice-activated personal assistants and privacy concerns: a Twitter analysis | en |
dc.type | Artículo / Artikulua | es |
dc.type | info:eu-repo/semantics/article | en |
dc.date.updated | 2023-11-21T07:34:15Z | |
dc.contributor.department | Institute for Advanced Research in Business and Economics - INARBE | en |
dc.rights.accessRights | Acceso abierto / Sarbide irekia | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | en |
dc.identifier.doi | 10.1108/JRIM-02-2023-0050 | |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-108554RB-I00/ES/ | en |
dc.relation.publisherversion | https://doi.org/10.1108/JRIM-02-2023-0050 | |
dc.type.version | Versión aceptada / Onetsi den bertsioa | es |
dc.type.version | info:eu-repo/semantics/acceptedVersion | en |