A literature review of user privacy concerns in conversational chatbots: A social informatics approach: An Annual Review of Information Science and Technology (ARIST) paper

0Citations
Citations of this article
4Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Since the introduction of OpenAI's ChatGPT-3 in late 2022, conversational chatbots have gained significant popularity. These chatbots are designed to offer a user-friendly interface for individuals to engage with technology using natural language in their daily interactions. However, these interactions raise user privacy concerns due to the data shared and the potential for misuse in these conversational information exchanges. Furthermore, there are no overarching laws and regulations governing such conversational interfaces in the United States. Thus, there is a need to investigate the user privacy concerns. To understand these concerns in the existing literature, this paper presents a literature review and analysis of 38 papers out of 894 retrieved papers that focus on user privacy concerns arising from interactions with text-based conversational chatbots through the lens of social informatics. The review indicates that the primary user privacy concern that has consistently been addressed is self-disclosure. This review contributes to the broader understanding of privacy concerns regarding chatbots the need for further exploration in this domain. As these chatbots continue to evolve, this paper acts as a foundation for future research endeavors and informs potential regulatory frameworks to safeguard user privacy in an increasingly digitized world.

Cite

CITATION STYLE

APA

Gumusel, E. (2024). A literature review of user privacy concerns in conversational chatbots: A social informatics approach: An Annual Review of Information Science and Technology (ARIST) paper. Journal of the Association for Information Science and Technology. John Wiley and Sons Inc. https://doi.org/10.1002/asi.24898

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free