Characteristics of ChatGPT users from Germany : Implications for the digital divide from web tracking data

Celina Kacperski, Roberto Ulloa*, Denis Bonnay, Juhi Kulshrestha, Peter Selb, Andreas Spitz

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

5 Downloads (Pure)

Abstract

A major challenge of our time is reducing disparities in access to and effective use of digital technologies, with recent discussions highlighting the role of AI in exacerbating the digital divide. We examine user characteristics that predict usage of the AI-powered conversational agent ChatGPT. We combine behavioral and survey data in a web tracked sample of N = 1376 German citizens to investigate differences in ChatGPT activity (usage, visits, and adoption) during the first 11 months from the launch of the service (November 30, 2022). Guided by a model of technology acceptance (UTAUT-2), we examine the role of sociodemographics commonly associated with the digital divide in ChatGPT activity and explore further socio-political attributes identified via stability selection in Lasso regressions. We confirm that lower age and higher education affect ChatGPT usage, but do not find that gender or income do. We find full-time employment and more children to be barriers to ChatGPT activity. Using a variety of social media was positively associated with ChatGPT activity. In terms of political variables, political knowledge and political self-efficacy as well as some political behaviors such as voting, debating political issues online and offline and political action online were all associated with ChatGPT activity, with online political debating and political self-efficacy negatively so. Finally, need for cognition and communication skills such as writing, attending meetings, or giving presentations, were also associated with ChatGPT engagement, though chairing/organizing meetings was negatively associated. Our research informs efforts to address digital disparities and promote digital literacy among underserved populations by presenting implications, recommendations, and discussions on ethical and social issues of our findings.

Original languageEnglish
Article numbere0309047
Pages (from-to)1-21
Number of pages21
JournalPloS one
Volume20
Issue number1
DOIs
Publication statusPublished - Jan 2025
MoE publication typeA1 Journal article-refereed

Fingerprint

Dive into the research topics of 'Characteristics of ChatGPT users from Germany : Implications for the digital divide from web tracking data'. Together they form a unique fingerprint.

Cite this