Characteristics of ChatGPT users from Germany: implications for the digital divide from web tracking data
Celina Kacperski, Denis Bonnay, Juhi Kulshrestha, Peter Selb, Andreas Spitz, Roberto Ulloa

TL;DR
This study analyzes the characteristics of ChatGPT users in Germany, revealing socio-demographic and political factors influencing usage, and discusses implications for addressing the digital divide and promoting digital literacy.
Contribution
It combines behavioral and survey data to identify socio-demographic and political predictors of ChatGPT usage among Germans, highlighting factors related to the digital divide.
Findings
Lower age and higher education increase ChatGPT usage.
Full-time employment and more children reduce ChatGPT activity.
Social media use and political engagement are positively associated with ChatGPT use.
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 socio-demographics 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…
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Taxonomy
TopicsArtificial Intelligence in Healthcare and Education
