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Characteristics of ChatGPT users from Germany: Implications for the digital divide from web tracking data
16 references·4 citing·51 second hopsampled
Characteristics of ChatGPT users from Germany: Implications for the digital divide from web tracking data (2025)Characteristics of ChatGPT users from Ger…ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)ChatGPT: A comprehensive revi…The digital divide: A review and future research agenda (2021)The digital divide: A review …Algorithmic bias: review, synthesis, and future research directions (2021)Algorithmic bias: review, syn…A Survey on Bias and Fairness in Machine Learning (2021)A Survey on Bias and Fairness…The Ethics of AI Ethics: An Evaluation of Guidelines (2020)The Ethics of AI Ethics: An E…The global landscape of AI ethics guidelines (2019)The global landscape of AI et…Technology acceptance model: a literature review from 1986 to 2013 (2014)Technology acceptance model: …The digital divide shifts to differences in usage (2013)The digital divide shifts to …Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1 (2012)Consumer Acceptance and Use o…Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology (2012)Consumer acceptance and use o…Using the technology acceptance model to explain how attitudes determine Internet usage: The role of perceived access barriers and demographics (2006)Using the technology acceptan…User Acceptance of Information Technology: Toward A Unified View1 (2003)User Acceptance of Informatio…Extending the technology acceptance model (2001)Extending the technology acce…Are Individual Differences Germane to the Acceptance of New Information Technologies? (1999)Are Individual Differences Ge…Beyond SES: A Resource Model of Political Participation (1995)Beyond SES: A Resource Model …The need for cognition. (1982)The need for cognition.AI aversion? Effects of author disclosure on young people’s perceptions of mental health advice (2026)AI aversion? Effects of autho…The paradox of agency in psychotherapy: How people with mental distress experience support from generative AI chatbots and human therapists (2025)The paradox of agency in psyc…On the verge of a digital divide in the use of generative AI? 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(2009)Principles alone cannot guarantee ethical AI (2019)Ethics of AI in Education: Towards a Community-Wide Framework (2021)Fairness through awareness (2012)Semantics derived automatically from language corpora contain human-like biases (2017)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Algorithmic Bias in Education (2021)Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation (2023)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)Experimental evidence of massive-scale emotional contagion through social networks (2014)AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations (2018)Emerging challenges in AI and the need for AI ethics education (2020)Ethical principles for artificial intelligence in education (2022)Trustworthy Artificial Intelligence: A Review (2022)A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies (2000)Why Don’t Men Ever Stop to Ask for Directions? 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(2023)Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy (2023)A multinational study on the factors influencing university students’ attitudes and usage of ChatGPT (2024)
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References

  • 2003User Acceptance of Information Technology: Toward A Unified View144,945 cited
  • 2012Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology115,720 cited
  • 2019The global landscape of AI ethics guidelines6,172 cited
  • 2021A Survey on Bias and Fairness in Machine Learning5,798 cited
  • 1982The need for cognition.5,357 cited
  • 1995Beyond SES: A Resource Model of Political Participation2,905 cited
  • 2014Technology acceptance model: a literature review from 1986 to 20132,457 cited
  • 2023ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope2,455 cited
  • 1999Are Individual Differences Germane to the Acceptance of New Information Technologies?2,105 cited
  • 2020The Ethics of AI Ethics: An Evaluation of Guidelines1,900 cited
  • 2013The digital divide shifts to differences in usage1,727 cited
  • 2012Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology1,278 cited
  • 2001Extending the technology acceptance model1,099 cited
  • 2006Using the technology acceptance model to explain how attitudes determine Internet usage: The role of perceived access barriers and demographics1,066 cited

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  • 2021The digital divide: A review and future research agenda1,039 cited
  • 2021Algorithmic bias: review, synthesis, and future research directions767 cited
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    • 2025On the verge of a digital divide in the use of generative AI?30 cited
    • 2025Emerging generative AI divide: Personal, positional, and resource-based factors associated with use and reasons for non-use14 cited
    • 2025The paradox of agency in psychotherapy: How people with mental distress experience support from generative AI chatbots and human therapists8 cited
    • 2026AI aversion? Effects of author disclosure on young people’s perceptions of mental health advice3 cited