Human-centricity in a Sustainable Digital Economy
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ItemDo People Recover from Algorithm Aversion? An Experimental Study of Algorithm Aversion over Time( 2023-01-03)Optimal decision making requires appropriate evaluation of advice. Recent literature reports that algorithm aversion reduces the effectiveness of predictive algorithms. However, it remains unclear how people recover from bad advice given by an otherwise good advisor. Previous work has focused on algorithm aversion at a single time point. We extend this work by examining successive decisions in a time series forecasting task using an online between-subjects experiment (N = 87). Our empirical results do not confirm algorithm aversion immediately after bad advice. The estimated effect suggests an increasing algorithm appreciation over time. Our work extends the current knowledge on algorithm aversion with insights into how weight on advice is adjusted over consecutive tasks. Since most forecasting tasks are not one-off decisions, this also has implications for practitioners.
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ItemThe 2021 German Federal Election on Social Media: Analysing Electoral Risks Created by Twitter and Facebook( 2023-01-03)Safeguarding democratic elections is hard. Social media plays a vital role in the discourse around elections and during electoral campaigns. The following article provides an analysis of the ‘systemic electoral risks’ created by Twitter and Facebook and the mitigation strategies employed by the platforms. It is based on the 2020 proposal by the European Commission for the new Digital Services Act (DSA) in the context of the 2021 German federal elections. This article focuses on Twitter and Facebook and their roles during the German federal elections that took place on 26 September 2021. We analysed three systemic electoral risk categories: 1) the dissemination of illegal content, 2) negative effects on electoral rights, and 3) the influence of disinformation and developed systematic categories for this purpose. In conclusion, we discuss how to respond to these challenges as well as avenues for future research.
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ItemEnterprise Business Models Leveraging Self-Sovereign Identity: Towards a User-Empowering Me2X Economy( 2023-01-03)The Self-Sovereign Identity (SSI) paradigm aims to transition online identity silos exhibiting privacy issues to user-controlled sharing mechanisms. While various governments back and promote its development, business models often play a subordinate role in these efforts. Building on academic literature and practical projects, our study addresses this and contributes a taxonomy of business enabled by SSI with 12 dimensions, 9 sub-dimensions, and 51 characteristics.
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ItemInformation Systems Research for the Next Generation: Child-Centricity in a Digital World( 2023-01-03)Traditionally, information systems (IS) research investigates socio-technical systems in organizations and the workplace. As IS have become an integral part of our daily lives, IS research nowadays also incorporates the private space. However, efforts to date have mostly focused on adults. Children, born into a digital world today, have been mostly left out. Yet our discipline not only has the potential to contribute to the adequate and child-friendly design of IS artifacts for children but can also help to further develop theories on children's behavior. For this to succeed, IS researchers need to adapt their approach to children. Ethical considerations should address children's vulnerability, the design of interventions should happen in close collaboration with children, research methods should be child-centered, and the specificities of children should be kept present in result analyses.