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Algorithmic Governance: Experimental Evidence on Citizens' and Public Administrators' Legitimacy Perceptions of Automated Decision‐Making
16 references·0 citing·47 second hop
Algorithmic Governance: Experimental Evidence on Citizens' and Public Administrators' Legitimacy Perceptions of Automated Decision‐Making (2025)Algorithmic Governance: Experimental Evid…The Concept of Representation (2023)The Concept of RepresentationHuman–AI Interactions in Public Sector Decision Making: “Automation Bias” and “Selective Adherence” to Algorithmic Advice (2022)Human–AI Interactions in Publ…The costs of connection: how data is colonizing human life and appropriating it for capitalism (2020)The costs of connection: how …In AI we trust? Perceptions about automated decision-making by artificial intelligence (2020)In AI we trust? Perceptions a…The global landscape of AI ethics guidelines (2019)The global landscape of AI et…The Platform Society (2018)The Platform SocietyThe ethics of algorithms: Mapping the debate (2016)The ethics of algorithms: Map…Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability (2016)Seeing without knowing: Limit…How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)How the machine ‘thinks’: Und…The black box society: the secret algorithms that control money and information (2015)The black box society: the se…Algorithm Aversion: People Erroneously Avoid Algorithms after Seeing Them Err (2014)Algorithm Aversion: People Er…Public management reform : a comparative analysis - new public management, governance, and the Neo-Weberian State (2011)Public management reform : a …Why People Obey the Law (2006)Why People Obey the Law‘Accountability’: An Ever‐Expanding Concept? (2000)‘Accountability’: An Ever‐Exp…Managing Legitimacy: Strategic and Institutional Approaches (1995)Managing Legitimacy: Strategi…Congruence between Citizens and Policymakers in Two Visions of Liberal Democracy (1994)Congruence between Citizens a…World Development Report 1990. (1990)The chameleon of accountability: Forms and discourses (1995)Punishment and Responsibility (2008)Two Concepts of Accountability: Accountability as a Virtue and as a Mechanism (2010)Public Value Governance: Moving Beyond Traditional Public Administration and the New Public Management (2014)The Oxford Handbook of Public Accountability (2014)Institutionalized Organizations: Formal Structure as Myth and Ceremony (1977)The Iron Cage Revisited: Institutional Isomorphism and Collective Rationality in Organizational Fields (1983)Toward a Theory of Stakeholder Identification and Salience: Defining the Principle of who and What Really Counts (1997)WHY COMPANIES GO GREEN: A MODEL OF ECOLOGICAL RESPONSIVENESS. 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References

  • 1995Managing Legitimacy: Strategic and Institutional Approaches19,858 cited
  • 2019The global landscape of AI ethics guidelines6,172 cited
  • 2006Why People Obey the Law5,146 cited
  • 2016The ethics of algorithms: Mapping the debate3,541 cited
  • 2014Algorithm Aversion: People Erroneously Avoid Algorithms after Seeing Them Err3,203 cited
  • 2016How the machine ‘thinks’: Understanding opacity in machine learning algorithms3,179 cited
  • 2018The Platform Society2,934 cited
  • 2016Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability1,828 cited
  • 2011Public management reform : a comparative analysis - new public management, governance, and the Neo-Weberian State1,736 cited
  • 2000‘Accountability’: An Ever‐Expanding Concept?1,608 cited
  • 2023The Concept of Representation1,206 cited
  • 2020In AI we trust? Perceptions about automated decision-making by artificial intelligence1,036 cited
  • 1994Congruence between Citizens and Policymakers in Two Visions of Liberal Democracy680 cited
  • 2015The black box society: the secret algorithms that control money and information533 cited
  • 2020The costs of connection: how data is colonizing human life and appropriating it for capitalism

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531 cited
  • 2022Human–AI Interactions in Public Sector Decision Making: “Automation Bias” and “Selective Adherence” to Algorithmic Advice462 cited
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