Algorithmic decision-making increasingly shapes people's daily lives. Given that such autonomous systems can cause severe harm to individuals and social groups, fairness concerns have arisen. A human-centric approach demanded by scholars and policymakers requires considering people's fairness perceptions when designing and implementing algorithmic decision-making. We provide a comprehensive, systematic literature review synthesizing the existing empirical insights on perceptions of algorithmic fairness from 58 empirical studies spanning multiple domains and scientific disciplines. Through thorough coding, we systemize the current empirical literature along (...) four dimensions: (1) algorithmic predictors, (2) human predictors, (3) comparative effects (human decision-making vs. algorithmic decision-making), and (4) consequences of algorithmic decision-making. While we identify much heterogeneity around the theoretical concepts and empirical measurements of algorithmic fairness, the insights come almost exclusively from Western-democratic contexts. By advocating for more interdisciplinary research adopting a society-in-the-loop framework, we hope our work will contribute to fairer and more responsible algorithmic decision-making. (shrink)

This article offers a view on the emerging practice of managing external relations of the modern university, and the role of science communication in this. With a representative sample of research universities in four countries, we seek to broaden our understanding of the _science communication (SC) function_ and its niche within the modern university. We distinguish science communication from corporate communication functions and examine how they distribute across organisational levels. We find that communication functions can be represented along a spectrum (...) of (de)centralisation: public relations and marketing activities are more likely carried out at the central level (central offices), and public affairs and SC activities are more likely carried out at decentral levels (e.g. in specific offices and/or research institutes, departments). This study shows that little attention is paid to science communication at central structures, suggesting that it is not a practice that aligns easily with university corporate communication, yet SC might find its niche increasingly in decentral locations of activity. (shrink)