This chapter discusses the use in practice and implications of AI for professional roles and responsibilities in corporate communication. It defines AI and other relevant terms, gives a brief overview of how it is currently ...

Responsible innovation in artificial intelligence (AI) calls for public deliberation: well-informed “deep democratic” debate that involves actors from the public, private, and civil society sectors in joint efforts to ...

While the need for evaluation has become increasingly emphasized within the global public diplomacy community, recent research suggests the state of the practice is grim. However, the few writings that exist on evaluation ...

Kommunikationsmanager wissen heute um die Wirkung ihrer Arbeit und umihren Beitrag zur Erreichung von Unternehmenszielen. Dabei handelt es sich umLeistungen für eine gute Berichterstattung in den Medien, für die Reputation ...

While organizations today make extensive use of complex algorithms, the notion of algorithmic accountability remains an elusive ideal due to the opacity and fluidity of algorithms. In this article, we develop a framework ...

Digital technologies offer significant advances for the measurement and evaluation (M&E) of corporate communication, as they allow for real time and automated data collection and anal-ysis and bring new predictive capabilities. ...

Many organizations struggle to meaningfully engage with their stakeholders on political, societal and environmental topics via social media. Often such discourses unravel into splintered and negative conversations, raising ...

Digital microwork consists of remote and highly decontextualized labor that is increasingly governed by algorithms. The anonymity and granularity of such work is likely to cause alienation among workers. To date we know ...

Organizations increasingly delegate agency to artificial intelligence. However, such systems can yield unintended negative effects as they may produce biases against users or reinforce social injustices. What pronounces ...

This paper presents an analysis of resource acquisition and profile development of institutional units within universities. We conceptualize resource acquisition as a two-level nested process, where units compete for ...