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Christian Meske

Researcher at Free University of Berlin

Publications -  81
Citations -  1152

Christian Meske is an academic researcher from Free University of Berlin. The author has contributed to research in topics: Computer science & Social media. The author has an hindex of 14, co-authored 65 publications receiving 694 citations. Previous affiliations of Christian Meske include University of Duisburg-Essen & Ruhr University Bochum.

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Journal ArticleDOI

Explainable Artificial Intelligence: Objectives, Stakeholders, and Future Research Opportunities

TL;DR: This research note describes exemplary risks of black-box AI, the consequent need for explainability, and previous research on Explainable AI (XAI) in information systems research.
Book ChapterDOI

Adoption and Use of Social Media in Small and Medium-sized Enterprises

TL;DR: Examination of decision-makers in German SMEs indicates that SMEs started to use internal social media in order to support collaboration among employees and to improve knowledge management, but SMEs still face problems to manage adoption and to identify relevant business values.
Journal ArticleDOI

“Likes” as social rewards: Their role in online social comparison and decisions to like other People's selfies

TL;DR: Results demonstrate that Likes are used for comparisons with the expected affective outcome, however, like decisions were rather based on judgments of likability, admiration and positive feelings after comparison rather than the comparison outcome.
Journal ArticleDOI

From Top to Bottom - Investigating the Changing Role of Hierarchy in Enterprise Social Networks

TL;DR: This work contributes a set of propositions that theorize the ways in which influence and communication pattern are shaped during the process of ESN emergence, and underline the potentials ofESN to improve organic, user-driven communication and knowledge sharing within firms.
Proceedings Article

The dinu-model – a process model for the design of nudges

TL;DR: This study focuses on IS-induced human behavior by introducing a process model for nudging in IS by analyzing literature on nudging and persuasion and derived different steps, requirements, and nudging elements.