Schmalenbach K, Gengler E, Laumer S (2022)
Publication Language: English
Publication Type: Conference contribution, Conference Contribution
Publication year: 2022
News recommender systems (NRSs) are an essential component of online news portals. To avoid the emergence of “filter bubbles” where users display an overly selective perception of the news situation, NRSs must not only display a diverse range of news, but also motivate users to engage with the diversified content. Many existing approaches attempt to achieve this by modifying the recommendation strategy or by applying selection control techniques such as digital nudging. Based on insights from self-determination theory, we present an alternative approach that relies on user control mechanisms to promote self-determined motivation for exploratory use and thus diverse news consumption behavior. We also outline a methodological design to empirically confirm the viability of our approach. As such, we not only contribute to the theoretical understanding of the role of user control in diverse news consumption behavior, but also provide guidance on validating the practical feasibility of our approach.
APA:
Schmalenbach, K., Gengler, E., & Laumer, S. (2022). Promoting Diverse News Consumption Through User Control Mechanisms. In Proceedings of the International Conference on Information Systems (ICIS) 2022. Copenhagen, DK.
MLA:
Schmalenbach, Kian, Eva Gengler, and Sven Laumer. "Promoting Diverse News Consumption Through User Control Mechanisms." Proceedings of the International Conference on Information Systems (ICIS) 2022, Copenhagen 2022.
BibTeX: Download