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How to Design More Empathetic Recommender Systems in Social Media

Title data

Bonenberger, Lukas ; Graf-Drasch, Valerie ; Lanzl, Julia:
How to Design More Empathetic Recommender Systems in Social Media.
In: Proceedings of the 43rd International Conference on Information Systems (ICIS). - Copenhagen, Denmark , 2022

Official URL: Volltext

Project information

Project title:
Project's official title
Project's id
Projektgruppe WI Digital Life
No information

Abstract in another language

Social media’s value proposition heavily relies on recommender systems suggesting products to buy, events to attend, or people to connect with. These systems currently prioritize user engagement and social media providers’ profit generation over individual users’ well-being. However, making these systems more “empathetic” would benefit social media providers and content creators as users would use social media more often, longer, and increasingly recommend it to other users. By way of a design science research approach, including twelve interviews with psychologists, system designers, social media experts, and users, we develop user-centric design knowledge on making recommender systems in social media more “empathetic.” This design knowledge comprises a conceptual framework, four meta-requirements, and six design principles. It contributes to the evolving research stream “IS for resilience” and provides practical guidance in developing socially responsible recommender systems as next-generation social media services.

Further data

Item Type: Article in a book
Refereed: Yes
Keywords: Recommender System; Social Media; Design Science Research; Resilience; Empathy
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Fraunhofer Project Group Business and Information Systems Engineering
Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management
Faculties > Faculty of Law, Business and Economics
Result of work at the UBT: No
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 13 Dec 2022 06:42
Last Modified: 13 Dec 2022 06:42