Abstract
It is well established in psychology that framing of content affects the behavior of people. This effect is, however, only sparsely explored in information-seeking and retrieval behavior. In the present work, we consider the diversity of consumed content and repetition patterns regarding their framing. We conduct a framing analysis in the MIcrosoft News Dataset (MIND) comprising textual content and user interaction behaviors. By extracting the frames of the item sequences, we uncover a tendency of users to consume similar framed news repeatedly when sticking to the same type of content. Consequently, framing biases are important to consider in information systems. We hope that our work inspires future research on corresponding debiasing methods.
| Original language | English |
|---|---|
| Number of pages | 13 |
| Journal | CEUR Workshop Proceedings |
| Volume | 3660 |
| Publication status | Published - 2024 |
| Event | 2024 ACM International Conference on Intelligent User Interfaces Workshops: IUI-WS 2024 - Greenville, United States Duration: 18 Mar 2024 → 18 Mar 2024 |
Keywords
- Content Bias
- Empirical Study
- Framing Theory
- Repeat Consumption
- User Behavior
- Viewpoint Diversity
ASJC Scopus subject areas
- General Computer Science