Designing and Evaluating Interfaces that Highlight News Coverage Diversity Using Discord Questions
Laban, Philippe, Wu, Chien-Sheng, Murakhovs'ka, Lidiya, Chen, Xiang 'Anthony', Xiong, Caiming
–arXiv.org Artificial Intelligence
Modern news aggregators do the hard work of organizing a large news stream, creating collections for a given news story with tens of source options. This paper shows that navigating large source collections for a news story can be challenging without further guidance. In this work, we design three interfaces -- the Annotated Article, the Recomposed Article, and the Question Grid -- aimed at accompanying news readers in discovering coverage diversity while they read. A first usability study with 10 journalism experts confirms the designed interfaces all reveal coverage diversity and determine each interface's potential use cases and audiences. In a second usability study, we developed and implemented a reading exercise with 95 novice news readers to measure exposure to coverage diversity. Results show that Annotated Article users are able to answer questions 34% more completely than with two existing interfaces while finding the interface equally easy to use.
arXiv.org Artificial Intelligence
Feb-17-2023
- Country:
- Asia (0.68)
- Europe (0.70)
- North America > United States (1.00)
- Genre:
- Questionnaire & Opinion Survey (1.00)
- Research Report > New Finding (1.00)
- Industry:
- Government > Regional Government
- Media > News (1.00)
- Technology:
- Information Technology
- Artificial Intelligence > Natural Language (1.00)
- Communications > Social Media (1.00)
- Human Computer Interaction (0.93)
- Information Management (0.93)
- Information Technology