Designing and Evaluating Interfaces that Highlight News Coverage Diversity Using Discord Questions

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Abstract

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.

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Laban, P., Wu, C. S., Murakhovs’ka, L., Chen, X. A., & Xiong, C. (2023). Designing and Evaluating Interfaces that Highlight News Coverage Diversity Using Discord Questions. In Conference on Human Factors in Computing Systems - Proceedings. Association for Computing Machinery. https://doi.org/10.1145/3544548.3581569

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