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

February 17, 2023 Β· Declared Dead Β· πŸ› International Conference on Human Factors in Computing Systems

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Authors Philippe Laban, Chien-Sheng Wu, Lidiya Murakhovs'ka, Xiang 'Anthony' Chen, Caiming Xiong arXiv ID 2302.08997 Category cs.HC: Human-Computer Interaction Cross-listed cs.CL Citations 8 Venue International Conference on Human Factors in Computing Systems Last Checked 4 months ago
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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