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

Philippe Laban, Chien-Sheng Wu, Lidiya Murakhovs'ka, Xiang 'Anthony' Chen, Caiming Xiong
2/17/2023
cs.HCcs.CL

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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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Cite this paper

@article{laban2023designing,
  title  = {Designing and Evaluating Interfaces that Highlight News Coverage Diversity Using Discord Questions},
  author = {Philippe Laban and Chien-Sheng Wu and Lidiya Murakhovs'ka and Xiang 'Anthony' Chen and Caiming Xiong},
  year   = {2023},
  eprint = {2302.08997},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2302.08997v1}
}

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