Designing and Evaluating Interfaces that Highlight News Coverage Diversity Using Discord Questions
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Abstract (arXiv)
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.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 24 of its 69 references that are in the map. First posted on arXiv 17 Feb 2023.
Builds on
24 of 69 references.
References · 24
- 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,266
- 2019BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensioncited by 5,874
- 2018Know What You Don't Know: Unanswerable Questions for SQuADcited by 1,538
- 2020XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalizationcited by 738
- 2017The NarrativeQA Reading Comprehension Challengecited by 590
- 2019Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Modelcited by 431
- 2018Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategiescited by 292
- 2021Facebook AI WMT21 News Translation Task Submissioncited by 57
- 2020MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metricscited by 42
- 2021General-Purpose Question-Answering with Macawcited by 40
- 2020Inquisitive Question Generation for High Level Text Comprehensioncited by 31
- 2021MixQG: Neural Question Generation with Mixed Answer Typescited by 28
12 more
- 2022NeuS: Neutral Multi-News Summarization for Mitigating Framing Biascited by 26
- 2021What's The Latest? A Question-driven News Chatbotcited by 14
- 2021Enabling News Consumers to View and Understand Biased News Coverage: A Study on the Perception and Visualization of Media Biascited by 14
- 2022Discord Questions: A Computational Approach To Diversity Analysis in News Coveragecited by 11
- 2021News Headline Grouping as a Challenging NLU Taskcited by 10
- 2021Mitigating Media Bias through Neutral Article Generationcited by 7
- 2022NewsPod: Automatic and Interactive News Podcastscited by 6
- 2020NSTM: Real-Time Query-Driven News Overview Composition at Bloombergcited by 5
- 2021HeadlineCause: A Dataset of News Headlines for Detecting Causalitiescited by 5
- 2021Newsalyze: Enabling News Consumers to Understand Media Biascited by 4
- 2019Effects of Moderation and Opinion Heterogeneity on Attitude towards the Online Deliberation Experiencecited by 3
- 2022A Comparative Evaluation of Interventions Against Misinformation: Augmenting the WHO Checklistcited by 2
Built on by
Citing papers per year: 2023: 2; 2024: 1.
3 papers.
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- 2023SWiPE: A Dataset for Document-Level Simplification of Wikipedia Pagescited by 12
- 2024ArguMentor: Augmenting User Experiences with Counter-Perspectivescited by 0
- 2024ArguMentor: Augmenting User Experiences with Counter-Perspectives4 Jun 2024
- 2023Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles17 Sep 2023
- 2023SWiPE: A Dataset for Document-Level Simplification of Wikipedia Pages30 May 2023