research-article

Towards Understanding and Supporting Journalistic Practices Using Semi-Automated News Discovery Tools

Authors:

Nicholas Diakopoulos,

Daniel Trielli,

Grace LeeAuthors Info & Claims

Proceedings of the ACM on Human-Computer Interaction, Volume 5, Issue CSCW2

Article No.: 406, Pages 1 - 30

https://doi.org/10.1145/3479550

Published: 18 October 2021 Publication History

Abstract

Journalists are routinely challenged with monitoring vast information environments in order to identify what is newsworthy and of interest to report to a wider audience. In a process referred to as computational news discovery, alerts and leads based on data-driven algorithmic analysis can orient journalists' attention to events, documents, or anomalous patterns in data that are more likely to be newsworthy. In this paper we prototype one such news discovery tool, Algorithm Tips, which we designed to help journalists find newsworthy leads about algorithmic decision-making systems used across all levels of U.S. government. The tool incorporates algorithmic, crowdsourced, and expert evaluations into an integrated interface designed to support users in making editorial decisions about which news leads to pursue. We then present an evaluation of our prototype based on an extended deployment with eight professional journalists. Our findings offer insights into journalistic practices that are enabled and transformed by such news discovery tools, and suggest opportunities for improving computational news discovery tool designs to better support those practices.

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Index Terms

Towards Understanding and Supporting Journalistic Practices Using Semi-Automated News Discovery Tools
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods

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cover image Proceedings of the ACM on Human-Computer Interaction

Proceedings of the ACM on Human-Computer Interaction Volume 5, Issue CSCW2

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October 2021

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DOI:10.1145/3493286

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https://dl.acm.org/doi/10.1145/3641023
Nishal SSinchai JDiakopoulos N(2024)Understanding Practices around Computational News Discovery Tools in the Domain of Science JournalismProceedings of the ACM on Human-Computer Interaction10.1145/36374198:CSCW1(1-36)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3637419
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