Supporting the use of user generated content in journalistic practice
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Abstract (arXiv)
Social media and user-generated content (UGC) are increasingly important features of journalistic work in a number of different ways. However, their use presents major challenges, not least because information posted on social media is not always reliable and therefore its veracity needs to be checked before it can be considered as fit for use in the reporting of news. We report on the results of a series of in-depth ethnographic studies of journalist work practices undertaken as part of the requirements gathering for a prototype of a social media verification 'dashboard' and its subsequent evaluation. We conclude with some reflections upon the broader implications of our findings for the design of tools to support journalistic work.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 21 Feb 2017.
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Citing papers per year: 2021: 2; 2022: 1; 2023: 1.
4 papers.
- 2023Understanding Practices around Computational News Discovery Tools in the Domain of Science Journalismcited by 7
- 2022Datavoidant: An AI System for Addressing Political Data Voids on Social Mediacited by 6
- 2021Evaluation of Thematic Coherence in Microblogscited by 3
- 2021Is Dynamic Rumor Detection on social media Viable? An Unsupervised Perspectivecited by 1
- 2023Understanding Practices around Computational News Discovery Tools in the Domain of Science Journalism12 Nov 2023
- 2022Datavoidant: An AI System for Addressing Political Data Voids on Social Media24 Oct 2022
- 2021Is Dynamic Rumor Detection on social media Viable? An Unsupervised Perspective23 Nov 2021
- 2021Evaluation of Thematic Coherence in Microblogs30 Jun 2021