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    Rights statement: ©The Authors, 2017. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in CHI '17 Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems http://dx.doi.org/10.1145/3025453.3025892

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Supporting the use of user generated content in journalistic practice

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Publication date6/05/2017
Host publicationCHI '17 Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems
Place of PublicationNew York
PublisherACM
Pages3632-3644
Number of pages13
ISBN (Print)9781450346559
Original languageEnglish

Abstract

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.

Bibliographic note

©The Authors, 2017. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in CHI '17 Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems http://dx.doi.org/10.1145/3025453.3025892