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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Final published version
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
TY - GEN
T1 - Supporting the use of user generated content in journalistic practice
AU - Tolmie, Peter
AU - Procter, Rob
AU - Rouncefield, Mark Francis
AU - Liakata, Maria
AU - Zubiaga, Arkaitz
AU - Randall, David
N1 - ©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
PY - 2017/5/6
Y1 - 2017/5/6
N2 - 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.
AB - 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.
U2 - 10.1145/3025453.3025892
DO - 10.1145/3025453.3025892
M3 - Conference contribution/Paper
SN - 9781450346559
SP - 3632
EP - 3644
BT - CHI '17 Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems
PB - ACM
CY - New York
ER -