Supporting the use of user generated content in journalistic practice
- Submitting institution
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The University of Warwick
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 6083
- Type
- E - Conference contribution
- DOI
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10.1145/3025453.3025892
- Title of conference / published proceedings
- 2017 CHI Conference on Human Factors in Computing Systems
- First page
- 3632
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- -
- Year of publication
- 2017
- URL
-
-
- Supplementary information
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-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
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7
- Research group(s)
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I - Artificial Intelligence and Human-Centred Computing
- Citation count
- 8
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This research involved the first in-depth ethnographic study of journalist work in the context of the verification of user-generated content in the online newsroom. Undertaken under the EU FP7 Pheme project, this work revealed the complexities of journalist verification work, providing key insights into the challenges and requirements for tools intended to assist journalists with this process. The results have direct relevance for the rapidly growing and important field of AI interpretability, and have informed subsequent projects such as WeVerify (https://weverify.eu). This work won the Best Paper Award at ACM CHI, the most highly rated conference in its field.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -