Sentinel: a co-designed platform for semantic enrichment of social media streams
- Submitting institution
-
Cardiff University / Prifysgol Caerdydd
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 96495974
- Type
- D - Journal article
- DOI
-
10.1109/TCSS.2017.2763684
- Title of journal
- IEEE Transactions on Computational Social Systems
- Article number
- -
- First page
- 118
- Volume
- 5
- Issue
- 1
- ISSN
- 2329-924X
- Open access status
- Compliant
- Month of publication
- December
- Year of publication
- 2017
- URL
-
http://dx.doi.org/10.1109/TCSS.2017.2763684
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
6
- Research group(s)
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A - Artificial intelligence and data analytics
- Citation count
- 6
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The Sentinel software established a collaboration with National Counter-Terrorism Functions Command and four UK police forces to investigate open-source information for policing (http://upsi.org.uk/oscar). Sentinel has since been widely used to inform policymakers of the threat of online disinformation, including the UK Government (https://publications.parliament.uk/pa/cm201719/cmselect/cmcumeds/1791/1791.pdf), the US Government (https://docs.house.gov/meetings/FA/FA14/20190521/109537/HHRG-116-FA14-Wstate-RosenbergerL-20190521.pdf), and received international media coverage (e.g., https://www.theguardian.com/uk-news/2017/dec/18/russia-linked-twitter-accounts-tried-to-divide-uk-after-terrorist-attacks).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -