Organised crime and social media; a system for detecting, corroborating and visualising weak signals of organised crime online
- Submitting institution
-
Sheffield Hallam University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1465
- Type
- D - Journal article
- DOI
-
10.1186/s13388-018-0032-8
- Title of journal
- Security Informatics
- Article number
- 3
- First page
- -
- Volume
- 7
- Issue
- 1
- ISSN
- 2190-8532
- Open access status
- Compliant
- Month of publication
- December
- Year of publication
- 2018
- URL
-
-
- 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
- Yes
- Number of additional authors
-
2
- Research group(s)
-
-
- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Funded as part of the £3m European ePOOLICE project (Grant ID: 312651) and made a significant contribution to the development of an open-source intelligence hub. This has improved access to digital intelligence and support for police forces internationally and across the UK and led to successful outcomes in over 20 law enforcement agencies capabilities in counterterrorism, serious crime and child sexual exploitation. It also contributed to the development of software able to identify and stream valuable intelligence enabling the United Nations to counter COVID misinformation spread online.
The work contributed to securing the £4.4m European TENSOR project (Grant ID: 700024).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -