Creating corroborated crisis reports from social media data through formal concept analysis
- Submitting institution
-
Sheffield Hallam University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1339
- Type
- D - Journal article
- DOI
-
10.1007/s10844-016-0404-9
- Title of journal
- Journal of Intelligent Information Systems
- Article number
- 2
- First page
- 287
- Volume
- 47
- Issue
- 2
- ISSN
- 0925-9902
- Open access status
- Out of scope for open access requirements
- Month of publication
- May
- Year of publication
- 2016
- 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
-
3
- Research group(s)
-
-
- Citation count
- 9
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Funded by the €2.6m ATHENA project (313220)and was underpinning research in the development of the Security Communications and Analysis Network for the United Nations. SCAAN provides security for frontline staff in dangerous environments. Over 13,000 UN staff use SCAAN in 153 countries. The UN International Organization for Migration called SCAAN the “new generation standard for security communications to support the UN security management system”. SCAAN was implemented by the World Health Organisation for their 500 staff in the DRC in their Ebola response. The International Telecommunications Union and the International Criminal Court each have 1,000 staff using SCAAN.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -