Human-machine detection of online-based malign information
Bibliographic Data
| ID | 19902905 |
|---|---|
| Authors | William Marcellino (RAND Europe), Kate Cox (RAND Europe), Katerina Galai (RAND Europe), Linda Slapakova (RAND Europe), Amber Jaycocks (RAND Europe), Ruth Harris (0000-0002-6916-0518, RAND Europe, corresponding author) |
| Year | 2020 |
| Publication date | 2020-01-01 |
| Open Access | No |
| Type | BOOK |
| Publisher | RAND Corporation (PUBLISHER • US) |
| DOI | 10.7249/rra519-1 |
| OpenAlex | W3035923280 |
| Language | EN |
| Citations received | 2 |
| References cited | 4 |
As social media is increasingly being used as a primary source for news online, there is a rising threat from the spread of malign and false information.In this context, RAND Europe developed a method to detect the malign use of information online for the UK Ministry of Defence's Defence and Security Accelerator
Christian ministry · Computer security · Context (archaeology) · Data science · Internet privacy · Political science · Social media · World Wide Web · Computer Science · Cybercrime and Law Enforcement Studies · History · Misinformation and Its Impacts · Spam and Phishing Detection
| Unique citing works | 2 |
|---|---|
| Citations per year | 0,4 |
| Citation span | 2021 - 2022 (2) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 2 |