Recipient
Simon Fraser UniversityDepartment
Public Safety CanadaAmount
$28.8K
Province
BCType
C
Agreement Number
2918491
Purpose
In order to understand how to accurately and rapidly identify disinformation attacks, the applicant proposes to analyze content in existing databases, which contain extensive materials already gathered from previously identified disinformation attacks. They will then employ artificial intelligence, combining their Dark Crawler, SentiStrength, Posit and TensorFlow, to compare known disinformation attacks to "normal" information harvested from social media, in order to calculate the differences in language used during disinformation attacks. This will allow them to develop typologies of past and present hostile activities against Canada and other Allied nations, identify indicators of change in public opinion (esp. as they relate to hostile disinformation activities), identify the social media techniques of hostile actors (and how best to respond to them), as well as to undertake cross-cultural analyses, to determine how hostile actors seek to fuel tensions and undermine social cohesion by exploiting cultural sensitivities.
Simon Fraser University × Public Safety Canada
3 grants totalling $127.5K
Cyber Security Cooperation Program
9 grants totalling $676.4K
Related Grants
| Recipient | Amount | Program |
|---|---|---|
| Centre for International Governance Innovation|Centre pour l'innovation dans la gouvernance internationale | $300.0K | Cyber Security Cooperation Program |
| HealthCareCAN|SoinsSantéCAN | $99.5K | Cyber Security Cooperation Program |
| Université de Montréal, SERENE-RISC | $86.7K | Cyber Security Cooperation Program |
| University of Montreal - SERENE RISC|Université de Montréal - SERENE RISC | $67.1K | Cyber Security Cooperation Program |
| Simon Fraser University | $43.7K | Cyber Security Cooperation Program |