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PREDICTIVE ANALYSIS – THE CAPITOL RIOTS
During periods of unrest, the ability to critically analyze and predict escalating negative sentiment and mentions of violence using advanced open-source intelligence is invaluable to Law Enforcement and National Security teams.
In this case study, we explore the use of OSINT to:
- Filter masses of data to predict and uncover threats
- Detect risk in videos, images, and posts across a range of platforms
- Identify chatter and trending negative sentiment
Discover how Fivecast identified patterns in social media immediately following the mass protest events on January 6, 2021, in Washington DC, which could be used to inform security preparations for the inauguration of President-elect Joe Biden.