Not exact matches
But the exposed database combined people's personal information and
political inclinations — including proprietary information gathered via
predictive modeling tools — to create a detailed profile of nearly 200 million Americans that would be a «gold mine» for anyone looking to target and manipulate voters, said Archie Agarwal, the founder of the cybersecurity firm ThreatModeler.
«Cambridge Analytica will leverage proprietary
predictive models for a) Trump supporters and b)
political issues prioritization c) evangelical and conservative audiences to establish a target audience for Client's fundraising efforts.»
The PNAS paper makes a key point: «These precipitation and temperature effects are statistically significant but have modest influence in terms of
predictive power in a
model with
political, economic, and physical geographic predictors.
«Cambridge Analytica will leverage proprietary
predictive models for a) Trump supporters and b)
political issues prioritization c) evangelical and conservative audiences to establish a target audience for Client's fundraising efforts.»