Two International Propaganda Models: Comparing RT and CGTN’s 2020 US Election Coverage

Modeling and forecasting US presidential election using learning algorithms

The primary objective of this research is to obtain an accurate forecasting model for the US presidential election. To identify a reliable model, artificial neural networks (ANN) and support vector regression (SVR) models are compared based on some specified performance measures. Moreover, six independent variables such as GDP, unemployment rate, the president’s approval rate, and others are co...

Web Coverage Of The 2004 US Presidential Election

When corporations, news media and advocacy organizations embrace networked information technology, intentionally or unintentionally, they influence democratic processes. To capture and understand the influence of publicly available electronic content, the US Election 2004 Web Monitor tracked the online coverage of US presidential candidates, and investigated how this coverage reflected their po...

Using YouTube to Teach Presidential Election Propaganda : Twelve Representative Videos

concepts to fully understand the propaganda they encounter every time they turn on their televisions or surf the Internet during an election year. If students are to make informed political decisions as adults, then they must learn to decipher ways politicians manipulate media. The good news is that access to presidential propaganda has never been easier. The Internet, in particular, is a wonde...

IFPRI 2020 International Conference

election molding theory and organizations , asking international

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