[Future / Now] — A New Wave of Nationalism and Anti-Immigration

AI+News: stories written by journalists empowered by AI

The anti-globalization sentiment around the world (ironically, disseminated in the planet through the channels of communication that globalization created) will keep bringing far right groups and politicians to power. A new wave of nationalism and anti-immigration will keep gaining traction, with a violent discourse that in many cases will impact immigrants and other minorities.
 Terrorism will not be an exclusively international threat anymore. Particularly in European cities, local ultra-conservative propaganda will target foreigners, LGBT populations, religious groups, etc. Liberal politicians will also be targeted. These groups will be the new “enemy” in far-right propaganda, as opposed as the international terrorist organizations of lore such as ISIS or al-Qaeda. 
 South and Central America are also regions sensitive to this trend, mostly due to large-scale involuntary migration and politicians in need of a scapegoat.

This story was written by a journalist empowered by AI.

The journalist is Giomar Silva (@G_SV), founder of Migrante21 (@Migrante21). Giomar has an extensive background as a reporter and editor in Peru and Washington, D.C. After covering stories about human rights, culture, technology and politics in Peru, he focused on immigrant and minorities issues as a web editor at Washington Hispanic, the largest Spanish-language newspaper in the D.C. area. His interest in these topics led him to found Migrante21, a bilingual website that aims to document the immigrant experience in America.

The AI is Minerva, a system created by Libre AI, that predicts and visualizes the (non-obvious) interconnections of global risks that will be at the core of tomorrow’s news.

Minerva leverages news data collections available in the Web and uses Artificial Intelligence based on Machine Learning (AI/ML) to discover the multiple relations among global risks, a data-driven approach that is more appealing in terms of timeliness and efficient discovery of such relations than current methodologies based on opinion surveys.