© 2020 Breaking the Silence – Machine Learning Identified Taboos by Amalia Foka.
machine learning identified taboos
international relations
Singapore is now, more than ever, divided into two cities, two populations
The business of death and dying has long been taboo across much of Asia; cemeteries and nursing homes near residential...
Read moreDeterrence, Norms, and the Nuclear Taboo.
Iran’s strike has destroyed the taboo of «the invulnerable United States», which happens to exist in many anti-US organizations in...
Read moreIntense debate on social media in the central African nation, where homosexuality is still broadly seen as a taboo
The government’s move to reverse part of the law has sharply divided opinion and sparked intense debate on social media...
Read moreEuthanasia is illegal in China and in most of the world.
A body of the National People's Congress, the country's highest law-making institution, has publicly acknowledged petitions to legalize same-sex marriage,...
Read moreAtrocities on Hindus minorities in Bangladesh
During and after the clearance operation that resulted in more than 700,000 Rohingya fleeing to Bangladesh, human rights groups and...
Read moreDiscrimination and xenophobia materialise in specific ways in France
The government has launched a public awareness campaign to make plastic bags taboo. It has run television ads that pixelate plastic...
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Breaking The Silence
Breaking The Silence uses machine learning methods to understand what are the contemporary taboo topics. It aims to highlight and bring to focus what topics are currently discussed as taboos. The generated summarizations underline the different topics discussed at different times and additionally the arguments for the creation, maintenance, or destruction of a taboo. Learn more.