© 2020 Breaking the Silence – Machine Learning Identified Taboos by Amalia Foka.
machine learning identified taboos
HIV. Let’s talk about it.
Menses is generally perceived "unclean" and menstrual taboos are well described across many cultures. Although Western cultures have evolved from the menstrual discriminations and taboos, sexual activity during menstruation is still perceived to be risky and dangerous for both parties. Viruses like Hepatitis B and HIV can...
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Sean Clare on his Black Lives Matter protests are boosting Tunisia’s anti-racist movement.
This might sound taboo, but it’s something most black people have been on the receiving end of. Pure Taboo kinkily...
Human Rights Watch condemned Egypt
From Identity to Self Expression: The Evolution of Tattoo Culture in Egypt Tattoo culture in Egypt has a history that is...
The church’s concern with these issues is not new.
While the church became a welcome space for her to express her heritage, the community didn’t necessarily prove a comfortable...
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Discrimination and xenophobia materialise in specific ways in France
The government has launched a public awareness campaign to make plastic bags taboo. It has...
Politics
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.
