© 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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Why men need to talk about their mental health.
In this episode of Modern Masculinity, Guardian journalist Iman Amrani speaks to men about male circumcision. A third of men...
Focused on his signature foreign policy initiative — the Iran nuclear deal.
Iran’s missile attack after the US assassination targeting Qasem Soleimani, commander of the Iranian Revolutionary Guard Corps Quds Force, and...
Legal commentators have observed that in Thailand, more people should seek advice about their wills.
Thailand rang in 2020 with an effort to tackle the plastic crisis filling the country's waste sites and choking its...
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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...
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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.
