© 2020 Breaking the Silence – Machine Learning Identified Taboos by Amalia Foka.
machine learning identified taboos
Millions lying to partners about money doesn’t have to make us cringe.
What rules shaped humanity's original social networks? Researchers in Japan developed new mathematical models to understand what conditions produced traditional community structures and conventions around the world, including taboos about incest. Experts in anthropology consider the incest taboo to be an extremely common social rule affecting kinship...
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Removing taboo around UK men’s mental health taboo.
The leaders says that, over the past few years, talking about mental health in the UK has become far less...
In Nigeria, divorces are hardly ever discussed in public.
Cynthia’s period pad initiative has become a powerful symbol in a conservative country where discussions around menstruation and sexual health...
Period. – J. Blaming Women for Infertility in the #MeToo era How ‘Normalised’ is Sex before Marriage in Pakistan?
Until now, advertisers have largely focused on the first, aspirational scene as a way of drawing more women into exercise,...
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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.
