© 2020 Breaking the Silence – Machine Learning Identified Taboos by Amalia Foka.
machine learning identified taboos
Money, money, money: Why we should be talking about salaries reduce the wage gap?
Millennials are helping to destigmatize two taboo topics in hopes of eliciting change: money and mental health. It's a generation that's much more comfortable turning to others for help and their perspective on things, eMoney Advisor CEO O'Brien told The New York Post. And yet slowly but...
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Macron finally breaks the taboo around French colonial past
He had the courage, at a time when Algeria is changing and opening up, to tackle a taboo. At a time...
Is an alcohol ban necessary?
Immersed in the country's alcohol industry for a career that includes stints at Bacardi and Pernod, Mehta is both proud...
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.
