© 2020 Breaking the Silence – Machine Learning Identified Taboos by Amalia Foka.
machine learning identified taboos
In Kenya, high-risk early pregnancy has long been a societal challenge.
Kenyan media exploded with a disturbing story last month: «Close to 4,000 school girls impregnated in Kenya during COVID-19 lockdown», read one headline. The articles all cited data from a recently released Kenya government health information survey, and most attributed the high pregnancy numbers to the COVID-19...
Read moreTaboo around mental health is slowly changing in Black communities Financial Infidelity and Abuse Because of coronavirus we’re doing things differently.
Even more relevant, however, is the ethos of the Riveter, which offers educational content and services for businesses, promising to help them learn «what is working for other industries and workplaces to increase equity.» Her employees, about 85 percent of...
Tattoos should not be taboo
«In the last few years, tattooing’s gone absolutely berserk.» That’s George Bone’s take on what he sees as the mainstream...
‘The Future is now’ says startups on how COVID-19 is changing our social world.
And so, the lockdown has dragged into plain sight the taboo trade-offs we constantly make between life, liberty, and financial...
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...
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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.
