© 2020 Breaking the Silence – Machine Learning Identified Taboos by Amalia Foka.
machine learning identified taboos
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They ask, Why do we have to wear masks? We’re not sick.
Don't trust face masks – they won't stop you getting the virus Although people have been pictured wearing them all over...
Read moreCommunity Roles for Young Persian Jews
In November 2018, 250 mostly Iranian American Jews gathered at the Iranian American Jewish Federation for a first-of-its-kind program: the...
Read moreMacron 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...
Read moreAmerica doesn’t need to be in Iraq to advance and maintain its Mideast interests.
The targeted killing of Iranian Quds Force commander Qassem Soleimani last week broke an old taboo: Finally a US president...
Read moreIsrael has never publicly acknowledged its nuclear arsenal
"The Bank of Israel just signaled that, in their view, moving to a negative interest rate, if required, is no...
Read moreThe Catholic Church uses its three I’s
The Roman Catholic Church allows only men to be ordained as priests and women have traditionally been consigned to the...
Read moreThe Taboo of Not Fasting in the forbidden zone: Inside the Saudi cultural awakening.
There’s a growing taboo in our society around the religion of Islam. Beyond the threats of violence, the taboo is also...
Read moreAtrocities on Hindus minorities in Bangladesh
During and after the clearance operation that resulted in more than 700,000 Rohingya fleeing to Bangladesh, human rights groups and...
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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.