Articles on Stereotypes

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Can machine learning help us find – and reduce – gender bias? Doctor/nurse via shutterstock.com

Removing gender bias from algorithms

Algorithms that learn from large data sets can pick up inherent social biases. That could perpetuate the biases, or even worsen them.
He is in a wheelchair, she has multiple sclerosis, but their neighbours know Grzegorz and Magda as a loving couple. Flickr/Dominik Golenia/In sickness and in health

Love and disability: ‘inter-ability relationships’ conquer stereotypes

Our notions of what makes a person a desirable 'love interest' are often superficial and involve an element of deception. For someone with a severe disability, finding love is even more complicated
You can do a lot while you sleep. Woman via www.shutterstock.com.

Can we unlearn social biases while we sleep?

We strengthen memories while we sleep, and researchers have found a way to cue that process to help people better retain information that counters implicit biases.
There are ‘his’ and ‘hers’ apps for raising a baby. NotarYES/Shutterstock

Many parenting apps are reinforcing the gender divide

Almost every day, a smartphone app emerges offering some new and exciting functionality. But it’s come to my attention that many of these apps are continuing an old trend: they are purveyors of gender-based…
Bogans may inspire humorous warmth, as in the TV series Housos, but they are also associated in our minds with feral or animal-like qualities. AAP/SBS

Class stereotypes: chavs, white trash, bogans and other animals

The Conversation is running a series, Class in Australia, to identify, illuminate and debate its many manifestations. Here, Nick Haslam reveals that some social groups are consistently seen as being more…
The NotYourAsianSidekick hashtag has ignited a worldwide online conversation about racial stereotyping. Femi Oke/Twitter

Not your Asian stereotype: the fight for diverse identities

In December, I was catching up with a friend over a few glasses of wine. My friend is a white male in his 60s. A passer-by, also a white male, about the same age, stopped by our table. It quickly became…

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