Injustice occurs when someone experiences unfair treatment or their rights are violated and is often due to the presence of implicit biases and prejudice such as stereotypes. The automated identification of injustice in text has received little attention, due in part to the fact that underlying implicit biases or stereotypes are rarely explicitly stated and that instances often occur unconsciously due to the pervasive nature of prejudice in society. Here, we describe a novel framework that combines the use of a fine-tuned BERT-based bias detection model, two stereotype detection models, and a lexicon-based approach to show that epistemological biases (i.e., words, which presupposes, entails, asserts, hedges, or boosts text to erode or assert a person's capacity as a knower) can assist with the automatic detection of injustice in text. The news media has many instances of injustice (i.e. discriminatory narratives), thus it is our use case here. We conduct and discuss an empirical qualitative research study which shows how the framework can be applied to detect injustices, even at higher volumes of data.

This article was originally featured in Foreign Policy, the magazine of global politics and ideas. A family snap of the Princess of Wales with her three children has dominated headlines and group chats since its release on U.K. Mother's Day last weekend. Princess Catherine, whom the palace says is recovering from a January abdominal surgery, is known chiefly for never putting a foot wrong during nearly two decades of intense public scrutiny--first as the girlfriend of Prince William, then as a wife and mother to future kings, and an advocate for uncontroversial but important causes, such as early childhood development. Yet, even for a woman defined by her seeming perfection--Hilary Mantel once wrote that the former duchess appeared to have been designed by a committee and built by craftsmen--the Mother's Day photo of Catherine and her family was judged to be a little too perfect. The uncanny valley of the photo was prime territory for conspiracy theories, already circulating, that the princess is missing or perhaps even dead.

If you're looking for an image that perfectly showcases the confusion and chaos of a choose-your-own-reality information dystopia, you probably couldn't do better than yesterday's portrait of Catherine, Princess of Wales. In just one day, the photograph has transformed from a hastily released piece of public-relations damage control into something of a Rorschach test--a collision between plausibility and conspiracy. For the uninitiated: Yesterday, in celebration of Mother's Day in the U.K., the Royal Family released a portrait on Instagram of Kate Middleton with her three children. But this was no ordinary photo. Middleton has been away from the public eye since December reportedly because of unspecified health issues, leading to a ceaseless parade of conspiracy theories. Royal watchers and news organizations naturally pored over the image, and they found a number of alarming peculiarities.

Everyone from influencers to celebrities - and now, even the British monarchy - have been caught altering their photos shared online. Experts say it is becoming increasingly difficult with AI and photo-editing apps - but there are still 10 giveaways that you should be aware of. These include checking the edges of people and objects, investigating shadows and inspecting the background for curves. The tips comes as multiple major news agencies withdrew Kensington Palace's first photo of Princess of Wales Kate Middleton on Sunday, after picture editors noticed at least 16 different details that did not look right. Kensington Palace yesterday released the first picture of the Princess of Wales since surgery. Major news agencies quickly pulled the photo after editors noticed more than a dozen details that suggested it had been altered.

It's the fast-growing technology that continues to fool millions of social media users around the world - but how adept are YOU at spotting a fake AI photo? From the Pope posing in a puffer coat to Donald Trump being arrested on the streets of New York, images created by artificial intelligence are becoming increasingly convincing. While some of the snaps are clearly fake and designed to amuse or make a political statement, there are experts who fear the technology's potential as a weapon of mass disinformation. It comes as a German artist who won the Sony World Photography Award this week refused to accept his prize after revealing his black and white portrait of two women was in fact created by AI. Boris Eldagsen tricked competition organisers with his entry, Pseudomnesia: The Electrician - a haunting close-up of two women in a grainy sepia which won the creative open category.

The British glove manufacturer Cornelia James is often in the public eye. Since 1979, it has provided gloves by royal appointment to the Queen of England, and more recently it has dressed megastars including Rihanna, Taylor Swift and Madonna. All those high-profile customers are great for publicity, but nobody drives sales quite like Kate Middleton, said Genevieve James, the company's creative director. "We get far more of a spike in sales when someone like Kate wears them. But when it's somebody like the Duchess of Cambridge, the public, particularly in the US, can relate to that," James told IBM. James first confirmed that fact in 2012 when, at a ceremony for Remembrance Sunday, Middleton wore a pair of Cornelia James' merino wool gloves.