Algorithms can prevent online abuse

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DIG DEEPER at Norwegian SciTech News:
https://norwegianscitechnews.com/2022/08/algorithms-can-prevent-online-abuse/

The number of abuse cases against children via the internet has increased by almost 50 per cent in five years, according to the Norwegian Broadcasting Corporation. Researchers at NTNU in Gjøvik have developed algorithms that can help detect planned online grooming by analysing conversations.

Millions of children log into chat rooms every day to talk with other children. One of these “children” could well be a man pretending to be a 12-year-old girl with far more sinister intentions than having a chat about “My Little Pony” episodes.

Inventor and NTNU professor Patrick Bours at AiBA is working to prevent just this type of predatory behaviour. AiBA, an AI-digital moderator that Bours helped found, can offer a tool based on behavioural biometrics and algorithms that detect sexual abusers in online chats with children.

And now, as recently reported by Dagens Næringsliv, a national financial newspaper, the company has raised capital of NOK 7.5. million, with investors including Firda and Wiski Capital, two Norwegian-based firms.

In its newest efforts, the company is working with 50 million chat lines to develop a tool that will find high-risk conversations where abusers try to come into contact with children. The goal is to identify distinctive features in what abusers leave behind on gaming platforms and in social media.

“We are targeting the major game producers and hope to get a few hundred games on the platform,” Hege Tokerud, co-founder and general manager, told Dagens Næringsliv.

DIG DEEPER at Norwegian SciTech News:
https://norwegianscitechnews.com/2022/08/algorithms-can-prevent-online-abuse/
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