The mainstreaming of AI is setting a new precedent for how people relate to non-human sources of intelligence. While automation on a consumer level has typically focused on specific tasks like replying to emails or budgeting, it’s now swiftly expanding to a more dynamic range of applications.

Given the ubiquity of misinformation – from vaccines to the Ukraine crisis – people believe they're capable of spotting fake news but research shows that they're overconfident in their abilities. It’s one reason that tech to teach people to spot real news from fake is being so warmly welcomed.

As fake news continues to flourish across the web, people are looking to tech companies to take charge of the issue and make long-term adjustments to restore the credibility of online news. But with misleading media easier than ever to manufacture, how can trust be created and maintained?

The rapid growth of an online ‘infodemic’ – where fake news and conspiracy theories abound – means it has become difficult to sort fact from fiction. Logically is using AI technology and fact-checkers to help both private companies and the general public combat the spread of misinformation.

Research suggests that the more times a person is exposed to a fake news headline, the more comfortable they feel sharing it online. As political polarisation fuels a tense atmosphere on social media, calls are mounting for these platforms to help reduce the spread of misinformation.