Fake news is no good now! Researchers have created such an AI that catches a lie in a moment, know-how

In today's digital age, a well-told story is more effective than the truth. An emotional anecdote or personal experience leaves a deep impression on our minds and even changes our way of thinking.

Artificial Intelligence: In today's digital age, a well-told story is more effective than the truth. An emotional anecdote, meme or personal experience, all these things leave a deep impression on our mind and even change our way of thinking. But when these stories are used to spread lies, then this power becomes dangerous. Now researchers have started taking help of AI to face this challenge. They are now developing such smart tools that can help in identifying fake and misleading content and stopping it.

Disinformation vs Misinformation

Misinformation means giving wrong information without any intention, such as mistakenly saying that a fact is wrong. On the other hand, disinformation means deliberately spreading lies so that people can be misled.

We humans have been understanding the world through stories since the beginning. These stories shape our thoughts, emotions and social perceptions. This is where the liars start their mission, they create stories that seem more credible than the truth.

For example, the “rescue story of a turtle trapped in plastic” affects us more than environmental data. Such emotional stories spread rapidly on social media. Now AI understands the details, emotions, and timeline of these stories to decide which story is fabricated and which is true.

How does AI catch fake stories?

AI works on many levels

AI checks who the person telling the story is. Example: Hearing the name @JamesBurnsNYT conjures up the image of a trustworthy journalist while @JimB_NYC sounds a little casual. Many fake accounts confuse people through such names. AI understands the intention and pattern behind these names.

Understanding the timeline of a story

Sometimes the events in a post do not happen in a straight line – a beginning somewhere, a flashback somewhere, important things are left out in the middle. AI is now able to understand the correct sequence of events in such stories.

Understanding the meaning of culture

The words, colors or symbols used in a story have different meanings in each culture. For example, a “happy woman in white” may symbolize a wedding in the West but in parts of Asia it may be a sign of mourning. AI is now being trained with cultural sensitivity so that it can recognize the difference.

Who will benefit?

Intelligence agencies can quickly detect fake campaigns with these tools and respond in time. Disaster management agencies can quickly catch misinformation being spread during a natural disaster. Social media companies can send high-risk content for human review through AI, without over-censorship. Researchers can better track the development and impact of stories spreading in different communities. Common users will also benefit, AI will alert them in real time if what they are reading is likely to be false.