There’s always a risk that what you hear or read may be fake news.

Accoding to a 2019 global survey by phys, at least 86 per cent of internet users have been duped by fake news most of it spread on social media.

Will AI tackle the fake news?

AI can tackle fake news . AI is able to separate AI authentic news from negative and  learn behaviours of certain aspects.  This gives it the ability to identify fake news by learning from previously incorrectly labeled articles.

AI has made significant progress in identifying virtual deepfakes, particularly in photos and videos shared online. AI uses numerous algorthyms to find and recognize the faked content. It also uses  linguistic techniques to spot bogus news in text-based material.

To identify fake news, linguistic indicators including syntax, choice of language, grammar, hyperbole, and exclamation are frequently examined.

In today’s developing digital information economy, finding and isolating fake news is a crucial issue. However, advances in AI may make it simpler for users of online information to discriminate between fact and fiction. Based on just one cue, GPT-3 can already produce articles, songs, and articles. AI is getting very good at creating objects that simulate people. Open-source tools like DeepFaceLab and many others may make naive new users the main target of societal dissatisfaction because AI has made it so simple to modify all categories of data.

While the data grows bigger monitoring the content authenticity becomes a greater problem. In this aspect, AI has become a hope for data veracity and to plot fake news. To combat the fake news war, certain strategies need to be followed. Web page scoring is one factor in which facts and content accuracy can be plotted. This web page scoring is launched by Google and attempts to analyze the content context without relying on outside parties.

AI also uses Natural Language Processing (NLP) to browse the history of the content and compare the content authenticity with other websites. In this manner, content veracity is measured.

The source in which the news is published also matters. If the news outbreak happens in the popular media or platform then it would not obvious the information is genuine.

By maintaining a good website AI’s machine learning model marks it as genuine. In addition to this Alexa ranking and global ranking also decide the website’s genuineness, upon which whatever the data is disseminated assumes to be true.

Along with all these strategies many companies have come up with tools that would ideally catch the fake news.

Some of the tools that combat fake news include Spike tool which investigates the heaping amount of information from all across the globe and predicts the fact behind the news. Hoaxy, Pheme, and Snopes are a few of the popular tools to recognize fake news.

This article was first published by Analyticsinsight