It’s being rightly said that “Lies spread faster than the truth” and presently, we all are living in the world of post-truth. A society containing fake news and distorted truth. A place where everyone believes what they want to believe forfeiting everything else. Fake news might have become a scorching subject right now, but the truth is, there’s always been fake news.
Fake media is the reason why the internet is heading in the wrong direction whether it comes from legitimate sites or from bogus social media accounts, placing fake news in the public domains like Facebook, Whatsapp, Twitter and others is still one of the biggest problems.
Fake News By The Numbers
As per a survey conducted by Statista,42% of the social media channels are responsible for spreading the Fake News,and 30% of the fake news are being spread from bogus websites.
The survey also mentions that the current fake news market is currently fluctuating between 70.8 thousand /118 thousand clicks per month on Google Search and has over 251.2 thousand mentions on Twitter per month.
How AI Can Help us?
AI promotes the learning of pattern behaviours through pattern recognition techniques. Numerous algorithms have evolved over the last couple of years to distinguish between human and AI-generated content. These algorithms are generally developed by training/feeding several data sets which contain valid information from different sources. And based on the power of artificial intelligence, fake news can be detected by taking a cue from stories that people in the past have reported as inaccurate.
AI enhances the fact-checking process in collaboration with manforce. Together, machine learning and AI could fight digital misinformation, disinformation, and political abuse in a variety of other ways. With the help of AI, we are not programming them. Rather, they are being taught how to function as per the data that will be generated.
Since the main objective of developing such AI-based algorithms and tools is to distinguish between the real and fake datasets and while doing so one must first teach the system what these are. One needs to feed all the virtual dataset libraries in order to help AI learn Human patterns. Artificial intelligence offers some features which help us rate the authenticity of the news and identify if it is fake or not. The best way to fight against fake news is to use an automated tool. The Artificial intelligence and machine learning techniques became more sophisticated and efficient when the big data came into the frame.
Let’s have a deeper look into how AI can help us in preventing the spread of fake news.