Remove term: AI is preventing fake news spread AI is preventing fake news spreadAI is preventing fake news spread and alarms the respective platforms in case of mishaps.

Fake news and misinformation have a long way back in history. In 2014, when news outlets reported the outbreak of Ebola, the news made Texas residents go berserk. It was spreading on social media like wildfire, creating panic across the city. However, later people discovered that it was just misinformation. Almost seven years from there, the use of social media and the influence of artificial intelligence have drastically surged today. Along with the digital transformation, fake news and misinformation are also spreading shock waves across the globe constantly. Fortunately, artificial intelligence and machine learning is the only solution that news outlets and social media giants can rely on. Yes, AI is preventing fake news spread and alarms the respective platforms in case of mishaps.

Any news becomes fake news if the information provided is incorrect or doesn’t correlate with facts. Besides, some information gets old over time and becomes fake. When it comes to handling fake news, nothing is more powerful than artificial intelligence. With its advanced behavioral analysis capabilities, AI is preventing fake news spread by flagging inaccurate information. It takes hints from previous manual alerts, which help the technology take effective decisions to block the news. Today, big tech giants like Facebook, Twitter, and Whatsapp are also using AI in fake news detection. Initially, the social media companies manual fact-checkers to go through every post. But as technology evolved, artificial intelligence and machine learning applications are used to identify words or patterns of misinformation.

Machine Learning and NLP in Misinformation

It is not just artificial intelligence that is going against all the fake news on the web. Even sub-technologies like machine learning and NLP-based models are used in finding misinformation.

Since the number of internet users, especially, social media has seen a spike, automatic detection is the only way to counter fake news spread. Machine learning and natural language processing (NLP) uses text-based approaches to figure out fake content. It also uses pattern recognition to flag fake news based on previous cues from articles that were labeled as inaccurate by people. Today, deep learning-based models are also helping to classify fake news and legitimate news.

The Human-AI Partnership in Fake News Detection

Although machines are of good use when it comes to shielding against misinformation, a combination of humans and AI could take the work to another level. Yes, the human-AI combo can succeed computational propaganda. When human skills collaborate with machine learning and deep learning, it can open the door to a world free of disinformation and political agenda.

Challenges in Using AI to Find Disinformation

Although AI is an impressive technology and all its sub-technologies are revolutionizing every industry verticals, it sometimes goes against the freedom of speech and expression views. We are living in a world where even humans can’t judge whether the provided information is fake or not. Therefore, what if authoritarian governments use AI to filter articles that are countering their actions and blame it on technology? The question remains unanswered until an advanced feature emerges to combat info against such biased governments.

Along with the digital transformation, fake news and misinformation are also spreading shock waves across the globe constantly. Fortunately, artificial intelligence and machine learning is the only solution that news outlets and social media giants can rely on. Yes, AI is preventing fake news spread and alarms the respective platforms in case of mishaps.