MISINFORMATION BY ALGORITHMIC AMPLIFICATION AND POLARISATION

Abstract

 In today’s digital world, social media platforms play a major role in how people get information. These platforms use algorithms to decide what content users see. The main goal of these algorithms is to keep users engaged by showing posts they are more likely to like, share, or comment on. However, this system often promotes sensational, emotional, or controversial content, which can include misinformation (false or misleading information). Algorithmic amplification means that once a piece of content starts getting attention, the platform shows it to even more people. If the content is misleading or false, it can spread very quickly to a large audience. Since people are more likely to interact with shocking or emotionally charged posts, misinformation often spreads faster than accurate information. At the same time, these algorithms tend to show users content similar to what they already believe or prefer. This creates “echo chambers,” where people mostly see opinions that match their own. Over time, this leads to polarization, where different groups of people develop strong and opposing views, and become less willing to accept other perspectives. The combination of algorithmic amplification and polarization makes misinformation more powerful and harmful. It can influence public opinion, create confusion, reduce trust in news and institutions, and even affect important decisions in society. To reduce these problems, it is important to improve how algorithms work, promote digital literacy so users can identify false information, and encourage platforms to take responsibility for the content they spread. By understanding how misinformation spreads, steps can be taken to create a more informed and balanced society.