Impact of Social Media Algorithms on Public Decision

Abstract: This research paper explores the profound impact of social media algorithms on public decision-making in the digital age. With the increasing reliance on social media platforms for information, these algorithms play a central role in curating personalized content that influences users' beliefs, preferences, and decisions. By examining the mechanisms of social media algorithms, the paper delves into their effect on shaping public opinion, political discourse, social movements, and consumer behaviour. It highlights the phenomenon of the "filter bubble," where exposure to a narrow range of views can amplify polarization and facilitate the spread of misinformation. Through a thorough analysis of existing literature and empirical studies, the paper provides insights into how algorithms influence public decision-making processes and calls for greater awareness of their societal implications. The findings emphasize the need for responsible algorithmic design to mitigate negative impacts and ensure more balanced and diverse information flow. Keywords: Social media algorithms, public decision-making, Personalized content, public opinion, Polarization, Filter bubble, Algorithmic design, Societal implication