From Likes to Laws: The Algorithmic Pipeline from Social Media Engagement to Social, Economic, and Political Change
Yash Seela
Algorithm, Social Change, Transparency, Responsible Innovation, Digital Literacy, Civic Engagement.
Social media has become an inescapable force, transforming how we consume information and interact with the world. But beneath the surface of our "likes" and shares lies a complex web of algorithms, wielding unseen power to influence our behaviour and beliefs. This paper explores the intricate pipeline connecting social media engagement to profound social, economic, and political change. We delve into the inner workings of algorithms like EdgeRank, revealing how seemingly innocuous interactions become data points that shape our online experiences. The paper analyses the potential negative consequences of these algorithms, including the creation of echo chambers, the erosion of trust in news sources, and the manipulation of public opinion. However, the paper doesn't stop at critique. We explore potential solutions, advocating for greater algorithmic transparency, user control over content curation, and collaboration between policymakers and tech companies to ensure responsible innovation in the social media landscape. This research investigates the potential downsides of algorithmic influence, with a specific focus on microphone access in India and its emerging privacy considerations. We propose solutions that empower users to navigate the digital landscape with greater awareness and control, fostering a responsible and ethical approach to algorithmic design. Ultimately, this research aims to empower users to navigate the digital world with greater awareness and encourage a future where social media algorithms serve as tools for positive societal transformation.
Article Details
Unique Paper ID: 163288

Publication Volume & Issue: Volume 10, Issue 11

Page(s): 1370 - 1378
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