Abstract:
The psychological impact of social media algorithms, with a concentration on Facebook,
in forming political opinions among Sri Lanka's most prevalent users is investigated in
this research report. Social media sites, notably Facebook, play an important role in spreading political information and shaping public debate. These platforms' algorithms are
meant to curate material based on user preferences, adding to an echo chamber effect that may exacerbate political division. This study investigates how Facebook algorithms
influence the formulation and reinforcement of political opinions among users in Sri Lanka's most prevalent age group using a quantitative method that includes surveys and
questionnaires. The study investigates how these algorithms lead to the formation of filter
bubbles, in which individuals are mostly exposed to content that aligns with their previous
ideas, restricting exposure to alternative perspectives. The psychological mechanisms
underlying algorithm-driven content curation will be thoroughly examined, including
cognitive biases, confirmation bias, and the impact of emotionally charged content on user
engagement. The study also investigates the role of social validation and identity
reinforcement because of exposure to politically aligned content. The outcomes of this
study are intended to contribute to our understanding of the complex interaction between
social media algorithms and political discourse. This study aims to inform conversations
about the ethical implications of algorithmic content curation by offering insight into the
potential ramifications for democratic processes and the building of an informed citizenry.
The findings could help shape policies that foster a more diverse and balanced information
environment on social media platforms.
