Algorithmic Media Trials and Digital Manipulation of Judicial Perception in India

Social media platforms have dramatically shaped the connection between public opinion, media presentation and judicial proceedings in India. Criminal investigations and court cases are now a topic of discussion, including on social platforms like Instagram, X/Twitter, WhatsApp, Facebook, and YouTube, all of which are sources of viral content that often influences perceptions of guilt and innocence before court rulings are announced. The current research examines the impact of viral exposure to trial-related information on perceptions of fairness, trust in the system and opinion development by urban Indian adults. Data were gathered using structured survey based methodology and analysed by statistics of description, thematic analysis, reliability testing and Spearman's rank correlation among 43 respondents from different states in India. The results show that there are statistically significant relationships between exposure with viral trial content and perception of social media influence (ρ = .588, p < .001), opinion shaping (ρ = .575, p < .001), rapid judgment formation (ρ = .337, p = .027), and unverified information sharing behaviour (ρ = .451, p = .002). While most respondents considered social media to be more timely when it comes to information on trials than traditional media, many were also aware of how information is emotionally framed, misinformation and how information is algorithmically amplified on social media platforms. The study is based on the ideas of agenda-setting theory, cultivation theory, and framing theory, and suggests that consistent exposure to emotionally charged legal messages may create a misperception of justice and erode trust in institutions over time. The study findings are applicable to broader debates on digital propaganda, media ethics, democratic accountability, judicial integrity in the evolving digital public sphere in India.