From tweets to trends: Modeling public opinion for policy insights on emerging technologies

Surabhi Singh, Shiwangi Singh and Sanjay Dhir

Journal of Policy Modeling, 2026, vol. 48, issue 2, 327-342

Abstract: In the evolving innovation landscape, understanding public opinions is important for shaping the trajectory of technological development, influencing the adoption of emerging technologies (ET), and developing policies that can reflect societal values and address public concerns. This study employs structural topic modeling and sentiment analysis to analyze public opinion on X (formerly Twitter). This study identifies six latent topics related to ET. Findings suggest that people are willing to adopt ET. This research bridges computational modeling and policy analysis, offering evidence-based insights. The study provides data-driven recommendations for policymakers and academics to address emerging digital challenges.

Keywords: Public opinion; Social media; X (erstwhile Twitter); Topic modeling; Emerging technologies; Policy implications (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:eee:jpolmo:v:48:y:2026:i:2:p:327-342

DOI: 10.1016/j.jpolmod.2025.06.024

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