Structural topic modeling reveals public willingness to adopt emerging technologies, guiding data-driven policy addressing digital challenges effectively.
Authors
Surabhi Singh, Jindal Global Business School, O.P. Jindal Global University, Sonipat, Haryana, India
Shiwangi Singh, Indian Institute of Management Ranchi, Jharkhand, India
Sanjay Dhir, Indian Institute of Technology Delhi, New Delhi, India
Summary
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.
Published in: Journal of Policy Modeling
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