<p>The transportation sector is facing a need for sustainable alternatives due to the challenges posed by climate change, urbanization, and dependency on fossil fuel. Electric vehicles (EVs) have emerged as a key solution to these mobility problems globally. However, the adoption of EVs remains uneven across regions due to infrastructural, economic, and consumer-related barriers. In this study, we examine the role of organization generated content (OGC) in influencing public sentiment and engagement with EV-related material. Using advanced computational methods, including topic modelling with Latent Dirichlet Allocation (LDA), sentiment analysis, and predictive modelling, the research identifies critical themes driving online discussions and user engagement. We find that topics such as carbon emissions, charging infrastructure, EV finance and repair, and popular car features significantly impact user sentiment and engagement. Posts emphasizing technological advancements, affordability, and infrastructure growth lead to positive engagement, while concerns like range anxiety and cost generate neutral or negative responses. We also discover how government organizations, non-government organizations (NGOs), and corporates, should tailor their messaging to influence public perception. This research contributes to the literature on sustainability communication and computational social science by providing actionable insights into how organizations can communicate on social media. It highlights the importance of strategic, visually engaging, and data-driven communication to address consumer concerns, drive meaningful engagement, and ultimately promote the adoption of EVs. The paper provides implications for policymakers, social media managers, and sustainability advocates striving to foster environmentally friendly transportation solutions.</p>