Adoção dos veículos elétricos no Brasil: uma análise de percepções públicas via rede social Bluesky

Abstract

The growing global concern about climate change highlights the urgency of seeking more sustainable alternatives for energy generation and consumption. Considering that the transport sector contributes significantly to pollutant emissions and environmental degradation, it emerges as a central element in this transformation process. Electric vehicles present themselves as an environmentally advantageous alternative, as they reduce emissions and the environmental impacts associated with transportation. From an economic perspective, the adoption of electric vehicles also reduces users’ costs, including savings on fuel and maintenance. The main objective of this study is to analyze the public perception of the adoption of electric vehicles in Brazil through the collection and interpretation of data obtained on the social network Bluesky, using the Communalytic tool. The quantitative and descriptive methodology proved to be adequate to achieve the proposed objectives. Using the expressions “carro elétrico”, “carros elétricos”, “veículo elétrico” and “veículos elétricos” as search filters resulted in a dataset of 4,638 records collected over one year on Bluesky. The use of Communalytic’s analytical modules enabled the processing of unstructured data in different ways. The civility analyzer showed that although overall averages indicate low toxicity, highly reliable posts are concentrated in the categories of toxicity, insult, and profanity, while pro-social posts showed low occurrence. The sentiment analyzer revealed a predominance of negative feelings (40.04%), followed by positive (32,69%) and neutral (27,27%), indicating a tendency toward negativity. Topic analysis demonstrated that terms such as batteries, hybrids, price, charging, tariffs, and autonomy are central expressions of interest and represent the main discussion focuses among users. Therefore, it is concluded that the debate is predominantly neutral but contains a small and consistent core of toxic interactions, indicating the occasional presence of hostile behaviors in the analyzed dataset.