Scientific Data Analysis: Employing Sentimental Analysis to Prove Correlation Between Social Media and Electric Vehicles in Modern Society

Abstract

In recent decades, the development of technology has brought several changes in the global society. Enhanced communication methods enabled rapid dissemination of information, impacting peoples’ decision making and consumption. Moreover, indiscreet production and resource consumption caused environmental damage, hence leading to the advent of electric vehicles in the automotive industry. This research paper delves into the influence of social media on market share and stock prices of electric vehicle manufacturers. Social media plays a significant role in conveying information and therefore influencing consumption. To conduct research, we gathered data – tweets, news articles, EV stock prices, EV market shares, air quality of major cities – to prove correlation between social media and EV stock prices. Market data were mainly used for analysis and prediction, and information regarding air quality was used to explain how electric vehicles could gather huge momentum. We analyzed how electric vehicle market shares have changed in 10 years, and how individual manufacturers, such as Tesla, General Motors, and Hyundai, increased production and sales over time, using data analysis and visualization. By comparing these data with media coverage of electric vehicles using sentimental analysis, we could figure out how social media could impact sales and stock prices of automotive producers. The main driving force of the meteoric rise of electric vehicles was favorable media coverage of electric vehicles. Data collection was done by effective Python tools that could significantly reduce time.