Griffith University: Big Data Analysis of Election Results by Stantic

This presentation analyzes Bella Stantic's use of big data to predict election outcomes, specifically focusing on the 2019 Australian election and the 2016 US election. The analysis covers five key aspects of big data: variety (the sample size of data, including over half a million Twitter accounts), volume (the amount of data, such as 2 million tweets), velocity (the speed at which data is generated and accessed), veracity (the accuracy and trustworthiness of the data, addressing the impact of 'zombie' tweets), and value (the usefulness and significance of the data). The presentation contrasts Stantic's approach with traditional polls, highlighting the limitations of polls due to small sample sizes and potential inaccuracies. The study reveals the importance of social media data analysis in predicting election results and emphasizes the high value and accuracy of the collected data, especially when compared to traditional polling methods.