Uncovering Media Bias in Eviction Reporting: A Comprehensive Analysis Utilising Sentiment Analysis Framework and Social Media Data.

This study investigates the prevalence of evictions in South Africa and examines potential disparities between traditional media reporting and social media discourse. Employing a sentiment analysis framework, we extend its application to compare the reporting of evictions in newspaper articles (i.e. conventional media) and Twitter data (i.e. social media). Statistical machine-learning methods are utilized to predict sentiment scores for both types of content, and a chi-square test is employed to evaluate bias between news articles and tweets. The test results reveal a significant bias in the sentiment distribution, suggesting that the dissimilarities observed between articles and tweets are not merely coincidental. [ABSTRACT FROM AUTHOR]