Controversy is Marketing: Mining Sentiments in Social Media
Zhu Zhang, Xin Yan Li · 2010
We propose a set of novel quantitative measures for controversy derived from statistical properties of textual social media. We empirically establish strong positive correlations between social media controversy and sales performance across multiple datasets. The power of the newly proposed measures is further illustrated in a linear regression model for predicting product sales.