TY - GEN
T1 - Controversy is marketing
T2 - 43rd Annual Hawaii International Conference on System Sciences, HICSS-43
AU - Zhang, Zhu
AU - Li, Xin
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/77951756385
U2 - 10.1109/HICSS.2010.121
DO - 10.1109/HICSS.2010.121
M3 - Conference article published in proceeding or book
AN - SCOPUS:77951756385
SN - 9780769538693
T3 - Proceedings of the Annual Hawaii International Conference on System Sciences
BT - Proceedings of the 43rd Annual Hawaii International Conference on System Sciences, HICSS-43
Y2 - 5 January 2010 through 8 January 2010
ER -