TY - GEN
T1 - A novel method to measure the reliability of the bollywood movie rating system
AU - Gupta, Rahul
AU - Garg, Nidhi
AU - Das, Arpan
PY - 2013/5/1
Y1 - 2013/5/1
N2 - The success of a movie is stochastic but it is no secret that it is dependent to a large extent upon the level of advertisement and also upon the ratings received by the major movie critics. The general audience values their time and money and hence, refers to the leading critics when making a decision about whether to watch a particular movie or not. Due to this, several production houses tends to influence the critics to provide fraudulent ratings in order to increase one's business or decrease other movie's business. In our paper, we have used a methodology called Kappa Measure to analyse the concordance of the Bollywood and Hollywood movie ratings among themselves. Our study proves that there is a statistically significant disagreement between Indian critics, implying that the ratings are biased. The Hollywood ratings showed good agreement and thus, are more reliable. This peculiarity had gone unnoticed so far and no previous studies exist regarding such mismatching patterns in the ratings. Such a result implies that there is a considerable bias among Indian critics and thus, the Indian audiences are not getting the benefit of an impartial critic to guide their judgement. The same methodology was used for Tamil movies (Kollywood) to further investigate the agreement among critics with respect to a regional movie industry. The state of affairs is such that even if a viewer relies on a number of independent critics to form a judgement about a movie's worth, she/he is unlikely to form a clear picture of the movie's actual worth. Our paper shows that the Indian viewers should not rely heavily on movie critics and also that the Bollywood movie rating system is in serious need of an overhaul.
AB - The success of a movie is stochastic but it is no secret that it is dependent to a large extent upon the level of advertisement and also upon the ratings received by the major movie critics. The general audience values their time and money and hence, refers to the leading critics when making a decision about whether to watch a particular movie or not. Due to this, several production houses tends to influence the critics to provide fraudulent ratings in order to increase one's business or decrease other movie's business. In our paper, we have used a methodology called Kappa Measure to analyse the concordance of the Bollywood and Hollywood movie ratings among themselves. Our study proves that there is a statistically significant disagreement between Indian critics, implying that the ratings are biased. The Hollywood ratings showed good agreement and thus, are more reliable. This peculiarity had gone unnoticed so far and no previous studies exist regarding such mismatching patterns in the ratings. Such a result implies that there is a considerable bias among Indian critics and thus, the Indian audiences are not getting the benefit of an impartial critic to guide their judgement. The same methodology was used for Tamil movies (Kollywood) to further investigate the agreement among critics with respect to a regional movie industry. The state of affairs is such that even if a viewer relies on a number of independent critics to form a judgement about a movie's worth, she/he is unlikely to form a clear picture of the movie's actual worth. Our paper shows that the Indian viewers should not rely heavily on movie critics and also that the Bollywood movie rating system is in serious need of an overhaul.
UR - https://www.scopus.com/pages/publications/84876750630
UR - https://www.scopus.com/inward/citedby.url?scp=84876750630&partnerID=8YFLogxK
U2 - 10.1109/ICPRIME.2013.6496497
DO - 10.1109/ICPRIME.2013.6496497
M3 - Conference contribution
AN - SCOPUS:84876750630
SN - 9781467358453
T3 - Proceedings of the 2013 International Conference on Pattern Recognition, Informatics and Mobile Engineering, PRIME 2013
SP - 340
EP - 345
BT - Proceedings of the 2013 International Conference on Pattern Recognition, Informatics and Mobile Engineering, PRIME 2013
T2 - 2013 International Conference on Pattern Recognition, Informatics and Mobile Engineering, PRIME 2013
Y2 - 21 February 2013 through 22 February 2013
ER -