Movie sentiment and home entertainment revenue

Rahul Telang () and Liron Sivan ()
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Rahul Telang: Carnegie Mellon University
Liron Sivan: Carnegie Mellon University

Journal of Cultural Economics, 2025, vol. 49, issue 2, No 4, 326 pages

Abstract: Abstract This study examines the impact of box office reviews on home entertainment (HE) sales predictions, a key for movie revenue. Accurate predictions are crucial for estimating potential losses when licensing films to streaming platforms like Netflix or developing promotional strategies. Our findings indicate that, while the average rating and sentiment score of box office reviews do not directly influence sales predictions, extreme negative sentiments significantly affect consumer behavior. Specifically, consumers are less likely to purchase electronic sell-through (EST) and video on demand (VOD) options when confronted with strong negative sentiments in reviews. This suggests that consumers detect and react to negative sentiments in reviews.

Keywords: Sentiment analysis; Reviews; Machine learning; Home entertainment; Consumer behavior; Revenue prediction; Streaming platforms (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s10824-025-09533-5

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