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Why social media ewom movie revenue pre-release? 


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Social media electronic word-of-mouth (eWOM) on social media networks can predict movie revenue prior to release. The volume and valence of conversations on social media platforms, such as YouTube trailer reviews and Twitter posts, are important factors in predicting box-office performance and home video sales. These conversations reflect the awareness, purchase intention, and sentiment of users towards a movie, which can be used to estimate its revenue potential. Studies have shown that the more positive and strong the eWOM conversation, the higher the box office and home video sales. Additionally, social media content can be mined to extract information on user attention, popularity, and comments, which contribute to more accurate revenue predictions. Linear and non-linear regression models based on social media data have been used to predict movie revenues, with the purchase intention of users being a particularly effective predictor.

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The provided paper does not specifically mention why social media eWOM affects movie revenue pre-release.
The paper suggests that intensively advertising a movie before its release on social media could backfire by raising moviegoers' expectations, potentially impacting movie revenue.
The provided paper does not explicitly mention the term "ewom" or discuss why social media is used for predicting movie revenue pre-release. The paper focuses on utilizing social media content, such as user posts and comments, to predict movie box-office revenues using regression models.
The paper discusses how electronic word of mouth (e-WOM) on social media platforms can provide an early indication of a movie's success before its release. It examines factors that contribute to higher levels of e-WOM and its impact on box-office outcomes.
The paper does not explicitly mention "ewom" (electronic word-of-mouth) or why social media is used for movie revenue prediction. The paper focuses on predicting movie revenue using YouTube trailer reviews.

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