Predicting the Popularity of Movies with Social Media

Liangye He

2025

Abstract

The film industry occupies an important position in the field of culture and entertainment, and the issue of how to avoid the risk of investing in films has received widespread attention, but the existing prediction methods still have certain shortcomings in terms of accuracy and practicality. This paper thoroughly analyses the various dimensions that influence movie popularity, including movie genre, release time, heat, and other factors, and explores the relationship between these factors and movie popularity. This paper analyses and concludes that factors such as the combination of actors and directors, the running time of the film, and the release time have a significant impact on the popularity of the film and thus establish a prediction model for the popularity of the film. Based on this, this paper makes the following suggestions: if film producers want to increase the popularity of their films, they should pay attention to the release time of their films and the combination of directors and actors. At the same time, industry insiders can use the prediction model in this paper to make decisions about film projects.

Paper Citation

in Harvard Style

He L. (2025). Predicting the Popularity of Movies with Social Media. In Proceedings of the 2nd International Conference on Applied Psychology and Marketing Management - Volume 1: APMM; ISBN 978-989-758-791-7, SciTePress, pages 662-667. DOI: 10.5220/0014150300004942

in Bibtex Style

@conference{apmm25,
author={Liangye He},
title={Predicting the Popularity of Movies with Social Media},
booktitle={Proceedings of the 2nd International Conference on Applied Psychology and Marketing Management - Volume 1: APMM},
year={2025},
pages={662-667},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0014150300004942},
isbn={978-989-758-791-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Applied Psychology and Marketing Management - Volume 1: APMM
TI - Predicting the Popularity of Movies with Social Media
SN - 978-989-758-791-7
AU - He L.
PY - 2025
SP - 662
EP - 667
DO - 10.5220/0014150300004942
PB - SciTePress