Longitudinal Abuse and Sentiment Analysis of Hollywood Movie Dialogues using Language Models
Rohitash Chandra, Guoxiang Ren, Group-H

TL;DR
This study analyzes Hollywood movie dialogues from 1950 to 2024 using language models to track trends in abuse and sentiment, revealing a gradual increase in abusive content and genre-specific patterns over time.
Contribution
It introduces a longitudinal analysis of abusive and emotional content in Hollywood movies using fine-tuned language models, covering over a thousand films across seven decades.
Findings
Significant rise in abusive content in recent decades.
Thrillers exhibit higher levels of violence and conflict.
Positive emotions like humor remain prevalent.
Abstract
Over the past decades, there has been an increase in the prevalence of abusive and violent content in Hollywood movies. In this study, we use language models to explore the longitudinal abuse and sentiment analysis of Hollywood Oscar and blockbuster movie dialogues from 1950 to 2024. We provide an analysis of subtitles for over a thousand movies, which are categorised into four genres. We employ fine-tuned language models to examine the trends and shifts in emotional and abusive content over the past seven decades. Findings reveal significant temporal changes in movie dialogues, which reflect broader social and cultural influences. Overall, the emotional tendencies in the films are diverse, and the detection of abusive content also exhibits significant fluctuations. The results show a gradual rise in abusive content in recent decades, reflecting social norms and regulatory policy…
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Taxonomy
TopicsMental Health via Writing · Sentiment Analysis and Opinion Mining
MethodsOSCAR
