基于语言模型的好莱坞电影台词纵向辱骂内容与情感分析
Longitudinal Abuse and Sentiment Analysis of Hollywood Movie Dialogues using Language Models
AI总结：
本研究利用微调语言模型分析1950-2024年千余部好莱坞电影台词的辱骂内容与情感纵向变化，发现近几十年辱骂内容上升、惊悚片占比高，积极情绪仍普遍，且奥斯卡提名片辱骂内容反超票房前十大片。
摘要：
过去几十年间，好莱坞电影中辱骂与暴力内容的出现频率呈上升趋势。本研究使用语言模型，对1950年至2024年好莱坞奥斯卡电影及票房大片的台词开展纵向辱骂内容与情感分析。我们分析了超一千部电影的字幕，这些电影被划分为四种类型。研究采用经过微调的语言模型，探究过去七十年间情感与辱骂内容的趋势与变化。研究发现，电影台词存在显著的时间维度变化，反映了更广泛的社会与文化影响。整体而言，电影的情感倾向具有多样性，辱骂内容的检测结果也呈现出明显波动。结果显示，近几十年来辱骂内容逐步增多，反映了社会规范与监管政策的变化。惊悚片等类型的辱骂内容出现频率仍然较高，凸显了暴力与冲突在叙事中持续发挥的作用。与此同时，幽默、乐观等潜在积极情绪在大多数电影中仍普遍存在。此外，过去二十年间，电影台词中辱骂内容的逐步增长趋势十分显著，其中获得奥斯卡提名的电影的辱骂内容占比已反超票房前十的大片。
英文摘要：
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 changes. Genres such as thrillers still present a higher frequency of abusive content that emphasises the ongoing narrative role of violence and conflict. At the same time, underlying positive emotions such as humour and optimism remain prevalent in most of the movies. Furthermore, the gradual increase of abusive content in movie dialogues has been significant over the last two decades, where Oscar-nominated movies overtook the top ten blockbusters.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
