arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1304.0786physics.soc-phcs.CY
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通过众包关键词定量分析电影中的新颖性演变

Quantitative analysis of the evolution of novelty in cinema through crowdsourced keywords

Sameet Sreenivasan

摘要:

新奇的产生是任何创造性努力的核心。新颖性的产生以及新颖性与个体享乐价值之间的关系一直是社会心理学研究的主题。然而,很少有研究利用大规模的数据集来定量研究这些问题。在这里,我们认为美国电影的领域,并探讨这些问题使用的电影数据库跨越70年的时间。我们使用来自互联网电影数据库的众包关键字作为电影内容的窗口,并根据单个关键字和关键字对的发生概率为每部电影规定新颖性分数。这些分数提供了对电影中新奇动态的启示性见解。我们研究了新奇感如何影响电影产生的收入,并发现了一种类似于冯特-伯林曲线的关系。我们还研究了关键字出现的统计数据和关键字在100年内的总分布。

英文摘要:

The generation of novelty is central to any creative endeavor. Novelty generation and the relationship between novelty and individual hedonic value have long been subjects of study in social psychology. However, few studies have utilized large-scale datasets to quantitatively investigate these issues. Here we consider the domain of American cinema and explore these questions using a database of films spanning a 70 year period. We use crowdsourced keywords from the Internet Movie Database as a window into the contents of films, and prescribe novelty scores for each film based on occurrence probabilities of individual keywords and keyword-pairs. These scores provide revealing insights into the dynamics of novelty in cinema. We investigate how novelty influences the revenue generated by a film, and find a relationship that resembles the Wundt-Berlyne curve. We also study the statistics of keyword occurrence and the aggregate distribution of keywords over a 100 year period.

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。

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