A Quantitative and Qualitative Exploration of Futuristic Narratives on TVTropes.org

Simeon Spearman
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Abstract

This paper embarks on a methodical exploration of TVTropes.org, a comprehensive crowd-sourced wiki that documents storytelling conventions across various forms of media, with a special focus on representations of artificial intelligence and future scenarios. The study delineates the multifaceted nature of the platform, asserting that its offerings extend beyond mere television tropes, and explores its potent applicability for futurists and scholars. Through the strategic application of web scraping and data analysis, this research quantifies diverse aspects of science fiction media and the embedded tropes therein. The paper underscores the pivotal role of tropes in shaping societal perceptions and influencing discourse, particularly in the realm of futuristic thinking, using instances such as the impact of “The Terminator” franchise on military strategic thinking as a case study. Furthermore, the research engages in a quantitative analysis of trope density and frequency within science fiction works, offering a nuanced understanding and uncovering patterns in storytelling conventions. This study thus offers a foundational framework for understanding, categorizing, and analyzing the influential images of the future that permeate today’s media environment, thereby providing a valuable resource for futurists, researchers, and media scholars in their respective endeavors.
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对 TVTropes.org 上未来主义叙事的定量和定性研究
TVTropes.org是一个综合性的众包维基平台,记录了各种媒体形式的叙事惯例,特别关注人工智能和未来场景的表现形式。本研究描述了该平台的多面性,断言其提供的内容已超越了单纯的电视套路,并探讨了其对未来学家和学者的强大适用性。通过战略性地应用网络搜索和数据分析,这项研究量化了科幻媒体的不同方面以及其中蕴含的套路。论文以 "终结者 "系列对军事战略思想的影响等实例为案例,强调了套路在塑造社会观念和影响话语方面的关键作用,尤其是在未来主义思想领域。此外,本研究还对科幻作品中的套语密度和频率进行了定量分析,从而提供了一种细致入微的理解,并揭示了讲故事的惯例模式。因此,本研究为理解、分类和分析弥漫于当今媒体环境中的有影响力的未来形象提供了一个基础框架,从而为未来学家、研究人员和媒体学者各自的工作提供了宝贵的资源。
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