维基百科与人工智能:大型语言模型时代的访问、表述与宣传

IF 2.4 2区 文学 Q1 COMMUNICATION
Zachary J McDowell
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引用次数: 0

摘要

尽管维基百科的性质是志愿者驱动的,但由于其流程透明且可验证,它仍然是一个值得信赖的信息库。然而,大型语言模型(LLMs)经常将维基百科作为信息来源,却不承认它的存在,这就造成了用户与维基百科丰富框架之间的脱节。这对信息素养、维基百科的活力以及动态更新信息的潜力构成了三重威胁。本文探讨了维基百科上的代表性、可访问性和法学硕士之间的相互作用,强调了在法学硕士日益占主导地位的信息环境中,将维基百科作为一个可访问性、代表性和最终宣传空间的重要性。本文认为,尽管维基百科已经有二十多年的历史,但它不仅对知识积累仍然至关重要,而且还是知识表征未来的避难所,在封闭系统的词法管理时代倡导表征和可访问性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wikipedia and AI: Access, representation, and advocacy in the age of large language models
Wikipedia, despite its volunteer-driven nature, stands as a trustworthy repository of information, thanks to its transparent and verifiable processes. However, Large Language Models (LLMs) often use Wikipedia as a source without acknowledging it, creating a disconnect between users and Wikipedia’s rich framework. This poses a triple threat to information literacy, Wikipedia’s vitality, and the potential for dynamic, updated information. This article explores the interplay between representation, accessibility, and LLMs on Wikipedia, highlighting the importance of preserving Wikipedia as a space for access, representation, and ultimately advocacy in an increasingly LLM-dominated information landscape. This article contends that, despite being over two decades old, Wikipedia remains vital not only for knowledge accumulation but also as a sanctuary for the future of knowledge representation, championing representation and accessibility in the age of closed-system LLMs.
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来源期刊
CiteScore
5.80
自引率
7.10%
发文量
98
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