The Wikipedia imaginaire: a new media history beyond Wikipedia.org (2001–2022)

Jankowski, Steve

doi:10.1080/24701475.2023.2246261

Cited by 2 publications

(1 citation statement)

References 33 publications

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“…As Ford (2022) notes about this style of transformation, ‘the translation from digital to semantic data’ (from resources and articles) through automation creates significant concerns, as ‘information loss can cause the integrity of facts to degrade’, and ‘opportunities for debate and consensus building, however thin, are significantly reduced’ (p 124). Jankowski (2023) refers to this and other translations of Wikipedia into training data as ‘the opaque Wikipedias’, noting that Open AI (the creator of ChatGPT) is just one of the numerous transformations by Silicon Valley groups that utilize extractions and transformations of Wikipedia, rather than participating in the knowledge system (p 11-13).…”

Section: Introductionmentioning

confidence: 99%

Wikipedia and AI: Access, representation, and advocacy in the age of large language models

McDowell

2024

Convergence: The International Journal of Research into New Med

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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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Section: Introductionmentioning

confidence: 99%

Wikipedia and AI: Access, representation, and advocacy in the age of large language models

McDowell

2024

Convergence: The International Journal of Research into New Med

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Digitizing the USPTO patent backfile

Rowberry

2024

Digital Scholarship in the Humanities

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The digitization of the US Patent and Trademark Office’s (USPTO) backfile of six million patents undertaken between 1951 and 2001 was a five-decade struggle, featuring several media transitions from print and microfilm to CD-ROMs and, finally, the Web. This mass digitization project is on a similar scale to Google Books and the Internet Archive, but it is rarely discussed within critical digitization scholarship or for its significance as a tool for knowledge production. In this article, I focus on the USPTO’s patent document’s digital and physical material form and how the current paradigm of access and storage of the digital backfile emerged. Through this case study, I build upon Ian Milligan’s distinction between the ‘text’ and ‘platform’ layers of a digitization project to demonstrate how historical decisions regarding format and metadata continue to influence how users retrieve and interpret documents, such as patents, online.

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The Wikipedia imaginaire: a new media history beyond Wikipedia.org (2001–2022)

Cited by 2 publications

References 33 publications

Wikipedia and AI: Access, representation, and advocacy in the age of large language models

Wikipedia and AI: Access, representation, and advocacy in the age of large language models

Digitizing the USPTO patent backfile

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