The Quotidian Web and the Accidental Archive

Video hosting sites like YouTube are commonly understood through their professional creators and viral content, but they are also rich, global repositories of cultural memory and everyday life. However, their opaque, algorithmically optimized, commercial structure poses challenges to research. We argue that such platforms function as “accidental archives” that capture details of quotidian life that often escape curatorial intention. To consider the unique insights into daily life that such archives preserve, we examine two other accidental archives: a collection of late 20th-century photos and the preserved ruins of Pompeii. We present a four-part mixed-methods approach to researching quotidian video: solving the technical problem of random sampling, conducting metadata analysis, using additional computational means to augment data, and qualitatively analyzing video content.

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Publication Details

Journal
International journal of communication
Published
2026-03-27
DOI
https://doi.org/10.65476/ppzen716
Primary Topic
Computational and Text Analysis Methods
Type
article
Field-Weighted Citation Impact
0.00
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article

The Quotidian Web and the Accidental Archive

Ryan McGrady, Ethan Zuckerman
International journal of communication
Computational and Text Analysis Methods
article

The Quotidian Web and the Accidental Archive

Ryan McGrady, Ethan Zuckerman
article en

Abstract

Video hosting sites like YouTube are commonly understood through their professional creators and viral content, but they are also rich, global repositories of cultural memory and everyday life. However, their opaque, algorithmically optimized, commercial structure poses challenges to research. We argue that such platforms function as “accidental archives” that capture details of quotidian life that often escape curatorial intention. To consider the unique insights into daily life that such archives preserve, we examine two other accidental archives: a collection of late 20th-century photos and the preserved ruins of Pompeii. We present a four-part mixed-methods approach to researching quotidian video: solving the technical problem of random sampling, conducting metadata analysis, using additional computational means to augment data, and qualitatively analyzing video content.

International journal of communicationVol. 20
University of Massachusetts Amherst (US)
Openalex Percentile: Top 25%
Computational and Text Analysis Methods
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