Improving Collection Understanding for Web Archives with Storytelling: Shining Light Into Dark and Stormy Archives

Jones, Shawn

doi:10.25777/zts6-v512

Cited by 6 publications

(3 citation statements)

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“…Their functionality simulates a more human-like behavior that may not be caught easily by bot detection techniques. For instance, applications like the work of Ayala [43] and tools like the oldweb.today [33,34], DSA Toolkit [30,31], TMVis [36], and Memento-Damage service [45] that replicate human behavior make things challenging for detection algorithms. Between IA2019 and PT2019, PT2019 has ≈ 30% more robots present.…”

Section: Ia2012mentioning

confidence: 99%

Robots Still Outnumber Humans in Web Archives, But Less Than Before

Garg

Alam

et al. 2022

Lecture Notes in Computer Science

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To identify robots and humans and analyze their respective access patterns, we used the Internet Archive's (IA) Wayback Machine access logs from 2012 and 2019, as well as Arquivo.pt's (Portuguese Web Archive) access logs from 2019. We identified user sessions in the access logs and classified those sessions as human or robot based on their browsing behavior. To better understand how users navigate through the web archives, we evaluated these sessions to discover user access patterns. Based on the two archives and between the two years of IA access logs (2012 vs. 2019), we present a comparison of detected robots vs. humans and their user access patterns and temporal preferences. The total number of robots detected in IA 2012 is greater than in IA 2019 (21% more in requests and 18% more in sessions). Robots account for 98% of requests (97% of sessions) in Arquivo.pt (2019). We found that the robots are almost entirely limited to "Dip" and "Skim" access patterns in IA 2012, but exhibit all the patterns and their combinations in IA 2019. Both humans and robots show a preference for web pages archived in the near past.

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Section: Ia2012mentioning

confidence: 99%

Robots Still Outnumber Humans in Web Archives, But Less Than Before

Garg

Alam

et al. 2022

Lecture Notes in Computer Science

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“…Combining Hypercane's sampling with Raintale's visualization capability provides summaries of web archive collection in formats easily understood by web users. These tools all belong to the Dark and Stormy Archives (DSA) project [15,17] which focuses on analyzing and summarizing web archive collections. Our work exists to help efforts like the DSA that consume and analyze web archive collections.…”

Section: Related Workmentioning

confidence: 99%

“…One could extend our research to understand the any socioeconomic, political, or management factors that influence how each collection structure is arranged. We also intend to study collection structures of other national web archives such as the Portuguese Web Archive 15 and the Icelandic Web Archive 16 . We would also like to understand the structure and features of web archiving initiatives run by universities, such as Stanford University Libraries 17 and Columbia University Libraries 18 .…”

Section: Future Workmentioning

confidence: 99%

Creating Structure in Web Archives with Collections: Different Concepts from Web Archivists

Jones

Klein

et al. 2022

Linking Theory and Practice of Digital Libraries

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As web archives' holdings grow, archivists subdivide them into collections so they are easier to understand and manage. In this work, we review the collection structures of eight web archive platforms: : Archive-It, Conifer, the Croatian Web Archive (HAW), the Internet Archive's user account web archives, Library of Congress (LC), PANDORA, Trove, and the UK Web Archive (UKWA). We note a plethora of different approaches to web archive collection structures. Some web archive collections support sub-collections and some permit embargoes. Curatorial decisions may be attributed to a single organization or many. Archived web pages are known by many names: mementos, copies, captures, or snapshots. Some platforms restrict a memento to a single collection and others allow mementos to cross collections. Knowledge of collection structures has implications for many different applications and users. Visitors will need to understand how to navigate collections. Future archivists will need to understand what options are available for designing collections. Platform designers need it to know what possibilities exist. The developers of tools that consume collections need to understand collection structures so they can meet the needs of their users. CCS CONCEPTS• Information systems → Web searching and information discovery; Digital libraries and archives.

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Abstract Images Have Different Levels of Retrievability Per Reverse Image Search Engine

Jones

Oyen

2023

Lecture Notes in Computer Science

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Improving Collection Understanding for Web Archives with Storytelling: Shining Light Into Dark and Stormy Archives

Cited by 6 publications

References 0 publications

Robots Still Outnumber Humans in Web Archives, But Less Than Before

Robots Still Outnumber Humans in Web Archives, But Less Than Before

Creating Structure in Web Archives with Collections: Different Concepts from Web Archivists

Abstract Images Have Different Levels of Retrievability Per Reverse Image Search Engine

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