How "Tools" Produce "Data": Searching in a Large Digital Corpus of Audiovisual Holocaust Testimonies
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3A10455625" target="_blank" >RIV/00216208:11320/22:10455625 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1515/9783110744828-004" target="_blank" >https://doi.org/10.1515/9783110744828-004</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1515/9783110744828-004" target="_blank" >10.1515/9783110744828-004</a>
Alternative languages
Result language
angličtina
Original language name
How "Tools" Produce "Data": Searching in a Large Digital Corpus of Audiovisual Holocaust Testimonies
Original language description
The field of Jewish Studies is facing many new challenges as a result of ongoing digitization. This chapter focuses on digital oral histories of the Hol-ocaust. Following the digital revolution in oral history, many institutions now provide access to multiple collections at once. One of the new challenges is thus related to the simultaneous availability of several archives, as well as various search engines which apply different methods to browse their content. The aim of this chapter is to identify and describe participants' practices for working with a large corpus of audiovisual Holocaust testimonies, especially in terms of locating relevant results within the collection by using three different search systems. We have conducted an empirical study in an experimental setting designed to emulate work with various search engines. Three pairs of novice users solved ten tasks over video-conferencing software, utilizing three different search "tools" (USC Shoah Foundation's Visual History Archive, Amalach, and Pixla). Our main find-ings consist of formulating a fundamental structure and elements of participants' collaborative work, composed of three complementary actions: testing, sharing, and implementing. Furthermore, users obtained the search results by two main approaches: aggregation and query refinement. Interestingly, they did not upgrade the searching skills progressively, but rather used the current "best knowledge" for all the tasks and search engines at once. The participants' emergent competence was continuously developed on the basis of collaborative work with the search engines and the results obtained so far through their work on the previous tasks.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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OECD FORD branch
50401 - Sociology
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Jewish Studies in the Digital Age
ISBN
978-3-11-074469-9
Number of pages of the result
24
Pages from-to
65-88
Number of pages of the book
389
Publisher name
De Gruyter Oldenbourg
Place of publication
Berlin
UT code for WoS chapter
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