Makhortykh, Mykola; Urman, Aleksandra; Ulloa, Roberto (2021). Hey, Google, is it what the Holocaust looked like? Auditing algorithmic curation of visual historical content on Web search engines. First Monday, 26(10) University of Illinois 10.5210/fm.v26i10.11562
Full text not available from this repository.By filtering and ranking information, search engines shape how individuals perceive both the present and past events. However, these information curation mechanisms are prone to malperformance that can misinform their users. In this article, we examine how search malperformance can influence representation of traumatic past by investigating image search outputs of six search engines in relation to the Holocaust in English and Russian. Our findings indicate that besides two common themes - commemoration and liberation of camps - there is substantial variation in visual representation of the Holocaust between search engines and languages. We also observe several instances of search malperformance, including content propagating antisemitism and Holocaust denial, misattributed images, and disproportionate visibility of specific Holocaust aspects that might result in its distorted perception by the public.
Item Type: |
Journal Article (Original Article) |
|---|---|
Division/Institute: |
03 Faculty of Business, Economics and Social Sciences > Social Sciences > Institute of Communication and Media Studies (ICMB) |
UniBE Contributor: |
Makhortykh, Mykola, Urman, Aleksandra |
Subjects: |
000 Computer science, knowledge & systems 300 Social sciences, sociology & anthropology 900 History |
ISSN: |
1396-0466 |
Publisher: |
University of Illinois |
Language: |
English |
Submitter: |
Mykola Makhortykh |
Date Deposited: |
15 Nov 2021 18:00 |
Last Modified: |
05 Dec 2022 15:53 |
Publisher DOI: |
10.5210/fm.v26i10.11562 |
Uncontrolled Keywords: |
algorithms, Holocaust, algorithmic curation, bias, malperformance, search engines, Google, Yandex, Bing, Yahoo, DuckDuckGo, Baidu |
URI: |
https://boris.unibe.ch/id/eprint/159906 |
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