Makhortykh, Mykola (4 February 2021). Algorithmic Auditing, the Holocaust, and Search Engine Bias. In: Digital Holocaust Memory.
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Algorithmic_Auditing__the_Holocaust__and_Search_Engine_Bias.pdf - Accepted Version Available under License Publisher holds Copyright. Download (374kB) | Preview |
The ongoing digitisation of individual and collective remembrance results in the growing role of algorithmic curation of information about the past by web search engines. This process, however, raises multiple concerns, in particular considering that performance of complex algorithmic systems, including the ones dealing with web search, is often subjected to bias. In this guest post, Mykola Makhortykh shares his experience of studying biases in visual representation of the Holocaust across six major search engines, and discusses its implications for Holocaust remembrance.
Item Type: |
Other |
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Division/Institute: |
03 Faculty of Business, Economics and Social Sciences > Social Sciences > Institute of Communication and Media Studies (ICMB) |
UniBE Contributor: |
Makhortykh, Mykola |
Subjects: |
000 Computer science, knowledge & systems 300 Social sciences, sociology & anthropology |
Language: |
English |
Submitter: |
Mykola Makhortykh |
Date Deposited: |
16 Jun 2021 14:23 |
Last Modified: |
05 Dec 2022 15:50 |
Uncontrolled Keywords: |
Holocaust, algorithmic auditing, search engines, bias, visual framing, google, memory |
BORIS DOI: |
10.48350/155732 |
URI: |
https://boris.unibe.ch/id/eprint/155732 |
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