Urman, Aleksandra; Makhortykh, Mykola; Ulloa, Roberto (12 April 2021). Auditing source diversity bias in video search results using virtual agents (Unpublished). In: Third Workshop on Fairness, Accountability, Transparency, Ethics and Society on the Web (FATES on the Web 2021). Ljubljana, Slovenia. 12-23 April 2021.
Full text not available from this repository. (Request a copy)We audit the presence of domain-level source diversity bias in video search results. Using a virtual agent-based approach, we compare outputs of four Western and one non-Western search engines for English and Russian queries. Our findings highlight that source diversity varies substantially depending on the language with English queries returning more diverse outputs. We also find disproportionately high presence of a single platform, YouTube, in top search outputs for all Western search engines except Google. At the same time, we observe that Youtube's major competitors such as Vimeo or Dailymotion do not appear in the sampled Google's video search results. This finding suggests that Google might be downgrading the results from the main competitors of Google-owned Youtube and highlights the necessity for further studies focusing on the presence of own-content bias in Google's search results.
Item Type: |
Conference or Workshop Item (Paper) |
|---|---|
Division/Institute: |
03 Faculty of Business, Economics and Social Sciences > Social Sciences > Institute of Communication and Media Studies (ICMB) |
UniBE Contributor: |
Urman, Aleksandra, Makhortykh, Mykola |
Subjects: |
000 Computer science, knowledge & systems 300 Social sciences, sociology & anthropology 600 Technology |
Language: |
English |
Submitter: |
Mykola Makhortykh |
Date Deposited: |
05 May 2021 15:10 |
Last Modified: |
05 Dec 2022 15:50 |
Uncontrolled Keywords: |
bias, search engines, source bias, youtube, algorithmic auditing, google |
URI: |
https://boris.unibe.ch/id/eprint/155726 |
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