Urman, Aleksandra; Makhortykh, Mykola; Ulloa, Roberto (19 April 2021). Auditing Source Diversity Bias in Video Search Results Using Virtual Agents. In: WWW '21: The Web Conference 2021. Companion Proceedings of the Web Conference 2021 (pp. 232-236). New York, NY, United States: Association for Computing Machinery 10.1145/3442442.3452306
|
Text
ACM_FATES_1_.pdf - Published Version Available under License Creative Commons: Attribution (CC-BY). Download (618kB) | Preview |
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 |
Publisher: |
Association for Computing Machinery |
Language: |
English |
Submitter: |
Mykola Makhortykh |
Date Deposited: |
16 Jun 2021 14:29 |
Last Modified: |
05 Dec 2022 15:51 |
Publisher DOI: |
10.1145/3442442.3452306 |
Uncontrolled Keywords: |
bias, search engines, algorithmic auditing, Google, YouTube, diversity |
BORIS DOI: |
10.48350/156707 |
URI: |
https://boris.unibe.ch/id/eprint/156707 |
Actions (login required)
 |
Edit item |