The Matter of Chance: Auditing Web Search Results Related to the 2020 U.S. Presidential Primary Elections Across Six Search Engines

Aleksandra Urman, Mykola Makhortykh, Roberto Ulloa

Open source

DOI
10.1177/08944393211006863
Published
2021-04-28
Container
Social Science Computer Review
Publisher
SAGE Publications
Open access
unknown

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BibTeX

@article{allodium:10.1177/08944393211006863,
  title = {The Matter of Chance: Auditing Web Search Results Related to the 2020 U.S. Presidential Primary Elections Across Six Search Engines},
  author = {Aleksandra Urman and Mykola Makhortykh and Roberto Ulloa},
  year = {2021},
  journal = {Social Science Computer Review},
  doi = {10.1177/08944393211006863},
  url = {https://doi.org/10.1177/08944393211006863}
}

RIS

TY  - JOUR
TI  - The Matter of Chance: Auditing Web Search Results Related to the 2020 U.S. Presidential Primary Elections Across Six Search Engines
AU  - Aleksandra Urman
AU  - Mykola Makhortykh
AU  - Roberto Ulloa
PY  - 2021
JO  - Social Science Computer Review
DO  - 10.1177/08944393211006863
UR  - https://doi.org/10.1177/08944393211006863
ER  - 

APA

Urman, A., Makhortykh, M., & Ulloa, R. (2021). The Matter of Chance: Auditing Web Search Results Related to the 2020 U.S. Presidential Primary Elections Across Six Search Engines. Social Science Computer Review. https://doi.org/10.1177/08944393211006863

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