The Effect of Population and "Structural" Biases on Social Media-based Algorithms-Reference-Cited by-同舟云学术

The Effect of Population and "Structural" Biases on Social Media-based Algorithms

Published:2017-05-02 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems
language:
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Author:

Johnson Isaac¹,McMahon Connor²,Schöning Johannes³,Hecht Brent⁴

Affiliation:

1. Northwestern University, Evanston, USA

2. University of Minnesota, Minneapolis, MI, USA

3. University of Bremen, Bremen, Germany

4. Northwestern University, Evanston, IL, USA

Funder

Volkswagen Foundation

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3025453.3026015

Reference67 articles.

1. Mike Ananny Karrie Karahalios Christian Sandvig and Christo Wilson. 2015. Auditing Algorithms from the Outside: Methods and Implications. In ICWSM. Mike Ananny Karrie Karahalios Christian Sandvig and Christo Wilson. 2015. Auditing Algorithms from the Outside: Methods and Implications. In ICWSM.

2. Lars Backstrom Eric Sun and Cameron Marlow. 2010. Find me if you can: improving geographical prediction with social and spatial proximity. In WWW. 10.1145/1772690.1772698 Lars Backstrom Eric Sun and Cameron Marlow. 2010. Find me if you can: improving geographical prediction with social and spatial proximity. In WWW. 10.1145/1772690.1772698

3. John D. Burger John Henderson George Kim and Guido Zarrella. 2011. Discriminating gender on Twitter. In EMNLP. John D. Burger John Henderson George Kim and Guido Zarrella. 2011. Discriminating gender on Twitter. In EMNLP.

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