automated-discrimination | experiment assesses how Facebook and Google skew

 by   algorithmwatch HTML Version: Current License: GPL-3.0

kandi X-RAY | automated-discrimination Summary

kandi X-RAY | automated-discrimination Summary

automated-discrimination is a HTML library. automated-discrimination has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

This folder contains the results of an experiment that assesses how Facebook and Google skew the distribution of advertisements, absent any targeting from the advertiser. It is a replication of the following paper:. Ali, M., Sapiezynski, P., Bogen, M., Korolova, A., Mislove, A., & Rieke, A. (2019). Discrimination through Optimization: How Facebook's Ad Delivery Can Lead to Biased Outcomes. Proceedings of the ACM on Human-Computer Interaction, 3(CSCW), 1-30. All analyses are based on the number of impressions. However, a sentence in the article mentions people who saw the ads. This corresponds to the reach of the ads. Data about reach is available in input/facebook.csv.
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              automated-discrimination has a low active ecosystem.
              It has 3 star(s) with 0 fork(s). There are 6 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              automated-discrimination has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of automated-discrimination is current.

            kandi-Quality Quality

              automated-discrimination has no bugs reported.

            kandi-Security Security

              automated-discrimination has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              automated-discrimination is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

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              automated-discrimination releases are not available. You will need to build from source code and install.

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            You can download it from GitHub.

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