Quantifying Search Bias : Investigating Sources of Bias for Political Searches in Social Media

Kulshrestha, Juhi; Eslami, Motahhare; Messias, Johnnatan; Zafar, Muhammad Bilal; Ghosh, Saptarshi; Gummadi, Krishna P.; Karahalios, Karrie

Quantifying Search Bias : Investigating Sources of Bias for Political Searches in Social Media

Dateien

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Datum

2017

Autor:innen

Kulshrestha, Juhi

Eslami, Motahhare

Messias, Johnnatan

Zafar, Muhammad Bilal

Ghosh, Saptarshi

Gummadi, Krishna P.

Karahalios, Karrie

Publikationstyp

Beitrag zu einem Konferenzband

Publikationsstatus

Published

Erschienen in

LEE, Charlotte P., ed. and others. CSCW '17 : Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing. New York, NY: ACM, 2017, pp. 417-432. ISBN 978-1-4503-4335-0. Available under: doi: 10.1145/2998181.2998321

Zusammenfassung

Search systems in online social media sites are frequently used to find information about ongoing events and people. For topics with multiple competing perspectives, such as political events or political candidates, bias in the top ranked results significantly shapes public opinion. However, bias does not emerge from an algorithm alone. It is important to distinguish between the bias that arises from the data that serves as the input to the ranking system and the bias that arises from the ranking system itself. In this paper, we propose a framework to quantify these distinct biases and apply this framework to politics-related queries on Twitter. We found that both the input data and the ranking system contribute significantly to produce varying amounts of bias in the search results and in different ways. We discuss the consequences of these biases and possible mechanisms to signal this bias in social media search systems' interfaces.

Fachgebiet (DDC)

004 Informatik

Konferenz

CSCW '17: 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, 25. Feb. 2017 - 1. März 2017, Portland, Oregon

Zitieren

ISO 690

KULSHRESTHA, Juhi, Motahhare ESLAMI, Johnnatan MESSIAS, Muhammad Bilal ZAFAR, Saptarshi GHOSH, Krishna P. GUMMADI, Karrie KARAHALIOS, 2017. Quantifying Search Bias : Investigating Sources of Bias for Political Searches in Social Media. CSCW '17: 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing. Portland, Oregon, 25. Feb. 2017 - 1. März 2017. In: LEE, Charlotte P., ed. and others. CSCW '17 : Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing. New York, NY: ACM, 2017, pp. 417-432. ISBN 978-1-4503-4335-0. Available under: doi: 10.1145/2998181.2998321

BibTex

@inproceedings{Kulshrestha2017-04-05T10:12:56ZQuant-53945,
  year={2017},
  doi={10.1145/2998181.2998321},
  title={Quantifying Search Bias : Investigating Sources of Bias for Political Searches in Social Media},
  isbn={978-1-4503-4335-0},
  publisher={ACM},
  address={New York, NY},
  booktitle={CSCW '17 : Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing},
  pages={417--432},
  editor={Lee, Charlotte P.},
  author={Kulshrestha, Juhi and Eslami, Motahhare and Messias, Johnnatan and Zafar, Muhammad Bilal and Ghosh, Saptarshi and Gummadi, Krishna P. and Karahalios, Karrie}
}

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