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View all- Yang CXu XNunes BSiqueira S(2023)Bubbles burstingTelematics and Informatics10.1016/j.tele.2023.10199982:COnline publication date: 1-Aug-2023
The BiasChecker: how biased are social media searches?
Authors: 
Can Yang, Bernardo Pereira Nunes, Jônatas Castro dos Santos, 
Sean Wolfgand Matsui Siqueira, Xinyuan XuAuthors Info & Claims
Can Yang, Bernardo Pereira Nunes, Jônatas Castro dos Santos, Sean Wolfgand Matsui Siqueira, Xinyuan XuAuthors Info & ClaimsPages 305 - 308
Abstract
Social media searches are frequently employed by users to keep them up to date about ongoing events and learn broadly about public opinion on topics that are unfamiliar to them. Nevertheless, there are rising concerns about the results returned that can reinforce users' existing biases - the inclination to one opinion over another. This paper introduces a tool, called BiasChecker, that contributes to the check for bias in search results on a social media platform. BiasChecker follows a distributed and extendable architecture that allows us to simulate users following and unfollowing accounts, search for different polarised topics in a concurrent manner and measure bias. It may be applied to multiple social media platforms. The proposed tool takes into account several factors that can interfere with the detection of bias, e.g., the cross-over effect, geolocation, IP address, and language.
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Index Terms
- The BiasChecker: how biased are social media searches?
Index terms have been assigned to the content through auto-classification.
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Published In
November 2021
693 pages
ISBN:9781450391283
DOI:10.1145/3487351
- Editors:
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- Alfredo Cuzzocrea,
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Published: 19 January 2022
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View all- Yang CXu XNunes BSiqueira S(2023)Bubbles burstingTelematics and Informatics10.1016/j.tele.2023.10199982:COnline publication date: 1-Aug-2023
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