User Attitudes to Content Moderation in Web Search
Aleksandra Urman, Aniko Hannak, Mykola Makhortykh

TL;DR
This study explores US internet users' attitudes towards content moderation in web search, revealing support for transparency measures and opposition to result removal, influenced by user conservatism and trust levels.
Contribution
It provides the first detailed survey analysis of user attitudes towards various content moderation practices in web search engines.
Findings
Most users support informing about misleading content
Few support complete removal of search results
Conservative users and those with lower trust oppose moderation
Abstract
Internet users highly rely on and trust web search engines, such as Google, to find relevant information online. However, scholars have documented numerous biases and inaccuracies in search outputs. To improve the quality of search results, search engines employ various content moderation practices such as interface elements informing users about potentially dangerous websites and algorithmic mechanisms for downgrading or removing low-quality search results. While the reliance of the public on web search engines and their use of moderation practices is well-established, user attitudes towards these practices have not yet been explored in detail. To address this gap, we first conducted an overview of content moderation practices used by search engines, and then surveyed a representative sample of the US adult population (N=398) to examine the levels of support for different moderation…
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Taxonomy
TopicsHate Speech and Cyberbullying Detection · Social Media and Politics · Misinformation and Its Impacts
