Abstract
People use web search engines to find information before forming opinions, which can lead to practical decisions with different levels of impact. The cognitive effort of search can leave opinionated users vulnerable to cognitive biases, e.g., the confirmation bias. In this paper, we investigate whether stance labels and their explanations can help users consume more diverse search results. We automatically classify and label search results on three topics (i.e., intellectual property rights, school uniforms, and atheism) as against, neutral, and in favor, and generate explanations for these labels. In a user study (N=203), we then investigate whether search result stance bias (balanced vs biased) and the level of explanation (plain text, label only, label and explanation) influence the diversity of search results clicked. We find that stance labels and explanations lead to a more diverse search result consumption. However, we do not find evidence for systematic opinion change among users in this context. We believe these results can help designers of search engines to make more informed design decisions.
Original language | English |
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Title of host publication | Explainable Artificial Intelligence |
Editors | Luca Longo |
Publisher | Springer |
Pages | 573-596 |
Number of pages | 24 |
ISBN (Print) | 978-3-031-44066-3 |
DOIs | |
Publication status | Published - 2023 |
Event | World Conference on Explainable Artificial Intelligence - Lisbon, Portugal, Lisbon, Portugal Duration: 26 Jul 2023 → 28 Jul 2023 https://xaiworldconference.com/2023/ |
Publication series
Series | Communications in Computer and Information Science |
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Volume | 1902 |
ISSN | 1865-0929 |
Conference
Conference | World Conference on Explainable Artificial Intelligence |
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Abbreviated title | xAI 2023 |
Country/Territory | Portugal |
City | Lisbon |
Period | 26/07/23 → 28/07/23 |
Internet address |