Disentangling Web Search on Debated Topics - User Study Data

Data of an exploratory, open-ended user study (N = 255) to advance knowledge and uncover relations between the different facets of web search on debated topics. We explored the relations between factors inherent to the searcher and search system (user characteristics, exposure bias), search intercations (confirmation bias, position bias, search effort), and post-search epistemic states (attitude change, knowledge gain). This data set contains the following variables for each of the 255 participants: SERP ranking bias, prior knowledge, attitude strength, receptiveness to opposing views, attitude-confirming clicks, click rank deviation, number of clicks, time on SERP, hover depth, attitude change, knowledge gain.本数据集源自一项探索性开放式用户研究（样本量N=255），旨在深化对争议性话题下网络搜索各维度间关联的认知并揭示其内在联系。本研究探索了搜索者与搜索系统固有因素（用户特征、曝光偏差）、搜索交互行为（确认偏差、位置偏差、搜索投入）以及搜索后认知状态（态度转变、知识增益）之间的关联。本数据集为全部255名参与者提供了以下变量数据：搜索结果页（Search Engine Results Page，简称SERP）排名偏差、先验知识、态度强度、对对立观点的接受度、态度确认型点击、点击排名偏差、点击次数、搜索结果页停留时长、悬停深度、态度转变、知识增益。