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Found 5 papers, 1 papers with code
This Is Not What We Ordered: Exploring Why Biased Search Result Rankings Affect User Attitudes on Debated Topics
To better understand the mechanisms underlying SEME, we present a pre-registered, 5 × 3 factorial user study investigating whether order effects (i. e., users adopting the viewpoint pertaining to higher-ranked documents) can cause SEME.
Disparate Impact Diminishes Consumer Trust Even for Advantaged Users
Systems aiming to aid consumers in their decision-making (e. g., by implementing persuasive techniques) are more likely to be effective when consumers trust them.
Decision Making
Fairness
Human-Computer Interaction
Assessing Viewpoint Diversity in Search Results Using Ranking Fairness Metrics
The way pages are ranked in search results influences whether the users of search engines are exposed to more homogeneous, or rather to more diverse viewpoints.
CrowdTruth 2.0: Quality Metrics for Crowdsourcing with Disagreement
However, in many domains, there is ambiguity in the data, as well as a multitude of perspectives of the information examples.
Human-Computer Interaction Social and Information Networks
The VU Sound Corpus: Adding More Fine-grained Annotations to the Freesound Database
The main goal of this study is to find out (i) whether it is feasible to collect keywords for a large collection of sounds through crowdsourcing, and (ii) how people talk about sounds, and what information they can infer from hearing a sound in isolation.
