Navigating the Thin Line: Examining User Behavior in Search to Detect Engagement and Backfire Effects

Cau, Federico Maria; Tintarev, Nava

doi:10.1007/978-3-031-56066-8_30

Cited by 1 publication

(1 citation statement)

References 42 publications

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“…annotation) can increase the diversity of the search results clicked by participants (see also Figure 2) (Wu et al 2023). A follow-up study found that these annotations are primarily helpful for users that engage with (click on) search results, compared to users who interacted with queries and search pages but did not engage with any search results (Cau and Tintarev 2024).…”

Section: Addressing Consumption Biases: Interface Designmentioning

confidence: 99%

Measuring the benefit of increased transparency and control in news recommendation

Tintarev,

Knijnenburg,

Willemsen

2024

AI Magazine

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Personalized news experiences powered by recommender systems permeate our lives and have the potential to influence not only our opinions, but also our decisions. At the same time, the content and viewpoints contained within news recommendations are driven by multiple factors, including both personalization and editorial selection. Explanations could help users gain a better understanding of the factors contributing to the news items selected for them to read. Indeed, recent works show that explanations are essential for users of news recommenders to understand their consumption preferences and set intentions in line with their goals, such as goals for knowledge development and increased diversity of content or viewpoints. We give examples of such works on explanation and interactive interface interventions which have been effective in influencing readers' consumption intentions and behaviors in news recommendations. However, the state‐of‐the‐art in news recommender systems currently fall short in terms of evaluating such interventions in live systems, limiting our ability to measure their true impact on user behavior and opinions. To help understand the true benefit of these interfaces, we therefore call for improving the realism of studies for news.

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Section: Addressing Consumption Biases: Interface Designmentioning

confidence: 99%