The core of information retrieval (IR) is to identify relevant information from large-scale
resources and return it as a ranked list to respond to user's information need. In recent years …

Invisible Search and Online Search Engines considers the use of search engines in
contemporary everyday life and the challenges this poses for media and information literacy …

This research focuses on what users know about search engine optimization (SEO) and how
well they can identify results that have potentially been influenced by SEO. We conducted an …

In information retrieval, relevance is perceived as a multidimensional and dynamic concept
influenced by user, task, and domain factors. Relying on this perspective, researchers have …

Despite growing calls for participation in AI design, there are to date few empirical studies of
what these processes look like and how they can be structured for meaningful engagement …

Legal case retrieval, which aims to retrieve relevant cases given a query case, has drawn
increasing research attention in recent years. While much research has worked on …

This opinion piece takes Google's response to the so‐called COVID‐19 infodemic, as a
starting point to argue for the need to consider societal relevance as a complement to other …

Purpose Government information and services are increasingly delivered online through the
Internet or other digital means. To benefit citizens, such electronic government (e …

The exchange of meta-information has always formed part of information behavior. In this
article, we show that this rule also extends to conversational search. Information about the …

Assessors make preference judgments faster and more consistently than graded judgments.
Preference judgments can also recognize distinctions between items that appear equivalent …