In web search on debated topics, algorithmic and cognitive biases strongly influence how users consume and process information. Recent research has shown that this can lead to a search engine manipulation effect (SEME): when search result rankings are biased towards a particular viewpoint, users tend to adopt this favored viewpoint. To better understand the mechanisms underlying SEME, we present a pre-registered, 5 x 3 factorial user study investigating whether order effects (i.e., users adopting the viewpoint pertaining to higher-ranked documents) can cause SEME. For five different debated topics, we evaluated attitude change after exposing participants with mild pre-existing attitudes to search results that were overall viewpoint-balanced...
During online information search, users tend to select search results that confirm previous beliefs ...
This paper investigates whether a search engine’s ordering of algorithmic results has an important i...
It is commonly assumed that algorithmic curation of search results creates filter bubbles, where use...
In web search on debated topics, algorithmic and cognitive biases strongly influence how users consu...
Web search increasingly provides a platform for users to seek advice on important personal decisions...
Search engines play an important role in the provision of information. Recently, researchers have ra...
Search-engines are among the most used resources on the Internet. Google, for example, now hosts ove...
We describe the results of an experiment designed to study user preferences for different orderings ...
In this study we investigate whether and why users change their preferences when assessing search en...
People frequently answer consequential questions, such as those with a medical focus, using Internet...
Understanding the influence of users' opinions on their search behavior together with their inherent...
In this study, we investigate the similarities and differences between rankings of search results by...
This paper uncovers a new phenomenon in web search that we call domain bias — a user’s propensity to...
The author explores allegations of search engine bias, including understanding a search engine’s inc...
This paper investigates whether a search engine’s ordering of algorithmic results has an important e...
During online information search, users tend to select search results that confirm previous beliefs ...
This paper investigates whether a search engine’s ordering of algorithmic results has an important i...
It is commonly assumed that algorithmic curation of search results creates filter bubbles, where use...
In web search on debated topics, algorithmic and cognitive biases strongly influence how users consu...
Web search increasingly provides a platform for users to seek advice on important personal decisions...
Search engines play an important role in the provision of information. Recently, researchers have ra...
Search-engines are among the most used resources on the Internet. Google, for example, now hosts ove...
We describe the results of an experiment designed to study user preferences for different orderings ...
In this study we investigate whether and why users change their preferences when assessing search en...
People frequently answer consequential questions, such as those with a medical focus, using Internet...
Understanding the influence of users' opinions on their search behavior together with their inherent...
In this study, we investigate the similarities and differences between rankings of search results by...
This paper uncovers a new phenomenon in web search that we call domain bias — a user’s propensity to...
The author explores allegations of search engine bias, including understanding a search engine’s inc...
This paper investigates whether a search engine’s ordering of algorithmic results has an important e...
During online information search, users tend to select search results that confirm previous beliefs ...
This paper investigates whether a search engine’s ordering of algorithmic results has an important i...
It is commonly assumed that algorithmic curation of search results creates filter bubbles, where use...