Searched for: subject%3A%22Filter%255C+Bubble%22
(1 - 9 of 9)
document
van Boeijen, A.G.C. (author)
This paper presents two master graduation design projects that address unconscious biases (UB) in the context of design education related to two topics: gender and skin colour. In addition to their sensitivity to exclusion and injustice, two design students brought in their analytical, design research and creativity skills to find solutions...
conference paper 2022
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Huang, Xiao-Mei (author)
This graduation thesis report describes the research activities investigating the education on filter bubbles in Dutch secondary schools towards teenagers between 14-16 years old, and the design to improve this through including critical thinking techniques. <br/>During this research the context and two main target groups were explored through...
master thesis 2021
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Kumar, Jaya (author)
In recent years, personalized recommender systems have been facing criticism in research due to their ability to trap users in their circle of choices, called "filter-bubble", thereby limiting their exposure to novel content. In solving the issue of filter-bubble, past research has focused on providing explanations to users about how a...
master thesis 2018
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Rothweiler, Joost (author)
This research is aimed at breaking online political filter bubbles. We present a system that uses artificial intelligence and human computation to automatically collect article metadata on political content and thereby enables diverse personalization on content-serving platforms. This way, exploring alternative viewpoints could become as simple...
master thesis 2018
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van Zoest, Max (author)
This research is aimed at breaking online political filter bubbles. We present a system that uses artificial intelligence and human computation to automatically collect article metadata on political content and thereby enables diverse personalization on content-serving platforms. This way, exploring alternative viewpoints could become as simple...
master thesis 2018
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Tintarev, N. (author), Rostami, Shahin (author), Smyth, Barry (author)
In this paper we consider how to help users to better understand their consumption profiles by examining two approaches to visualising user profiles - chord diagrams, and bar charts - aimed at revealing to users those regions of the recommendation space that are unknown to them, i.e. blind-spots. Both visualisations do this by connecting profile...
conference paper 2018
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Simes, A. (author)
When talking about personalization online, Google CEO Eric Schmidt recently said "it will be very hard for people to watch or consume something that has not in some sense been tailored for them." This level of personalized filtering of content has worried academics and activists. Many argue that users will be trapped in a so-called "Filter...
master thesis 2016
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Bozdag, E. (author), Van den Hoven, M.J. (author)
It has been argued that the Internet and social media increase the number of available viewpoints, perspectives, ideas and opinions available, leading to a very diverse pool of information. However, critics have argued that algorithms used by search engines, social networking platforms and other large online intermediaries actually decrease...
journal article 2015
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Bozdag, V.E. (author)
Online web services such as Google and Facebook started using personalization algorithms. Because information is customized per user by the algorithms of these services, two users who use the same search query or have the same friend list may get different results. Online services argue that by using personalization algorithms, they may show the...
doctoral thesis 2015
Searched for: subject%3A%22Filter%255C+Bubble%22
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