Publications associées à A dashboard for controlling polarization in personalization

Publications associées (27)

It’s All Relative: Learning Interpretable Models for Scoring Subjective Bias in Documents from Pairwise Comparisons

We propose an interpretable model to score the subjective bias present in documents, based only on their textual content. Our model is trained on pairs of revisions of the same Wikipedia article, where one version is more biased than the other. Although pr ...

2024

Adapting Haptic Feedback for Guided Meditation

Nicolas Henchoz, Cédric Duchene, Andreas Sonderegger, Emily Clare Groves, Romain Simon Collaud, Yoann Pierre Douillet

Technology supporting meditation is a multimillion-dollar market that continues to grow. There is also strong academic interest to understand and improve the impact technology can have for the user experience of practitioners. However, little work investig ...

2023

Device and system as human interactive surface

Jamie Paik, Fabio Zuliani

A force-feedback surface that creates and modulates distinctive profile and stiffnessto interact with a user in contact thereto, the surface being functionally independentto be used as a single module but can be customized to extend the application indiver ...

2023

Combating Online Scientific Misinformation

Panagiotis Smeros

The drastic shift towards digital communication in our mediasphere has caused a profound change in the production and consumption of information, which in turn has substantial implications on the social and political landscape. Misinformation, as a side ef ...

EPFL2022

Synthetic Disinformation Attacks on Automated Fact Verification Systems

Antoine Bosselut

Automated fact-checking is a needed technology to curtail the spread of online misinformation. One current framework for such solutions proposes to verify claims by retrieving supporting or refuting evidence from related textual sources. However, the reali ...

ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE2022

On Representation Learning for Scientific News Articles Using Heterogeneous Knowledge Graphs

Karl Aberer, Panagiotis Smeros, Angeliki Romanou

In the era of misinformation and information inflation, the credibility assessment of the produced news is of the essence. However, fact-checking can be challenging considering the limited references presented in the news. This challenge can be transcended ...

ASSOC COMPUTING MACHINERY2021

Technologizing Democracy or Democratizing Technology? A Layered-Architecture Perspective on Potentials and Challenges

Bryan Alexander Ford

While technology is often claimed to be “democratizing”, the technologizing of society has more often yielded undemocratic or even anti-democratic outcomes. Is technology fundamentally at odds with democracy, or is it merely a rich and infinitely-adaptable ...

University of Chicago Press2021

Immunizing Systems from Distant Failures by Limiting Lamport Exposure

Bryan Alexander Ford, Cristina Basescu

Failures far away from a user should intuitively be less likely to affect that user. Today's ecosystem miserably fails this test, however, despite high-availability best practices. Correlated and cascading failures – triggered by misconfigurations, bugs, a ...

Association for Computing Machinery2021

Caching (Bivariate) Gaussians

Michael Christoph Gastpar, Guillaume Jean Op 't Veld

Caching is a technique that alleviates networks during peak hours by transmitting partial information before a request for any is made. In a lossy setting of Gaussian databases, we study a single-user model in which good caching strategies minimize the dat ...

2020

Controlling Polarization in Personalization: An Algorithmic Framework

Nisheeth Vishnoi, Laura Elisa Celis, Farnood Salehi

Personalization is pervasive in the online space as it leads to higher efficiency for the user and higher revenue for the platform by individualizing the most relevant content for each user. However, recent studies suggest that such personalization can lea ...

ASSOC COMPUTING MACHINERY2019

Debunking Misinformation on the Web: Detection, Validation, and Visualisation

Thành Tâm Nguyên

Our modern society is struggling with an unprecedented amount of online misinformation, which does harm to democracy, economics, and cybersecurity. Journalism and politics have been impacted by misinformation on a global scale, with weakened public trust i ...

EPFL2019

SciLens: Evaluating the Quality of Scientific News Articles Using Social Media and Scientific Literature Indicators

Karl Aberer, Panagiotis Smeros

This paper describes, develops, and validates SciLens, a method to evaluate the quality of scientific news articles. The starting point for our work are structured methodologies that define a series of quality aspects for manually evaluating news. Based on ...

ASSOC COMPUTING MACHINERY2019

The Fake News Vaccine

Rachid Guerraoui, Willy Zwaenepoel, Anne-Marie Kermarrec, Alexandre David Olivier Maurer, Matej Pavlovic, Oana Maria Balmau

While spreading fake news is an old phenomenon, today social media enables misinformation to instantaneously reach millions of people. Content-based approaches to detect fake news, typically based on automatic text checking, are limited. It is indeed diffi ...

2019

Study of the B-0 (770)degrees K-*(892)(0) decay with an amplitude analysis of B-0 ((+-))(K+pi(-)) decays

Jian Wang, Mingkui Wang, Olivier Schneider, Zhirui Xu, Yiming Li, Yi Zhang, Lei Zhang, Aurelio Bay, Yi Wang, Guido Haefeli, Tatsuya Nakada, Frédéric Blanc, Minh Tâm Tran, Maurizio Martinelli, Donal Patrick Hill, Liang Sun, Plamen Hristov Hopchev, Renato Quagliani, Olivier Göran Girard, Axel Kuonen, Preema Rennee Pais, Aravindhan Venkateswaran, Elena Graverini, Michel De Cian, Maria Elena Stramaglia, Vladimir Macko, Federico Leo Redi, Luis Miguel Garcia Martin, Vitalii Lisovskyi, Tara Nanut, Alessio Ferrari, Violaine Bellée, Guillaume Max Pietrzyk, Pavol Stefko, Pietro Marino, Maria Vieites Diaz, Matthieu Philippe Luther Marinangeli, François Fleuret, Vladislav Balagura, Guido Andreassi, Luca Pescatore, Maxime Schubiger, Christoph Frei, Chitsanu Khurewathanakul, Greig Alan Cowan, Mark Tobin, Jessica Prisciandaro, Sebastian Schulte, Veronica Sølund Kirsebom, Mirco Dorigo, Vincenzo Battista, Conor Thomas Fitzpatrick, Tommaso Colombo, Brice Emile Maurin, Ian William Marison, Sergi Aguacil Moreno, Liupan An, Hang Yin, Marilisa Neri, Michael Thompson McCann, Jianqi Hu, Matteo Fontana, Simon Van Mulders, Valérie Jeanne Thérèse Renaudin-Schouler, Craig Matthew Smith, Léonard Yannick Maurice Eymann, Adriano Pastore, Nathalie Sophie Adeline Serra, Xiao Yuan, Luc Henry, Juan Federico Esteban Müller, Giovanni Veneziano, Benedikt Sebastian Braun, Achille Mauri, Basil Andrew Stansfield Davis, Aleksey Vorobyev, Darius Constantin Merk, Jae Sun Jeong, Jiujiu Yu, Xiao Di, Wanqiu Hu

An amplitude analysis of B-0 ((+-))(K+-) decays is performed in the two-body invariant mass regions 300 < m((+-)) < 1100 MeV/c(2), accounting for the (0), , f(0)(500), f(0)(980) and f(0)(1370) resonances, and 750 < m(K+-) < 1200 MeV/c(2), which is dominate ...

Springer Nature2019

Utility and privacy effects of a user action in a communication system

Rachid Guerraoui, Mahsa Taziki

The present invention concerns a method of determining an effect of a user action taken with respect to an item in a communication network. The item is associated with data content in the communication network. The method comprises: (a) determining (31) pu ...

2019

Spherical Clustering of Users Navigating 360° Content

Pascal Frossard, Laura Toni, Francesca De Simone

In Virtual Reality (VR) applications, understanding how users explore the omnidirectional content is important to optimize content creation, to develop user-centric services, or even to detect disorders in medical applications. Clustering users based on th ...

IEEE2019

Subjective Evaluation of 360-degree Sensory Experiences

Pascal Frossard, Roberto Gerson De Albuquerque Azevedo

Traditionally, most multimedia content has been developed to stimulate two of the human senses, i.e., sight and hearing. Due to recent technological advancements, however, innovative services have been developed that provide more realistic, immersive, and ...

IEEE2019

Automatic Online Fake News Detection Combining Content and Social Signals

Stefano Moret

The proliferation and rapid diffusion of fake news on the Internet highlight the need of automatic hoax detection systems. In the context of social networks, machine learning (ML) methods can be used for this purpose. Fake news detection strategies are tra ...

IEEE2018

Jacket for embodied interaction with virtual or distal robotic device

David Atienza Alonso, Dario Floreano, Stefano Mintchev, Fabio Isidoro Tiberio Dell'Agnola, Carine Rognon, Alice Ghislaine Concordel

A system for interacting with a remote object comprising a wearable jacket for a user, two actuators for supporting arms of the user, motors for causing movements to at least one of a torso and the arms of the user, and sensors for measuring at least one o ...

2018

Learning adaptive dressing assistance from human demonstration

Sylvain Calinon, Emmanuel Pignat

For tasks such as dressing assistance, robots should be able to adapt to different user morphologies, preferences and requirements. We propose a programming by demonstration method to efficiently learn and adapt such skills. Our method encodes sensory info ...

Elsevier2017