Publications associées à United States politicians' tone became more negative with 2016 primary campaigns

Publications associées (29)

“But of course i’m going to look happy” or “He needed to know I was angry”? Comparing use of emotional labour in teamwork in engineering and hospitality students

Being able to work effectively in a team is a vital professional skill but how do students in different disciplines, engineering and hospitality, display their emotions when working together? We investigated their self-reported use of emotional labour stra ...

EAPRIL - European Association for Practitioner Research on Improving Learning2024

Compassion and Engineering Students’ Moral Reasoning: The Emotional Experience of Engineering Ethics Cases

Roland John Tormey, Nihat Kotluk

Background: There has been an increase in interest in emotion in engineering and science ethics education. There is also evidence that emotional content in case studies may improve students’ learning and enhance awareness, understanding, and motivation con ...

American Society for Engineering Education2023

Academic boredom(s): a person-centered investigation

Alexandra Corina Niculescu

Should we refer to boredom or boredoms? Research on the emotion of boredom sets itself apart from studies on other emotions by posing the question: is boredom a singular concept or does it have multiple facets? In this manuscript presenting empirical resea ...

2023

Emotion Recognition in a Multi-Componential Framework: The Role of Physiology

Gelareh Mohammadi, Maëlan Quentin Menétrey

The Component Process Model is a well-established framework describing an emotion as a dynamic process with five highly interrelated components: cognitive appraisal, expression, motivation, physiology and feeling. Yet, few empirical studies have systematic ...

FRONTIERS MEDIA SA2022

Towards Empathetic Open-Domain Chatbots

Yubo Xie

The research community of dialog generation has been interested in incorporating emotional information into the design of open-domain dialog systems ever since neural networks (sequence-to-sequence models in particular) were adopted for modeling dialogs. T ...

EPFL2022

Emotion Recognition in a Multi-Componential Framework: The Role of Physiology

Gelareh Mohammadi

Emotions are rich and complex experiences involving various behavioral and physiological responses. While many empirical studies have focused on discrete and dimensional representations of emotions, these representations do not fully reconcile with recent ...

FRONTIERS MEDIA SA2022

Emotional empathy and engineering students’moral reasoning

Roland John Tormey, Nihat Kotluk

Although engineering education is often characterized as a rational activity, research suggests that emotions are vital for learning at all levels of education. In ethics education, there is evidence that including mild emotional information in case studie ...

2022

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

Dynamic functional brain networks underlying the temporal inertia of negative emotions

Dimitri Nestor Alice Van De Ville, Thomas William Arthur Bolton, Gwladys Rey

Affective inertia represents the lasting impact of transient emotions at one time point on affective state at a subsequent time point. Here we describe the neural underpinnings of inertia following negative emotions elicited by sad events in movies. Using ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2021

Re-creating Memories of Gulou: Three Temporalities and Emotions

Florence Graezer Bideau

In 2012, a project proposed by local authorities aimed to revitalise, after a century of interruption, the use of Beijing’s Bell and Drum Towers and the social traditions associated with them. As a result, more than 100 households living in 66 traditional ...

Routledge2021

Dynamics of amygdala connectivity in bipolar disorders: a longitudinal study across mood states

Dimitri Nestor Alice Van De Ville, Maria Giulia Preti, Thomas William Arthur Bolton, Gwladys Rey

Alterations in activity and connectivity of brain circuits implicated in emotion processing and emotion regulation have been observed during resting-state for different clinical phases of bipolar disorders (BD), but longitudinal investigations across diffe ...

SPRINGERNATURE2021

The role of the subgenual anterior cingulate cortex in dorsomedial prefrontal-amygdala neural circuitry during positive-social emotion regulation

Gwladys Rey, Dimitri Nestor Alice Van De Ville, Frank Scharnowski, Yury Koush

Positive-social emotions mediate one's cognitive performance, mood, well-being, and social bonds, and represent a critical variable within therapeutic settings. It has been shown that the upregulation of positive emotions in social situations is associated ...

Wiley2020

Reports of the Workshops Held at the 2020 International Association for the Advancement of Artificial Intelligence Conference on Web and Social Media

Jérémie Rappaz, Panagiotis Smeros

The workshop program of the Association for the Advancement of Artificial Intelligence's Fourteenth International Conference on Web and Social Media was held June 8 to 20, 2020. The conference venue, which had originally been Atlanta, Georgia, USA, had to ...

AMER ASSOC ARTIFICIAL INTELL2020

SciLens News Platform: A System for Real-Time Evaluation of News Articles

Karl Aberer, Panagiotis Smeros, Angeliki Romanou

We demonstrate the SciLens News Platform, a novel system for evaluating the quality of news articles. The SciLens News Platform automatically collects contextual information about news articles in real-time and provides quality indicators about their valid ...

ASSOC COMPUTING MACHINERY2020

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

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

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

Brain networks for engaging oneself in positive-social emotion regulation

Dimitri Nestor Alice Van De Ville, Frank Scharnowski, Yury Koush

Positive emotions facilitate cognitive performance, and their absence is associated with burdening psychiatric disorders. However, the brain networks regulating positive emotions are not well understood, especially with regard to engaging oneself in positi ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2019

Modeling the Impact of Modifiers on Emotional Statements

Pearl Pu Faltings, Valentina Sintsova

Humans use a variety of modifiers to enrich communications with one another. While this is a deliberate subtlety in our language, the presence of modifiers can cause problems for emotion analysis by machines. Our research objective is to understand and com ...

SPRINGER NATURE SWITZERLAND AG2018

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