Publications associées à Désinformation sur la pandémie de Covid-19

Challenges of COVID-19 Case Forecasting in the US, 2020-2021

Joseph Chadi Benoit Lemaitre, Pan Xu, Weitong Zhang, Wei Cao, Myungjin Kim, Shan Yu, Xinyi Li, Lei Gao

During the COVID-19 pandemic, forecasting COVID-19 trends to support planning and response was a priority for scientists and decision makers alike. In the United States, COVID-19 forecasting was coordinated by a large group of universities, companies, and ...

Public Library Science2024

Examining European Press Coverage of the Covid-19 No-Vax Movement: An NLP Framework

Daniel Gatica-Perez

This paper examines how the European press dealt with the no-vax reactions against the Covid-19 vaccine and the dis- and misinformation associated with this movement. Using a curated dataset of 1786 articles from 19 European newspapers on the anti-vaccine ...

ASSOC COMPUTING MACHINERY2023

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

Specchio-COVID19 cohort study: a longitudinal follow-up of SARS-CoV-2 serosurvey participants in the canton of Geneva, Switzerland

Stéphane Joost, Idris Guessous

Introduction The COVID-19 pandemic has affected billions of people around the world both directly through the infection itself and indirectly through its economic, social and sanitary impact. Collecting data over time is essential for the understanding of ...

BMJ PUBLISHING GROUP2022

Host genomics of SARS-CoV-2 infection

Jacques Fellay, Christian Axel Wandall Thorball

SARS-CoV-2 infected a large fraction of humans in the past 2 years. The clinical presentation of acute infection varies greatly between individuals, ranging from asymptomatic or mild to life-threatening COVID-19 pneumonia with multi-organ complications. De ...

SPRINGERNATURE2022

Using “proof of personhood” to tackle social media risks

The ease of creating fake virtual identities plays an important role in shaping the way information — and misinformation — circulates online. Social media platforms are increasingly prominent in shaping public debates, and the tension between online anonym ...

International Risk Governance Center (IRGC)2021

SciClops: Detecting and Contextualizing Scientific Claims for Assisting Manual Fact-Checking

Karl Aberer, Panagiotis Smeros, Carlos Castillo

This paper describes SciClops, a method to help combat online scientific misinformation. Although automated fact-checking methods have gained significant attention recently, they require pre-existing ground-truth evidence, which, in the scientific context, ...

ACM2021

Detection of Spatiotemporal Clusters of COVID-19-Associated Symptoms and Prevention Using a Participatory Surveillance App: Protocol for the @choum Study

Stéphane Joost, Idris Guessous, David Nicolas De Ridder

Background: The early detection of clusters of infectious diseases such as the SARS-CoV-2-related COVID-19 disease can promote timely testing recommendation compliance and help to prevent disease outbreaks. Prior research revealed the potential of COVID-19 ...

JMIR PUBLICATIONS, INC2021

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Désinformation sur la pandémie de Covid-19

Challenges of COVID-19 Case Forecasting in the US, 2020-2021

Examining European Press Coverage of the Covid-19 No-Vax Movement: An NLP Framework

Combating Online Scientific Misinformation

Synthetic Disinformation Attacks on Automated Fact Verification Systems

How Did Europe's Press Cover Covid-19 Vaccination News? A Five-Country Analysis

Specchio-COVID19 cohort study: a longitudinal follow-up of SARS-CoV-2 serosurvey participants in the canton of Geneva, Switzerland

Host genomics of SARS-CoV-2 infection

Using “proof of personhood” to tackle social media risks

SciClops: Detecting and Contextualizing Scientific Claims for Assisting Manual Fact-Checking

Detection of Spatiotemporal Clusters of COVID-19-Associated Symptoms and Prevention Using a Participatory Surveillance App: Protocol for the @choum Study

Graph Chatbot

Chattez avec Graph Search

Combating Online Scientific Misinformation

Examining European Press Coverage of the Covid-19 No-Vax Movement: An NLP Framework

Challenges of COVID-19 Case Forecasting in the US, 2020-2021

Synthetic Disinformation Attacks on Automated Fact Verification Systems

Specchio-COVID19 cohort study: a longitudinal follow-up of SARS-CoV-2 serosurvey participants in the canton of Geneva, Switzerland

How Did Europe's Press Cover Covid-19 Vaccination News? A Five-Country Analysis

Host genomics of SARS-CoV-2 infection

Using “proof of personhood” to tackle social media risks

SciClops: Detecting and Contextualizing Scientific Claims for Assisting Manual Fact-Checking

Detection of Spatiotemporal Clusters of COVID-19-Associated Symptoms and Prevention Using a Participatory Surveillance App: Protocol for the @choum Study