Publications associées à Opinion publique

Discovering Influencers in Opinion Formation Over Social Graphs

Ali H. Sayed, Mert Kayaalp, Valentina Shumovskaia, Mert Cemri

The adaptive social learning paradigm helps model how networked agents are able to form opinions on a state of nature and track its drifts in a changing environment. In this framework, the agents repeatedly update their beliefs based on private observation ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

The Impact of Data Persistence Bias on Social Media Studies

Tugrulcan Elmas

Social media studies often collect data retrospectively to analyze public opinion. Social media data may decay over time and such decay may prevent the collection of the complete dataset. As a result, the collected dataset may differ from the complete data ...

Assoc Computing Machinery2023

Predicting Survey Response with Quotation-based Modeling: A Case Study on Favorability towards the United States

Alireza Amirshahi, Saleh Baghersalimi, Jonathan Philippe Reymond

The acquisition of survey responses is a crucial component in conducting research aimed at comprehending public opinion. However, survey data collection can be arduous, time-consuming, and expensive, with no assurance of an adequate response rate. In this ...

IEEE COMPUTER SOC2023

Opinion Formation over Adaptive Networks

Virginia Bordignon

An adaptive network consists of multiple communicating agents, equipped with sensing and learning abilities that allow them to extract meaningful information from measurements. The objective of the network is to solve a global inference problem in a decent ...

EPFL2022

The effect of spokesperson attribution on public health message sharing during the COVID-19 pandemic

Robert West, Andreas Oliver Spitz, Ahmad Abu-Akel

It is urgent to understand how to effectively communicate public health messages during the COVID-19 pandemic. Previous work has focused on how to formulate messages in terms of style and content, rather than on who should send them. In particular, little ...

2021

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

Panagiotis Smeros, Jérémie Rappaz

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

Assessing Public Opinion on CRISPR-Cas9: Combining Crowdsourcing and Deep Learning

Marcel Salathé, Martin Mathias Müller, Martin Müller

Background: The discovery of the CRISPR-Cas9-based gene editing method has opened unprecedented new potential for biological and medical engineering, sparking a growing public debate on both the potential and dangers of CRISPR applications. Given the speed ...

JMIR PUBLICATIONS, INC2020

Percolation and Internet Science

Emanuele Massaro

Percolation, in its most general interpretation, refers to the “flow” of something (a physical agent, data or information) in a network, possibly accompanied by some nonlinear dynamical processes on the network nodes (sometimes denoted reaction–diffusion s ...

2019

‘The Towers of Terror’: A Critical Analysis of Ernő Goldfinger’s Balfron and Trellick Towers

Nicola Braghieri

When J. G. Ballard published his masterpiece High-Rise in 1975, many readers in London automatically identified the apartment building that is the protagonist of the dystopian novel as the infamous Trellick Tower at Kensal Town, certainly one of the most c ...

2019

Bridging the Gap Between Social Animal and Unsocial Machine: A Survey of Social Signal Processing

Alessandro Vinciarelli

Social Signal Processing is the research domain aimed at bridging the social intelligence gap between humans and machines. This paper is the first survey of the domain that jointly considers its three major aspects, namely, modeling, analysis, and synthesi ...

2012