DisInfo’20: Information Disorder: Disinformation and Coordinated Inauthentic Behavior
Тезисы до: 10.08.2020
Даты: 06.10.20 — 06.10.20
Е-мейл Оргкомитета: maurizio.tesconi AT iit.cnr.it or to stefano.cresci AT iit.cnr.it.
Организаторы: IIT-CNR & partners
Nowadays, social networking platforms are a crucial component of the public sphere, fostering discussions and influencing the public perception for a myriad of topics including politics, health, climate change, economics, migration, to name but a few. On the one hand, this represents an unprecedented opportunity to discuss and propose new ideas, democratizing information and giving voice to the crowds. On the other hand however, new socio-technical issues arise.
Among the most pressing issues is the spread of fictitious and low-quality information (e.g., fake news, rumors, hoaxes). These questionable means are often used to influence the opposing side about controversial and polarizing topics, or simply to sow discord and erode trust in governments, institutions and societies. The spread of low-quality information is sometimes carried out by groups of coordinated or automated accounts that pollute and tamper with our social environments by injecting and resharing a large number of targeted messages. These issues are currently exacerbated by the recent advances in AI that have made it easy and convenient to fabricate plausible texts, to create high-quality images of non-existing people, and to impersonate public characters in videos (e.g., deepfakes), at large. All these aspects jointly contribute to making our online social ecosystems the ideal landscape for deceit and manipulation. Therefore, prompt responses are expected from decision makers, scholars and practitioners in order to limit the spread and impact of these ailments.
The International Workshop on “Information Disorders: Fake News and Coordinated Inauthentic Behaviors (DisInfo’20)” focuses on the study, modeling, and characterization of all challenges related to mis- and dis-information, fake news, coordinated inauthentic behavior and information operations.
List of Topics
Areas of interest to DisInfo’20 include, but are not limited to, the following:
- Information diffusion models for understanding and thwarting the spread of low-quality information;
- Automatic techniques for the detection of propaganda and fake news;
- Understanding and detection of information operations;
- Characterization and detection of coordinated inauthentic behavior;
- Novel techniques for detecting malicious accounts (e.g., bots, cyborgs and trolls);
- Graph mining and network analysis approaches for studying polarized communities and for reducing polarization;
- Metrics, tools and methods for measuring the impact of fake news and of coordinated inauthentic behaviors;
- Detection of deepfake text, image, and video manipulation;
- Fake news and coordinated inauthentic behavior in infodemics;
- Case-studies on the spread and impact of fake news in controversial topics such as politics, health, climate change, economics, migration;
- Impact/Harm of misinformation on society;
- Types of misinformation: Rumour, Fake news;
- Studies (psychological or data analytics) related to misinformation spreaders.
Веб-сайт конференции: http://ci.iit.cnr.it/disinfo20