A5063277598- Misinformation and Its Impacts
- Opinion Dynamics and Social Influence
- Complex Network Analysis Techniques
- Complex Systems and Decision Making
- Social Media and Politics
- Spam and Phishing Detection
- Privacy, Security, and Data Protection
- Data-Driven Disease Surveillance
- Media Influence and Politics
- Electoral Systems and Political Participation
- Anomaly Detection Techniques and Applications
- Disaster Management and Resilience
- Media Studies and Communication
- Tropical and Extratropical Cyclones Research
- Digital Marketing and Social Media
- COVID-19 Digital Contact Tracing
- Media Influence and Health
- Flood Risk Assessment and Management
- Recommender Systems and Techniques
- Legal and Policy Issues
- Educational and Psychological Assessments
- Public Relations and Crisis Communication
- Social Representations and Identity
- Cognitive Science and Mapping
- Information and Cyber Security
European University Institute
2024
Maastricht University
2023
Delft University of Technology
2017-2022
Policy Analysis (United States)
2021
Rumor spreading in online social networks can inflict serious damages on individual, organizational, and societal levels. This problem has been addressed via computational approach recent years. The dominant technique for the identification of rumors is binary classification that uses rumor non-rumor training. In this method, way annotating training data points determines how each class defined classifier. Unlike samples often are annotated similarly, non-rumors get their labels arbitrarily...
Increasingly taking place in online spaces, modern political conversations are typically perceived to be unproductively affirming---siloed so called "echo chambers" of exclusively like-minded discussants. Yet, date we lack sufficient means measure viewpoint diversity conversations. To this end, paper, operationalize two metrics proposed for recommender systems and adapt them the context social media This is first study apply these (Representation Fragmentation) real world data consider...
Abstract Social choice aggregation strategies have been proposed as an explainable way to generate recommendations groups of users. However, it is not trivial determine the best strategy apply for a specific group. Previous work highlighted that performance group recommender system affected by internal diversity members’ preferences. few them empirically evaluated how distribution preferences in determines which most effective. Furthermore, only studies impact providing explanations...
Through an online field experiment, we test traditional and novel counter-misinformation strategies among fringe communities. Though generally effective, have not been tested in communities, do address the infrastructure of misinformation sources supporting such consumption. Instead, propose to activate source criticism by exposing sources’ unreliability. Based on a snowball sampling German communities Facebook, if debunking exposure reduce groups’ consumption levels two popular sources....
The spread of misinformation is one the severe challenges that societies have been dealing with for many years. However, rapid growth social media has accelerated creation and circulation such information turned it into a potential threat to main societal institutions as peace democracy. Although iconic figures, policymakers, business leaders researchers warned us serious repercussions misinformation, clear course action not yet visible. To tackle an issue, preliminary step would be...
This study addresses the problem of rumour scarcity versus non-rumour abundance in automatic detection. To tackle this issue, we portray as an anomaly by showing how disproportionate is number rumours non-rumours. imbalance scrutinized comparing rate news production fact-check production. Then, exploit one-class classification approach to distinguish from non-rumour. One-class separates via training classifier with only train classifier, extract 33 short-term features, regarding purpose...
In response to Russia's full-scale invasion of Ukraine in February 2022, the European Union banned or geo-blocked Russian propaganda media fearing effects Kremlin's information warfare on internal public opinion during largest security crisis modern history.We investigate blocks' effectiveness limiting sharing content among vulnerable Western fringe communities.By studying posting patterns Facebook three months before and after geo-block, we find that geo-block successfully reduced...
The spread of false and unverified information has the potential to inflict damage by harming reputation individuals or organisations, shaking financial markets, influencing crowd decisions in important events. This phenomenon needs be properly curbed, otherwise it can contaminate other aspects our social life. In this regard, academia as a key institution against is expected play pivotal role. Despite great deal research arena, amount progress not clear yet. lead misjudgements about...
Rumour is a collective emergent phenomenon with potential for provoking crisis. Modelling approaches have been deployed since five decades ago; however, the focus was mostly on epidemic behaviour of rumours which does not take into account differences agents. We use social practice theory to model agent decision making in organizational rumourmongering. Such an approach provides us opportunity rumourmongering agents layer cognitive realism and study impacts various intervention strategies...
Increasingly taking place in online spaces, modern political conversations are typically perceived to be unproductively affirming -- siloed so called ``echo chambers'' of exclusively like-minded discussants. Yet, date we lack sufficient means measure viewpoint diversity conversations. To this end, paper, operationalize two metrics proposed for recommender systems and adapt them the context social media This is first study apply these (Representation Fragmentation) real world data consider...
The phenomenon of rumour spreading refers to a collective process where people participate in the transmission unverified and relevant information make sense ambiguous, dangerous, or threatening situation. dissemination rumours on large scale no matter with what purpose could precipitate catastrophic repercussions. This research aims at addressing this challenge systematically. More detail, primary objective dissertation is To systematically study confrontation within online social media....