A5023141507- Misinformation and Its Impacts
- Spam and Phishing Detection
- Anomaly Detection Techniques and Applications
- Advanced Malware Detection Techniques
- Complex Network Analysis Techniques
- Adversarial Robustness in Machine Learning
- Urban Transport and Accessibility
- Transportation and Mobility Innovations
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Human Mobility and Location-Based Analysis
- Opinion Dynamics and Social Influence
- Digital Mental Health Interventions
- Mobile Crowdsensing and Crowdsourcing
- Mental Health via Writing
- Advanced Image and Video Retrieval Techniques
- Web Data Mining and Analysis
- Topic Modeling
- Time Series Analysis and Forecasting
- Network Security and Intrusion Detection
- Telemedicine and Telehealth Implementation
- Advanced Neural Network Applications
- Mobile Health and mHealth Applications
- Educational Games and Gamification
- Transportation Planning and Optimization
Centre for Research and Technology Hellas
2015-2024
Information Technologies Institute
2015-2024
Digital health technologies have the potential to alleviate increasing cancer burden. Incorporating patients' perspectives on digital tools has been identified as a critical determinant for their successful uptake in care. The main objective of this scoping review was provide an overview existing evidence and requirements patient-facing technologies. Three databases (CINAHL, MEDLINE, Science Direct) were searched 128 studies eligible inclusion. Web-based software/platforms, mobile or...
The publication and spread of misleading content is a problem increasing magnitude, complexity consequences in world that increasingly relying on user-generated for news sourcing. To this end, multimedia analysis techniques could serve as an assisting tool to spot debunk the Web. In paper, we tackle detection Twitter real time. We propose number new features semi-supervised learning event adaptation approach helps generalize capabilities trained models unseen content, even when interest...
The proliferation of online news, especially during the “infodemic” that emerged along with COVID-19 pandemic, has rapidly increased risk and, more importantly, volume misinformation. Online Social Networks (OSNs), such as Facebook, Twitter, and YouTube, serve fertile ground for disseminating misinformation, making need tools analyzing social web gaining insights into communities drive misinformation vital. We introduce MeVer NetworkX analysis visualization tool, which helps users delve...
Enabled by recent improvements in generation methodologies, DeepFakes have become mainstream due to their increasingly better visual quality, the increase easy-to-use tools and rapid dissemination through social media. This fact poses a severe threat our societies with potential erode cohesion influence democracies. To mitigate threat, numerous DeepFake detection schemes been introduced literature but very few provide web service that can be used wild. In this paper, we introduce MeVer...
In recent years, social media have become a powerful medium of public discourse, and in particular microblogging services (e.g., Twitter) play crucial role information dissemination. Being able to efficiently monitor glean insights from streams interactions could be valuable for better mapping engaging with community interest. this paper, we focus on the domain air quality present outcomes our work context research project, called hackAIR. To fulfill project's communication needs provide...
While Bike-Sharing Systems (BSS) are going through a period of rampant growth, users can be reluctant to use them, especially for specific activities, that diverge from entertainment. In this paper, we present holistic action plan consists both actions aim optimize the functionality BSS and others promote its usage, promotions awareness campaigns. The is part CHANGE project it achieved largely developed i-CHANGE platform, which offers an integrated tool manage, analyze operations in city...
Mental health issues of breast cancer patients and survivors are detrimental to their recovery, reintegration normal living, quality life. With the increasing popularity social media platforms online browsing, combined with rise Natural Language Processing (NLP), there exists great potential in analyzing textual information various user activities infer important indicators about a person's behaviour emotional well-being. This work proposes NLP-based framework for emotion extraction from...
Enabled by recent improvements in generation methodologies, DeepFakes have become mainstream due to their increasingly better visual quality, the increase easy-to-use tools and rapid dissemination through social media. This fact poses a severe threat our societies with potential erode cohesion influence democracies. To mitigate threat, numerous DeepFake detection schemes been introduced literature but very few provide web service that can be used wild. In this paper, we introduce MeVer...