A5063295175- Privacy, Security, and Data Protection
- Hate Speech and Cyberbullying Detection
- Corporate Governance and Management
- Advanced Malware Detection Techniques
- Privacy-Preserving Technologies in Data
- Spam and Phishing Detection
- Sharing Economy and Platforms
- Topic Modeling
- Explainable Artificial Intelligence (XAI)
- Misinformation and Its Impacts
- Corporate Social Responsibility and Sustainability
- Software Engineering Research
- Adversarial Robustness in Machine Learning
- Social Media and Politics
- Digital and Cyber Forensics
- Scientific Computing and Data Management
- Machine Learning in Healthcare
- Flexible and Reconfigurable Manufacturing Systems
- Technology Adoption and User Behaviour
- Freedom of Expression and Defamation
- Women's cancer prevention and management
- Supply Chain Resilience and Risk Management
- Business Process Modeling and Analysis
- Image and Video Quality Assessment
- Media Influence and Health
Technische Universität Berlin
2021-2024
German Research Centre for Artificial Intelligence
2023-2024
University of Cologne
2010-2024
Hamm-Lippstadt University of Applied Sciences
2023
ZF Friedrichshafen (Germany)
2015
Deutsche Nationalbibliothek
2010
Springer Nature (Germany)
2010
Praxis
2010
Nowadays, smartphones are equipped with various sensors collecting a huge amount of sensitive personal information about their users. However, for smartphone users, it remains hidden, and is accessed by used applications data requesters. Moreover, governmental institutions have no means to verify if requesting informa-tion compliant the General Data Protection Directive (GDPR), as infeasible check technical details requested that on market. Thus, this research aims shed light compliance...
The rapidly increasing amount of online information and the advent Generative Artificial Intelligence (GenAI) make manual verification impractical. Consequently, AI systems are deployed to detect disinformation deepfakes. Prior studies have indicated that combining human capabilities yields enhanced performance in detecting disinformation. Furthermore, European Union (EU) Act mandates supervision for applications areas impacting essential rights, like freedom speech, necessitating be...
Counterfactual examples are widely used in natural language processing (NLP) as valuable data to improve models, and explainable artificial intelligence (XAI) understand model behavior. The automated generation of counterfactual remains a challenging task even for large models (LLMs), despite their impressive performance on many tasks. In this paper, we first introduce ZeroCF, faithful approach leveraging important words derived from feature attribution methods generate zero-shot setting....
Fact-checking is necessary to address the increasing volume of misinformation. Traditional fact-checking relies on manual analysis verify claims, but it slow and resource-intensive. This study establishes baseline comparisons for Automated Fact-Checking (AFC) using Large Language Models (LLMs) across multiple labeling schemes (binary, three-class, five-class) extends traditional claim verification by incorporating analysis, verdict classification, explanation in a structured setup provide...
Nowadays, many apps use location data to estimate the user's behavior for targeted advertising, predicting significant locations, personal preferences, state of health, and sports activities. Users location-based services are often left with no other choice than accept or reject tracking when they want various applications. Especially, users higher privacy concerns may reduce frequency by turning it off in settings. However, most unaware that applications installed on their phones...
Manual verification has become very challenging based on the increasing volume of information shared online and role generative Artificial Intelligence (AI). Thus, AI systems are used to identify disinformation deep fakes online. Previous research shown that superior performance can be observed when combining human expertise. Moreover, according EU Act, oversight is inevitable using in a domain where fundamental rights, such as right free expression, might affected. need transparent offer...
Abstract Quaternary rocks from the East and West Eifel volcanic fields in western Germany are a key suite of intraplate that can provide insights into volcanism Central European Volcanic Province (CEVP) continental general. We present comprehensive dataset for lavas including isotope as well major trace element data 59 samples covering representative compositions different fields. In line with previous studies, all SiO 2 -undersaturated, alkaline-rich mainly comprise primitive basanites,...
The subjective quality of experience (QoE) in multimedia contexts is influenced by various factors, including individual differences among raters and experimental setups. While the latter has been extensively studied, former remains relatively unexplored. This paper investigates impact hangriness - a mental state irritability frustration caused hunger on QoE ratings. In our analysis, appears to be prevalent specific time interval, where individuals have not consumed any food between five...
Android applications request specific permissions from users during the installations to perform required functionalities by accessing system resources and personal information. Usually, must approve requested (apps) installation process before apps can collect privacy- or security-relevant However, recent studies have shown that are overwhelmed with information provided in privacy policies do not understand permission requests which necessary for certain applications. Hereby, collection of...
With the rapid growth of social media and online platforms, spread disinformation has become rampant across globe among different languages. Detecting in non-English languages is crucial due to global nature disinformation, which exceeds linguistic barriers. Addressing this issue effectively requires robust detection mechanisms tailored A multi-lingual dataset important allow for application multilingual approaches various In paper, we present our proposed on fact-checked statements European...
Preservation of private user data is paramount importance for high Quality Experience (QoE) and acceptability, particularly with services treating sensitive data, such as IT-based health services. Whereas anonymization techniques were shown to be prone re-identification, synthetic generation has gradually replaced since it relatively less time resource-consuming more robust leakage. Generative Adversarial Networks (GANs) have been used generating datasets, especially GAN frameworks adhering...
Companies frequently make claims about positive impacts on the environment, but these are not always valid. In this sense, "greenwashing" is used when a company states false claim its products and practices being environmentally friendly. It an important issue has attracted attention of policymakers to strengthen consumer law new companies with mission helping brands consumers become more eco-friendly. However, manual screening websites social networks for sustainable (green claims)...