Geographic information extraction from texts

A large volume of unstructured texts, containing valuable geographic information, is available online. This information – provided implicitly or explicitly – is useful not only for scientific studies (e.g., spatial humanities) but also for many practical applications (e.g., geographic information retrieval). Although large progress has been achieved in geographic information extraction from texts, there are still unsolved challenges and issues, ranging from methods, systems, and data, to applications and privacy. Therefore, this workshop will provide a timely opportunity to discuss the recent advances, new ideas, and concepts but also identify research gaps in geographic information extraction

SoK: hate, harassment, and the changing landscape of online abuse

We argue that existing security, privacy, and antiabuse protections fail to address the growing threat of online hate and harassment. In order for our community to understand and address this gap, we propose a taxonomy for reasoning about online hate and harassment. Our taxonomy draws on over 150 interdisciplinary research papers that cover disparate threats ranging from intimate partner violence to coordinated mobs. In the process, we identify seven classes of attacks—such as toxic content and surveillance—that each stem from different attacker capabilities and intents. We also provide longitudinal evidence from a three-year survey that hate and harassment is a pervasive, growing experience for online users, particularly for at-risk communities like young adults and people who identify as LGBTQ+. Responding to each class of hate and harassment requires a unique strategy and we highlight five such potential research directions that ultimately empower individuals, communities, and platforms to do so.Accepted manuscrip

Preserving individual privacy in ubiquitous e-commerce environments: a utility preserving approach for user-based privacy control

Applications such as e-commerce, smart home appliances, and healthcare systems, amongst other things, have become part and parcel of our daily lives. The data aggregated through these applications combined with state-of-the-art machine learning approaches have even increased the widespread uptake of these applications. However, such data aggregation and analytical practices have raised privacy concerns among users. Privacy-preserving machine learning models mitigate these concerns through private data aggregation and analytical techniques. The first objective of this thesis is to design a privacy preserving data aggregation and analytical approach for recommendation systems. Recommendation systems rely heavily on behavioural and preferential data of a user to produce accurate recommendations. Aggregation of such data can reveal sensitive information about users to the Third-Party Service Providers (TPSPs). We start with designing a recommendation system that uses Local Differential Privacy (LDP) based input data perturbation mechanism to perturb users’ ratings locally before sending it to the TPSP. Hence, the TPSP aggregates only the perturbed ratings and has no access to original ratings. This approach protects a user’s privacy from TPSPs who aggregate ratings to infer any sensitive information. Next, we propose an LDP-based hybrid recommendation framework to protect users’ privacy from TPSPs who aggregate both ratings and reviews. We propose to perturb user ratings and pre-process user reviews at the user-side before sending them to the TPSP. Such an approach ensures that the TPSP cannot aggregate the original ratings or reviews from the users. However, these approaches still do not protect a user’s privacy from TPSPs who collect implicit feedback to predict a user’s preferences. Hence, we design an LDP-based federated matrix factorization for implicit feedback. We motivate the idea of stochastic gradient perturbation using the Bounded Laplace (BLP) mechanism to ensure strong privacy protection for users. The second objective of this thesis is to design a privacy preserving untraceable TPSP-based payment protocol. A TPSP based payment system does not protect a customer’s privacy in the face of an untrustworthy TPSP. Customers cannot make transactions anonymously as the TPSP collects detailed transaction-related information. TPSP uses this information to create a comprehensive behaviour profile of each customer, based on which TPSP can deduce sensitive information about a customer’s lifestyle. Hence we propose an untraceable payment system in this thesis to tackle this problem

Methods in Contemporary Linguistics

The present volume is a broad overview of methods and methodologies in linguistics, illustrated with examples from concrete research. It collects insights gained from a broad range of linguistic sub-disciplines, ranging from core disciplines to topics in cross-linguistic and language-internal diversity or to contributions towards language, space and society. Given its critical and innovative nature, the volume is a valuable source for students and researchers of a broad range of linguistic interests

Methods in Contemporary Linguistics

The present volume is a broad overview of methods and methodologies in linguistics, illustrated with examples from concrete research. It collects insights gained from a broad range of linguistic sub-disciplines, ranging from core disciplines to topics in cross-linguistic and language-internal diversity or to contributions towards language, space and society. Given its critical and innovative nature, the volume is a valuable source for students and researchers of a broad range of linguistic interests

Methods in Contemporary Linguistics

The present volume is a broad overview of methods and methodologies in linguistics, illustrated with examples from concrete research. It collects insights gained from a broad range of linguistic sub-disciplines, ranging from core disciplines to topics in cross-linguistic and language-internal diversity or to contributions towards language, space and society. Given its critical and innovative nature, the volume is a valuable source for students and researchers of a broad range of linguistic interests

Proceedings of Sinn und Bedeutung 21

TesisSe realizó un análisis clínico-electrocardiográfico integral de los hemibloqueos comprendiendo incidencia, edad, etiología, evaluación cuantitativa de los criterios diagnósticos, relación con los trastornos de conducción aurículo-ventricular, y pronóstico. Con tal motivo se estudiaron 221hemibloqueos encontrados en 7,130 pacientes adultos de sexo masculino en un servicio de cardiología y medicina. Los hemibloqueos fueron diagnosticados mediante los criterios señalados por Rosenbaum, Castellanos, y Prior y Blount