Detecting Offensive Statements towards Foreigners in Social Media

Recently, politicians and media companies identified an increasing number of offensive statements directed against foreigners and refugees in Europe. In Germany, for example, the political group “Pegida” drew international attention by frequently publishing offensive content concerning the religion of Islam. As a consequence, the German government and the social network Facebook cooperate to address this problem by creating a task force to manually detect offensive statements towards refugees and foreigners. In this work, we propose an approach to automatically detect such statements aiding personnel in this labor-intensive task. In contrast to existing work, we assess severity values to offensive statements and identify the referenced targets. This way, we are able to selectively detect hostility towards foreigners. To evaluate our approach, we develop a dataset containing offensive statements including their target. As a result, a substantial amount of offensive statements and a moderate amount of the referenced victims was detected correctly

DETECTING CYBERBULLYING IN ONLINE COMMUNITIES

Online communities are platforms enabling their users to interact over the web. In particular, they are popular among adolescents as a tool to discuss topics of mutual interest. However, offending commu-nication is a growing issue in these online environments. In its basic form, the process of sending mes-sages over electronic media to cause psychological damage to a victim is called online harassment. In a more severe form, cyberbullying is the process of sending offending messages several times to the same victim by the same offender. In this work, we propose an approach to detect cyberbullies and their victims. Identifying and aiding victims received only brief attention in existing work. We introduce a harassment graph to capture multiple message exchanges comprising cyberbullying cases. We show that our approach is able to precisely detect cyberbullies and their victims. Additionally, we propose metrics to measure the severity of online harassment and cyberbullying cases in terms of quantitative aspects. In particular, the metrics allow to identify victims of severe cyberbullying cases and might be used as an early indicator to provide fast and selective aid by administrators. We further propose use cases for our approach in online communities to tackle the problem of cyberbullying

Detecting Online Harassment in Social Networks

Online Harassment is the process of sending messages over electronic media to cause psychological harm to a victim. In this paper, we propose a pattern-based approach to detect such messages. Since user generated texts contain noisy language, we perform a normalization step first to transform the words into their canonical forms. Additionally, we introduce a person identification module that marks phrases which relate to a person. Our results show that these preprocessing steps increase the classification performance. The pattern-based classifier uses the information provided by the preprocessing steps to detect patterns that connect a person to profane words. This technique achieves a substantial improvement compared to existing approaches. Finally, we discuss the portability of our approach to Social Networks and its possible contribution to tackle the abuse of such applications for the distribution of Online Harassment

Neueste Entwicklungen zum Laserstrahlschweißen von zyklisch belasteten Mischverbindungen im PKW-Antriebsstrang

Laserstrahlschweißen zyklisch hochbelasteter Antriebskomponenten aus hochfesten Stahl- und Gusseisenwerkstoffen sowie deren Mischverbindungen stellt aus schweißmetallurgischer, prozesstechnischer und konstruktiver Sicht eine große Herausforderung dar. Verbesserte Strahlquellen erweitern das Einsatzspektrum bis hin zum Fügen von Gusseisen ohne Zusatzwerkstoff. Dabei können neben der Sicherstellung einer ausreichenden Schweißeignung auch Vorteile hinsichtlich Bauteilqualität und Wirtschaftlichkeit genutzt werden. Ein ganzheitlicher Ansatz zur belastungs- und verfahrensgerechten Bauteilgestaltung ermöglicht eine effektive Optimierung der Schweißkonstruktion. Dabei wird die Realteilbeanspruchung auf einen vereinfachten Prüfkörper übertragen und die Schwingfestigkeit der Schweißnaht unter kombinierter Torsions-Axial-Belastung ermittelt

Organische Chemie 2008

Braese S, Wuerthner F, Tschierske C, et al. Organische Chemie 2008. Nachrichten aus der Chemie. 2009;57(3):252-277