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You might not know what a “smombie” is, but you have certainly already met one today. In public streets and places, the so-called “smartphone zombies” regularly cross our ways. They walk slowly, in peculiar ways, their eyes and fingers focused on their smartphone displays. While some cities have already introduced specific walking lanes or ground-level traffic signs for smartphone users “on the go”, it is not only road safety that is at stake. Frequently hunching over our phones causes cervical pain, we are addicted to likes on social media, and the fear of missing out prevents us from switching off our phones. If asked if mobile device use is possibly harmful to our bodies and minds, most people would spontaneously agree. Our social skills seem to constantly diminish since smartphones have become an everyday tool: we stick to them like glue while waiting for the bus, while walking, while eating, even while being with others. Will we turn into social zombies in the end?
We present the second edition of the GermEval Shared Task on the Identification of Offensive Language. This shared task deals with the classification of German tweets from Twitter. Two subtasks were continued from the first edition, namely a coarse-grained binary classification task and a fine-grained multi-class classification task. As a novel subtask, we introduce the classification of offensive tweets as explicit or implicit.
The shared task had 13 participating groups submitting 28 runs for the coarse-grained
task, another 28 runs for the fine-grained task, and 17 runs for the implicit-explicit
task.
We evaluate the results of the systems submitted to the shared task. The shared task homepage can be found at https://projects.fzai.h-da.de/iggsa/
Forms of verbal violence, such as Hate Speech and Cyberbullying, currently are issues with high societal relevance. In the social discourse they are associated with brutalization of social interaction. Against this background it is necessary to integrate the topic into school lessons. This chapter outlines a teaching unit on verbal violence in the digital age. It has been developed together with students and can therefore be used in German classes but it is also relevant for use in academic teaching.
Wenn Menschen heute auf der Straße protestieren, sind immer auch digitale Medien im Spiel. Ob zur Mobilisierung oder Koordination, zur Vor- oder Nachbereitung: Proteste sind durch die sprachlichen Interaktionen und medialen Praktiken der Teilnehmenden bestimmt. Mark Dang-Anh widmet sich der situativen Protestkommunikation in digitalen Medien mit einem Fokus auf Interaktionen im Mikrobloggingdienst Twitter. Anhand zweier Falluntersuchungen von Protesten gegen rechte Aufmärsche analysiert er die vielschichtigen Relationen zwischen Sprache, Medien und der sozialen Praxis des Protestierens.
Naming and titling have been discussed in sociolinguistics as markers of status or solidarity. However, these functions have not been studied on a larger scale or for social media data. We collect a corpus of tweets mentioning presidents of six G20 countries by various naming forms. We show that naming variation relates to stance towards the president in a way that is suggestive of a framing effect mediated by respectfulness. This confirms sociolinguistic theory of naming and titling as markers of status.