Projekt

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This project aims to develop a virtual companion for Social Media users that educates and supports teenage school students facing the threats of Social Media. These include discrimination and biases in general, possibly escalating to hate speech, bullying, fake news and other toxic content that can strongly affect the users in their real lives. The companion will raise awareness of potential threats in Social Media while still providing a satisfactory experience through the use of innovative gamification strategies and educative information selection algorithms. Using carefully designed gamification strategies, based on the concept of interactive counter-narrative, together with a learnt model of diffusion of biased and/or toxic content in Social Media, the companion will learn and revise its user interaction strategies in order to support the development of coping strategies in the targeted learner group. These strategies will be refined and personalized for different users and their social niches, pursuing the dual aims of (A) improving and creating healthy social relationships between the users, peers and the targets of bias, as well as, (B) increasing their understanding of the social effects of toxic content in Social Media and the user's role in its propagation. Experimentation will use data harvested from real Social Media and re-enact these examples in restricted and controllable conditions (e.g. schools, classes).

• Prof. Dr. Sabrina Eimler

  Hochschule Ruhr West
  Fachbereich 1
  Institut Positive Computing
  Campus Bottrop
  Bottrop
  

• Prof. Dr. Dimitri Ognibene

  University of Milan-Bicocca
  Department of Psychology
  Milan
  Italien
  

• Prof. Dr. Heinz Ulrich Hoppe

  RIAS - Rhein-Ruhr Institut für
  angewandte Systeminnovation e.V.
  Duisburg
  

• Dr.-Ing. Davinia Hernández-Leo, Ph.D.

  Universitat Pompeu Fabra
  Information and Communication Technologies
  Barcelona
  Spanien
  

• Dr.-Ing. Davide Taibi

  National Research Council (CNR)
  Istituto per le Tecnologie Didattiche
  Palermo
  Italien
  

• Prof. Dr. Udo Kruschwitz

  Universität Regensburg
  Lehrstuhl für Informationswissenschaft
  Regensburg
  

• See the Image in Different Contexts : Using Reverse Image Search to Support the Identification of Fake News in Instagram-Like Social Media.

• Hartl, P., & Kruschwitz, U.