• in progress

    Reduzierung des Moderationsaufwandes von Nutzer-Kommentaren mit Hilfe von Automatisierung durch textanalytische Methoden

    In recent years, a rapid increase in racist, political and religiously motivated hate commentary has led many newspaper editors to deactivate their online comment functions on their websites. While this is understandable from an economic point of view for the individual publishers, serious problems for the public discourse arise in view of restriction quotas of up to 50%. The MODERAT! project aims to use an integrative and interdisciplinary approach to develop software tools and a web platform that will enable operators to moderate web debates with significantly less effort. Comments are analyzed automatically, so that only a small number of critical comments have to be viewed manually. In this way, media houses and publishers should be able to offer web debates again on their own websites and thus enter into a more active exchange with the readership.

    Project status in progress
    Project time 07.02.2019- 01.03.2022
    Website https://www.moderat.nrw/
    Funding source MKW - EFRE-Wettbewerb Neue Leitmärkte - CreateMedia.NRW
    Project number EFRE-0801431
    Keywords Information Systems; Information Management


    Joint research project: Identifying, verifying, and stopping concealed propaganda attacks via online media - Sub-Project: Coordination of simulation, identification, and defense against concealed propaganda attacks

    This project addresses the identification and verification of (semi-)automated concealed propaganda in online media (e.g. in social networks) as an interdisciplinary approach.

    Project status in progress
    Project time 01.06.2016- 30.11.2019
    Website http://www.propstop.de
    Funding source Federal Ministry of Education and Research
    Project number 16KIS0495K
    Keywords Information Systems, Social Media, Propaganda, Public Opinion, Web


    Architectures for Evolutionary Multi-Objective Algorithms to support User Expertise Integration

    This project strives to analyze existing algorithm architectures and design new structures such that integration of expertise becomes seamlessly possible. Users should be free of the need to redesign or deeply understand the general algorithms structure.

    Project status in progress
    Project time since 01.09.2014
    Keywords Computer Science, Algorithm Research, Application, Multi-Objective Optimization, Computational Intelligence


  • definitely finished

    Validation of automated identification of Social Bots

    Project status definitely finished
    Project time 20.07.2017- 20.12.2017
    Funding source Federal Ministry of the Interior
    Project number 48216/2017
    Keywords Social Bots; Information Systems


    9th International Conference on Evolutionary Multi- Criterion Optimization, Münster 19. - 22.03.2017

    EMO 2017 is the 9th International Conference on Evolutionary Multi- Criterion Optimization, aiming to continue the success of previous EMO conferences. We will bring together both the EMO and the multiple criteria decision making (MCDM) communities and moreover focus on solving real-world problems in government, business and industry. The classical EMO format will be supplemented by an EMO competition.

    Project status definitely finished
    Project time 19.03.2017- 22.03.2017
    Website http://www.emo2017.org
    Funding source DFG - International Scientific Events
    Project number TR 891/9-1
    Keywords Evolutionary Multiobjective Optimization


    Hybridization of indicator-based metaheuristics with modern local search methods in multiobjective optimization

    The project realizes international expertise exchange between German and Mexican researchers in the context of hybrid evolutionary multi-objective optimization. A special focus lies on integrating local search into state-of-the-art meta-heuristics like SMS-EMOA and dP-EMOA.

    Project status definitely finished
    Project time 01.01.2014- 31.12.2015
    Funding source German Academic Exchange Service
    Project number 57065955
    Keywords Computer Science, Evolutionary Multi-Objective Optimization, Local Search, Hybridization


    Addressing Current Challenges in Evolutionary Multi-Objective Optimization: Indicator-based Selection, Convergence and Applicability

    This project aims to initiate and intensify bi-lateral collaboration of researchers from Brazil and Germany under the umbrella of current research topics in the domain of evolutionary multi-objective optimization.

    Project status definitely finished
    Project time 01.01.2014- 31.12.2014
    Funding source DFG - Initiation of International Collaboration
    Project number TR 891/7-1
    Keywords Evolutionary Multi-Objective Optimization; Indicator-based Selection