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Social and Behavioral Sciences Commons

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Full-Text Articles in Social and Behavioral Sciences

Towards A Requirement Framework For Online Participation Platforms, Astrid Hellsmanns, Claudia Niemeyer, Margeret A. Hall, Tom Zentek, Christof Weinhardt Jan 2016

Towards A Requirement Framework For Online Participation Platforms, Astrid Hellsmanns, Claudia Niemeyer, Margeret A. Hall, Tom Zentek, Christof Weinhardt

Interdisciplinary Informatics Faculty Proceedings & Presentations

Online participation platforms (OPPs) are frequently used by public institutions to involve citizens in political opinion forming and decision making. A literature re-view reveals different approaches to evaluate these OPPs. These approaches focus only on partial requirements of participation processes. In this research in progress, we develop and pretest an interdisciplinary literature-based requirement frame-work. It includes the categories usability, security, information, transparency, inte-gration, and mobilisation. Our aim is to close the research gap of a context-specific analysis and evaluation of OPPs.


Predicting Events Surrounding The Egyptian Revolution Of 2011 Using Learning Algorithms On Micro Blog Data, Benedikt Boecking, Margeret A. Hall, Jeff Schneider Jan 2014

Predicting Events Surrounding The Egyptian Revolution Of 2011 Using Learning Algorithms On Micro Blog Data, Benedikt Boecking, Margeret A. Hall, Jeff Schneider

Interdisciplinary Informatics Faculty Proceedings & Presentations

We aim to predict activities of political nature in Egypt which influence or reflect societal-scale behavior and beliefs by using learning algorithms on Twitter data. We focus on capturing domestic events in Egypt from November 2009 to November 2013. To this extent we study underlying communication patterns by evaluating content-based and meta-data information in classification tasks without targeting specific keywords or users. Classification is done using Support Vector Machines (SVM) and Support Distribution Machines (SDM). Latent Dirichlet Allocation (LDA) is used to create content-based input patterns for the classifiers while bags of Twitter meta-information are used with the SDM to …