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Comment Analyzer: A Tool for Analyzing Comment sets and Thread Structures of News Articles

IEEE Transactions on visualization and Computer Graphics 2025年 PP卷 PP页

作者： Kiesel, Dora Riehmann, Patrick Engelmann, Ines Ramezani, Hanna Froehlich, Bernd Bauhaus Universitat Weimar Virtual Reality and Visualization Group Germany Jönköping University Computer Science and Informatics Department School of Engineering Sweden Friedrich Schiller University Jena Empirical Methods of Communication Science Germany German Federal Agency for Civic Education Germany Bauhaus-Universitat Weimar Virtual Reality and Visualization Group Germany

The lack of visually guided data exploration tools limits the scope of research questions communication scientists are able to study. The Comment Analyzer steps in where traditional statistical tools fail when it comes to researching the commenting behavior of news article readers. The basis of such an analysis are comment-thread corpora in which comments are tagged with various deliberative quality indicators as well as political stance. Our analysis tool provides a visual querying system for the exploration and analysis of such corpora and allows social scientists to gain insights into the distributions and relations between comment attributes, the homogeneity of thread sets, frequent thread structures and changes in comment qualities over the course of a single but in particular of multiple threads at once. We developed the tool in close collaboration with communication scientists in a user-centered approach. The system has proven its utility in thorough reviews with the communication scientists, by corroborating existing findings in the literature but particularly by provoking and answering new research questions. Final reviews with five independent experts confirmed these observations and revealed the potential of the Comment Analyzer for other datasets currently being created and analyzed in the communication sciences © 1995-2012 IEEE.

关键词： Graph visualization Information visualization Multi-Attribute Aggregation set-based visualization Text visualization Tree Aggregation Visual Text Analytics

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