Abstract
Online conversations are often quite long with a lot of comments. Readers of these conversations may be interested in understanding how controversial the discussion is and how the differences of opinions arise for different topics. In this work, we are combining natural language processing with information visualization to support readers in exploring disagreements in online conversations. We present an initial prototype and discuss the possible directions for future work.
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Hoque, E., & Abid, E. (2019). Visual Exploration of Topic Controversy in Online Conversations. In Communications in Computer and Information Science (Vol. 1088, pp. 369–373). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-30712-7_46
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