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2017 IEEE Pacific Visualization Symposium (PacificVis) (2017)
Seoul, South Korea
April 18, 2017 to April 21, 2017
ISSN: 2165-8773
ISBN: 978-1-5090-5739-9
pp: 220-229
Margaret Drouhard , University of Washington, United States of America
Nan-Chen Chen , University of Washington, United States of America
Jina Suh , University of Washington, United States of America
Rafal Kocielnik , University of Washington, United States of America
Vanessa Pena-Araya , University of Chile, Chile
Keting Cen , University of Washington, United States of America
Xiangyi Zheng , University of Washington, United States of America
Cecilia R. Aragon , University of Washington, United States of America
ABSTRACT
Qualitative coding offers the potential to obtain deep insights into social media, but the technique can be inconsistent and hard to scale. Researchers using qualitative coding impose structure on unstructured data through “codes” that represent categories for analysis. Our visual analytics interface, Aeonium, supports human insight in collaborative coding through visual overviews of codes assigned by multiple researchers and distributions of important keywords and codes. The underlying machine learning model highlights ambiguity and inconsistency. Our goal was not to reduce qualitative coding to a machine-solvable problem, but rather to bolster human understanding gained from coding and reinterpreting the data collaboratively. We conducted an experimental study with 39 participants who coded tweets using our interface. In addition to increased understanding of the topic, participants reported that Aeonium's collaborative coding functionality helped them reflect on their own interpretations. Feedback from participants demonstrates that visual analytics can help facilitate rich qualitative analysis and suggests design implications for future exploration.
INDEX TERMS
Encoding, Tools, Labeling, Collaboration, Visual analytics, Interviews
CITATION
Margaret Drouhard, Nan-Chen Chen, Jina Suh, Rafal Kocielnik, Vanessa Pena-Araya, Keting Cen, Xiangyi Zheng, Cecilia R. Aragon, "Aeonium: Visual analytics to support collaborative qualitative coding", 2017 IEEE Pacific Visualization Symposium (PacificVis), vol. 00, no. , pp. 220-229, 2017, doi:10.1109/PACIFICVIS.2017.8031598
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