Participatory Visualization with Wordle

By Fernanda B. Viégas, Martin Wattenberg, Jonathan Feinberg. IEEE Transactions on Visualization and Computer Graphics, 2009

462 citations recorded by the source corpus.

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TextFlow: Towards Better Understanding of Evolving Topics in Text (2011, methodology): “7(a)), which is also probably the most common method to show a collection of keywords to users in the field of information visualization [8, 26, 25].”
Context preserving dynamic word cloud visualization (2010, methodology): “Tag clouds have been used in a wide diversity of applications ranging from the analytical to the emotional [20, 21], even though tag clouds might be more difficult to navigate with than simple lists of words [10, 14] The tag cloud visualization can roughly be categorized into two groups: static tag ”
A Survey of Visual Analytics Techniques and Applications: State-of-the-Art Research and Future Challenges (2013, methodology): “Feature-based methods use various features such as word-level features([83]) and document-level features([82]) to visualize text.”
On Building Online Visualization Maps for News Data Streams by Means of Mathematical Optimization (2018, unknown): “44 The second criterion aims at spreading the circles across the visualization region to improve the aesthetics 30 and ensure the readability of the online visualization map.”
Personal Visualization and Personal Visual Analytics (2015, background): “(EvenWordle, a very simple word-cloud visualization, had enough personalization options to allow people to feel “creative” [82].”