TASSY - A Text Annotation Survey System. Spinde, T., Sinha, K., Meuschke, N., & Gipp, B. In Proceedings of the ACM/IEEE Joint Conference on Digital Libraries (JCDL), Virtual Event, September, 2021.
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We present a free and open-source tool for creating web-based surveys that include text annotation tasks. Existing tools offer either text annotation or survey functionality but not both. Combining the two input types is particularly relevant for investigating a reader’s perception of a text which also de-pends on the reader’s background, such as age, gender, and education. Our tool caters primarily to the needs of research-ers in the Library and Information Sciences, the Social Scienc-es, and the Humanities who apply Content Analysis to investi-gate, e.g., media bias, political communication, or fake news.

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