@inproceedings{SpindeSMG21,
  title = {TASSY - A Text Annotation Survey System},
  booktitle = {Proceedings of the ACM/IEEE Joint Conference on Digital Libraries (JCDL)},
  author = {Spinde, Timo and Sinha, Kanishka and Meuschke, Norman and Gipp, Bela},
  year = 2021,
  month = sep,
  address = {Virtual Event},
  url = {paper=https://gipplab.uni-goettingen.de/wp-content/papercite-data/pdf/spinde2021c.pdf code=http://tassy.gipplab.org demo=http://tassy-demo.gipplab.org},
  abstract = {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.},
  keywords = {!nm\_author},
  file = {D:\Zotero\nmeuschke\Data\storage\KEBX9CYL\SpindeSMG21--NM--tassy_-_a_text_annotation_survey_system.pdf}
}

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