TASSY -- A Text Annotation Survey System
Timo Spinde, Kanishka Sinha, Norman Meuschke, Bela Gipp

TL;DR
TASSY is an open-source web-based survey system that integrates text annotation capabilities, enabling researchers to study reader perceptions influenced by background factors like age, gender, and education.
Contribution
It introduces a novel tool combining survey and text annotation functionalities, tailored for social sciences and humanities research on media and communication.
Findings
Supports diverse research needs in media bias and political communication
Facilitates analysis of reader perception influenced by background variables
Provides an accessible, open-source platform for interdisciplinary research
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 depends on the reader's background, such as age, gender, and education. Our tool caters primarily to the needs of researchers in the Library and Information Sciences, the Social Sciences, and the Humanities who apply Content Analysis to investigate, e.g., media bias, political communication, or fake news.
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Taxonomy
TopicsSurvey Methodology and Nonresponse · Computational and Text Analysis Methods · Social Media and Politics
