TASSY -- A Text Annotation Survey System

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.