CLDec 14, 2021

TASSY -- A Text Annotation Survey System

arXiv:2112.07391v216 citationsHas Code
Originality Synthesis-oriented
AI Analysis

This tool addresses a specific need for researchers in fields like Library and Information Sciences, Social Sciences, and Humanities who conduct content analysis, but it is incremental as it builds on existing separate tools.

The authors tackled the lack of integrated tools for text annotation and surveys by developing TASSY, a free and open-source web-based system that combines both functionalities, enabling researchers to collect annotated text data alongside demographic information.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes