TASSY -- A Text Annotation Survey System
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Abstract (arXiv)
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.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 1 of its 8 references that are in the map. First posted on arXiv 14 Dec 2021.
Builds on
1 of 8 references.
References · 1
Built on by
Citing papers per year: 2021: 1; 2022: 2; 2023: 1; 2024: 1.
5 papers.
- 2023Introducing MBIB -- the first Media Bias Identification Benchmark Task and Dataset Collectioncited by 18
- 2022A Domain-adaptive Pre-training Approach for Language Bias Detection in Newscited by 16
- 2022Exploiting Transformer-based Multitask Learning for the Detection of Media Bias in News Articlescited by 11
- 2024The FIGNEWS Shared Task on News Media Narrativescited by 7
- 2021An Interdisciplinary Approach for the Automated Detection and Visualization of Media Bias in News Articlescited by 6
- 2024The FIGNEWS Shared Task on News Media Narratives25 Jul 2024
- 2023Introducing MBIB -- the first Media Bias Identification Benchmark Task and Dataset Collection25 Apr 2023
- 2022Exploiting Transformer-based Multitask Learning for the Detection of Media Bias in News Articles7 Nov 2022
- 2022A Domain-adaptive Pre-training Approach for Language Bias Detection in News22 May 2022
- 2021An Interdisciplinary Approach for the Automated Detection and Visualization of Media Bias in News Articles26 Dec 2021