Prop-HiT

Prop-HiT Dataset Version 1.0

Version 1.0: November 18, 2023

About

Prop-HiT is a Propaganda Dataset for Hindi Text. The Prop-HiT dataset includes 790 articles from 32 Hindi news websites. The dataset is manually annotated using the LightTag annotation tool considering 18 propaganda techniques as follows:

1. Appeal to authority

2. Appeal to fear/prejudice

3. Bandwagon

4. Black-and-white fallacy

5. Causal oversimplification

6. Doubt

7. Exaggeration/minimization

8. Flag-waving

9. Loaded Language

10. Name Calling or Labelling

11. Obfuscation, intentional vagueness, confusion

12. Red herring

13. Reductio ad Hitlerum

14. Repetition

15. Slogans

16. Straw man

17. Thought-terminating cliche

18. Whataboutism

Data format

The dataset consists of one plain text and one tab-separated file per article. The text file contains the contents of the article. The tsv file contains one propaganda technique per line with the following information: article_id, technique, begin_offset, and end_offset

The naming convention for the files is as follows:

- article[unique_id].txt for the plain-text file  

- article[unique_id].labels.tsv for the annotations files  

There are two subfolders as train with 550 articles and test with 240 articles.

Credit

Please cite the dataset as:

[Prop-HiT] Deptii Chaudhari, Dr. Ambika Pawar. 2023. Prop-HiT: Propaganda Dataset for Hindi Text. https://doi.org/10.5281/zenodo.10155424  

Authors

Deptii Chaudhari; Dr. Ambika Pawar