Please read the topic category description 1 to understand what this is all about


Description
The goal of this project is to automatically identify toxic speech emitted by politicians on Twitter. It is focused on Spain which is an interesting multilingual case with several co-official languages which are used interchangeably in politics.

Model(s)
Multilingual models like xlm-roberta-base.

Datasets


tweet_eval  1 is a related resource, but it is English-only.


Challenges

Getting high-quality data in Spanish and/or integrating data in other languages.


Desired project outcomes

Create a Streamlit or Gradio app on  Spaces that is able to detect toxicity from tweets.


Discord channel
To chat and organise with other people interested in this project, head over to our Discord and:


Follow the instructions on the #join-course channel


Join the #toxic-tweets-es channel


Just make sure you comment here to indicate that you’ll be contributing to this project