zpwiki/pages/topics/hatespeech/README.md

---
title: Hate Speech
category: [project]
tag: [hatespeech,nlp,nlm]
---

# Hate Speech Scientific Project

Goal:

- To be able to recognize parts of text that contains hate or vulgarisms.

Possible applications:

- Management of discussion forums / detection of spam or abuse.
- "Postprocessing" for biased generative language models - preventing to generate inapropriate responses.

Plan:

- Perform a review of the state-of-the-art
- Pick established (english) corpora
- Formalize the problem - classification of sentiment, recognition of topic, keyword selection, 
- Propose a preliminary system, repeat existing approach.
- Create small evaluation set in Slovak
- Try multilingual/crosslingual approach. Possibility of machine translation.
- Annotate a bigger Slovak Corpus
- Recognize  and publish scientific contribution

Futire Tasks:

- Evaluate existing multilingual model. E.G. https://huggingface.co/Andrazp/multilingual-hate-speech-robacofi
- Translate existing English dataset into Slovak. Use OPUS English Slovak Marian NMT model. Train Slovak munolingual model. 
- Annotate a Twitter Dataset. Possible guidelines are: https://developers.perspectiveapi.com/s/about-the-api-training-data?language=en_US

In progress tasks:

- Annotate a Facebook Dataset. Use some other guidelines. e.g. sentence-level annotation, for context sensitive hate.
- Prepare existing Slovak Twitter dataaset, train evaluate a model. 

Finished tasks:

- Perform preliminary experiments with HS detection (Bulburu)
- Prepare an anotation infrastructure for Facebook data annotation (Ferko)
- Gather Facebook data and prepare for annotation. (Ferko)

People:


- Ján Staš
- Daniel Hládek
- Zuzana Sokolová
- [Vladimír Ferko](/students/2021/vladimir_ferko)
- [Sevval Bulburu](/interns/sevval_bulburu)

Former participants:

- [Manohar Gowdru Shridharu](/students/2021/manohar_gowdru_shridharu)


Links:


- https://europeanonlinehatelab.com/
- https://hatespeechdata.com/
- https://oznacuj-dezinfo.kinit.sk/