---
license: gpl-3.0
---

The model aims to assess the moral dimension of Twitter posts in Italian about immigration.
Namely, limited to the immigration subject, the model is capable to classify tweets according to the expression of both moral dyads:

* 0: care/harm
* 1: fairness/cheating
* 2: loyalty/betrayal
* 3: authority/subversion
* 4: purity/degradation
* 5: no moral

and <b>concern focuses</b>, i.e, one of
* 0: prescriptive (if it highlights a virtue)
* 1: prohibitive (if it blames a misbehaviour)
* 2: no focus

The model was built as part of the European project [VALAWAI](www.valawai.eu).

<strong>Citation info and BibTeX entry</strong></br>

```bibtex
@inproceedings{Bru2023,
  title={Moral values in social media for disinformation and hate speech analysis},
  author={Brugnoli, Emanuele and Gravino, Pietro and Prevedello, Giulio},
  booktitle={{VALE} workshop at {ECAI}, (accepted)},
  year={2023}
}
```