configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: user_id
dtype: int64
- name: first_pair_label
dtype: string
- name: reply_label
dtype: string
- name: first_pair_moral_focus
dtype: string
- name: reply_moral_focus
dtype: string
- name: conversational_relation
dtype: string
- name: first_pair_id
dtype: int64
- name: reply_id
dtype: int64
- name: annotator_id
dtype: string
splits:
- name: train
num_bytes: 273765
num_examples: 2437
download_size: 37466
dataset_size: 273765
language:
- it
pretty_name: mo
Dataset Card for "moralConvITA"
The Expression of Moral Values in the Twitter Debate: a Corpus of Conversations
Following the (former) Twitter policies we do not release texts but Twitter ids. If you need them, please write to Marco Antonio Stranisci
Abstract
The present work introduces MoralConvITA, the first Italian corpus of conversations on Twitter about immigration whose annotation is focused on how moral beliefs shape users interactions.The corpus currently consists of a set of 1,724 tweets organized in adjacency pairs and annotated by referring to a pluralistic social psychology theory about moral values, i.e. the Moral Foundations Theory (MFT). According to the MFT, different configurations of moral values determines the stance of individuals on sensitive topics, such as immigration, civil rights, and gender equality. Moreover, an annotation of adjacency pairs’ conversational dynamics is provided.Results of the analysis we applied on MoralConvITA shows that interesting patterns occur in the corpus, emerging from the intersection of moral studies and pragmatics that need to be generalized over larger corpora, and shedding some light on a novel promising perspective on the inter-user dynamics occurring in social media.
How to cite this research
@article{stranisci2021expression,
title={The expression of moral values in the twitter debate: a corpus of conversations},
author={Stranisci, Marco and De Leonardis, Michele and Bosco, Cristina and Patti, Viviana},
journal={IJCoL. Italian Journal of Computational Linguistics},
volume={7},
number={7-1, 2},
pages={113--132},
year={2021},
publisher={Accademia University Press}
}\