Analysis of Nuanced Stances and Sentiment Towards Entities of US Politicians through the Lens of Moral Foundation Theory.
Shamik Roy,Dan Goldwasser +1 more
- pp 1-13
Reads0
Chats0
TLDR
The Moral Foundation Theory is studied in tweets by US politicians on two politically divisive issues - Gun Control and Immigration to show there is a strong correlation between the moral foundation usage and the politicians’ nuanced stance on a particular topic.Abstract:
The Moral Foundation Theory suggests five moral foundations that can capture the view of a user on a particular issue. It is widely used to identify sentence-level sentiment. In this paper, we study the Moral Foundation Theory in tweets by US politicians on two politically divisive issues - Gun Control and Immigration. We define the nuanced stance of politicians on these two topics by the grades given by related organizations to the politicians. First, we identify moral foundations in tweets from a huge corpus using deep relational learning. Then, qualitative and quantitative evaluations using the corpus show that there is a strong correlation between the moral foundation usage and the politicians’ nuanced stance on a particular topic. We also found substantial differences in moral foundation usage by different political parties when they address different entities. All of these results indicate the need for more intense research in this area.read more
Citations
More filters
Posted Content
Identifying Morality Frames in Political Tweets using Relational Learning
TL;DR: In this article, the authors introduce a representation framework for organizing moral attitudes directed at different entities, and propose a relational learning model to predict moral attitudes towards entities and moral foundations jointly.
Proceedings ArticleDOI
Uncovering Values: Detecting Latent Moral Content from Natural Language with Explainable and Non-Trained Methods
TL;DR: This work develops and compares two different approaches: a frame-based symbolic value detector based on knowledge graphs and a zero-shot machine learning model fine-tuned on a task of Natural Language Inference (NLI) and atask of emotion detection.
Journal ArticleDOI
A Data Fusion Framework for Multi-Domain Morality Learning
TL;DR: This article used domain adversarial training to align the datasets in feature space and a weighted loss function to deal with label shift, which achieved state-of-the-art performance in different datasets compared to prior works.
Journal ArticleDOI
Text- and author-dependent moral foundations classification
TL;DR: This work addresses the issue of moral foundations inference from text data according to two perspectives, hereby called text- and author-dependent classification, by presenting a number of experiments to compare traditional text classifiers with more recent approaches based on pre-trained language models in both English and Portuguese languages.
Proceedings ArticleDOI
Learning to Adapt Domain Shifts of Moral Values via Instance Weighting
TL;DR: This is the first study to quantify impacts of moral shifts, propose adaptive framework to model the shifts, and conduct a case study to model COVID-19 vaccine-related behaviors from moral values.
References
More filters
Journal ArticleDOI
Long short-term memory
TL;DR: A novel, efficient, gradient based method called long short-term memory (LSTM) is introduced, which can learn to bridge minimal time lags in excess of 1000 discrete-time steps by enforcing constant error flow through constant error carousels within special units.
Proceedings ArticleDOI
Glove: Global Vectors for Word Representation
TL;DR: A new global logbilinear regression model that combines the advantages of the two major model families in the literature: global matrix factorization and local context window methods and produces a vector space with meaningful substructure.
Proceedings ArticleDOI
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
TL;DR: BERT as mentioned in this paper pre-trains deep bidirectional representations from unlabeled text by jointly conditioning on both left and right context in all layers, which can be fine-tuned with just one additional output layer to create state-of-the-art models for a wide range of tasks.
Journal ArticleDOI
The emotional dog and its rational tail: a social intuitionist approach to moral judgment.
TL;DR: The author gives 4 reasons for considering the hypothesis that moral reasoning does not cause moral judgment; rather, moral reasoning is usually a post hoc construction, generated after a judgment has been reached.
Journal ArticleDOI
Word association norms, mutual information, and lexicography
Kenneth Church,Patrick Hanks +1 more
TL;DR: The proposed measure, the association ratio, estimates word association norms directly from computer readable corpora, making it possible to estimate norms for tens of thousands of words.
Related Papers (5)
Moral Rhetoric in Twitter: A Case Study of the U.S. Federal Shutdown of 2013
Eyal Sagi,Morteza Dehghani +1 more