Skip to content

shucoll/ClimaConvo

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 
 
 

Repository files navigation

ClimaConvo

This repository contains the data and code for our paper Analyzing the Dynamics of Climate Change Discourse on Twitter: A New Annotated Corpus and Multi-Aspect Classification published at LREC-COLING 2024.

Abstract

The discourse surrounding climate change on social media platforms has emerged as a significant avenue for understanding public sentiments, perspectives, and engagement with this critical global issue. The unavailability of publicly available datasets, coupled with ignoring the multi-aspect analysis of climate discourse on social media platforms, has underscored the necessity for further advancement in this area. To address this gap, in this paper, we present an extensive exploration of the intricate realm of climate change discourse on Twitter, leveraging a meticulously annotated ClimaConvo dataset comprising 15,309 tweets. Our annotations encompass a rich spectrum, including aspects like relevance, stance, hate speech, the direction of hate, and humor, offering a nuanced understanding of the discourse dynamics. We address the challenges inherent in dissecting online climate discussions and detail our comprehensive annotation methodology. In addition to annotations, we conduct benchmarking assessments across various algorithms for six tasks: relevance detection, stance detection, hate speech identification, direction and target, and humor analysis. This assessment enhances our grasp of sentiment fluctuations and linguistic subtleties within the discourse. Our analysis extends to exploratory data examination, unveiling tweet distribution patterns, stance prevalence, and hate speech trends. Employing sophisticated topic modeling techniques uncovers underlying thematic clusters, providing insights into the diverse narrative threads woven within the discourse. The findings present a valuable resource for researchers, policymakers, and communicators seeking to navigate the intricacies of climate change discussions. The dataset and resources to reproduce the experiments are available at https://github.com/shucoll/ClimaConvo.

Accessing the Tweets

Please refer to this link in the official Twitter API guide to get the tweet contents from the tweet IDs https://developer.twitter.com/en/docs/twitter-api/tweets/lookup/api-reference/get-tweets

Annotation terminology

Relevance

Class Terminology
Non-Relevant 0
Relevant 1

Stance

Class Terminology
Support 1
Denial 2
Neutral 3

Humor

Class Terminology
No-Humor 0
Humor 1

Hate

Class Terminology
No-Hate 0
Hate 1

Direction of Hate Speech

Class Terminology
Undirected 0
Directed 1

Targets of Hate Speech

Class Terminology
Individual 1
Organization 2
Community 3

Citation

@inproceedings{shiwakoti2024analyzing,
  title={Analyzing the dynamics of climate change discourse on twitter: A new annotated corpus and multi-aspect classification},
  author={Shiwakoti, Shuvam and Thapa, Surendrabikram and Rauniyar, Kritesh and Shah, Akshyat and Bhandari, Aashish and Naseem, Usman},
  booktitle={Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)},
  pages={984--994},
  year={2024}
}

About

Climate change annotated Twitter dataset

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published