This repository contains the data and classifier used in the paper titled "Winds of Change: Impact of COVID-19 on Vaccine-related Opinions of Twitter users" accepted at the International Conference on Web and Social Media (AAAI ICWSM) 2022.
A preprint of the paper is available on Arxiv, and in this repository too.
There are two directories as listed below. Details of each are given in the README files in the corresponding directories.
- /dataset -- consisting of a collection of tweets with crowdsourced labels of their stance towards COVID-19 vaccines.
- /classifier -- consisting of codes to run our classifier to predict the vaccine-stances of a set of tweets (or any text)
For queries or issues feel free to contact me at: Email ID
If you use either our dataset or classifier, please cite the following paper:
@inproceedings{poddar2022windsofchange,
title={Winds of Change: Impact of COVID-19 on Vaccine-related Opinions of Twitter users},
author={Poddar, Soham and Mondal, Mainack and Misra, Janardan and Ganguly, Niloy and Ghosh, Saptarshi},
booktitle={Proceedings of the Sixteenth International AAAI Conference on Web and Social Media (ICWSM'22)},
year={2022}
}
We have also given the data provided by Cotfas et.al. in the /dataset directory (details given in the the README inside this directory). If you use their dataset, please cite their paper:
@article{cotfas2021longest,
title={The Longest Month: Analyzing COVID-19 Vaccination Opinions Dynamics from Tweets in the Month following the First Vaccine Announcement},
author={Cotfas, Liviu-Adrian and Delcea, Camelia and Roxin, Ioan and Ioan{\u{a}}{\c{s}}, Corina and Gherai, Dana Simona and Tajariol, Federico},
journal={IEEE Access},
volume={9},
pages={33203--33223},
year={2021},
publisher={IEEE}
}