**Paper: https://dl.acm.org/doi/abs/10.1145/3449170 . To appear in the The 24th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW).
This repository contains codes to reproduce the figures and results. Each folder represents a section in the paper.
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Dataset: Represents Section 3 of the paper. We are making the dataset public
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Research-Question-1 : Represents Section 5.1 (Sentiment Analysis) of the paper. The subdirectory contains further details.
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Research-Question-2 : Represents Section 5.2 (Granger Causality) of the paper.
figure-11.ipynb: Python Notebook to generate Figure 11.figure-12-granger-causality-stationarity-test.ipynb: Code to test stationarity of time-series.figure-12-granger-causality-test.ipynb: Code to generate Figure 12.figure-13.ipynb: Code to genrate Figure 13.
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Evaluate-topic-model: Represents Section 5.3 (Topic Model) of the paper.
figure-14.html: Topic model visualisation. Topics are represented as numbers.figure-15-topic-eval-over-time.ipynb: Details the complete topic modelling analysis before settling for Figure 15 in the paper.figure-16-coherence-score.ipynb: Shows multiple analysis and multiple coherence plot, including the one shown in Figure 16.topic-modeling-df.py: Python code to run LDA, save the visualisation as an HTML file and store the word compositions of each topic.
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Research-Question-3: Represents Section 5.4 (Power Law) of the paper.
figure-17-power-tail.ipynb: Code to generate Figure 17.
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For citation purposes, please use the following Bib.
@article{adhikary2021vartalaap, title={Vartalaap: what drives\# airquality discussions: politics, pollution or pseudo-science?}, author={Adhikary, Rishiraj and Patel, Zeel B and Srivastava, Tanmay and Batra, Nipun and Singh, Mayank and Bhatia, Udit and Guttikunda, Sarath}, journal={Proceedings of the ACM on Human-Computer Interaction}, volume={5}, number={CSCW1}, pages={1--29}, year={2021}, publisher={ACM New York, NY, USA} }