This repository contains codes (Jupyter Notebooks) to reproduce the figures and results of our submission (https://dl.acm.org/doi/pdf/10.1145/3530190.3534812) accepted in COMPASS 2022. Each folder represents a section in the paper.
- Section Overview
| Section | Title | Decription |
|---|---|---|
| 3 | Dataset | We are making the News-articles-dataset public. (Note: PM25 data is publicly available in CPCB portal and OpenAQ website.) |
| 5.1 | Research-Question-1 | Does the news media coverage around air pollution exhibit a geographical and/or temporal bias? |
| 5.2 | Research-Question-2 | Does the news media coverage around air pollution exhibit deviation from scientific evidence around sources and impact of air pollution? |
- Tables/Figures
| Figure/Table | File/Folder | Decription |
|---|---|---|
| Figure 1 | dataset/Figure-1_Number-of-cities-for-pm25-data-available.ipynb | To plot number of cities along with time for which PM25 data is available. |
| Figure 2 | dataset/Figure-2_TOI-vs-Hindu-articles_over_time.ipynb | To plot articles of TOI and The Hindu over time (2010-21). |
| Figure 3 | Research_Question_1/Figure-3_Choropleth_map_PM25_and_articles.ipynb | Python Notebook to generate Choropleth map of India showing PM2.5 level and number of news articles |
| Figure 4 | Research_Question_1/Figure-4_Violation_of_India_limit_by_IGP.ipynb | Time series of PM2.5 level and Number of articles for Delhi |
| Figure 5 | Research_Question_1/Figure-5_timeseries_of_aq_articles_delhi.ipynb | Time series of PM2.5 level and Number of articles for Delhi |
| Table 3 | Research_Question_1/Table-3,4_pollution-in-IG-Plain_and_Delhi-time-series.ipynb | PM2.5 and articles of Cities of Indo Gangetic (IG) plain |
| Table 4 | Research_Question_1/Table-3,4_pollution-in-IG-Plain_and_Delhi-time-series.ipynb | PM2.5 and articles of 10 most highlighted cities in News-media |
| Figure 6 | Research_Question_2/Figure-6_Topic-Modeling-tarining-LDA-model.ipynb | Train LDA Topic modeling model using gensim and create visualization LDA_topic_modelling_Visualization.html using pyLDAvis. |
| Figure 7 | Research_Question_2/Figure-7_Topic-evolution-over-time.ipynb | Frequency of articles of topic over time |
| Figure 8 | Research_Question_2/Figure-8_Open-fire-vs-Stubble-burning-articles.ipynb | Timeseries of NASA Open Fire cout data (VIIRS) firedata to identify when stubble burning is happening and compare firecount |
| Figure 9 | Research_Question_2/Figure-9_Source-contribution-Delhi.ipynb | Comparison of Sources contribution to PM2.5 in Delhi and articles relavent to particular sources, to verify if media discussion is in consonance with source contribution. |
- Citation
@inproceedings{patel2022samachar,
title={Samachar: print news media on air pollution in India},
author={Patel, Karm and Adhikary, Rishiraj and Patel, Zeel B and Batra, Nipun and Guttikunda, Sarath},
booktitle={ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies (COMPASS)},
pages={401--413},
year={2022}
}