NewsPanda: Media Monitoring for Timely Conservation Action

April 30, 2023 ยท Entered Twilight ยท ๐Ÿ› AAAI Conference on Artificial Intelligence

๐Ÿ’ค TWILIGHT: Eternal Rest
Repo abandoned since publication

Repo contents: .gitignore, LICENSE, README.md, model, parivesh-files, pipeline.sh, pipeline_world.sh, reference-files, requirements.txt, src, weekly-news

Authors Sedrick Scott Keh, Zheyuan Ryan Shi, David J. Patterson, Nirmal Bhagabati, Karun Dewan, Areendran Gopala, Pablo Izquierdo, Debojyoti Mallick, Ambika Sharma, Pooja Shrestha, Fei Fang arXiv ID 2305.01503 Category cs.IR: Information Retrieval Cross-listed cs.CL, cs.CY Citations 7 Venue AAAI Conference on Artificial Intelligence Repository https://github.com/NewsPanda-WWF-CMU/weekly-pipeline โญ 2 Last Checked 1 month ago
Abstract
Non-governmental organizations for environmental conservation have a significant interest in monitoring conservation-related media and getting timely updates about infrastructure construction projects as they may cause massive impact to key conservation areas. Such monitoring, however, is difficult and time-consuming. We introduce NewsPanda, a toolkit which automatically detects and analyzes online articles related to environmental conservation and infrastructure construction. We fine-tune a BERT-based model using active learning methods and noise correction algorithms to identify articles that are relevant to conservation and infrastructure construction. For the identified articles, we perform further analysis, extracting keywords and finding potentially related sources. NewsPanda has been successfully deployed by the World Wide Fund for Nature teams in the UK, India, and Nepal since February 2022. It currently monitors over 80,000 websites and 1,074 conservation sites across India and Nepal, saving more than 30 hours of human efforts weekly. We have now scaled it up to cover 60,000 conservation sites globally.
Community shame:
Not yet rated
Community Contributions

Found the code? Know the venue? Think something is wrong? Let us know!

๐Ÿ“œ Similar Papers

In the same crypt โ€” Information Retrieval