https://github.com/labackdoor/secure-crowdsourcing

This repo supports the paper "Leveraging Secure Social Media Crowdsourcing for Gathering Firsthand Accounts in Conflict Zones." We collected 250,000 Telegram messages on the Russo-Ukrainian conflict and developed a framework to identify contextual groupings, revealing 477 new insights from 13 news sources.
https://github.com/labackdoor/secure-crowdsourcing

asonam-2024 computational-social-science conflict-analysis crowdsourcing data-collection natural-language-processing nlp osint social-media social-media-analysis telegram text-analysis

Last synced: 10 months ago
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This repo supports the paper "Leveraging Secure Social Media Crowdsourcing for Gathering Firsthand Accounts in Conflict Zones." We collected 250,000 Telegram messages on the Russo-Ukrainian conflict and developed a framework to identify contextual groupings, revealing 477 new insights from 13 news sources.

• Host: GitHub
• URL: https://github.com/labackdoor/secure-crowdsourcing
• Owner: LaBackDoor
• License: mit
• Created: 2024-07-19T15:00:08.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2025-09-01T01:35:21.000Z (10 months ago)
• Last Synced: 2025-09-01T03:40:04.261Z (10 months ago)
• Topics: asonam-2024, computational-social-science, conflict-analysis, crowdsourcing, data-collection, natural-language-processing, nlp, osint, social-media, social-media-analysis, telegram, text-analysis
• Language: Python
• Homepage: https://labackdoor.github.io/lab-website/
• Size: 1.39 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# ASONAM2024-Secure-Crowdsourcing

This repo supports the paper "Leveraging Secure Social Media Crowdsourcing for Gathering Firsthand Accounts in Conflict Zones." We collected 250,000 Telegram messages on the Russo-Ukrainian conflict and developed a framework to identify contextual groupings, revealing 477 new insights from 13 news sources.

## Citation

If you find this work useful in your research, please feel free to cite our paper. 📜

***

### Plain Text

A. Orojo, P. Bhagat, J. Wilburn, M. Donahoo, and N. Vishwamitra. (2024). "Leveraging Secure Social Media Crowdsourcing for Gathering Firsthand Accounts in Conflict Zones." *2024 IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM)*.

***

### BibTeX

```bibtex

@inproceedings{orojo2024leveraging,

  author={Orojo, A. and Bhagat, P. and Wilburn, J. and Donahoo, M. and Vishwamitra, N.},

  booktitle={2024 IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM)}, 

  title={Leveraging Secure Social Media Crowdsourcing for Gathering Firsthand Accounts in Conflict Zones}, 

  year={2024}

}