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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.

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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

@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}
}

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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.

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