[Paper] | [Book of Abstracts] | [Best Presentation Award] | [Conference video]
Repository related to our extended abstract paper "Sockpuppet Detection: a Telegram case study" presented at COMPLEX NETWORKS 2020 conference, thanks to which we won the best presentation award. It contains, up to now, the script that let you scrape multiple telegram groups and create a network from it.
In Online Social Networks (OSN) numerous are the cases in which users create multiple accounts that publicly seem to belong to different people but are actually fake identities of the same person. These fictitious characters can be exploited to carry out abusive behaviors such as manipulating opinions, spreading fake news and disturbing other users. In literature this problem is known as the ”Sockpuppet problem”. In our work we focus on Telegram, a wide-spread instant messaging application, often known for its exploitation by members of organized crime and terrorism, and more in general for its high presence of people who have offensive behaviors.
If this work (or any code present) is helpful, please cite as:
G. Pisciotta, M. Somenzi, E. Barisani, and G. Rossetti, “Sockpuppet Detection: A Telegram case study,” in The 9th International Conferenceon Complex Networks and Their Applications - Book of Abstracts., 2021, pp. 322–324, isbn: 978-2-9557050-4-9. doi: 10.5281/zenodo.4744934.
or with BibTex:
@inproceedings{telegramsockpuppet2021,
title={{S}ockpuppet {D}etection: a {T}elegram case study},
author={Pisciotta, Gabriele and Somenzi, Miriana and Barisani, Elisa and Rossetti, Giulio},
booktitle={The 9th International Conference on Complex Networks and Their Applications - Book of Abstracts.},
doi={10.5281/zenodo.4744934},
isbn={978-2-9557050-4-9},
pages={322--324},
year={2021}
}
| Author | e-mail address |
|---|---|
| Gabriele Pisciotta | ga.pisciotta@gmail.com |
| Miriana Somenzi | m.somenzi@studenti.unipi.it |
| Elisa Barisani | e.barisani@studenti.unipi.it |
| Giulio Rossetti | giulio.rossetti@isti.cnr.it |