Document - Sockpuppet detection: a Telegram case study

2021

Contribution to conference Open Access

Sockpuppet detection: a Telegram case study

Pisciotta G., Somenzi M., Barisani E., Rossetti G.

Sockpuppet Network science

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.

Source: Complex Networks 2020 - The 9th International Conference on Complex Networks and their Applications, Online conference, 1-3/12/2020

Back to previous page

Cite as

BibTeX entry

@inproceedings{oai:it.cnr:prodotti:456616,
	title = {Sockpuppet detection: a Telegram case study},
	author = {Pisciotta G. and Somenzi M. and Barisani E. and Rossetti G.},
	booktitle = {Complex Networks 2020 - The 9th International Conference on Complex Networks and their Applications, Online conference, 1-3/12/2020},
	year = {2021}
}