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Online Cryptocurrency-topic diffusion on Twitter, Telegram, and Discord - dataset


Released by Institute of Informatics and Telematics of
Italian National Research Council (CNR), Italy, and
Information Sciences Institute, University of Southern California (USC), U.S.A.

The authors gratefully acknowledge support by the Air Force Office of Scientific Research (AFOSR award #FA9550-17-1-0327), and by the Defense Advanced Research Projects Agency (DARPA contract #W911NF-17-C-0094, and grant #D16AP00115).

Citation:

"Charting the Landscape of Online Cryptocurrency Manipulation.",
Nizzoli, L., Tardelli, S., Avvenuti, M., Cresci, S., Tesconi, M. & Ferrara, E.
IEEE Access (2020).


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DATASET

This dataset is composed of:

- ~16M tweet ids mentioning at least one of the 3,822 cryptocurrencies (cashtags) provided by the CryptoCompare public API, shared between March and May 2019;
- ~13k nodes of the invite-link network, that is, the information about the Telegram/Discord channels and Twitter users involved in the cryptocurrency discussion. In particular, a node can be a Telegram channel, a Discord channel, or a Twitter user. We provide the following information:
	- id: id of the channel/user;
	- name: name of the channel. We do not provide the name of the users;
	- audience: number of members of the channel/number of followers of the Twitter user;
	- url: invite URL of the channels from which one can retrieve the content of the channels through the public APIs. Twitter users do not have an url.

- ~62k edges of the invite-link network, that is, the information about the flow of invites:
	- source id: the id of the node that promoted a channel through an invite URL;
	- target id: the channel the source promoted;
	- weight: No. of times the source promoted the target.

With such information, one can easily retrieve the content of channels and messages through Twitter, Telegram, and Discord public APIs.

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LIABILITY DISCLAIMER

The information included in the files stored in this archive are
released FOR RESEARCH PURPOSES ONLY. Any improper use or abuse of the
released data can be prosecuted in accordance with the laws in
force. Any redistribution without this disclaimer can be considered
for prosecution in accordance with the laws in force.

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