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Cashtag Piggybacking dataset – Twitter dataset enriched with financial data
This dataset is composed of Twitter dataset of ~9M tweets mentioning stocks (cashtags) traded on the most important US markets, shared between May and September 2017 (users data enriched with bot classification label) Financial information about ~30k
File Size919.9 MB
Data TypeDataset
Published2019
Licensecc-by-4.0
Total Views2,965
Total Downloads3,123
This dataset is composed of
- Twitter dataset of ~9M tweets mentioning stocks (cashtags) traded on the most important US markets, shared between May and September 2017 (users data enriched with bot classification label)
- Financial information about ~30k companies found in those tweets, retrieved from Google Finance
Refer to the paper below for more details.
Cresci, S., Lillo, F., Regoli, D., Tardelli, S., & Tesconi, M. (2019). Cashtag Piggybacking: Uncovering Spam and Bot Activity in Stock Microblogs on Twitter. ACM Transactions on the Web (TWEB), 13(2), 11.
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Files are hosted on the source repository. Click download to access the full dataset.
Cresci, Stefano (2019). Cashtag Piggybacking dataset – Twitter dataset enriched with financial data. https://doi.org/10.5281/zenodo.2686862