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Cashtag Piggybacking dataset - Twitter dataset enriched with financial data

<p>This dataset is composed of&nbsp;</p> <ul> <li>Twitter dataset of ~9M tweets mentioning stocks (cashtags) traded on the most important US markets,&nbsp;shared&nbsp;between May and September 2017 (users data enriched with bot classification label)</li> <li>Financial information about&nbsp;~30k companies found in those tweets,&nbsp;retrieved from Google Finance</li> </ul> <p>Refer to the paper below for more details.</p> <p>Cresci, S., Lillo, F., Regoli, D., Tardelli, S., &amp; Tesconi, M. (2019). Cashtag Piggybacking: Uncovering Spam and Bot Activity in Stock Microblogs on Twitter.&nbsp;<em>ACM Transactions on the Web (TWEB)</em>,&nbsp;<em>13</em>(2), 11.</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0

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