Topic dataset collection

[evgenydmitriev]

The goal of this challenge is to collect a minimum of 200 tweets related to crypto custodians and at least one of the topics below.

Topic	Sentiment	Notes
hacker attacks	negative	DDoS, hacks, stolen funds, etc. - anything that relates to hacker attacks and security breaches at crypto custodians. See examples of the hacker attacks and attack-related tweets.
law enforcement	negative	anything that relates to law enforcement regarding projects in crypto, or their employees/board (custodians, tokens, protocols, etc): potential litigation, enforcement actions, court proceedings, etc. See examples of the law enforcement-related tweets
uptime problems	negative	Anything that would affect crypto custodian availability: downtime of any sort, matching orders engine issues, freezing website, API lags, planned and unplanned maintenance, service outages, etc. See examples of the uptime-related tweets
withdrawal issues	negative	Anything that prevents/slows transfers of the money out/in: withdrawals/deposits aren't possible, the fees aren't matching, the balance isn't updated, frozen wallets, prolonged system downtime and verification process, etc. See examples of the withdrawal-related tweets.
fraud	negative	Anything that implies illegal activity happening at crypto custodians: exit scams, pump-and-dump schemes, front running, wash trading, etc. See examples of the fraud-related tweets.

Submission

To participate, submit a pull request adding at least 200 tweets related to crypto custodians to at least one of the topic datasets and request a review from this issue assignee. Expanding the pull request description with your methodology can help us better understand your reasoning and evaluate your submission faster.

💡Hints

• To avoid bias, do not Twitter-search for the topic-related keywords, such as “attack”, "withdrawal", "police", "fraud", "etc".
• Find the dates of relevant events through Google News. This will help you narrow down your Twitter search later on.
• Use topic modeling and sentiment analysis tools to filter out the most relevant tweets.

[NormalizedMG]

@evgenydmitriev challenge completed - please provide feedback

[teshst]

@evgenydmitriev challenge completed - please provide feedback

[marianna13]

Done.