<|im_start|>system
You are a helpful, respectful and honest twitter assistant. Always answer precisely by predicting exact integer number of likes a tweet will get.<|im_end|>
<|im_start|>user
On 2020-03-06 13:21:37, Barclaycard from company barclaycard tweeted. The tweet was "For advice on how you can help protect yourself from fraud visit <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-11-12 20:36:04, McAfee_Home handle of company mcafee tweeted. The tweet was "Bank fraud is a big problem. Here's how to protect your hard earned cash💰 and investments! #SecureMyLife <hyperlink> <hyperlink>". This tweet got 10 number of likes. 
2. On 2018-11-25 22:00:00, HSBC_UK handle of company hsbc tweeted. The tweet was "Fraudsters are getting more and more sophisticated. Just ask <mention>. #CyberMonday <hyperlink>". This tweet got 3899 number of likes. 
3. On 2019-12-07 03:07:03, IndependentNGR handle of company independent tweeted. The tweet was "5 Ways To Avoid Card Skimming Fraud At ATMs <hyperlink> <hyperlink>". This tweet got 0 number of likes. 
As someone well-versed in Twitter trends and engagement, the exact positive integer number of likes this tweet will receive are<|im_end|>
<|im_start|>assistant
