<|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 2019-11-30 14:00:52, IBMNews from company ibm tweeted. The tweet was "Online shopping can be especially risky during the holidays. Protect yourself with these simple tips from <mention>. Watch ⬇️ #ComputerSecurityDay #CyberSecurity <hyperlink>". The most similar tweets were, 
1. On 2020-11-27 23:21:04, McAfee handle of company mcafee tweeted. The tweet was "With the holiday shopping season🛒 going into high gear, remember that cybercriminals might try posing as Amazon to steal your data. Learn what to look out for and how you can shop safely this holiday. #SecureMyLife  <hyperlink> <hyperlink>". This tweet got 3 number of likes. 
2. On 2018-11-22 21:00:01, TalosSecurity handle of company cisco tweeted. The tweet was "#BlackFriday comes later today and tomorrow to kick off the holiday shopping season. Here's what you should know to stay safe when shopping online today and on #CyberMonday <hyperlink> <hyperlink>". This tweet got 4 number of likes. 
3. On 2018-11-23 17:03:39, CiscoUKI handle of company cisco tweeted. The tweet was "Be aware ☠️
 
#BlackFriday and #CyberMonday is the busiest time of year for cyber-criminals. Here are our top tips for staying safe this weekend 👉 <hyperlink> <hyperlink>". This tweet got 1 number of likr 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
51<|im_end|>
