<|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 2019-11-27 14:15:01, CiscoUKI from company cisco tweeted. The tweet was "The cybercriminals are gearing up for their favourite time of the year 📅

Before #BlackFriday and #CyberMonday, ensure you take steps to protect yourself from malvertising 👉 <hyperlink> <hyperlink>". The most similar tweets were, 
1. 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 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 2018-04-16 10:32:39, CiscoUKI handle of company cisco tweeted. The tweet was "Manufacturing cyberattacks rose 24% during 2nd quarter of 2017: Register for free #HM18 ticket &amp; keep your business safe 🔐 <hyperlink> #SecureI40 <hyperlink>". This tweet got 0 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
0<|im_end|>
