There was a discussion in another post about those inactive accounts being potential spam/bot accounts. However, what I've found (more 'gutfeel' stuff) is that the 90:9:1 rule rings true. 90% will lurk and just view, 9% will comment or add reactions some of the time, 1% are active in the comments and posts. I was a lurker with no info in my profile for well over a year before posting anything.
Software Engineer and jack-of-all-trades, mostly working with machine learning and AWS.
Interested in the trends in tech and working out how we can use them!
Very good point - pretty sure I did the same, lurked then moved up to comments/reacts, then posts, be interesting to know what the average conversation rate/time is..?
Could try:
User endpoint -> capture dataset
Use articles data set + Users -> associate posts w/ user
Use 'date_joined' compared to article post dates to work out the conversion
Bonus points: Get comments for each post too -> compare too
Probably deserving of an IP ban at some point through the user capture though I imagine! :D
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There was a discussion in another post about those inactive accounts being potential spam/bot accounts. However, what I've found (more 'gutfeel' stuff) is that the 90:9:1 rule rings true. 90% will lurk and just view, 9% will comment or add reactions some of the time, 1% are active in the comments and posts. I was a lurker with no info in my profile for well over a year before posting anything.
Very good point - pretty sure I did the same, lurked then moved up to comments/reacts, then posts, be interesting to know what the average conversation rate/time is..?
Could try:
Probably deserving of an IP ban at some point through the user capture though I imagine! :D