I generally read everything that is posted on this platform. When I see a huge chunk of text, I sometimes postpone reading it for later, when I would presumably have more time. I keep such posts open in a tab. These tabs tend to pile up and I end up not reading them for weeks, if ever.
I suggest more summarizing and condensing. It requires a bit more effort but ends up saving time for hundreds of people for years to come. Twitter is a great practicing ground for this.
For sessions: A weak correlation between the number of suggestions and the number of likes
Shubhankar KulkarniOct 20, 2020
I recorded data on the latest 30 sessions and plotted a trendline. I see a weak correlation between the number of suggestions and the number of likes. I will update this suggestion when I record more data.
Users who write a suggestion do not necessarily "like" (thumbs up) the session.
"Like"ing a session does not entail more activity on it.
Are likes used purely for acknowledgment or to show support for a session?
What should they be ideally used for?
Darko SavicDec 11, 2020
People often start with what can be described as "warmup" content. For example:
Low hanging fruit - obvious stuff that's on everyone's mind
Duplicates (more prevalent when many people go for the low hanging fruit)
Questions with universally known answers (Quora type)
Aimless content, without a clearly defined goal
I'm guessing that people genuinely want to get involved but don't quite know what we are doing here. For that matter, neither did we until not long ago. We are trying to fix this problem with help-modals that pop up the first 2 times new people create content. On subsequent times there will be helpful tips on the sidebar, next to the editor.
For sessions: No correlation between the number of words in the session text and the number of suggestions and likes it has
Shubhankar KulkarniOct 21, 2020
Based on Juran's and Dragan's comments, I recorded data on the latest 30 sessions and plotted a trendline. I see a very weak negative correlation (R-square < 0.1) between the number of words in the session text and the number of suggestions it has. I will update this suggestion when I record more data. Here is the plot:
The hypothesis was that for longer sessions, users might "like" the session if they like the title and postpone reading the entire session text. This may increase the number of likes on the session but will have fewer suggestions. This does not seem to be the case right now. Of course, these are preliminary results and the weak negative association can turn out to be a strong one.
Just to be doubly sure, I plotted the number of words in the session text against the ratio of the number of likes to the number of suggestions on the sessions. A strong positive trend suggests that users might "like" a session but postpone writing suggestions for longer sessions. No correlation suggests that that may not be true. Here is the plot:
A very weak correlation (R-square < 0.1) is observed.
Users do not simply "like" sessions because they are long.
Users do not "like" but postpone writing suggestions on a session because it is long.