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wea_ondara
2023-01-08 08:24:17 +01:00
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@@ -10,7 +10,7 @@ The StackOverflow community has a fairly stable average sentiment before the cha
AskUbuntu shows an interesting zig-zag pattern in the average sentiment graph every 20 months. However, this is not a seasonal effect, as seasonal effects are based on a 12-month cycle \cite{bernal2017interrupted}. Also, the average sentiment falls before the change and raises thereafter, indicating that the change works for this community. However, further data is needed to see if the zig-zag pattern repeats itself. The number of 1st questions starts increasing again after the change stopping the downward trend before that.
On stats.stackexchange.com the average sentiment falls before the change but since the change, the downward trend stops and the sentiment starts to rise slowly, suggesting the change has a positive effect on the community. This is supported by the increase in the number of 1st and follow-up questions by new contributors. The vote score takes a dip after the change but starts to recover after 12 months which could be the result of another factor. In the same time frame, the number of 1st questions increases a lot which means more new contributors contribute to the community. Due to this influx of new users, the community metrics suffer for a period of time but recover afterward. This effect is also described in \cite{lin2017better} however the cause and effect, in this case, are not as pronounced.
On stats.stackexchange.com the average sentiment falls before the change but since the change, the downward trend stops and the sentiment starts to rise slowly, suggesting the change has a positive effect on the community. This is supported by the increase in the number of 1st and follow-up questions by new contributors. The vote score takes a dip after the change but starts to recover after 12 months which could be the result of another factor. In the same time frame, the number of 1st questions increases a lot which means more new contributors contribute to the community. Due to this influx of new users, the community metrics suffer for a period of time but recover afterward. This effect is also described in \cite{lin2017better}. However, in this case the effect are not as pronounced.
In the tex.stackexchange.com community sentiments are stable before the change and show a stark rising pattern after the change. The change seems to work for this community but future data will be necessary to see if the rising pattern continues in the shown manner. The votes score ITS does not fit the model and values before and after the change indicate a linear downward trend. However, the number of 1st questions increases slightly after the change while the prior trend shows a decreasing development. The number of follow-up questions still continues a downward trend, indicating that the new contributors tend to become one-day-flies \cite{slag2015one}. By looking at the graph of the 1st questions, the months of -44, -32, -20, -8, 4, and 16 are local minima, indicating seasonality in the data \cite{bernal2017interrupted}. These months are all in December when the people of large parts of the world are on holiday.