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This section shows the results of the experiments described in section 3 on the data sets described in section 4. In the following pages, there 3 diagrams for each community. The diagrams capture 3 different aspects: the sentiment of answers, the vote score of questions, and the number of questions. These aspects are all measured concerning questions from new users.
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In diagrams (a), the blue line states the average sentiment (\emph{average sentiment} in diagram legend) of the answers to questions from new contributors. Also, the numbers attached to the blue line indicate the number of answers to questions from new users that formed the average sentiment. The orange line (\emph{sm single ITS} in the diagram legend) represents the ITS over the whole period of the available data. As stated in section 3.2, data density variability is a factor to take into account, therefore, the orange line represents the weighted ITS. The green, red, purple, and brown lines also represent ITS, however, the time periods considered for ITS before and after the change are limited to 6, 9, 12, and 15 months respectively.
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In diagrams (a), the blue line states the average sentiment (\emph{average sentiment} in diagram legend) of the answers to questions from new contributors. Also, the numbers attached to the blue line indicate the number of answers to questions from new users that formed the average sentiment. The orange line (\emph{sm single ITS} in the diagram legend) represents the ITS over the whole period of the available data. As stated in section 3.2, data density variability is a factor to take into account, therefore, the orange line represents the weighted ITS. The green, red, purple, and brown lines also represent weighted ITS, however, the time periods considered for ITS before and after the change are limited to 6, 9, 12, and 15 months respectively.
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Similarly, in diagram (b), the blue line represents the average vote score of the questions of new users. The number attached to the blue line indicates the number of questions that formed the average vote score. The ITS (orange, green, red, purple, and brown lines) are computed the same way as in diagrams (a).
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@@ -12,9 +12,13 @@ represent the ITS of the blue and orange lines respectively. In these diagrams,
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\pagebreak
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\section{StackOverflow.com}
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StackOverflow shows a very slight decrease in the average sentiment of time before the change is introduced. When the change occurs the average sentiment jumps up. After the change, the sentiments reach higher levels and keep rising. The average vote score rises right before and stays fairly constant after the change. This indicates that the vote score is not affected by the change. However, the number of questions from new contributors increases after the change while before the change is fairly constant. The number of follow-up questions from new contributors declines before the change and rises after the change.
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StackOverflow shows a very slight decrease in the average sentiment of time before the change is introduced. When the change occurs the average sentiment jumps up. After the change, the sentiments reach higher levels and keep rising. The sentiments improve after the change compared to before the change, indicating the change has a positive effect.
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The sentiments improve after the change compared to before the change, indicating the change has a positive effect. The trend of the vote score is not affected at all. Although the change heightens the base level of the vote score, the trend is the same after the change, indicating the change did not bring a long-term effect. The amount of 1st questions improved after the change and turned the stagnant trend into an increasing trend. The follow-up questions also improved in the same manner. This shows that new contributors ask more questions than before. In summary, the sentiment improves, the vote score is largely unaffected, and the number of questions improves, suggesting that the community benefits from the change.
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The average vote score rises right before and stays fairly constant after the change. The rise of the vote score before the change indicates an outside factor other than the inspected change that improved the vote score. By looking at the ITS itself, the change heightens the base level of the vote score, but the trend is the same after the change, indicating the change did not bring a long-term effect. Either way, the vote score is not affected by the change.
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The number of questions from new contributors increases after the change while before the change is fairly constant. The number of follow-up questions from new contributors declines before the change and rises after the change. Both ITS show that new contributors ask more questions than before.
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In summary, the sentiment improves, the vote score is unaffected, and the number of questions asked by new contributors improves, suggesting that the community benefits from the change.
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\begin{figure}[H]
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\begin{subfigure}[t]{0.5\textwidth}
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@@ -42,9 +46,14 @@ The sentiments improve after the change compared to before the change, indicatin
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% sentiments rising after change
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\section{AskUbuntu.com}
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AskUbuntu sees a decrease in average sentiments prior to the change. After the introduction of the change, the regression dips but sentiments keep rising drastically since then. The vote score has a huge range of values prior to and after the change, however, the graph indicates the vote score declines after the change. The number of 1st questions slightly decreases prior to the change and starts rising after the change. The number of follow-up questions stays largely the same after the change.
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AskUbuntu sees a decrease in average sentiments prior to the change. After the introduction of the change, the ITS dips but sentiments keep rising drastically since then, indicating the change has a positive effect.
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The sentiments improve after the change compared to before the change, indicating the change has a positive effect. The vote score changes from a fairly stable trend and takes a turn downwards after the change. Contrary, the number of questions asked by new users improve after the change. The number of 1st questions trend takes a turn from decreasing to increasing after the change and the follow-up questions stabilize from a slightly decreasing trend. In summary, the sentiment does improve after the change, as well as the number of questions asked by new users. The vote score does seem to be affected negatively. In general, the results indicated that the community benefits from the change.
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The vote score has a huge range of values prior to and after the change. Prior to the change, the vote score averages to a nearly constant trend. However, after the change, the trend takes a turn downwards. The graph indicates the vote score is lower after the change, however, due to the huge value fluctuation, a clear conclusion, whether the change does improve the vote score or not, cannot be reached.
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Contrary, the number of questions asked by new users improve after the change.
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The number of 1st questions slightly decreases prior to the change and starts rising after the change. The number of follow-up questions stabilizes from a slightly decreasing trend. This indicates more new users ask their first question.
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In summary, the sentiment does improve after the change, as well as the number of questions asked by new users. The vote score does seem to be affected negatively, however, due to huge value fluctuation a clear conclusion is not possible. In general, the results indicated that the community benefits from the change.
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\begin{figure}[H]
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\begin{subfigure}[t]{0.5\textwidth}
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\includegraphics[scale=0.37]{../askubuntu.com/output/its/average_sentiments-i1.png}
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@@ -71,9 +80,14 @@ The sentiments improve after the change compared to before the change, indicatin
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% maybe: sentiments did not change drastically as seen in maths communities
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\section{ServerFault.com}
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ServerFault shows gradually rising average sentiments prior to the change. At the time of the change, the regression makes a jump upward and the average sentiment decreases slowly afterward. The vote score falls prior to the change, made a huge jump upward, and quickly returns to the levels just prior to the change. The number of 1st questions, however, sees a drastic change. Prior to the change, the number of 1st questions decreases steadily, while after the change the numbers increase at the same pace as they fall prior to the change. The number of follow-up questions also sees the same course direction, falling prior to and raising after the change.
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ServerFault shows gradually rising average sentiments prior to the change. At the time of the change, the regression makes a jump upward and the average sentiment decreases slowly afterward. The sentiment stays largly the same before and after the change. Even though it is slowly rising at first and falling after the change, due to the small jump in sentiment at the change date, overall the sentiment value is pretty stable.
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The sentiment stays large the same before and after the change. Even though it is slowly rising at first and falling after the change, due to the small jump in sentiment at the change date, overall the sentiment value is pretty stable. The vote score does not really improve after the change. Although the vote score makes a huge leap upward, it quickly returns to values before the change. Despite, sentiment and vote score not being affected in the long run, the number of 1st questions improved dramatically. The downward trend reversed into an upward trend with roughly the same grade. The follow-up questions have the same trends albeit not as drastic. In summarizing, even though the sentiment and vote score are not really affected, the turn in the number of first question and follow-up questions indicates that the change positively affected the community.
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The vote score falls prior to the change, made a huge jump upward, and quickly returns to the levels just prior to the change. Even though, the leap at the change date is big and the ITS fits the data very well, the vote score does not improve in the long-term after the change.
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Despite, sentiment and vote score not being affected in the long run, the number of 1st questions sees a drastic change and improve dramatically. Prior to the change, the number of 1st questions decreases steadily, while after the change the numbers increase at the same pace as they fall prior to the change.
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The number of follow-up questions also sees the same course direction, falling prior to and raising after the change, albeit not the change is not as drastic.
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In summarizing, even though the sentiment and vote score are not really affected, the turn in the number of first question and follow-up questions indicates that the change positively affected the community.
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\begin{figure}[H]
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\begin{subfigure}[t]{0.5\textwidth}
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\includegraphics[scale=0.37]{../serverfault.com/output/its/average_sentiments-i1.png}
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@@ -99,9 +113,13 @@ The sentiment stays large the same before and after the change. Even though it i
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% small jump in avg sentiments at change date
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\section{stats.stackexchange.com}
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On stats.stackexchange.com the average sentiment decreases steadily prior to the change. The regression dips when the change is introduced. However, the average sentiment after the change indicates a slight upward trend. The vote score also decreases prior to the change but does not recover afterward. However, the number of 1st questions and follow-up questions rises prior to the change and increases even faster after the change.
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On stats.stackexchange.com the average sentiment decreases steadily prior to the change. The regression dips when the change is introduced. However, the average sentiment after the change indicates a slight upward trend. Even though the sentiment is on a lower level after the change, the trend after the change already outperforms the trend before the change after 10 to 15 months.
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The sentiment trend improved after the change and the sentiment is raising after the change compared to before. Even though the sentiment is on a lower level after the change, the trend after the change already outperforms the trend before the change after 10 to 15 months. The vote score is not really affected by the change. However, for 4 to 5 months the vote score falls into a valley for about 10 months before recovering. This can be the result of another outside factor. By looking at the number of 1st questions, it can be said that the vote score dipped because the number of first questions spiked during the previously stated time frame. This theory would be supported by \cite{lin2017better}. While the trends for 1st and follow-up questions are stagnant before the change they improved after the change. In summary, the sentiment improves after the change, the vote score is not affected, and the number of 1st and follow-up questions improves, indicating the community benefits from the change.
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The vote score also decreases prior to the change and decreases even faster afterward. However, 4 to 5 months after the change, the vote score falls into a valley for about 10 months before recovering. This can be the result of another outside factor.
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By looking at the number of 1st questions, it can be said that the vote score dipped because the number of first questions spiked during the previously stated time frame. As the community suddenly receives over-proportionally many new users, the quality of interactions in the community drops for a short time. This theory would be supported by \cite{lin2017better}. While the trends for 1st and follow-up questions are stagnant before the change they improved after the change. This indicates an increase in contributions from new users and that the change works for this community.
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In summary, the sentiment improves after the change, the vote score is inconclusive, and the number of 1st and follow-up questions improves, indicating the community benefits from the change.
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\begin{figure}[H]
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\begin{subfigure}[t]{0.5\textwidth}
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\includegraphics[scale=0.37]{../stats.stackexchange.com/output/its/average_sentiments-i1.png}
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@@ -128,10 +146,13 @@ The sentiment trend improved after the change and the sentiment is raising after
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% sight upward trend after the change
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\section{tex.stackexchange.com}
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On tex.stackexchange.com the average sentiment is low compared to the other investigated data sets. Prior to the change the average sentiment only slightly decreases. When the change is introduced the regression takes a dip down and after the change, the average sentiment increases drastically. Future data will be required to see if this upward trend continues or evens out. In stark contrast, the vote score shows a downward trend, although there is a short window around the change date where vote scores are higher compared to before and after the change. The number of 1st questions has a downward trend before the change and an upward trend afterward. The downward trend in the number of follow-up questions is uninterrupted by the change.
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On tex.stackexchange.com the average sentiment is low compared to the other investigated data sets. Prior to the change the average sentiment only slightly decreases. When the change is introduced the regression takes a dip down and after the change, the average sentiment increases drastically, indicating the change has a positive effect on the community. Future data will be required to see if this upward trend continues or evens out.
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The sentiments improve after the change compared to the stagnant trend before the change, indicating the change has a positive effect. The trend of the vote score is not affected at all. Although the vote score is high around the change date, this is not a result of the change but a coincidence as the vote score increases several months before the change actually occurs. The vote score is on a continuous downward trend with a peek around the change date. This indicates the change did not affect the vote score. The amount of 1st questions improved after the change and turned the downward trend into an upward trend with the grade. The follow-up questions do not see an improvement. This shows that more new contributors ask their 1st question than before, however, they still tend to become one-day-flies. In summary, the sentiment improves, the vote score is largely unaffected, and the number of 1st questions does improve, suggesting that the community benefits from the change.
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In stark contrast, the vote score shows a downward trend. The vote score is on a continuous downward trend with a peek around the change date but the vote score does not improve in the long term. Although there is a short window around the change date where vote scores are higher compared to before and after the change, this is not a result of the change but a coincidence. The vote score increases several months before the change actually occurs. The continuous downward trend with a peek around the change date does not indicate that the vote score improves in the long term. Either way, this indicates the change did not affect the vote score.
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The amount of 1st questions improved after the change and turned the downward trend into an upward trend with the same grade. The number of follow-up questions does not see an improvement and continues the downward trend like before the change. This shows that more new contributors ask their 1st question than before, however, they still tend to become one-day-flies.
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In summary, the sentiment improves, the vote score is unaffected, and the number of 1st questions does improve, suggesting that the community benefits from the change.
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\begin{figure}[H]
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\begin{subfigure}[t]{0.5\textwidth}
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\includegraphics[scale=0.37]{../tex.stackexchange.com/output/its/average_sentiments-i1.png}
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@@ -159,9 +180,13 @@ The sentiments improve after the change compared to the stagnant trend before th
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% trend after change strongly upward
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\section{unix.stackexchange.com}
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On unix.stackexchange.com the average sentiment decreases prior to the change. When the change is introduced the regression takes a small dip down, however, the average sentiment increases fast after the change. The vote score shows a continuous downward trend and the number of 1st and follow-up questions fall slightly prior to the change and increase afterward.
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On unix.stackexchange.com the average sentiment decreases prior to the change. When the change is introduced the regression takes a small dip down, however, the average sentiment increases fast after the change, indicating the change has a positive effect.
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The sentiments improve after the change compared to before the change, indicating the change has a positive effect. The trend of the vote score is not affected at all, the downward trend is almost continuous, indicating the change does not affect the vote score. The amount of 1st questions improved after the change and turned the stagnant trend into an increasing trend. The follow-up questions also improved in a similar manner. This shows that new contributors ask more questions than before. In summary, the sentiment improves, the vote score is largely unaffected, and the number of questions improves, suggesting that the community benefits from the change.
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The vote score shows a continuous downward trend. At the change date, the trend does not even move by much and continues downward at about the rate, indicating the change does not affect the vote score in this community.
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The number of 1st questions improved after the change and turned the stagnant trend into an increasing trend. The number of follow-up questions also improved in a similar manner. This shows that new contributors ask more questions than before.
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In summary, the sentiment improves, the vote score is unaffected, and the number of questions improves, suggesting that the community benefits from the change.
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\begin{figure}[H]
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\begin{subfigure}[t]{0.5\textwidth}
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\includegraphics[scale=0.37]{../unix.stackexchange.com/output/its/average_sentiments-i1.png}
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@@ -200,9 +225,15 @@ More than half of the communities show benefits from the change. The number of f
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\section{math.stackexchange.com}
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The math.stackexchange.com community shows a decrease in average sentiments, vote score, and the number of questions prior to the change. The measurements make a small jump upward when the change is introduced, however, they continue their downward trend after the introduction of the change. Only the number of follow-up questions stabilizes and begins to increase after the change.
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%The math.stackexchange.com community shows a decrease in average sentiments, vote score, and the number of questions prior to the change. The measurements make a small jump upward when the change is introduced, however, they continue their downward trend after the introduction of the change. Only the number of follow-up questions stabilizes and begins to increase after the change.
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The sentiment trend does not improve long term. Even though the sentiment jumps up a bit at the change date, the decreasing trend is enforced. Similarly, the vote score does not improve either and keeps decreasing after the change. Contrary, the number of questions asked by new contributors does improve. The number of 1st questions seems to stabilize and the number of follow-up question even reverse the trend and start increasing after the change. In summary, the sentiment and vote score does not seem to be affected, however, the number of question from new contributors tends to improve. This shows users seem to be more willing to interact with the community, even though the sentiment of the interactions still decreases. The change does not indicate a clear improvement according to its goal.
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On math.stackexchange.com the sentiment decreased before and after the change. Even though the sentiment jumps up a bit at the change date, the decreasing trend is enforced. The sentiment trend does not improve long term and does not indicate the change is beneficial to the community.
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Similarly, the vote score does not improve either and keeps decreasing after the change. The decrease slows down a little after the change. Also, the vote score rises several months before the change, indicating an effect of an unrelated cause. The vote score analysis is inconclusive.
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Contrary, the number of questions asked by new contributors does improve. The number of 1st questions seems to stabilize a bit and is only decreasing slowly. The number of follow-up question even reverses the trend and start increasing after the change.
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In summary, the sentiment and vote score does not seem to be affected, however, the number of question from new contributors tends to improve. This shows users seem to be more willing to interact with the community, even though the sentiment of the interactions still decreases. The change does not indicate a clear improvement according to its goal.
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\begin{figure}[H]
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\begin{subfigure}[t]{0.5\textwidth}
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\includegraphics[scale=0.37]{../math.stackexchange.com/output/its/average_sentiments-i1.png}
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@@ -228,9 +259,13 @@ The sentiment trend does not improve long term. Even though the sentiment jumps
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% sentiments falling faster than before the change
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\section{MathOverflow.net}
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MathOverflow shows a constant regression before the change, however, average sentiments are low at about 10 months before the change and spike high directly before the change. When the change is introduced the regression makes a small jump up and decreases thereafter. The votes score steadily increases prior to the change and then quickly returns to the level from 3 years before the change. The number of 1st questions falls prior to the change and stabilizes thereafter. This data set is sparse compared to the other datasets. Also, the vote scores are high compared to other datasets.
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On MathOverflow the sentiment shows a constant regression before the change, however, average sentiments are low at about 10 months before the change and spike high directly before the change. When the change is introduced the regression makes a small jump up and decreases thereafter. The sentiment falls sharply at the time the change is introduced, indicating that the change negatively affected the sentiment.
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The sentiment trend does not improve long term and even changes from a constant to decreasing trend after the change. The vote score does not improve either and changes from a raising to a sharply falling trend. Contrary, the number of questions asked by new contributors does improve. The number of 1st questions stabilizes. However, the number of follow-up questions start decreasing after the change. In summary, the sentiment, vote score, and the number of follow-up questions are affected negatively. Contrary, the number of 1st questions from new contributors trend stabilizes. The change does not indicate a clear improvement according to its goal.
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The votes score steadily increases prior to the change and then quickly returns to the level from 3 years before the change. However, the vote score does not change in course at the change date but several months after the change is introduced, leading to an inconclusive result.
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Contrary, the number of questions asked by new contributors does improve. The number of 1st questions falls prior to the change and stabilizes to a constant trend thereafter. However, the number of follow-up questions that is constant before the change starts decreasing after the change.
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In summary, the sentiment, vote score, and the number of follow-up questions are affected negatively. Only the number of 1st questions from new contributors trend stabilizes. The change does not indicate a clear improvement according to its goal. This data set is sparse compared to the other datasets. Also, the vote scores are high compared to other datasets.
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\begin{figure}[H]
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\begin{subfigure}[t]{0.5\textwidth}
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\includegraphics[scale=0.37]{../mathoverflow.net/output/its/average_sentiments-i1.png}
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@@ -256,9 +291,13 @@ The sentiment trend does not improve long term and even changes from a constant
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% falling after the change
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\section{electronics.stackexchange.com}
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On electronics.stackexchange.com the average sentiment and votes decrease continuously prior to the change. At the change date, the regression makes a little jump upward but the trend from before the change continues afterward. Similarly to SuperUser, the average sentiment recovers about 12 months after the change is introduced and future data will be necessary to determine if the recovery is persistent. The number of 1st questions rises continuously prior to the change and decreases thereafter. The number of follow-up questions falls slightly prior to the change and stabilizes afterward.
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On electronics.stackexchange.com the average sentiment decreases continuously prior to the change. At the change date, the regression makes a little jump upward but the decreasing trend from before the change continues afterward. This indicates the sentiment is not really affected by the change. Similarly to SuperUser, the average sentiment recovers about 12 months after the change is introduced and future data will be necessary to determine if the recovery is persistent.
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The sentiment trend does not improve long term. Even though the sentiment jumps up a bit at the change date, the same decreasing trend still continues. The vote score trend does not improve either and keeps decreasing after the change, however, the vote score does make a big leap upwards at the change. The number of 1st questions asked by new contributors decreases. The number of follow-up questions seems to stabilize. In summary, the sentiment does not seem to be affected. The vote score continues its downward trend although on a higher level than before. The number of questions from new contributors trend does not show real improvements. The change does not indicate a clear improvement according to its goal.
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Similarly, the vote score trend does not improve either and keeps decreasing after the change, however, the vote score does make a big leap upwards at the change. The vote score is trend is not affected by the change.
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The number of 1st questions rises continuously prior to the change but decreases thereafter. The number of follow-up questions falls slightly prior to the change and stabilizes afterward. This indicates fewer new users, and that the change negatively impacted the number of new users.
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In summary, the sentiment does not seem to be affected. The vote score continues its downward trend although on a higher level than before. The number of questions from new contributors trend does not show real improvements. This indicates that the change does not clearly improve interactions within the community.
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\begin{figure}[H]
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\begin{subfigure}[t]{0.5\textwidth}
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\includegraphics[scale=0.37]{../electronics.stackexchange.com/output/its/average_sentiments-i1.png}
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@@ -285,10 +324,13 @@ The sentiment trend does not improve long term. Even though the sentiment jumps
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% more data in the future will be required to determine if upward trend in the end continues
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\section{SuperUser.com}
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SuperUser shows only sightly decreasing average sentiment and vote score up to the change. At the change time the regressions take a dip down and the regression shows a downward trend after the change. Indeed the average sentiments and vote score dipped considerably when the change is introduced. The average sentiment recovers about 13 months later, while the vote score does not recover as well. The number of 1st questions decreases prior to the change and then goes through the roof indicating a huge wave of new users. This drastic influx of new users may explain the crash in the average sentiment and vote score that occurs at the same time. Data available in the future will show if the recovery is persistent.
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SuperUser shows only sightly decreasing average sentiment and vote score up to the change. At the change time the regressions take a dip down and the regression shows a downward trend after the change. However, the huge drop in sentiment and vote score does not align with the change date but happens 4 months after the change.
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The sentiment and vote score analysis shows a huge dip starting 4 months after the change is introduced. In the same time frame the number of 1st questions skyrockets to more than double the previous levels. This is similar to the feature found in the results from stats.stackexchange.com, although this example is much more pronounced. This feature also seems to be produced by the huge influx of new users to the community. As described in \cite{lin2017better}, the quality of interactions in the community dip for a while but recovers over time. The sentiment recovers after about 13 months. The vote score also starts to recover at the same time, however not as quickly as the sentiment value. Even though a lot of new users joined the community, the number of follow-up questions stayed largely the same. In summary, the sentiment and vote score analysis does not yield a meaningful result as the time frame after the change includes an outside factor with a huge impact. The number of follow-up questions does not seem to increase despite the number of first questions doubling, indicating that a lot of the new users are one-day-files%TODO ref?
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. The results of this analysis are inconclusive.
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In the same time frame the number of 1st questions skyrockets to more than triple the previous levels. This is similar to the feature found in the results from stats.stackexchange.com, although this example is much more pronounced. This feature also seems to be produced by the huge influx of new users to the community. As described in \cite{lin2017better}, the quality of interactions in the community dip for a while but recovers over time. The sentiment recovers after about 13 months. The vote score also starts to recover at the same time, however not as quickly as the sentiment value. Due to this spite in the number of new users, the analysis does not yield any meaningful results.
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The number of 1st questions decreases prior to the change and then goes through the roof indicating a huge wave of new users indicating a drastic influx of new users. Data available in the future will show if the recovery at the end of the timeframe is persistent. Even though a lot of new users joined the community, the number of follow-up questions stayed largely the same.
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In summary, the sentiment and vote score analysis does not yield a meaningful result as the time frame after the change includes an outside factor with a huge impact. The number of follow-up questions does not seem to increase despite the number of first questions doubling, indicating that a lot of the new users are one-day-files\cite{slag2015one}. The results of this analysis are inconclusive.
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\begin{figure}[H]
|
||||
\begin{subfigure}[t]{0.5\textwidth}
|
||||
\includegraphics[scale=0.37]{../superuser.com/output/its/average_sentiments-i1.png}
|
||||
|
||||
@@ -14,13 +14,13 @@ results
|
||||
captions ausbauen
|
||||
DONE describe what the lines are thres
|
||||
DONE describe the number
|
||||
describe everything
|
||||
DONE describe everything
|
||||
DONE describe single sm
|
||||
describe trends
|
||||
ein wenig spekulation
|
||||
DONE describe trends
|
||||
DONE ein wenig spekulation
|
||||
|
||||
DONE results 1st paragraph what are the lines
|
||||
diagramme 1 seite, text 1/2
|
||||
DONE diagramme 1 seite, text 1/2
|
||||
DONE summary extra überschrift
|
||||
|
||||
|
||||
|
||||
Reference in New Issue
Block a user