Score of Comments and Ownership of Their Parent Posts

While I was looking to the distribution of my votes and created items on the tags, I have realized this: I tend to interact in “meme” and “fandom” subreddits. Memes are more dominant in terms of interaction via voting because they are easier to just vote and pass.

Figure 3.1 - The Number of My Votes by Tag
Figure 3.2 - The Number of My Created Content by Tag

This was interesting because, in a fandom based subreddit, for example a subreddit for a specific book series or for a show, people usually discuss heavily about the content of the show or the book. This means that there are more discussion, therefore more comments. Since I have a relatively high creation count in these subreddits, I wondered if I can find anything interesting about the comments that I have created.

There was one intruiging detail included in the data of the comments that I created, their parent post. That is intriguing to me because I also had the data about the posts created by me which meant that I could analyze if I am the owner of the parent post of my comments.

Combining these informations, I have decided to analyze if I get more interaction for my comments in the posts that I created or others’. In other words I have wondered if I continue long and crowded discussions in converstation started by others or in conversations started by me. I have created a visualization to see the distribution of the scores of my comments in the posts that I created and others'.

Figure 3.3 - The Scores of My Comments Under Others' Posts
Figure 3.4 - The Scores of My Comments Under My Posts

In order to test my question, I have formed the following hypotheses:
Null Hypothesis: There is no correlation between the ownership of the post and the score of my comment.
Alternative Hypothesis: There is a correlation between the ownership of the post and the score of my comment.

Since one way to measure activity is the interaction with the content, I have decided to use the score of the comments as a measure of activity. I have applied t-test against a significance level of 0.05 to test my hypotheses. The test resulted in a p-value of 0.11 which is higher than the significance level. Therefore, I have failed to reject the null hypothesis. This means that there is no significant difference between the scores of my comments under my posts and others'.

However, it is worth noting that there is a bit difference between the number of comments under my posts and others’. Only 45 of my comments are under my posts while 133 of them are under others’. So, this might mean that I am not that likely to start a conversation compared to joining one.