There is no meta-data about who these people are in real life IRL or even what was the nature of the content they were upvoting and downvoting. There are three takeaways from the histogram above: The average number of votes by a username was There are bumps at and votes. Incidentally — this is why you should always visualize your data. Note how both the percentages and number of usernames in each category decrease.
Look at the cumulative percent column and make sure that makes sense to you. The three takeaways are: Negativity follows a reverse long tail. It really happens — see how the figures fall away to left On average, usernames upvoted what they saw average 0. There are bumps at 0 related to a methodological note and at Segmentation A segmentation is a grouping of records, usually people, into categories.
Takeaways: There are One-Time-Olivers, representing The last three segments are pretty equally divided — the first two are more lopsided. One-Time-Olivers There are very efficient ways that statisticians quickly summarize and understand the relationship among variables. Takeaways: All One-Time-Olivers voted exactly one time. Vanity Vanessa Vanity accounts frequently enter Reddit, they flicker, and they go out. Most of them posted only 2, 3, or 4 times.
So, how did they vote? Very few persistently downvoted everything they saw. Takeaways: Average number of votes is Familiar long tail. How do they vote?
Takeaways: Classic long-tail continues. Averaging The unusual bump at the beginning of the series is just magnified by the scale from the previous vote frequency histogram. Takeaways: Far fewer of them are likely to upvote absolutely everything they see. More of them, on average, are disposed to downvoting.
Power Paulines Power Paulines are the most difficult group to analyze, but the easiest to summarize and understand. The cause is related to rate limiting within the Reddit API. The longest part of the long tail — those power users with thousands and thousands of votes, are all bundled and clustered together at There are around of such power users, representing some 1.
So how do they vote? Takeaways: The bump at 0 is caused by upvotes getting averaged out by upvotes. Your downvotes are visible to you only. At the moment, votes won't change the order of responses similar to how Reddit buries replies that get a ton of downvotes. As Twitter User Researcher Cody Elam explains in a series of tweets, the experiment's purpose isn't to shame users, but to give "people the power to privately voice their opinion on the quality of replies" and to give the company a "more nuanced feedback.
This isn't the first time Twitter started testing the Reddit-like feature. A few months ago, the social network started experimenting with Facebook-style emoji reactions that also included upvote and downvote buttons. Sign up. Twitter starts testing Reddit-like downvote button on iOS It will give Twitter feedback on the kind of replies you find relevant.
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