If you like this post, or any of my work, please, nominate me for a Shorty Award. Following up on my last post using TweetPsych Data, I looked at a metric opposing social behavior: self-reference. This time the dataset is well over 60,000 Twitter accounts. What I found here is pretty clear, accounts that have […]
If you like this post, or any of my work, please, nominate me for a Shorty Award. The linguistic analysis engine behind TweetPsych has given me a bunch of cool data points to analyze, so I’ve begun to look at various factors and their relationship with follower counts. Using a database of over 30,000 accounts […]
In the research I’ve been doing over the past few years into why ideas spread, I’ve found a few common characteristics of contagious ideas across mediums and centuries. The list below contains those characteristics, and while its still an evolving set, the vast majority of successful memes I’ve studied have had some (or all) of […]
After I first launched the Twitter psychological profiling tool TweetPsych, some of the most common feedback I got was that it was hard to understand the results. So I designed a new reporting mechanism and design to solve that problem. The new TweetPsych uses “meta dimensions” which are combination of related factors from the two […]