Below you will find pages that utilize the taxonomy term “Twitter research”
new publication: examining pseudonymous academic Twitter accounts
- kudos:I’m happy to report that a paper of mine (in collaboration with David E. Williams at the University of Saskatchewan) has just been published in The Internet and Higher Education. We topic modeled 77,514 tweets from 59 academically-themed but anonymous or pseudonymous Twitter accounts. This resulted in five broad topics, and we followed up with a qualitative analysis of the 100 most-representative tweets from each of those topics to generate some narrower codes.
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Just used the phrase ‘hashtag ontology’ in a draft manuscript, and I think that will keep me happy the rest of the day.
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Trying to collect tweets from a very-new account, but advanced search with “from:” doesn’t seem to work. Has anyone ever had this happen before?
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If only I had known as a middle schooler who was uncool for not knowing who Eminem was that one day I would be explaining a “Real Slim Shady” joke in an academic research paper about how Mormons use Twitter 😂🤷🏼♂️
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My first rule as a low-budget Twitter researcher is to collect interesting data first, ask (research) questions later. I have a lot of data I’ve never used, but I’d rather deal with that than a missed opportunity.
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I got a reminder today that I do the kind of research where something as hilariously unintuitive as telling a program to treat long numbers as “words made up of 0-9” is actually a critical step to making sure you get the right results.
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Funniest thing I’ve read all day is a tweet in the data I’m working with that proposes a Warcraft version of the French baccalauréat exam.
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I love that I do the kind of research where I have to define terms like “hashtag” and “meme,” but I hate trying to figure out how much of a 1,000-word conference proposal to dedicate to those definitions.
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Today’s manuscript revision fun is detangling the results of a coding error that left out 3 hours and 56 minutes worth of tweets from my analysis. Just enough to make some very small differences in reported results.