So...I have been systematically collecting tweets about human papillomavirus (HPV) vaccines since October 2013. We now have over two hundred thousand tweets that included keywords related to HPV vaccines, and the first of two pieces of research we have undertaken using these data has just been published in the Journal of Medical Internet Research. It covers 6 … Continue reading Twitter users with anti-vaccine opinions are relatively easy to spot if we can measure their misinformation exposure
So #hic12 is nearly here and I’ll be there in a rather unusual capacity. I won’t be giving a talk. I won’t even be standing in front of a poster. I’ll be there as the official twitterer, which means I’ll be flitting around from talk to talk, tweeting from the official @hic_2012 account, and hopefully connecting people … Continue reading The Health Informatics Conference 2012, Sydney
It is now old news that contributions in the form of new articles and edits have slowed dramatically since the end of 2006. The change was so dramatic that it could (should) not be interpreted as a ‘saturation of knowledge’ but is much more likely to come from the more mundane - that contributors had … Continue reading The death of Wikipedia? Does it mean anything?
[Update: This page is no longer relevant. If you are here to interact with Twitter via the API using Matlab, then you want Twitty. The rest is here for posterity.] Having slowly degraded my ability to interact with proper operating systems and obscure programming languages (e.g. NSFW), I find it difficult to keep up with … Continue reading Full access to the Twitter API in Matlab via R
This visualisation by Eric Fischer is wonderful in its simplicity and a quick zoom around the (very big) original-sized version reveals some amazing information about the languages being spoken in different places around the world. Of course Europe is very interesting with the clear borders and the unusually high density of tweets in the Netherlands - … Continue reading Language communities – another use for Twitter
A quick link for today showing a visualisation of Twitter showing a more practical explanation of a nation’s (presumably referring to the UK in the picture below) mood. I think it is interesting and beautiful.