#ascilite2014 a social media journey and twitter archive
The conference is over and having had a small role on the conference committee as the social media wrangler (Steampunk role, "#Pigeoneer") it has been a wonderfully enriching experience. I'm very grateful for the opportunity to be involved and to have worked with a team of really exceptionally talented and lovely people.
Word Cloud of tweets from the archive (25.11.14)
Managing the social media streams
I used a number of tools to manage this project.
TAGS: archiving tweet stream
Tweepsmap: for discovering where our followers were based. Helpful for scheduling tweets
Twuffer: scheduling tweets
Hootsuite: managing twitter streams and scheduling tweets
Twitter analytics
Jason Davies Word Cloud
Pinterest: for images of Dunedin and Steampunk inspiration boardfor the conference dinner
Instagram: for sharing ascilite community images at conference using #ascilite2014
Here's a breakdown of some of the analytics.
Tweetsmap provides data on the location of followers. We can see the majority are in Australasia.
Twitter analytics provides some broad information about the demographics of the community and it's engagement.
TAGS version 6, by mhawksey, was set up to archive tweets about the conference and has been published on Figshare under a CC-BY license. Please cite this data collection as:
Twitter archive from ascilite2014 Rhetoric and Reality, held in Dunedin 23-26th November 2014 #ascilite2014. Sarah Gallagher. figshare. http://dx.doi.org/10.6084/m9.figshare.1252248
The following are screenshots generated by TAGS summary and dashboard functions.
It's possible to use TAGS Archive to search the archive by keyword or handle and then refine by using the date slider.
Use the TAGSExplorer to see a visualization of the interactions of the ascilite twitter community. You can click on the nodes to explore deeper into that person's involvement; here's an example ...
Community contributions
Stuart Palmer (@s_palm) provided a word cloud of the conference proceedings and has some created some impressive visualizations too.
Raw word cloud of ~442k words from #ascilite2014 proceedings [250 KB - still needs some cleaning up] pic.twitter.com/UydjNgACUY
— Stuart Palmer (@s_palm)
November 24, 2014
Addition (30.11.14)
After a bit of post-processing to merge root words & remove white noise, here's what #ascilite2014 tweeted. pic.twitter.com/PHG70Wdz7F
— Stuart Palmer (@s_palm) November 29, 2014