In previous posts ,  and  I’ve really explored some issues associated with Twitter backchannels. I’ve talked about potential bias, analysed who’s actually tweeting and have also analysed a keynote presentation. In my final post on this theme, this week I’m turning the tables to see if it’s possible to recognise a conference session from the Twitter backchannel, given the keyword frequencies.
As previously, I’m using the UK-based Learning Technologies as an example because
In previous posts I discussed the potential disconnect between a conference backchannel and the actual content of the conference itself. Following on from some initial analysis regarding who was tweeting, this week I turn my attention to actually analysing the first of the conference sessions – the opening keynote.
As before, I’m using the UK-based Learning Technologies as an example because I know the conference well and understand a reasonable amount about the content and issues.
The uses for social media seem to know few boundaries. Tweets, updates, likes and so on are becoming part of our everyday lives. We’re seeing social media being used to topple governments, hold major corporations to account and support conferences – and the latter is the focus for this week’s post - a deeper analysis of a conference backchannel.
In a previous post I discussed the potential for disconnect between what was actually happening at conferences and what was being tweeted.
Social media tools are increasingly being used to support backchannels for a number of conferences and events. Conferences will issue ‘formal’ Twitter hashtags in advance – such as #MyConference – so that tweets can be rapidly searched, collated and shared. But what if the tweets are not representative of the conference content – surely then the immediate value of the backchannel would be lost? This post explores a real-world example and suggests some strategies and learning for all