Susan Halford provided the opening keynote and reminded us that ‘data never sleeps’ and is being generated at ever increasing scales in real time and over time. Whilst this may constitute an ‘unexpected gift’, it’s meant we’re also ‘building the boats as we row’ in terms of the way we’re gathering and analysing those data.
Susan challenged us to consider three questions:
- What are social media data?
- Where are the data produced?
- Why does this matter?
There is genuine concern that much of the current evangelism around Big data may have done more harm than good, leading to inflated expectations about what is possible and what we can learn. If we’re not careful, our reliance on the platforms through which we access the data may unduly influence what we find, in a host of different ways, and in ways which vary over time. Demographic and geographic data especially need treating with caution, or at least with care and in full knowledge of their limitations. Perhaps we should go beyond demographics and make a virtue of the biases, limitations and specificities inherent in the data.
I hope in a sense that is what my research is doing, where I’m focusing on a particular, self-selecting sample, engaged in a specific activity. For me, the demographics are in some senses pre-defined – teachers who using Twitter. What their gender, religion or ethnicity is, will be of no consequence since I’ll not be classifying my results using those criteria. Or at least I never intended to, until I though about location. I’ve assumed my participants will be teachers drawn from a global population, though due to my linguistic limitations, from the english-speaking world. The keynote has encouraged me to revisit my thinking; in different places (with different cultures?), might teachers have a different view of, and approach to, professional learning using Twitter?
Susan asked Les Carr, her colleague from Southampton, to join her on stage. Amongst other things, Les pointed out that vivas inevitably ask us to justify our methods and the data they generate, and how they are appropriate for the research questions we pose. I was grateful for that reminder as I begin to think about my RF2 submission. Duly noted!