Tootling along

When you approach your research with an actor-network sensibility, the one thing that you’re pretty much guaranteed to have absorbed through your reading, is to ‘follow the actors’. The principles in virtual or digital ethnographies similarly encourage you to follow connections and flows; an arguably much easier proposition in the online hyperlinked world than in the offline. It was these approaches that led me to #TootlingTuesday.

Using NVivo, I was working through my first coding pass of a corpus of tweets when a particular tweet caught my eye. A single click on the url of that tweet took me out of NVivo and into my browser so I had a better chance to see it in context. The tweeter’s bio suggested this might be someone I could benefit from following, so, following my usual algorithm, I did a quick check of their last few tweets to confirm that they tweeted interesting material. In their stream I spotted a reference to #TootlingTuesday which further piqued my interest. This was a hashtag I’d not come across before, so I clicked on it to initiate the Twitter search page. A scan through the returned tweets revealed them to mainly be celebrating or praising what other’s had done or said or shared. But I was keen to know more and see whether my interpretation was correct, so #TootlingTuesday next migrated into a Google search. Although the search results didn’t provide much background, one image which was returned helped a little:

(If you know the origin of this image, please let me know in the comments)

Different search engines were even less helpful, so unfortunately on the basis of the ten minutes I spent, somewhat ironicaIly, I’m therefore unable to credit the originator … or even the designer of the image. If I desperately needed to know, my next step would be to follow it up with some of the folks who’ve been using the hashtag.

When I reflected back, what was interesting was the way in which my actions had been influenced by the materiality within the environments. Initially a tweet appropriated my interests which took me to a person’s Twitter account, where I sought out the standard elements I always draw on; in this case the bio and the twitterstream. From a tweet within there, the #TootlingTuesday hashtag mobilised me into further action to seek its origins. I now needed to employ several search engines. Most of these acted only as intermediaries, briefly taking my inputs, but failing to transform them into anything more meaningful. Google images however became a mediator, serving up further information which transformed my knowledge and understanding of the hashtag – I was changed as a result of the output of the Google search. Are the #TootlingTuesday hashtag and I now part of each other’s actor-networks?

I find myself speculating on each of the transition points where that sequence of activity might have broken down after seeing the original tweet. If the person’s bio, or subsequently their twitterstream had not satisfied my criteria for sustaining interest (perhaps I ought to lay them out at some point?), or if I had not scrolled down sufficiently far, then I would not had seen the tweet containing the hashtag. If it had not been a Wednesday (i.e. just after Tuesday) then the tweet or one similar might have been too far back in the temporal flow of the stream. If the hashtag had not been of interest, or not a hyperlink through which I could immediately access Twitter’s search page and thereby instantly form an impression. If at least one search engine had been unable to provide a significant piece of the puzzle. Is it coincidence that these elements all lined up? Or serendipity? I wondered too about the ways in which other people are enrolled by the #TootlingTuesday hashtag and different paths they take and outcomes which result. Perhaps that’s all part of the richness and variety of learning experiences on Twitter … or anywhere else?

Finally in a more methodological reflection, one might assume that when dealing with a tweet corpus, you’ve left the field and are back in ‘the office’ analysing the data. In one sense that’s of course true, but in digital ethnography, you’re never more than a click away from being back in the field.

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2 thoughts on “Tootling along

  1. Thanks for the feedback Kathleen. Out of interest, I have tried some of the those features within NVivo, though my research is taking me away from the ‘community’ or SNA areas and more towards a focus on perceptions of individuals. In this particular case, I was working with quite a small corpus or around 200 tweets. In addition, because of the source, I hadn’t been able to use NCapture to gather them, so although in a dataset, I suspect the fields were different to how NVivo needs/expects them.

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