I was attempting to write a vignette yesterday about how the tweet which prompted this post actually got in front of the eyes of some people who might be so inclined to respond. If we’re asking a question or seeking advice, rather than sharing a resource or thought, then the audience becomes even more significant than it normally would. Without an audience, like the falling tree in the forest needing someone to hear it, the tweet and the query it carries may as well not be there.Read More »
Ghost of Christmas past …
Whilst some hashtags are short-lived, perhaps responding to an event in the educational news (#onboardwithGonski), others are ongoing and in continuous use (#mfltwitterati). Hashtag chats like #ukedchat do the work of both marshalling regular events and serving as a point of contact for those wishing to provide resources or news targeted at a specific community of interest. In a previous post, I wrote briefly about #12daystwitter, a hashtag that appears intermittently, but which recently enjoyed its fourth birthday. This post by Mickie Mueller, the founder of #12daystwitter provides the background and history, but essentially those who join in are set a simple, daily challenge which they respond to through Twitter. The intention is that they learn about participating on Twitter and perhaps have some fun into the bargain. Here I want to delve a little more deeply into what the hashtag shepherding this apparently simple activity actually does.Read More »
Deconstructing a tweet
Maybe it’s the brevity of being restricted to only 140 characters that causes us to take a tweet for granted. Or perhaps the rate at which we read and produce them has rendered them into little more than message carriers; digital versions of the scribbled notes we might once have passed under the desk in school. Of course they are message carriers, but I’d like to suggest that, thanks to the different components we include, and to Twitter’s algorithms, they actually do much more than that.Read More »
Untangling, then becoming entangled with #NAT5HRUAE
Hashtag. Hash … tag. A symbol and a few characters.
I was pretty sure when I wrote this post about hashtags and how they were used, that it was unfinished business. When the following tweet popped up in my timeline, I knew it was time to pay a return visit:
An initial inspection of Malcolm’s tweet reveals it to be a quote tweet (QT), in which the original tweet is embedded in full (although not shown above), together with Malcolm’s comments. (As a separate issue, perhaps the QT is one way of sidestepping the 140 character limit whilst performing interesting additional work, and is probably worthy of a post in its own right?) In the embedded tweet, we see the original hashtag to which Malcolm was referring, plus two additional hashtags that he used in his own tweet. Apart from their structural difference, are they also performing different work? Before I begin to unpick that, let me first say a little about the exchange which unfolded when I asked Malcolm whether he knew anything more about the hashtag. Now that Twitter threads an exchange of tweets, you’ll be able to follow the whole thing for yourself by clicking through to the above tweet, but let me summarise.Read More »
Busy as a … hashtag?
The hash (#) sign may only be a symbol, but when combined with a folksonomical tagword, it becomes one of the hardest working actors within the Twitter ecosystem.
It’s generally accepted that the origin of the hashtag can be traced back to a single tweet
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 others 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:
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.