First, some numbers
Just in terms of ‘follower’ stats, those 5000 Twitter users put me in the top 1%. This doesn’t come anywhere near the followings of celebrities like Stephen Fry (the Crown Prince of Intelligent Twitter, with 6 million followers) or science communicators like Ed Yong (20,000 followers), but I still take it as good news for genomics and bioinformatics generally. (There are lots of different ways that people have of tracking ‘influence’ using multiple factors, but for now I’ll stick with the simplest number.). Browsing the list of my Twitter followers is interesting – about 100 or so I know well – perhaps another 200 I know vaguely, with a small smattering of people with a broader audience than me. But the vast majority are mainly practising scientists (quite broad) with a fair proportion of what I assume are interested non-scientists (or hiding it well on their twitter profile). The reach is global – from South Africa to Norway, though far more European and US people.
This blog is viewed around 150 times per day, with spikes of up to 1000 views per day when a popular blog post is first released. Anecdotally, this seems to reach a large number of other scientists but also an unexpected number of interested non-scientists. It provides a very different channel of communication than traditional editorials in peer-reviewed publications, and lends a refreshingly informal dimension to the usual scientific discourse – one that is very much in keeping with the global nature of scientific debate. When I started out blogging my blog was read almost exclusively by people from the US and UK; over the last couple of months there has been a noticeable uptick in people viewing it from Germany and China (though US and UK still dominate). My most read posts are the scientific, more generic ones (Five Statistical things I wish I had been taught; 10 rules of thumb for genomics and Human genetics, a story of allele frequencies) – these must be linked from a variety of teaching places (there is a spike at start of term normally) and elsewhere. The single most read post is the one I made for the ENCODE publication (ENCODE; my own thoughts), though “Five Statistical things” is a pretty close second.
No Editors, no gatekeepers
One of the most powerful aspects of media like Twitter and blogs is the direct line between writer and reader: there are no editors or gatekeepers limiting what you can say. Whenever I get into an argument with an editor of a ‘traditional journal’ about whether my idea is “really want their readers want to hear,” I appreciate how liberating it can be for writers to make these decisions directly. This blog lets me focus on the things I find important, interesting or sometimes amusing without having to go through this weird discussion about what a loosely described group of anonymous people might be willing to read. This “no gatekeeper” aspect of new media gives individuals an unprecedented amount of freedom that I don’t believe we have fully realised.
But… No Editors
I’ve developed an informal network of people at the EBI who help me with these things. Foremost is Mary Todd Bergman, who is the EBI’s communications officer and, thankfully, copyedits nearly every post (and edits some extensively). I’ve found it very useful to see my original words processed and reflected back by Mary – the readability is always improved, and if she’s changed the sense that is invariably because my thoughts were not clear. After two or three rounds of editing, we’ve normally settled on text that is both clear and gets my points across. [Note from Mary: It feels very weird to copyedit this paragraph!]
For more scientifically focused posts (such as The EBI as a Data Refinery or CERN for Molecular Biologists), I normally start by asking scientists at the EBI who are closer to the work to feed back on the original draft. For example, for the “Refinery” post, Claire O’Donovan helped me explain the precise inter-relationship between UniProt, GO annotation and InterPro. In the case of the “CERN” post, I asked for input on the draft from Ian Bird, who Head of Scientific Computing at CERN and had some crucial feedback. Then it goes to Mary for smoothing out and back to the expert group for their blessing. For the (rarer) contentious blogs and tweets, I often talk things through with Mary and long-time colleagues Rolf Apweiler (Joint AD at the EBI) and Paul Flicek, who offer quite different – and very valuable – perspectives on these complex topics.
So, this blog is far more of a joint effort than the traditional concept of a lone person keeping an online diary. I’ve come to see it as a partly personal and partly ‘institutional’ e-journal.
For any medium, really, there is no point in producing text that cannot be easily read by the majority of your audience – and this audience is bound to be much broader in new media like Twitter and blogs than it would be in a traditional journal. Scientific text in journals prizes both precision in terminology, and encourages a writing style that sometimes strays into a sort of tribal signalling process that bonds writer and (niche) reader. Precision in scientific terminology is important, but I do think this often goes too far. I have found in very liberating, when writing for my blog, to put myself in the shoes of an ‘interested lay person’ so that I can convey what I find so important about seemingly complex concepts.
Blogging is a new journal
I see blogging as basically a lightweight e-publication. In fact, I’d quite like to see some of the tracking features of more traditional journal (e.g., a citation scheme and a DOI) applied to blogs, but only if it did not compromise the lightweight, ‘no gatekeeper’ aspect of the medium. When you think about it, the difference between a blog and a pre-print server is not so great: you try to put down one or two ideas per blog post, in a way that will stand relatively independent of any other context (and one should link out to provide any necessary context).
Twitter is an overheard conversation
Twitter, on the other hand, is all about context. It is an overheard conversation – the sort of thing you get all the time in the lunch queue in conferences or in the bar – and provides a peek into the peculiar interactions between scientists. Any Twitter stream almost by definition has to be seen in context – a particular blog post perhaps, or paper, or news item. An entire Twitter conversation is rarely sparked by a topic that originates solely on Twitter, and even in those rare cases when it does, one needs a veritable swarm of tweets to understand it.
Some people don’t get Twitter (which is fine – not everyone likes to natter in the lunch queue, either); but some people overrate the importance of their statements. Tweets, like conversations, are ephemeral things. The amazing thing (a bit gobsmacking, really) is that a fair proportion of the world *could* dip into any given conversation, if they wanted to.
It’s worth repeating that tweeting and blogging are – seriously – fully public activities and can be stored forever. Basic rule: If you are not happy to hear your tweet or post broadcast over loudspeakers on Oxford Street / Champs-Élysées / Kurfurstendamm / Times Square / wherever, then simply refrain.
Humour doesn’t work on Twitter.
Honestly, it doesn’t. If you are a ‘Judo Tweeter’ you might get away with it, but crafting a funny, cross-cultural, informative message in 140 characters is no simple task. And no, smiley faces don’t make you funny. I forget this every 6 months or so, and kick myself as my oh-so-funny tweets cause (at best) confusion.
Who am I, here?
It is pretty important to know “who you are” on Twitter or on your blog – and to have a pretty consistent set of themes for what you want to say. This is fundamentally why people want to follow you. Unless you are super-famous (or writing on Facebook) the theme has to be more defined than “yourself, uncut”. On Twitter my themes are EMBL-EBI stuff, life science (with a focus on genetics) and computing in the life sciences. I rarely stray away from these themes – perhaps under 5% of my tweets are off these themes.
Early on I made the mistake of tweeting about stuff I like that seems to be well received in social media. For example, I find the annual Eurovision song contest Twitter feed just tear-jerkingly funny. Tweeting about it is not On Theme and is clearly Not Funny to a good number of people: the first time I did this I didn’t have enough followers to realise what was going on. The second time, I lost about 20% of my followers, one or two with a rather snarky sign off to me. I will not repeat it again (though I might set up a ewanbirneyeurovision account just for this annual event). My rare ‘cricket ashes’ tweets might cross over this line, but I hope they are few enough to be tolerable, and even be considered to add a tiny bit of personal spice to the mix.
There are downsides. Twitter seems to latch on to a rather deep bit of human psychology: wanting to know what is going on, leading to obsessively checking your twitter feed. This is not good. The 140-character format is inadequate for explaining complex ideas, or for having a real to and fro discourse where both sides understand each other’s position (there is really no replacement for meeting face to face). Finally, similar to email, it is surprisingly easy to be nasty in ASCII text – the speed of delivery coupled to the lack of human in person response can be dangerous.