Commercial platforms and social media companies are designed to maximise switching costs in order to retain users. Reflecting on the rise of Bluesky, Mark Carrigan warns the same market dynamics could ensnare academic Bluesky users.
After the US election there was a significant drop in users of Elon Musk’s now politicised X. There’s a risk of overstating the size of the exodus, given that at the time of writing Bluesky has 30 million users compared to what remains a larger userbase on X, even if these reported numbers are hard to trust. Yet, there are now thriving communities on Bluesky engaged in patterns of interaction eerily reminiscent of the early years of Twitter.
So why did it take academics so long to leave X? In asking the question, I realise I am in part interrogating my own motivations for remaining there until after the election. It feels awkward to explain that I was driven by the appearance of social capital to remain on a platform that I felt increasingly hostile to. I was acutely conscious that my university valued markers of public engagement, in this case a social media account with almost 10k followers, even if I rarely used it.
For other academics it was the reality of the social capital that left them bound into remaining on X, even if they felt increasingly uncomfortable with the culture of the platform. If you built a following on Twitter/X then leaving it unilaterally meant that you would lose your place within that network. This in turn could mean missing out on the appearance and reality of visibility that can feel significant in an anxious sector in the midst of a political and economic crisis.
Ultimately, I’m not sure it matters whether it’s the connections themselves, or the appearance of them, which leads academics to remain committed to a social media platform.
In my case a prominent personal academic blog, sites where I was a regular guest blogger and a Linkedin account, meant I was less concerned about losing my connections. In fact I was in the strange position of being engaged in slow project of shrinking my online network in support of my own wellbeing. Ultimately, I’m not sure it matters whether it’s the connections themselves, or the appearance of them, which leads academics to remain committed to a social media platform. The fact our working lives are now mediated in this way is however significant. Professional fortunes are now tied up in platforms that once seemed like liberating spaces, for example the impact agenda in the UK.
There are therefore significant switching costs for academics to move between platforms. Platform operate as walled gardens, they are closed ecosystems controlled by a particular firm, who impose costs on users who want to leave. Not only are the large platforms aware of this dynamic, they have actively built their strategy around it. For example in a recent book Cory Doctorow reflects on how the threat posed by Google’s social network Google+ was perceived by Facebook, as one executive claimed at the time:
“[P]eople who are big fans of G+ are having a hard time convincing their friends to participate because 1/there isn’t [sic] yet a meaningful differentiator from Facebook and 2/ switching costs would be high due to friend density on Facebook.”
Google+ ceased operating in 2019, so this executive’s confidence was well founded. However, this wasn’t simply a neutral observation about how the platforms had developed, but rather a reflection of a deliberate policy to maximise switching costs. If you make it an ordeal for users to switch to another platform you fortify your own position at the cost of user experience.
Bluesky is built on a protocol intended to mitigate this problem. The AT Protocol describes itself as “an open, decentralized network for building social applications”. The problem is that, as Cory Doctorow again points out, “A federatable service isn’t a federated one”. The intention to create a platform that users can leave at will, without losing their social connections, does not mean users can actually do this. It’s a technical possibility tied to an organisational promise, rather than a federated structure that enables people to move between services if they become frustrated by Bluesky.
The intention to create a platform that users can leave at will, without losing their social connections, does not mean users can actually do this.
This might not feel like a problem for the platform now. But, what happens when investors start to pressure Bluesky to increase engagement on the platform? What happens when a certain level of user growth becomes a non-negotiable condition for funding? The reason other social media platforms turned out the way they did is not due to the malign influence of bad actors (though clearly they didn’t help), but rather due to the logic of building a mass commercial social media platform. If you need it to operate at scale, you design it in ways that shape user behaviour to this end.
The fact Bluesky has staff with patently good intention and the firm itself is a public benefit corporation doesn’t provide us with grounds to assume they will evade this trend. The problem is that, as Doctorow observes, “The more effort we put into making Bluesky and Threads good, the more we tempt their managers to break their promises and never open up a federation”. If you were a venture capitalist putting millions into Bluesky in the hope of an eventual profit, how would you feel about designing the service in a way that reduces exit costs to near zero? This would mean that “An owner who makes a bad call – like removing the block function say, or opting every user into AI training – will lose a lot of users”. The developing social media landscape being tied in the Generative AI bubble means this example in particular is one we need to take extremely seriously.
I could be wrong. Bluesky is certainly a much better place for academics to be than X. It would be a mistake to assume it will stay that way, given the forces likely to drive enshittification. It’s illuminating to compare this (partial) academic migration to Bluesky to the failed migration to Mastodon, analysed by Wang, Koneru and Rajtmajer. While there was an “initial surge in sign-ups” following Musk’s takeover, this “did not translate into sustained long-term user engagement” because “the level of established history, as well as the strong communities established on Twitter, with some over a decade, proved too significant to overcome”.
If it’s the community which holds academics in place, it raises the question of how we might better coordinate that community in future, recognising social media as the vital part of the research infrastructure that it has become. The tendency has been to see social media for academics as a trivial feature of professional life, whereas in reality it is now central to how academic networks form and reproduce.
Even though it’s become a routine feature of academic life it’s still treated as an individual matter, in terms of choices, training and regulation.
It can be difficult to recognise this significance because it’s far upstream from specific collaborations, but the things which academics do together (empirical research, scholarly communication, public engagement etc) now frequently feature social media in their origin stories, if not always necessarily in a central role. Even though it’s become a routine feature of academic life it’s still treated as an individual matter, in terms of choices, training and regulation. There’s little sense of strategic purpose concerning social media as a form of digital infrastructure upon which research collaboration depends, which leaves the sector precariously outsourcing it to unpredictable private corporations.
We’ve seen how badly this can work out in recent years with Twitter/X. Could we respond in a more organised and effective way to future waves of platform enshittification? I hope so, but it would require universities, as well as sector-wide organisations such as funding councils and learned societies, to recognise and take a stance in relation to these issues in a way they have thus far failed to do.
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Image credit: Giovanni Battista Piranesi, The Gothic Arch, from “Carceri d’invenzione”, The MET (Public Domain).
The migration to Mastodon/the fediverse has not “failed”. It’s successful for those who stayed, and this success will help others join in the future. Several academic communities have remained active at levels not seen before 2022.
Here’s an idea: How about a social medium for academics? Why do academics need to go on platforms like Twitter or Bluesky anyway?
Excellent! This needs to be repeated more often and pushed more widely. It chimes wonderfully with what we have written two years ago:
https://royalsocietypublishing.org/doi/10.1098/rsos.230207
+1 to commenter above. I’m an author, consultant and practitioner adjunct and walked away from a well-built and wellnourished Twitter network 2+ years ago when Musk bought it. Been happily connecting and rebuilding on Mastodon ever since.
It’s a minor utopia and I deeply recommend.
Your link about the failed migration to Mastodon goes to an article that was published in the “Proceedings of Make sure to enter the correct conference
title from your rights confirmation emai” [sic]. I’m sure the study itself is interesting but I’ve never seen that particular publishing glitch before.
Strange it should take you to this arXiv article: https://arxiv.org/abs/2406.04005
Further complicating the ‘value’ of social media platforms to academics is the use of metrics such as Altmetric Attention Scores for grant applications, promotions, career discussions and other assessments or evaluations. Altmetrics rely on data from companies like Bluesky to arrive at a score. LinkedIn stopped providing data in 2014, X continues to be used in Altmetrics scores. So understanding how and which data sources are used for evaluating academics and which they should invest their time and effort in is not only an ethical decision, but one that also needs a careful and considered understanding of the underlying data assumptions and motivations.
https://help.altmetric.com/support/solutions/articles/6000233311-how-is-the-altmetric-attention-score-calculated-?
Bluesky comes to the table from a different paradigm to that of the legacy platforms, the AT Protocol upon which Bluesky is built means that even if Bluesky becomes more like X, users will be able to find alternative apps that are being built on the open-source AT Protocol. Bluesky will have to make a profit like any business, but will not follow the business model of trading user data for advertsing, but a subscription model, which will mean they will focus on customer service and satisfaction. Academics are already used to subscription services and having their work published behind paywalls, so they will not be too worried over a Bluesky subscription. The focus of Bluesky is that the user can control who they network with and target with their content by way of free moderation tools, feeds and things like starter packs. To protect their identity and reputation an academic can change their Bluesky user name to their own domain and even host their content that is on Bluesky on their own website. Unlike X, if a user wants to move to another app, they can take their Bluesky content and followers with them, and anything built on the AT Protocol can host whatever content a user publishes on Bluesky, including links. It is early days for Bluesky, but I think it will not become like any of the other legacy platforms like X.
I honestly do not understand why academics are moving to a site that is 1) wholly Democrat leaning and 2) has hardwired censorship as a feature, but are then claiming that 3) this promotes open academic conversation. It clearly does not.
Sure Twitter has some obnoxious people, but it is moving back towards a genuine free speech platform. The censorship that was enacted there – including at the documented behest of the Biden admin and the CDC – did terrible damage not just to the reputation of politicians, but also academics who endorsed, and apparently still do endorse, that censorship of medical and scientific discussion.