With the release of various interesting text generation tools, I’m starting an experiment this and next month.

I will be posting computer generated text, prompted by my own current interests, to a separate blog and Mastodon account. For two months I will explore how such generated texts may create interaction or not with and between people, and how that feels.

There are several things that interest me.

I currently experience generated texts as often bland, as flat planes of text not hinting at any richness of experience of the author lying behind it. The texts are fully self contained, don’t acknowledge a world outside of it, let alone incorporate facets of that world within itself. In a previous posting I dubbed it an absence of ‘proof of work’.

Looking at human agency and social media dynamics, asymmetries often take agency away. It is many orders of magnitude easier to (auto)post disinformation or troll than it is for individuals to guard and defend against. Generated texts seem to introduce new asymmetries: it is much cheaper to generate reams of text and share them, than it is in terms of attention and reading for an individual person to determine if they are actually engaging with someone and intentionally expressed meaning, or are confronted with a type of output where only the prompt that created it held human intention.

If we interact with a generated text by ourselves, does that convey meaning or learning? If annotation is conversation, what does annotating generated texts mean to us? If multiple annotators interact with eachother, does new meaning emerge, does meaning shift?

Can computer generated texts be useful or meaningful objects of sociality?

Right after I came up with this, my Mastodon timeline passed me this post by Jeff Jarvis, which seems to be a good example of things to explore:


I posted this imperfect answer from GPTchat and now folks are arguing with it.

Jeff Jarvis

My computer generated counterpart in this experiment is Artslyz Not (which is me and my name, having stepped through the looking glass). Artslyz Not has a blog, and a Mastodon account. Two computer generated images show us working together and posing together for an avatar.


The generated image of a person and a humanoid robot writing texts


The generated avatar image for the Mastodon account

We’re in a time where whatever is presented to us as discourse on Facebook, Twitter or any of the other platforms out there, may or may not come from humans, bots, or someone/a group with a specific agenda irrespective of what you say or respond. We’ve seen it at the political level, with outside influences on elections, we see it in things like gamer gate, and in critiques of the last Star Wars movie. It creates damage on a societal level, and it damages people individually. To quote Angela Watercutter, the author of the mentioned Star Wars article,

…it gets harder and harder to have an honest discussion […] when some of the speakers are just there to throw kerosene on a flame war. And when that happens, when it’s impossible to know which sentiments are real and what motivates the people sharing them, discourse crumbles. Every discussion […] could turn into a […] fight — if we let it.

Discourse disintegrates I think specifically when there’s no meaningful social context in which it takes place, nor social connections between speakers in that discourse. The effect not just stems from that you can’t/don’t really know who you’re conversing with, but I think more importantly from anyone on a general platform being able to bring themselves into the conversation, worse even force themselves into the conversation. Which is why you never should wade into newspaper comments, even though we all read them at times because watching discourse crumbling from the sidelines has a certain addictive quality. That this can happen is because participants themselves don’t control the setting of any conversation they are part of, and none of those conversations are limited to a specific (social) context.

Unlike in your living room, over drinks in a pub, or at a party with friends of friends of friends. There you know someone. Or if you don’t, you know them in that setting, you know their behaviour at that event thus far. All have skin in the game as well misbehaviour has immediate social consequences. Social connectedness is a necessary context for discourse, either stemming from personal connections, or from the setting of the place/event it takes place in. Online discourse often lacks both, discourse crumbles, entropy ensues. Without consequence for those causing the crumbling. Which makes it fascinating when missing social context is retroactively restored, outing the misbehaving parties, such as the book I once bought by Tinkebell where she matches death threats she received against the sender’s very normal Facebook profiles.

Two elements therefore are needed I find, one in terms of determining who can be part of which discourse, and two in terms of control over the context of that discourse. They are point 2 and point 6 in my manifesto on networked agency.

  • Our platforms need to mimick human networks much more closely : our networks are never ‘all in one mix’ but a tapestry of overlapping and distinct groups and contexts. Yet centralised platforms put us all in the same space.
  • Our platforms also need to be ‘smaller’ than the group using it, meaning a group can deploy, alter, maintain, administrate a platform for their specific context. Of course you can still be a troll in such a setting, but you can no longer be one without a cost, as your peers can all act themselves and collectively.
  • This is unlike on e.g. FB where the cost of defending against trollish behaviour by design takes more effort than being a troll, and never carries a cost for the troll. There must, in short, be a finite social distance between speakers for discourse to be possible. Platforms that dilute that, or allow for infinite social distance, is where discourse can crumble.

    This points to federation (a platform within control of a specific group, interconnected with other groups doing the same), and decentralisation (individuals running a platform for one, and interconnecting them). Doug Belshaw recently wrote in a post titled ‘Time to ignore and withdraw?‘ about how he first saw individuals running their own Mastodon instance as quirky and weird. Until he read a blogpost of Laura Kalbag where she writes about why you should run Mastodon yourself if possible:

    Everything I post is under my control on my server. I can guarantee that my Mastodon instance won’t start profiling me, or posting ads, or inviting Nazis to tea, because I am the boss of my instance. I have access to all my content for all time, and only my web host or Internet Service Provider can block my access (as with any self-hosted site.) And all blocking and filtering rules are under my control—you can block and filter what you want as an individual on another person’s instance, but you have no say in who/what they block and filter for the whole instance.

    Similarly I recently wrote,

    The logical end point of the distributed web and federated services is running your own individual instance. Much as in the way I run my own blog, I want my own Mastodon instance.

    I also do see a place for federation, where a group of people from a single context run an instance of a platform. A group of neighbours, a sports team, a project team, some other association, but always settings where damaging behaviour carries a cost because social distance is finite and context defined, even if temporary or emergent.

    When I wrote about the dinner with Marc Canter here some 2 months ago I also mentioned thinking about social software as being composed of different triangles.

    The notion stems from how I use Flickr and delicious. I track individuals and their bookmarks and through those two pieces of info I get to know their use of language as well as their general areas of interest for the day. But I also look at how the stuff I bookmark has been tagged by other people. Are these people already familiar to me? Different language use (in the tags) may hint towards different circles of people and communities.

    You see that in both cases I don’t really look at the bookmark itself, and I certainly don’t use it as a singular piece of information. It is merely an object around which I look for existing relationships, and scout out possible new ones. An object of sociality that has served its role as soon as I used it to find new people, or connect to already familiar ones.

    It works much the same way for Flickr, though the aspect to get a quick glance at what my existing relationships are up to is more important to me here.

    In general you could say that both Flickr and delicious work in a triangle: person, picture/bookmark, and tag(s). Or more abstract a person, an object of sociality, and some descriptor. In every triangle there always needs to be a person and an object of sociality. The third point of the triangle is free to define as it were.

    This becomes more interesting once you start using the descriptors to move from one object of sociality to the next, or when the descriptor is an object of sociality itself. Now you can hop through different applications while still doing the same thing you previously did inside one application: build connections to people based on their current interest, albeit a picture, a location, an event, a bookmark, a blogpost or a document.

    We generally call the stacking of apps like this mash-up. But in this case more importantly it allows us as people to seamlessly wander from one application to another while not being interrupted because you have to consciously migrate from one ‘channel’ to another. It is not mash-up to bring more functionality into one new application based on existing ones, it is mash-up to more closely follow your own routines while building and maintaining relationships.

    Plazes for instance puts itself in the place of the tags in Flickr, and presto, now pictures are tied to geographic locations and vice versa. Through which you then can find (new) people again.

    To me this also means that self-proclaimed social applications that do not offer you the possibility to explore all sides of a triangle, aren’t useful as a social medium. A bookmarking service that does say how many others bookmarked the same thing, but does not let you explore who these people are or lets you see who uses what tags, only the tags used by themselves, doesn’t do much in a social sense. By maintaining the triangle you make sure that individuals keep their face in the masses even when you aggregate info. (You can always drill back to a person and her personal set of in this case bookmarks and tags)

    You can enter any triangle through a single point. This is the most basic use of an application. I store pictures, I bookmark, I write, I geotag. But from that you can start exploring the sides of the triangle, finding new connections to people either based on the object of sociality, or by browsing the descriptors and hopping to the next object of sociality.

    Social software I think is social because it puts relationships in the center view, and less the information that flows through these relationships. The possibility of triangulation allows you to also extend and broaden both existing and new relationships into new information domains, and thus increases the likelihood of new networks of relationships and meaning emerging from the background noise.

    Photo Value of Triangulation by Roland Tanglao during the Seattle Blogwalk. (CC0 public domain)