1/ This paper by @salome_viljoen_ is one of the best, and most substantial, pieces I know of on how to think of data politically.
papers.ssrn.com/sol3/papers.cf…
2/ By now, many people are aware that the current model of nearly unchecked data extraction by large companies is terrible, for many reasons, not the least in terms of concentration of power and wealth. But what do about it?
3/ The critiques fall in two categories, “proprietarian” and “dignitarian”. The first group argues that we are under techno-feudalism where people are dependent and not paid for what is essentially theirs, either their own data or the work that does into producing data.
4/ The answer then is, more property rights. Everybody should have a right to their own data, which they can tell sell in the market and thus get paid for allowing others to use their property. Or, by way of a salary for their labor. Free labor thus becomes waged labor.
5/ The “dignitarians” see the problem as a flattening of the person through data, an encroachment on the sanctity of inner life, an erosion of free will, and a threat to individual self-determination. Their answer is to limit the collection of data, shore up privacy laws etc.
6/ What they have in commons is that they data as mediating a vertical relation, that between the data subject (‘the user’) and a company (‘data collector’) and propose ways to strengthen the former against the latter.
7/ Both are problematic, not the least because they conceive of data are pertaining primarily to individuals. But data is not primarily about individuals, even of its extracted from them. Rather data is always social, ie. it also has what she calls a 'horizontal' dimensions.
8/ For one, with the genetic data of a single person, one can identify the entire biological family without their knowledge or consent. Second, companies are constantly creating groups. Information about me, will affect everyone in the group, as they are treated as similar.
9/ Philosophically, one could say this is a long overdue recognition that we are not atomistic indvidiuals, but are constutiting each other through dynamic patterns of similarity and difference. A kind of 'ubuntu' view through data.
10/ This is not something we can navigate, negotiate, or consent to individually, but if we take the horizontal dimension of data at least as seriously as the vertical ones, we need other mechanism of governance.
11/ These need to consider that data practices are aimed at population level, not individual control. Governance needs to take place at the collective level, not just through individual rights. Data coops, data commons, but also public data are part of this type of governance.

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More from @stalfel

23 Feb
Australia's proposed "media code" bill is a terrible solution to a very real problem and offers no template for Europe. In a nutshell. It proposes that media platforms, such as Google and FB, pay news orgs whose content is acessed through their platform. 1/
Sounds good? There are real problems. First, there is a very narrow definition of what media orgs are. Mainly concentrated corporate media (and the Guardian). Likely main beneficiary. Sky/Fox. Likely losers, small, local, and innovative media companies. 2/
Second, it makes the news media directly dependent on social media, creating an incentive to "optimize" their content for this toxic environment. In effect, it fuses the two environments, with social media dominating. 3/
Read 7 tweets
25 Nov 20
1/ So, I read @adriandaub “What Tech Calls Thinking”, a book I was predisposed to like, not just because I’m interesting in the topic (a cultural critique of tech), but also it caters directly to people like me who believe in the value of higher eduction and critical thinking Image
@adriandaub 2/ And how does tech, that is Silicon Valley, think? Basically, like bumbling undergrads who grab trivialized versions of serious concepts, which they misinterpret to provide their privileged and parochial experiences with faux drama (dropping out! disruption!) and universalism.
@adriandaub 3/ Fair enough, but is that really all? Unless you read the book closely, you might miss that most tech entrepreneurs were engineering rather than humanities students. Has perhaps the culture of engineering (or economics or law) also shaped their thinking?
Read 9 tweets
16 Nov 20
1/ So, I read “Blockchain Chicken Farm" by @xrw . It’s one of the best books I read this year, not just because its starting point (the countryside) is counter-intuitive for a “metronormative” person like me, but also because it’s much more than simply a book about tech. Image
@xrw 2/ It’s a reflection on the transformation of social and natural life under digital capitalism, full of off-hand remarks such as: The “right to privacy is not an individualistic one of secrets and stories, but a social one that requires us to lead with trust in our daily lives.”
@xrw 3/ @xrw is sharply critical of how the drive for optimization and scale underlying the transformation of the Chinese country-side is driving a ‘race to the bottom.’ Yet, the past of back-breaking poverty offers no reason for nostalgia, they (the author is non-binary) are also ...
Read 8 tweets
11 Nov 20
So, ich habe das neue Buch von @Viktor_MS gelesen. In a nutshell: Nicht Rechenleistung, nicht Algorithmen, nicht Data Scientists, nicht Risikokapital sind knapp, sondern der Zugang zu Daten. Die grossen Firmen (in USA und China) haben alle Modelle entwickelt, (1/5) Image
@Viktor_MS durch die sie immer mehr Daten sammeln, so dass ihr Konkurrenzvorteil immer grösser wird und sie de-facto Monopolstatus erreichen. Europa kommt dabei immer mehr ins Hintertreffen, Innovation wird abgewürgt, eine neue Form des Kolonialmus entsteht. (2/5)
@Viktor_MS Datenschutz ist ein untaugliches Mittel dagegen. Was würde helfen: Europa muss Konzerne zwingen, ihre Daten offen zu legen, so dass alle darauf zurück greifen können. Monopole werden aufgebrochen, die Hürden für Innovation radikal gesenkt. (3/5)
Read 6 tweets
2 May 20
While we continue to talk about #Tracing apps, we are missing out in what happens on the level of infrastructure.

I see three things:

1) Amazon and other "just-in.time" services are becoming essential infrastructure. Thus consolidating their (near monopoly) power.
2) Social media companies are consolidating their central role shaping public discourse. How? Content moderation is expanded, and, as the lock-down keeps workers at home, and the rest is focused on Covid-19 stuff, more & more is being automated, further reducing accountability.
3) Big data companies (e.g. Palantir) are moving into public sector infrastructures, providing data-analytics services. Not only do they gain access to vast amounts of data, but their logic of differential treatment (rather than universal service) will become even more dominant.
Read 4 tweets

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