After handing in my PhD, I started working as a postdoc on a project on news diversity and algorithmic news recommenders. Over the past few months, I’ve been exploring this fascinating field of research. Here are a few first observations. 🧵⤵️
1) The normative literature on the value of news diversity is basically good old democratic theory reinterpreted in the (algorithmic) news diversity context. (This is a good excuse to combine my work on ethics of influence by/through technology with my first academic love: ...
... : political theory and political philosophy).

2) Rawlsian political liberalism is still the default starting position which has ‘intuitive appeal’ but that needs to be amended. Too much leeway for laissez-faire media policies, not enough attention for emancipation, etc.
3) Habermasian deliberative democracy as a model for designing news diversity policy/tech seems to be *the* uncontested default position. In short: media diversity – both in terms of topics and viewpoints – should and can contribute to a Habermasian public sphere.
4) Agonism is often briefly discussed as a ‘radical’ alternative and basically summarized as ‘maybe we need to give more exposure to ‘emotional’ news.’
5) My first, provisional, observation is that, ironically, agonistic perspectives are *less* radical than most of their Habermasian counterparts. I get the sense that media and communication theorists working in this field love the Habermasian slogans, but underestimate(?) how...
... incredibly demanding a ‘real’ Habermasian-inspired theory of media diversity is – or should be. Agonism seems to offer a less demanding and, in that sense, less radical perspective.
6) However, the standard criticisms of agonism – can it truly accommodate meaningful pluralism, what do agonistic democratic institutions look like – still apply, also when thinking about news diversity.
So one challenge will be: can we think of (more) productive ways to bring the agonistic perspective to the news diversity context?
Fin.

(Thanks to @N_Appelman and @nhelberger for guiding me through the literature)
You can follow @MarijnSax.
Tip: mention @twtextapp on a Twitter thread with the keyword “unroll” to get a link to it.

Latest Threads Unrolled:

By continuing to use the site, you are consenting to the use of cookies as explained in our Cookie Policy to improve your experience.