This score reflects the average of two trusted rating systems: Ad Fontes Media and Media Bias Fact Check.
Ever seen an ad for #GroundNews and wondered where they get their data? Well, they too get it from Dave. Depending on the metric, they average his scores with either 1 or 2 other so-called "trusted ratings systems."
Yet upon Dave rest the conclusions of hundreds if not thousands of studies (>500 on arxiv alone), representing unknowable amounts of computation and thousands of hours of labor. This is the spectacle of computation:
theluddite.org/post/spectac...
He uses a comically naive rubric to generate the data. It is the exact political theory that just-some-guy-named Dave would have. Had the site been DavesOpinions.com, no one would use it. Transmorgify them into data, pick a neutral name, etc., then researchers use it without even knowing who Dave is
Digging further, we find that MediaBiasFactCheck.org isn't run by, say, a lab, or a panel, but some guy named Dave. Dave is a healthcare worker in North Carolina with a passion for bias in the media working with a couple volunteers. According to the site, he makes all final editorial decisions.
Our paper's sources leads us, through several schema transformations and an intermediary, to MediaBiasFactCheck.com, a common source for those studying misinformation. It rates NYT as further left than FAIR.org, which regularly criticizes NYT for being a right-wing rag (my words, not theirs).
Merci ! Je suis toujours plus inquiet pour l'état de la science des données, ça ne serait pas le seul article sur le sujet. Maintenant, tout le monde parle de l'IA, mais les problèmes comme le positivisme non critique, les biaises, etc. viennent d'avant et ont des racines plus anciennes.
How can you label millions of tweets as true/false? If we pick a paper and follow the provenance of its data, I think that we can learn about not just this field, but also about the power of tech companies and the role of data and computation in society.
theluddite.org/post/spectac...
Since 2016, the number of papers on #misinformation or #disinformation has skyrocketed. It's hard to imagine another phenomenon for which there exists such a complete dataset, but this field must label things as true, biased, etc., sticky concepts to define at scale.
#50501 is a case study in a pathological organizational pattern we've discussed before, but now is not the time to wish that the resistance were otherwise structured. #50501 is here. What is to be done? Here's my contribution to that discussion:
theluddite.org/post/50501.h...
Many studies conclude that #TheAlgorithm has a right wing bias. Here's a post that tries to understand why by comparing the substance of the right's politics to the design of #SocialMedia.
theluddite.org/post/intelle...
"Blockchain Radicals" argues that the left ought to embrace blockchain. Here's my 2 part review, which first critiques how the book does theory, then examines Dávila's own Breadchain Cooperative. tl;dr Whatever his intentions, Breadchain is, structurally, a grift.
theluddite.org/post/blockch...
Study claims that "AI-generated poetry is indistinguishable from human-written poetry and is rated more favorably." WaPo, The Guardian, The Telegraph, and others picked it up. Here's my response.
theluddite.org/post/ai-poet...
#AI