Mike Ananny

1,018 Followers
306 Following
99 Posts
Media technologies | sociotechnical systems | production cultures | theories of the public | STS | journalism studies
Associate Professor, Annenberg School for Communication & Journalism, University of Southern California
Book: "Networked Press Freedom" (MIT Press): https://mitpress.mit.edu/9780262037747/networked-press-freedom/
Articles @ Google Scholar: https://bit.ly/3NlMWlJhttps://mike.ananny.orghttps://annenberg.usc.edu/faculty/mike-anannyhttps://knowingmachines.org
Websitehttps://mike.ananny.org
Google Scholarhttps://scholar.google.com/citations?pli=1&authuser=1&user=_xJKLIAAAAAJ

While @tarleton, @ananny, and also our own research @pgmt had shown anecdotical and qualitative evidence of this, this study is a first, I believe, in trying to measure this on scale and in quantitative terms.

5/7

📣 New Article: „How Negative Media Coverage Impacts Platform Governance“. This is really an important one for me, and it’s wonderful to see this published, finally! Led by Nahema Marchal (💪) this piece has been a long time in the making.

👉 https://www.tandfonline.com/doi/full/10.1080/10584609.2024.2377992

1/7

“‘The machine did it coldly. And that made it easier.’”

https://www.theguardian.com/world/2024/apr/03/israel-gaza-ai-database-hamas-airstrikes

‘The machine did it coldly’: Israel used AI to identify 37,000 Hamas targets

Israeli intelligence sources reveal use of ‘Lavender’ system in Gaza war and claim permission given to kill civilians in pursuit of low-ranking militants

The Guardian

Many people think GenerativeAI is a public problem — but what kind of problem, for what kind of public, & how is the problem made?

In a new piece, I trace these questions across (1) charismatic figures, (2) failure indexes, (3) journalistic practices.

Free print here but email me if the link expires & I’ll send a copy: https://www.tandfonline.com/eprint/YDEABN9IKUNPGQF6YWC5/full?target=10.1080/13183222.2024.2319000

#ai #generativeAI #commodon #communication #sts #mediaStudies

Many people think GenerativeAI is a public problem — but what kind of problem, for what kind of public, & how is the problem made?

In a new piece, I trace these questions across (1) charismatic figures, (2) failure indexes, (3) journalistic practices.

Free print here but email me if the link expires & I’ll send a copy: https://www.tandfonline.com/eprint/YDEABN9IKUNPGQF6YWC5/full?target=10.1080/13183222.2024.2319000

#ai #generativeAI #commodon #communication #sts #mediaStudies

As I read this, I tried replacing “scientist” with “journalist,” and the argument largely still works…

“Artificial intelligence and illusions of understanding in scientific research”
https://www.nature.com/articles/s41586-024-07146-0

#ai #generativeAI #commodon #journalism

Artificial intelligence and illusions of understanding in scientific research - Nature

The proliferation of artificial intelligence tools in scientific research risks creating illusions of understanding, where scientists believe they understand more about the world than they actually do.

Nature

TODAY IS THE DAY. Allow me to introduce you to my new book, "Governable Spaces: Democratic Design for Online Life" (w/ beautiful illustrations).

It's about democracy in our everyday internet-lives. And it's FREE to the internet from University of California Press: https://nathanschneider.info/govbook

Governable Spaces: Democratic Design for Online Life – Writings and rehearsals by Nathan Schneider

Two thoughts on publishers must “use the suite of [Google GenAI] tools to produce a fixed volume of content for 12 months. In return, the news outlets receive a monthly stipend”:

(1) what exactly defines “use” in publishers must “use” tool to get the money? A % of a story is synthetic? A maximum # of edits?

(2) A press reliant on such tech-defined funding isn’t a *weakness* of democracy, it’s a *threat* to democracy.

https://www.adweek.com/media/google-paying-publishers-unreleased-gen-ai/

Google Is Paying Publishers to Test an Unreleased Gen AI Platform

Google is paying a handful of news publishers to test gen AI products.

Adweek
Next was an excellent talk by @ananny with an account of the sociotechnical nature of algorithmic errors and the implications for practitioners and policy makers at UCI https://www.youtube.com/watch?v=thMQR8I2oyA (5/10) #AIEthics
What are Algorithmic Mistakes, Why Do They Matter, How Might They Be Public Problems?

YouTube