Fairness is what the powerful ‘can get away with’ study shows
The willingness of those in power to act fairly depends on how easily others can collectively push back against unfair treatment
FAIRdata.ai — FAIR Data Assessment
Assess your research data's FAIRness. Automated pipeline using F-UJI + Claude AI. Free to use.
Home - FAIR
FAIR.pm is a groundbreaking new way of distributing software from a decentralized group of repositories. Discover, trust, install: FAIR 1.4.1 is here Decentralised WordPress packages are here. The working group for Federated And Independent Repositories is excited to announce its 1.4.1 Release. FAIR’s primary goal is to improve security in the software supply chain while […]
Manufacturing Consent: The Political Economy of the Mass Media
A bold and eye-opening exposé on how power and propaganda distort the news, now more relevant than ever • With an updated introduction“[A] compelling indictment of the news media’s role in covering up errors and deceptions in American foreign policy.”—The New York Times Book Review Renowned scholars Edward S. Herman and Noam Chomsky reveal how U.S. news media, far from being independent watchdogs, often function as tools of elite influence. With probing analysis, they present their Propaganda Model, a framework that explains how systemic bias shapes the stories we’re told, the voices we hear, and the truths that remain hidden.Through deeply researched case studies, from the Vietnam War to coverage of “worthy” vs. “unworthy” victims, Manufacturing Consent exposes the structural forces that drive news organizations to reinforce power rather than question it. It’s a sobering portrait of a media system more interested in maintaining order than informing the public.This edition includes an introduction updating key examples and expanding the Propaganda Model’s relevance to issues like the coverage of NAFTA, the media’s treatment of global protests, and environmental regulation.Manufacturing Consent is a powerful assessment of how propagandistic the U.S. mass media are, how they systematically fail to live up to their self-image as providers of the kind of information that people need to make sense of the world, and how we can understand their function in a radically new way.Whether you’re a student, activist, or citizen looking to see beyond the headlines, this book will transform how you understand the media—and the world around you.
Software Sharing for Modern Companies | Fair.io
Fair Source is an alternative to closed source, allowing you to safely share access to your core products. Fair Source Software (FSS) can be used with minimal restrictions, and becomes Open Source after a period of time.
Software Sharing for Modern Companies | Fair.io
Fair Source is an alternative to closed source, allowing you to safely share access to your core products. Fair Source Software (FSS) can be used with minimal restrictions, and becomes Open Source after a period of time.
Open technologies for resilient communities - eQualitie
eQualitie is a not-for-profit organization developing technologies to promote digital and community resilience, especially in environments threatened by censorship, surveillance, and network isolation.
Republicans accused Facebook, Google and Twitter of bias. Democrats called the hearing ‘dumb.’
Facebook, Google and Twitter on Tuesday sought to defend themselves against accusations from Republican lawmakers that the tech giants censor conservative news and views during a congressional hearing that devolved into a political sniping match.
Is open source wealth distribution fair?
These concrete value propositions can convince companies to pay open source maintainers.
interfluidity » Consensus not censorship
We’ve become obsessed over the past few years with the problem of misinformation. And for good reason. “Flood the zone with shit” is now standard operating procedure for a variety of interests and factions. Groups who pretend to be above that kind of thing let confirmation bias do the same work, elevating conjectures they find convenient to believe far beyond the evidentiary basis for believing them, and transmuting concurrence among prestigious groups whose biases are aligned into “authority” to which they demand deferrence. Casual information consumers become divided into two camps, the “do your own research” types who imagine, mistakenly, that they are capable of seeing through all this (and so succumb to their own confirmation bias), and those who more accurately understand that they cannot reliably distinguish truth from bullshit (and so opt out of democratic deliberation with a shrug, other than perhaps to vote for the candidates whose political party they distrust less).
Commentary: Children's Sense of Fairness as Equal Respect
Official websites use .gov A .gov website belongs to an official government organization in the United States.
Media Bias/Fact Check News
We are the most comprehensive media bias resource on the internet. There are currently 3900+ media sources listed in our database and growing every day.
Children’s Sense of Fairness as Equal Respect
One influential view holds that children’s sense of fairness emerges at age 8 and is rooted in the development of an aversion to unequal resource distributions. Here, we suggest two amendments to this view. First, we argue and present evidence that children’s sense of fairness emerges already at age 3 in (and only in) the context of collaborative activities. This is because, in our theoretical view, collaboration creates a sense of equal respect among partners. Second, we argue and present evidence that children’s judgments about what is fair are essentially judgments about the social meaning of the distributive act; for example, children accept unequal distributions if the procedure gave everyone an equal chance (so-called distributive justice). Children thus respond to unequal (and other) distributions not based on material concerns, but rather based on interpersonal concerns: they want equal respect.
The New York Times Responds to Criticism of Anti-Trans Bias by Silencing Its Own Reporters
The Times’s coverage reflects its commitment to a flawed version of objectivity that equates balance with accuracy.
Some startups are going ‘fair source’ to avoid the pitfalls of open source licensing | TechCrunch
New alternative category to 'closed source' could help companies monetize software in the open -- without going all-in on open source.
