madisen

here are two basic approaches to creating AI datasets. The first one, which is typical of the case we have been studying, a pool of open works is purposefully chosen to ensure license compliance. The second approach creates the dataset by scraping the “raw internet” and relying on copyright exceptions. LAION , a dataset of 400 million image-text... See more

While we might use these spaces, open communities have particular needs. They are formed not from shared identity but from entwined attention and collaborative work on shared resources. They thrive on diversity and so require the creation of an environment that is proactively inclusive and welcoming. They need fluidity, iterativity, and a... See more

having failed to make openness illegal using state power, the oligopolists are now trying to make it irrelevant using private power, network effects and hard-wired filters.

Early in the twenty-first century, the attempt to enact exclusivity-based laws for controlling access to digital resources in the US gave rise to the open movement. The movement quickly gained momentum. The champions of openness hoped that universal access to knowledge and culture, made possible thanks to the power of the Internet, would contribute... See more

dealing with bad actors and reducing harm is not the same as in -centivizing good actors to establish best practices and good dataset governance.

earch engines have already disintermediated Wikipedia: Google uses Wikipedia content in the information boxes it displays, and as a result, many people need help to click through to Wikipedia itself.

opening assets is just one part of a broader goal to enable and nurture creative communities. And that this perspective gives a different way of viewing the largest digital platforms, and a more targeted response to their dominance.

The Information Age's emphasis on speed over expertise contributes to "superficial culture in which even the elite will openly disparage as pointless our main repositories for the very best that has been thought

Welcoming language, customized wayfinding, instructional onboarding, familiar contribution and consumption interfaces, suggested actions, and explicit gratitude and feedback are all areas where small changes could make significant improvements in the Wikimedia experience—and potentially improve the quality of new editor contributions and overall... See more