This document briefly describes the most common forms of analytics tools in use in both traditional digital publishing and academic publishing, with an emphasis on what they are designed to measure and what goals they are designed to serve.
by Gabriel Stein, Jessica Polka, and Tony Ross-Hellauer
Published: Aug 27, 2020
The output of the project will include a specification for representing editorial events as Doc Maps, implementation guides for publishers and technology providers, and a roadmap for future development of a Doc Maps ecosystem, including aggregation and discovery services.
by Gabriel Stein, Travis Rich, Zach Verdin, and Catherine Ahearn
Published: May 19, 2021
The dominant commercial models in scholarly publishing aren’t serving the academy or humanity well — extracting enormous profits from a mostly publicly-funded endeavor. But we have a window to stand up and support an alternative.
The problem with impact algorithms isn't that they exist, but that when they dominate, they coerce others into conforming to shapes designed to satisfy profit-driven needs rather than the community's needs.
I would rather live in the present than give myself a second job hunting for better returns. But if you do get crazy rich on crypto, please consider inviting me to your yacht parties. You can make fun of me for this post.
Did science communicators learn nothing from the CDC's early mask mess-up? By refusing to even acknowledge good-faith questions about the virus's origin, we risk repeating the mistake and driving skeptics further to the fringes.
Maybe the people who are trying to understand why conspiracies take root online are themselves part of a giant conspiracy to prop up the online advertising economy. Personally, I think the truth might be weirder and a bit less nihilistic.