Misinformation, Disinformation, and Scholarly Communication (Part 2)
How should we think about the problems of misinformation and disinformation in the context of scholarly publishing, research, and libraries?
How should we think about the problems of misinformation and disinformation in the context of scholarly publishing, research, and libraries?
How do the problems of misinformation and disinformation intersect with the concerns of scholarly communication?
In chaotic times, we must look for reliable things, like the joy of dropping stuff off a tall building…
Nicola Davies from IOPP details the publisher’s new data sharing requirements for authors.
Adapting to AI requires a commitment to fostering AI literacy and creating spaces to openly discuss its challenges and implications.
A recently announced partnership with Emerald Publishing will bring the EveryLibrary Institute’s expertise to the academic library community as the U.S. government attacks extend to institutions of higher education.
A sneak peek at the Individual results from the SSP’s Compensation and Benefits Benchmarking Study provides insight into who has participated and reveals some interesting benefits of working in scholarly communications.
What can be done to resolve concerns about image integrity in scientific publications?
What role does/could scholarly publishing play in nature conservation?
I tried three different large language models (LLMs) to rewrite a potential article.
What if the community could collaborate to fix scholarly metadata? The COMET initiative is about to find out…
If the local pub trivia master is looking for information on Agatha Christie, what are the available options? How will AI change the nature of literary scholarship?
Recently, a group of Ukrainian researchers uncovered serious violations in the use of ISSN identifiers by journals operating in temporarily occupied territories, revealing systematic misuse of academic infrastructure and promoting narratives hostile to Ukraine.
In response to US government efforts to censor research and researchers, a small group of scholarly communications professionals have launched a Declaration to defend research. Learn more in today’s post by Alice Meadows, one of the members of this group.
“Rights reservation language, whether in plain English, included in terms, or coded into, e.g., metadata, is “machine readable.” It is a choice by an AI developer to not read “human readable” rights reservation language.”