Guest Post — Self-Citation Is How Fields Grow
Today’s post provides a brief analysis of self-referencing and scholarly impact through the lens of stigmergy theory
Today’s post provides a brief analysis of self-referencing and scholarly impact through the lens of stigmergy theory
From 19th-century beef tea to paper mills and generative AI, the challenge is no longer detection alone; it is preventing bad claims from becoming embedded knowledge.
Today’s guest post asks: Do trust markers and other systematic fraud-prevention practices exclude unaffiliated authors from contributing to the scholarly record?
Today Alice Meadows interviews Jennifer Fleet (Aries Systems) and Christian Gruback (ChronosHub) about changing author needs and how their recently announced partnership is an effort to address them.
An interview with Natalie Ridgway about new guidelines from the Committee on Publication Ethics.
How has the social media landscape in scholarly communications changed, according to data from the recent Pulse Check, past community surveys, and checked real, live marketers?
Today, we asked the community: What key message(s) do you want policymakers to take from the responses submitted to the OMB?
Open Science 2.0 must focus not only on access, but also on trust, interpretation, learning, and effective communication. The challenge facing the scholarly publishing ecosystem is ensuring that what is open is also trustworthy, understandable, and genuinely useful.
Today’s guest post presents outcomes of the WCRI’s (World Conferences on Research Integrity) Focus Track to address this gap in clarity and standardization of AI disclosure.
SSP’s latest Pulse Check survey offers a community-wide snapshot of social media in scholarly publishing as it stands today.
Today’s guest post introduces the YCR-index as an alternative to measuring value with raw citation counts.
Today’s post asks us to acknowledge the role of AI in peer review and ensure practical guidance and policies that help scholars respond with consistency and confidence.
The future of scholarly communication will not be determined by how powerful AI becomes, but by whether the research community remains clear about the purpose those capabilities are meant to serve and whether it can govern them together.
While it’s true that AI may be viewed as “legitimate,” it’s far from universally loved. Understanding that distinction tells us something important about how the technology may ultimately be adopted — and governed — within academia.
Today’s post explores what happens to the scholarly content platform when AI agents become the users.