Tootfinder

Are there stars in Bluesky after the return of Donald Trump to the White House?
Wenceslao Arroyo-Machado, Nicolas Robinson-Garcia, Daniel Torres-Salinas
https://arxiv.org/abs/2505.22702

Are there stars in Bluesky after the return of Donald Trump to the White House?
This study examines the shift in the scientific community from X (formerly Twitter) to Bluesky, its impact on scientific communication, and consequently on social metrics (altmetrics). We analysed 14,497 publications from multidisciplinary and Library and Information Science (LIS) journals between January 2024 and March 2025. The results reveal a notable increase in Bluesky activity for multidisciplinary journals in November 2024, likely influenced by political and platform changes, with mentio…

#neu: "Handbook of Trends and Innovations Concerning Library and Information Science: A Multidisciplinary Approach"
https://doi.org/10.1515/9783111443003

Learning Lineage Constraints for Data Science Operations
Jinjin Zhao
https://arxiv.org/abs/2506.18252 https://arxiv.org/pdf/2506.1825…

Learning Lineage Constraints for Data Science Operations
Data science workflows often integrate functionalities from a diverse set of libraries and frameworks. Tasks such as debugging require data lineage that crosses library boundaries. The problem is that the way that "lineage" is represented is often intimately tied to particular data models and data manipulation paradigms. Inspired by the use of intermediate representations (IRs) in cross-library performance optimizations, this vision paper proposes a similar architecture for lineage - how do we …

"DOGE had by fiat the authority to give thumbs up or down to grant applications which had been systematically vetted by layers of subject matter experts" https://time.com/7285045/resigning-national-science-foundation-library-congress/

Why I’m Resigning from the NSF and Library of Congress
I cannot participate in systems that require dishonesty as the price of belonging.

Metadata Enrichment of Long Text Documents using Large Language Models
Manika Lamba, You Peng, Sophie Nikolov, Glen Layne-Worthey, J. Stephen Downie
https://arxiv.org/abs/2506.20918

Metadata Enrichment of Long Text Documents using Large Language Models
In this project, we semantically enriched and enhanced the metadata of long text documents, theses and dissertations, retrieved from the HathiTrust Digital Library in English published from 1920 to 2020 through a combination of manual efforts and large language models. This dataset provides a valuable resource for advancing research in areas such as computational social science, digital humanities, and information science. Our paper shows that enriching metadata using LLMs is particularly benef…

Artificial Light at Night - State of the Science 2025: #LightPollution

Such a powerful sobering, statement and also a call to continually reflect on what we are each doing in this moment. https://time.com/7285045/resigning-national-science-foundation-library-congress/

"Applications of the Critical Incident Technique in Library and Information Science Research: A Literature Review" https://doi.org/10.1515/libri-2024-0065

CPN-Py: A Python-Based Tool for Modeling and Analyzing Colored Petri Nets
Alessandro Berti, Wil M. P. van der Aalst
https://arxiv.org/abs/2506.12238 https:…

CPN-Py: A Python-Based Tool for Modeling and Analyzing Colored Petri Nets
Colored Petri Nets (CPNs) are an established formalism for modeling processes where tokens carry data. Although tools like CPN Tools and CPN IDE excel at CPN-based simulation, they are often separate from modern data science ecosystems. Meanwhile, Python has become the de facto language for process mining, machine learning, and data analytics. In this paper, we introduce CPN-Py, a Python library that faithfully preserves the core concepts of Colored Petri Nets -- including color sets, timed tok…