We're expanding our tools to help you understand how content was created and edited across the web.
Today we’re introducing new technology to help researchers identify content created by our tools and joining the Coalition for Content Provenance and Authenticity Steering Committee to promote industry standards.
arXiv:2607.12441v3 Announce Type: replace Abstract: Wikipedia plays a key role in shaping public understanding of science, and its openly accessible revision history is a unique record of how scienti...
The paper introduces Knowledge Pull Requests (KPRs), a framework that enables continual document authoring by making each change interpretable. KPRs extract claims from new knowledge sources, filter and route them to appropriate sections, and flag conflicts with existing content, producing a ChangeLog that separates knowledge changes from textual edits. Experiments on revising Wikipedia and updating query-driven reports show that KPRs integrate more information, better preserve existing content, and improve question answering performance compared to rewriting from scratch or using frontier models with search.
arXiv:2609.16856v1 Announce Type: cross Abstract: English Wikipedia is one of the largest examples of collective intelligence on the Web, sustained not only by article production but also by voluntee...
The paper introduces data stories as narrative documents that combine explanatory text, images, and executable SPARQL queries with visualized results to make cultural‑heritage knowledge graphs more accessible. It describes how these stories guide users through unfamiliar graphs, create reproducible narratives, and uncover hidden data‑quality issues. The authors present LODEON, an authoring platform with Sparnatural and AI‑assisted tools, and report early positive feedback from seminars and workshops.
arXiv:2609.22494v1 Announce Type: new Abstract: In recent years, there has been a surge of interest in Cultural NLP, with substantial efforts to create globally inclusive NLP systems. The rapid growt...
arXiv:2608.29889v1 Announce Type: new Abstract: Programming with AI is increasingly agentic, users prompt LLMs to directly edit their code and review the changes, with adoption growing especially for...
The article titled "How to Format Your TDS Draft: A New and Improved Guide" provides comprehensive instructions for creating a draft on the Towards Data Science Contributor Portal. It outlines the necessary steps and formatting guidelines to ensure a polished submission. The guide aims to streamline the drafting process for contributors.
Learn about the new SynthID Detector portal we announced at I/O to help people understand how the content they see online was generated.
arXiv:2608. 05478v1 Announce Type: cross Abstract: Graphical Abstracts (GAs) visually summarize the key findings of academic papers, playing a crucial role in facilitating the understanding of research content.
arXiv:2607. 18356v1 Announce Type: cross Abstract: Maintaining up-to-date code documentation is difficult in fast-moving repositories because design knowledge is scattered across source files and pull requests.
