We’re in This Together: A Multi-Stakeholder Approach for News Recommenders

Research article (Digital Journalism, 2022) · cited 29× · AI/ML
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We’re in This Together: A Multi-Stakeholder Approach for News Recommenders

Summary

We’re in This Together: A Multi-Stakeholder Approach for News Recommenders is a scholarly article[1].

Key Facts

  • We’re in This Together: A Multi-Stakeholder Approach for News Recommenders's instance of is recorded as scholarly article[2].

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). We’re in This Together: A Multi-Stakeholder Approach for News Recommenders. Retrieved May 24, 2026, from https://4ort.xyz/entity/were-in-this-together-a-multi-stakeholder-approach-for-news-recommenders
MLA “We’re in This Together: A Multi-Stakeholder Approach for News Recommenders.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/were-in-this-together-a-multi-stakeholder-approach-for-news-recommenders.
BibTeX @misc{4ortxyz_were-in-this-together-a-multi-stakeholder-approach-for-news-recommenders_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{We’re in This Together: A Multi-Stakeholder Approach for News Recommenders}}, year = {2026}, url = {https://4ort.xyz/entity/were-in-this-together-a-multi-stakeholder-approach-for-news-recommenders}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): We’re in This Together: A Multi-Stakeholder Approach for News Recommenders — https://4ort.xyz/entity/were-in-this-together-a-multi-stakeholder-approach-for-news-recommenders (retrieved 2026-05-24)

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