Pith. sign in

REVIEW 3 cited by

A Taxonomy of Knowledge Gaps for Wikimedia Projects (Second Draft)

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2008.12314 v2 pith:BS4FZRA3 submitted 2020-08-27 cs.CY

classification cs.CY
keywords knowledgegapswikimediaindexprojectstaxonomymovementacross
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

In January 2019, prompted by the Wikimedia Movement's 2030 strategic direction, the Research team at the Wikimedia Foundation identified the need to develop a knowledge gaps index -- a composite index to support the decision makers across the Wikimedia movement by providing: a framework to encourage structured and targeted brainstorming discussions; data on the state of the knowledge gaps across the Wikimedia projects that can inform decision making and assist with measuring the long term impact of large scale initiatives in the Movement. After its first release in July 2020, the Research team has developed the second complete draft of a taxonomy of knowledge gaps for the Wikimedia projects, as the first step towards building the knowledge gap index. We studied more than 250 references by scholars, researchers, practitioners, community members and affiliates -- exposing evidence of knowledge gaps in readership, contributorship, and content of Wikimedia projects. We elaborated the findings and compiled the taxonomy of knowledge gaps in this paper, where we describe, group and classify knowledge gaps into a structured framework. The taxonomy that you will learn more about in the rest of this work will serve as a basis to operationalize and quantify knowledge equity, one of the two 2030 strategic directions, through the knowledge gaps index.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Participatory AI: A Scandinavian Approach to Human-Centered AI

    cs.HC 2025-09 conditional novelty 5.0 of 10

    Participatory AI applies five Scandinavian Participatory Design principles to four AI design challenges, illustrated through five diverse case studies.

  2. Filling in the Blanks? A Systematic Review and Theoretical Conceptualisation for Measuring WikiData Content Gaps

    cs.SI 2025-05 conditional novelty 5.0 of 10

    A systematic review of 45 studies on Wikidata content gaps yields a gap typology and a nine-dimension framework for measuring missing or biased knowledge.

  3. On the effective transfer of knowledge from English to Hindi Wikipedia

    cs.CL 2024-12 conditional novelty 5.0 of 10

    A retrieval, neutralization, and machine-translation pipeline can add relevant factual text to Hindi Wikipedia biography sections, but the claimed 65% and 62% gains are not fully supported by the reported evaluation.

Pith tools