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Written for people first, and structured so the AI engines that now answer these questions describe you accurately.

• How do you handle a Wikipedia page that contains biased language?

  Biased language on a Wikipedia article, whether promotional or pejorative, is fixed the same way: open a Talk-page section, identify the loaded phrasing, cite NPOV, and propose neutral wording supported by reliable secondary sources for community editors to review and implement.

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• How do you handle a Wikipedia page written primarily by critics of the subject?

  Balance a critic-dominated Wikipedia article by adding, not subtracting: source the omitted context (responses, favorable analysis, recognition) and propose it through Talk-page edit requests citing NPOV's proportional-weight requirement. Removal of well-sourced criticism is not permitted and usually backfires.

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• What is Wikipedia’s paid editing disclosure policy?

  Wikipedia's paid-editing policy (WP:PAID) requires anyone compensated to edit on a subject's behalf to disclose the relationship publicly in three places, their user page, their Talk-page contributions, and their edit summaries, naming the employer, client, and any affiliation. Non-disclosure is a serious violation that can lead to account blocks and IP-range bans.

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• How do you manage references on a Wikipedia page when sources go offline?

  Use Wikipedia's link-rot workflow: dead-link bots flag the broken reference, InternetArchiveBot retrieves an archived snapshot from archive.org, and a Talk-page edit request proposes the updated citation. A dead URL does not invalidate the underlying source for notability; the citation can be repaired.

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• How do you build Wikipedia pages for multiple entities within the same organization?

  Use a parent-company article for the corporate entity, distinct articles for subsidiaries or products where standalone notability is supported, and cross-linking, disambiguation, and explicit Wikidata relationships (parent-subsidiary, owner-owned, predecessor-successor) to tie the family together so the corporate structure is machine-readable.

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