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  <title>SocioLens — RO-LD10-05: Do AI-content labels change belief and sharing on a live social platform?</title>
  <subtitle>New versions of this research opportunity and changes to the claims it rests on.</subtitle>
  <link rel="self" type="application/atom+xml" href="https://sociolens-web.pages.dev/opportunities/ro-ld10-05/feed.xml"/>
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  <updated>2026-10-13T00:00:00Z</updated>
  <author><name>SocioLens</name></author>
  <entry>
    <id>urn:uuid:fa72f85a-1041-58e8-b506-994b1f91516b</id>
    <title type="text">Claim LD10-HQ-C24 revised to v1.1</title>
    <link rel="alternate" type="text/html" href="https://sociolens-web.pages.dev/claims/ld10-hq-c24/v1.1/"/>
    <updated>2026-10-13T00:00:00Z</updated>
    <summary type="text">What changed: The claim now says that generative AI systems already on the market before 2 August 2026 have until 2 December 2026 to meet the Article 50(2) machine-readable marking obligation, and cites Regulation (EU) 2026/1744 (the Digital Omnibus on AI) as a third Source. The 2 August 2026 date for the other Article 50 obligations is unchanged.

Why: A newer-evidence check on 13 October 2026 found that version 1.0 missed the Digital Omnibus on AI (Regulation (EU) 2026/1744 of 8 July 2026, published in the Official Journal on 24 July 2026, before the 25 September evidence cut-off), so a reader could take every Article 50 duty as binding from August. Recital 38 of the Regulation sets a four-month transitional period for providers who placed their systems on the market before 2 August 2026, which ends on 2 December 2026; that date is also stated by law-firm summaries (A&amp;O Shearman; Ropes &amp; Gray, 3 August 2026). The recital was read on EUR-Lex by an AI agent, not a person. The operative provision, Article 111(4) of Regulation (EU) 2024/1689 as inserted by Article 1, point (39)(b), of Regulation (EU) 2026/1744 (providers of AI systems generating synthetic content placed on the market before 2 August 2026 &quot;shall take the necessary steps in order to comply with Article 50(2) by 2 December 2026&quot;), was read by an AI agent in a secondary consolidated copy, and a second AI review run by the Owner located it in the EUR-Lex text.</summary>
  </entry>
  <entry>
    <id>urn:uuid:4c1fcfde-e59d-595e-a007-72c917c961bf</id>
    <title type="text">Research opportunity revised to v2: RO-LD10-05 — Do AI-content labels change belief and sharing on a live social platform?</title>
    <link rel="alternate" type="text/html" href="https://sociolens-web.pages.dev/opportunities/ro-ld10-05/v2/"/>
    <updated>2026-10-13T00:00:00Z</updated>
    <summary type="text">Literature check added: a second, deeper search for existing work, with its queries, new nearest work and limits. The question and verdict stand.</summary>
  </entry>
  <entry>
    <id>urn:uuid:23a9d22a-ce09-5bcc-8b6e-d4aea8dc85c9</id>
    <title type="text">Research opportunity revised to v3: RO-LD10-05 — Do AI-content labels change belief and sharing on a live social platform?</title>
    <link rel="alternate" type="text/html" href="https://sociolens-web.pages.dev/opportunities/ro-ld10-05/v3/"/>
    <updated>2026-10-13T00:00:00Z</updated>
    <summary type="text">Cost band corrected from &quot;low to medium&quot; to &quot;medium&quot;: participant payments of about US$10,000 to 25,000 need a grant or project budget, in line with other opportunities of that size. Found in the independent review of the opportunity-page fixes. The question, design, literature check and verdict are unchanged.</summary>
  </entry>
  <entry>
    <id>urn:uuid:977e0e48-b822-53f6-a34e-e69e07152284</id>
    <title type="text">New research opportunity: RO-LD10-05 — Do AI-content labels change belief and sharing on a live social platform?</title>
    <link rel="alternate" type="text/html" href="https://sociolens-web.pages.dev/opportunities/ro-ld10-05/v1/"/>
    <updated>2026-10-12T00:00:00Z</updated>
    <summary type="text">On a live, open social platform, when labels saying that a post is AI-generated, or that it is AI-generated and potentially misleading, are applied at random to real political and news posts in users&apos; feeds, how do they change actual reposts, likes and replies, and users&apos; belief in the labelled claims, compared with unlabelled posts?</summary>
  </entry>
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