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  <title>SocioLens — LD-09: Individual gain, collective narrowing? Does AI make science, creative work and shared knowledge more alike?</title>
  <subtitle>New versions of this debate, revisions of its claims, Radar updates and research opportunities.</subtitle>
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  <updated>2026-10-16T00:00:00Z</updated>
  <author><name>SocioLens</name></author>
  <entry>
    <id>urn:uuid:af650d24-b506-51ca-bd4f-5f81d7448753</id>
    <title type="text">New research opportunity: RO-LD04-07 — Does handing work to the model cause both skill loss and sameness?</title>
    <link rel="alternate" type="text/html" href="https://sociolens-web.pages.dev/opportunities/ro-ld04-07/v1/"/>
    <updated>2026-10-16T00:00:00Z</updated>
    <summary type="text">When people learning a writing or analysis task are randomly assigned to use a language model that does the work for them, a model that only explains while they do the work, or no model, do the same participants who lose more skill once the model is removed also produce work more similar to each other&apos;s and to the model&apos;s, and does the way the model is used account for both?</summary>
  </entry>
  <entry>
    <id>urn:uuid:5ec1f2c4-a4cf-58b4-b044-3d7fa41c9eaf</id>
    <title type="text">New research opportunity: RO-LD11-07 — Does concentration at the model layer make apps fail alike? A test on China&apos;s register</title>
    <link rel="alternate" type="text/html" href="https://sociolens-web.pages.dev/opportunities/ro-ld11-07/v1/"/>
    <updated>2026-10-16T00:00:00Z</updated>
    <summary type="text">In China&apos;s register of generative-AI services, where every launched application must display the filed service or model it uses, how concentrated is applications&apos; dependence on a few base models, and on a fixed set of test cases are the errors, refusals and biased outputs of applications that share a base model more strongly correlated than those of applications built on different models, beyond the correlation already found between models from different providers?</summary>
  </entry>
  <entry>
    <id>urn:uuid:253bd482-a330-5e36-b2c1-9c151d23388b</id>
    <title type="text">New debate: LD-09 v0.1 — Individual gain, collective narrowing? Does AI make science, creative work and shared knowledge more alike?</title>
    <link rel="alternate" type="text/html" href="https://sociolens-web.pages.dev/debates/ld-09/v0.1/"/>
    <updated>2026-10-15T00:00:00Z</updated>
    <summary type="text">AI tools help individual scientists publish and be cited more, help individual writers produce work that readers rate higher, and give individual users quick answers. Do the same tools make the work of many people more alike, narrow what a field studies and thin out the shared stores of knowledge everyone draws on?</summary>
  </entry>
  <entry>
    <id>urn:uuid:1d5821d5-719c-5046-a400-ca415ea31180</id>
    <title type="text">New research opportunity: RO-LD09-01 — Does language-model use narrow what whole fields study, including the social sciences?</title>
    <link rel="alternate" type="text/html" href="https://sociolens-web.pages.dev/opportunities/ro-ld09-01/v1/"/>
    <updated>2026-10-15T00:00:00Z</updated>
    <summary type="text">Since language models became widely used in 2023, has the range of topics covered by papers from adopting researchers shrunk relative to non-adopters, at the level of whole fields, and does the answer differ between the natural and the social sciences?</summary>
  </entry>
  <entry>
    <id>urn:uuid:34fde32b-41e0-5e7c-99fb-2f8c18fc5f13</id>
    <title type="text">New research opportunity: RO-LD09-02 — Does the convergence caused by writing with AI persist or compound over months of use?</title>
    <link rel="alternate" type="text/html" href="https://sociolens-web.pages.dev/opportunities/ro-ld09-02/v1/"/>
    <updated>2026-10-15T00:00:00Z</updated>
    <summary type="text">When the same people write or brainstorm with a language model repeatedly over a term or a year, does the similarity of their work to each other&apos;s grow, stay level or fade, and does it carry over into what they write without the model?</summary>
  </entry>
  <entry>
    <id>urn:uuid:d74594a4-7006-5424-905a-516a67b50a2b</id>
    <title type="text">New research opportunity: RO-LD09-03 — Is the diversity of what reaches the market falling, or only diversity inside experiments?</title>
    <link rel="alternate" type="text/html" href="https://sociolens-web.pages.dev/opportunities/ro-ld09-03/v1/"/>
    <updated>2026-10-15T00:00:00Z</updated>
    <summary type="text">In markets for creative and intellectual work, such as self-published fiction, has the diversity of published works, of works that sell and of works that reach the top ranks changed since generative AI spread, beyond what changes in volume explain?</summary>
  </entry>
  <entry>
    <id>urn:uuid:305b7606-13f1-53a2-8e19-7ad30c399b59</id>
    <title type="text">New research opportunity: RO-LD09-04 — Does pooling different models keep restoring diversity as models converge?</title>
    <link rel="alternate" type="text/html" href="https://sociolens-web.pages.dev/opportunities/ro-ld09-04/v1/"/>
    <updated>2026-10-15T00:00:00Z</updated>
    <summary type="text">Across successive generations of language models from several providers, how much diversity of ideas does pooling models add compared with one model, and is that gain shrinking as models&apos; outputs and errors become more alike?</summary>
  </entry>
  <entry>
    <id>urn:uuid:6afdec96-31e7-56a9-9dbe-c70ea6d58bd5</id>
    <title type="text">New research opportunity: RO-LD09-05 — Does AI writing help pull writers toward Western styles in languages other than English?</title>
    <link rel="alternate" type="text/html" href="https://sociolens-web.pages.dev/opportunities/ro-ld09-05/v1/"/>
    <updated>2026-10-15T00:00:00Z</updated>
    <summary type="text">When people write in their own language, not English, with AI suggestions, do their texts move toward the style and content of English-language or Western writing, and does this differ by language and by how much text in that language the model was trained on?</summary>
  </entry>
  <entry>
    <id>urn:uuid:e9e68f77-2310-543f-a77f-0820c5e78602</id>
    <title type="text">New research opportunity: RO-LD09-06 — In science, is it the wording that converges or the ideas?</title>
    <link rel="alternate" type="text/html" href="https://sociolens-web.pages.dev/opportunities/ro-ld09-06/v1/"/>
    <updated>2026-10-15T00:00:00Z</updated>
    <summary type="text">In scientific papers and proposals written with language models, how much of the measured rise in similarity is shared wording and style, and how much is shared research questions, methods and claims, when the two are measured separately and validated against expert judgement?</summary>
  </entry>
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