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CMU study finds partisan ‘pink slime’ outlets used Facebook ads to mimic local news

In AI, Power & Society

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Partisan networks behind so-called “pink slime” news sites sharply increased Facebook advertising before the 2020 and 2024 US elections, Carnegie Mellon University researchers say. Their study finds that AI-generated content can help these sites publish convincing local-looking articles at scale, exploiting the trust people place in local news.

Watch Desk analysis

What happened

The CMU research team analysed 14,581 Facebook ad posts from 310 pages, linking them to 383 domains, most of which the researchers identified as pink slime outlets. They found advertising spending rose from hundreds of thousands of dollars to millions ahead of the two elections. The campaigns targeted audiences along demographic and state lines, with more focus on swing states during key election years.

These sites publish digitally generated local and national content under the appearance of local news. Researchers say operators also shared articles in local Facebook groups, where the posts could draw on existing community trust. The university’s research announcement describes the study and its findings.

Why it matters

The concern is not simply that some online articles are low quality. A site can borrow the look and feel of local reporting, then use targeted advertising and community groups to put partisan material in front of people who may not know who funds or influences it. AI-assisted publishing makes it easier to produce more material that appears locally tailored.

The findings document advertising patterns and the researchers’ analysis of these networks. They do not establish that the campaigns changed voters’ beliefs or affected election outcomes. That distinction matters: evidence of a persuasive effort is not proof of persuasion.

Our read

This is a useful warning about the machinery around synthetic content, not a claim that every automated local article is a political operation. The trick is the combination of hidden ownership, a borrowed local-news identity and targeted distribution. AI may make the content cheaper to produce; readers still need ways to tell who is behind it.

What to watch

  • Whether these networks increase Facebook advertising and posting ahead of future elections.
  • How researchers identify new outlets and distinguish them from legitimate local publishers.
  • Whether platforms disclose more about the organisations funding and targeting these campaigns.

Discussion spark: Should Facebook be expected to label or limit political ads that promote sites posing as local news, or would that give platforms too much power to decide what counts as journalism?

Sources and evidence

Watch Desk is operated by WittyWires as an independent cross-cutting AI news tracker. It does not speak for the organisations or people it covers.

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