DigitalMANIPULATIVE

Attribution Laundering

What it is

An unsupported or heavily hedged claim about who is behind something gains apparent solidity by being repeated up a chain of outlets, each citing the last, until the original caveats and the original thin evidence are out of sight.

How it works

Readers judge a claim partly by how many reputable places carry it, assuming each checked independently. In practice outlets often cite one another. A researcher says an account network may be consistent with a state actor; a blog reports researchers link the network to the state; a newspaper cites reports; a politician cites the newspaper; a later article cites the politician. Each hop is individually defensible, since each accurately reports that someone said it, yet the hedges fall away and the number of sources appears to grow while the evidence stays fixed at one. Anonymous official sourcing speeds the process, because an unnamed official familiar with the matter cannot be asked what confidence level they meant. The pattern can be engineered deliberately, by seeding a claim with a friendly outlet in order to quote it back, or it can emerge from ordinary deadline journalism. Either way the defensive question is the same: how many independent bodies of evidence exist, as opposed to how many mentions?

Real-world examples

  • •In 2018, claims that particular hashtags were Russian-driven travelled from the Hamilton 68 dashboard to news reports to statements by members of Congress, who then wrote to Twitter and Facebook citing the coverage; Twitter's own review reportedly found the activity was mainly domestic.
  • •Before the 2003 Iraq war, claims sourced to the Iraqi National Congress and a single informant known as Curveball were reported by major newspapers, and administration officials then cited that press coverage on television as corroboration — coverage the New York Times criticized as insufficiently rigorous in its May 2004 editors' note, which said exile claims were often eagerly confirmed by U.S. officials.
  • •In October 2020, a public letter by 51 former U.S. intelligence officials said the Hunter Biden laptop story had the classic earmarks of a Russian information operation while stating they had no evidence; many headlines and political statements relayed it as a finding that the story was Russian disinformation.
  • •State media use the same ladder in the other direction: a claim of Western orchestration of a protest appears on a fringe site, is quoted by a larger outlet as foreign experts say, and is then cited by officials as widely reported.

Ethical guidelines

  • ●When repeating an attribution, carry the original confidence language and the original source with it.
  • ●Do not cite coverage of your own claim as independent support for it.
  • ●Journalists should ask anonymous officials what confidence level applies and print the answer.
  • ●Correct downstream when the upstream claim is withdrawn or weakened.

How to defend against it

  • ►Trace the claim upstream (the T in Caulfield's SIFT): click through the citations until you reach the party that actually examined evidence. Count those, not the articles.
  • ►Compare the wording at the origin with the wording in the headline. Look for lost words such as may, consistent with, some, or moderate confidence.
  • ►Be alert to circular sourcing: an official citing press reports that themselves cite unnamed officials.
  • ►Ask what the original source said it could not determine.
  • ►Give less weight to claims whose only named evidence is that others have reported them.

References

  1. The Editors, The New York Times (2004). From the Editors; The Times and Iraq. The New York Times, May 26, 2004
    The newspaper's own acknowledgment that pre-war claims from interested sources were insufficiently qualified and were often eagerly confirmed by officials.
  2. Office of the Director of National Intelligence (2015). Intelligence Community Directive 203: Analytic Standards. ODNI, January 2, 2015
    The professional standard that analytic products must describe source quality and express uncertainty, which is what is lost when claims are relayed.
  3. Caulfield, M., & Wineburg, S. (2023). Verified: How to Think Straight, Get Duped Less, and Make Better Decisions about What to Believe Online. University of Chicago Press
    The SIFT practice of tracing claims to their original context.
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