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In a disaster, accurate information is the first step to help

Most polluted information is not wholly invented. It is true fragments placed in a false frame. This page sets out the filter to run before you share something: three types, seven patterns, four moves and a printable checklist.

During a disaster, official sources come first. The method on this page is for when you have time. In the first hours after a shock, do not stop to verify: call 112 or 101 Civil Defence, and rely on the announcements published by the Civil Defence Organisation and the Meteorology Department. Run the filter below in the calmer moments before you pass something on.

Definition

What is information pollution?

Information pollution is the umbrella term for content that contaminates an information environment — degraded, distorted or deliberately twisted.

It behaves like water pollution. Drinking water is not entirely poison; a small amount of the wrong substance makes it unsafe. That is why “is it a lie or not?” is usually the wrong question. The real one is: which part is true, and what frame has it been placed in?

A disaster accelerates all of this. Uncertainty is high, people are searching for news of their relatives, and everyone forwards what they have in good faith. In the field the cost is concrete: a team sent to the wrong address, fuel spent for nothing, a road needlessly congested, aid paid into a fraudulent account.

Distinctions

Three types — constantly conflated, yet very different

They differ along two axes: whether the content is true, and what intent sits behind it. Verification tools can only catch the first two; the third passes straight through.

Misinformation

False, but not meant to harm

The person sharing it intends no harm. Good faith is precisely what drives it: “people should know, it might help.” This is the most common type in a disaster.

Intent
None
Example
A forwarded chain saying “a major aftershock is expected tonight, stay out of buildings.” Nobody invented it; everybody passed it on.

Disinformation

A deliberate falsehood

It has a target, and often a budget and a schedule. After a disaster its most frequent form is a fake appeal for donations using the name of a real association.

Intent
Deliberate harm
Example
A fraudulent donation account opened in TAKDER's name. The association does not yet have an account that accepts donations; when it does, the details will be published only on this site.

Malinformation

True, and still harmful

The information is genuine; the harm comes from stripping it of context or releasing it without consent. This is the most insidious type, because no verification filter stops something that is not false.

Intent
Harmful, though the content is true
Example
Publishing the name or address of someone trapped under rubble, or footage of their relatives, without consent.

A “verified” stamp does not mean something was presented honestly. The third type lives in exactly that gap — and the harm it does to someone already living through trauma is often greater than the other two.

Field notes

The seven most common patterns

Beside each pattern is the verification move that catches it. The moves themselves are in the next section.

  • Stripping the context

    Lifted out of the surrounding talk, a sentence can end up saying the opposite. Most “official says X” headlines work this way. It is the most common pattern because it requires no invention at all.

    Move 4 · Trace it back

  • Old footage attached to a new event

    With earthquakes, fires and floods this happens almost automatically. The same clip of destruction may have been attributed to five different countries over a decade.

    Move 4 · Reverse image search

  • Manipulated numbers

    Percentages confused with absolute counts (“the risk doubled” may mean one person became two), charts whose axis does not start at zero, correlation presented as cause. Figures work because they switch off intuition.

    Move 4 · Trace it back

  • The citation chain trick

    Site A runs the story, B says “according to A”, C says “according to B”. Four steps later the original source has evaporated, yet the story now looks “widely reported”. Repetition is not verification.

    Move 2 · Investigate the source

  • Vague authority and earthquake “predictions”

    “Experts say”, “scientists have announced”, “sources report”. With no name, no institution and no link to the study, what you hold is a claim, not evidence. In the Eastern Mediterranean the most widespread version gives a date and a time: no scientific method today can state in advance the place, time and magnitude of an earthquake.

    Move 2 · Investigate the source

  • Headline and article disagree

    The headline is categorical; the sixth paragraph says “it was claimed that it may”. Most readers never reach the sixth paragraph, and the systems that distribute content know it.

    Move 1 · Stop and read to the end

  • AI-generated content

    Fake images, audio and video are now cheap and easy to produce. Audio is the most dangerous: it raises less suspicion than video, is harder to detect, and is very easy to quote.

    Move 3 · Find independent coverage

Method

Four moves: stop, investigate, compare, trace

The SIFT framework, widely used in verification training, has four moves. The order matters: doing the third before the second means hunting for the right answer among the wrong sources.

  1. Move 1

    Stop

    Did it make you angry, frightened, or say “oh my God”? That is exactly the moment to stop. Polluted information does not spread at random: because content that provokes emotion travels further, content is produced to provoke it. Make a strong reaction the trigger for your verification reflex.

  2. Move 2

    Investigate the source

    Do not judge the content from inside the content. The crucial point: research the site from outside it, not from its own “About us” page. This is called lateral reading. Open a new tab and search the publisher's name — who publishes it, and what has it got wrong before?

  3. Move 3

    Find better coverage

    Focus on the topic, not the claim. Are independent outlets reporting the same event? Ten accounts repeating the same sentence is not independence; independence means separate people looking separately and reaching the same conclusion.

  4. Move 4

    Trace it back to the original

    Get to the thing the story rests on: the institution's own announcement, the full report, the uncut recording, the first publication of the image. Usually the original turns out to be less dramatic than the story about it. That flatness is the normal result of verification.

In practice

Thirty seconds before you share

This list is for one piece of content. Tick it on screen or print it for the team noticeboard; nothing is saved, so each new item starts clean.

When you meet it

What to do when you see false information

  • Do not put the lie in the headline. Lead with the true information, mention the false claim briefly, then close with the truth again. A correction that repeats the lie in bold reinforces it for many readers.
  • Do not share it as a screenshot. Quoting it to say “look at this nonsense” carries it into your own circle. You show it to a hundred people who would never have seen it.
  • Send one sourced link. Rather than arguing, passing on the official announcement or the primary source is usually enough on its own.
  • Do not shame your relative. Whoever brought the false claim into the family group usually meant well. Shaming them does not make them check next time; it makes them go quiet.
  • If something circulating in our name looks wrong, write to us. Our announcements appear only on this site, on our news page and on our official social media accounts; the only valid source for bank details is this site.

Toolkit

Verification tools

Turkish-language

  • Teyit
    General fact-checking; signatory of the International Fact-Checking Network.
  • Doğruluk Payı
    Checks statements by officials against data.

International

  • AFP Fact Check
    Also publishes in Turkish.
  • Reuters Fact Check
    Strong on images and video.
  • Google Fact Check Explorer
    Search across published fact checks.

Images and video

  • Reverse image search
    Google Lens, TinEye and Yandex — results differ, so try all three.
  • InVID-WeVerify
    Splits a video into frames and searches each one.

Identity of the source

  • whois lookup
    A “news site” registered yesterday is a strong signal.
  • Wayback Machine
    Shows quietly edited headlines and deleted pages.

Closing

Two things worth remembering

Refuting costs far more than producing

The effort needed to refute nonsense is many times the effort needed to produce it. Trying to refute everything, one item at a time, is simply exhausting. What works is being selective about sources in the first place: defence is always cheaper than cleanup.

The real risk is cynicism, not scepticism

The most successful outcome of polluted information is not making you believe a particular lie — it is making you believe nothing at all. Arriving at “they all lie anyway” is the moment information pollution wins, because from there people hold on not to evidence but to whatever their own circle says. In a disaster, the price of that is an evacuation call nobody follows.

The healthy position is not “trust none of them” but trust in degrees, according to the quality of the evidence. You do not have to be certain; you do have to know how certain you are.

Training

Would you like us to run this session for your team?

Information pollution and verification is one module of the preparedness training we deliver to institutions. It can be adapted for schools, local authorities, workplaces and volunteer teams.

Request training Publications and Resources

References

Where the information on this page comes from

The concepts and methods below are adapted from the information disorder and verification literature. The field examples and communication choices on this page are the association's own; those are not sources but decisions.

The three types
Wardle, C. and Derakhshan, H. (2017). Information Disorder: Toward an Interdisciplinary Framework for Research and Policy Making. Strasbourg: Council of Europe. coe.int
The four moves
Caulfield, M. (2019). SIFT (The Four Moves). hapgood.us
Image and video verification
Silverman, C. (ed.). Verification Handbook: A Definitive Guide to Verifying Digital Content for Emergency Coverage. Maastricht: European Journalism Centre. verificationhandbook.com
Journalism and training framework
UNESCO (2018). Journalism, 'Fake News' and Disinformation: A Handbook for Journalism Education and Training. Paris: UNESCO. unesdoc.unesco.org
Information management in a crisis
World Health Organization. Infodemic management — handling information overload and misinformation during health crises. who.int
Official sources in North Cyprus
Civil Defence Organisation of North Cyprus. sivilsavunma.gov.ct.tr
Meteorology Department of North Cyprus — weather and warning announcements.

Links point to the publisher of each source; last accessed 10 September 2026. If you spot an error in a citation, tell us and we will correct it.