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● Propaganda technique

Fear-Mongering

← from "fear" + "monger" (one who deals or trades in something), first recorded in English in 1915.

Someone blows a danger up past what the facts support, so you feel too scared to check before you react.

Also called: scaremongering

Emotional manipulation Modern & structural Multi-channel

Fear-mongering is the deliberate use of an exaggerated, distorted, or fabricated danger to push an audience toward panic and a specific reaction, skipping past the kind of evidence a real threat would actually require. What's being manipulated is the size or reality of the danger itself, not just the feeling of fear around a true one.

TL;DR

It's when someone makes a danger sound way bigger, more certain, or more imminent than it actually is, so you feel too scared to stop and check the facts before you react.

"...the action of intentionally trying to make people afraid of something..." (Cambridge English Dictionary, defining fearmongering)

Aliases

Scaremongering (most common in British and Commonwealth media; the two words are used interchangeably in journalism and everyday speech)

Scope

Psychological weapon Media tactic

Gets confused with

Appeal to fear, False urgency, Big lie (precise distinctions in Section 09).

Detectability 2 / 5

The claim itself is usually right there in plain sight, a headline, a speech, a post. But it has strong cover (exaggerated danger still sounds like someone "just raising a real concern") and fear is about as good as it gets at shutting down your own analysis in the moment, which is what keeps the score this low.

Can you see it?
4 / 5
The claim is usually stated outright in a headline, speech, or post, so the act itself is easy to point to.
Innocent cover?
4 / 5
An inflated danger still sounds like someone "just raising a real concern." You'd need to fact-check the actual numbers to know it's exaggerated, not just feel like it might be.
Blocks your thinking?
5 / 5
Fear is about as good as it gets at shutting down your own scrutiny in the moment. The more scared you are, the less you stop to check.

Primary bias

Threat bias (negativity bias toward danger): your brain evolved to pay extra attention to anything that might hurt you, because missing a real threat was historically far more costly than overreacting to a fake one. Fear-mongering hijacks that old survival setting with a manufactured threat, and your brain reacts the same way it would to a real one.

Secondary biases

Probability neglect: once you're scared enough, you stop weighing how likely something actually is and just react to how bad it would feel if it happened. A 1-in-a-million chance and a 1-in-10 chance can produce the same level of panic if the imagined outcome is dramatic enough.

Availability heuristic: a vivid, scary story is easier to remember than a boring statistic, so it starts to feel more common or more likely than it really is, just because it comes to mind so easily.

Mean world syndrome: heavy, repeated exposure to fear-based content makes people believe the world is generally more dangerous than the data shows, which makes the next fear claim land even more easily.

How it activates

1. Find an audience's existing anxiety or a danger that sounds plausible on its face.
2. Inflate it with exaggerated numbers, worst-case scenarios, or invented specifics.
3. Repeat the claim across several outlets or voices so it feels independently confirmed.
4. Offer a simple action (vote, purchase, or side to take) that promises relief from the fear.
5. The audience acts before there's been time to check whether the danger was real.

Susceptibility factors

Strong: existing anxiety or uncertainty, which gives the claim something real to attach to.

Strong: limited specific knowledge of the topic, which makes it harder to spot when a number or scenario is off.

Strong: time pressure. "Decide now" framing is often paired with fear claims specifically because it blocks the slow checking that would catch the exaggeration.

Moderate: echo-chamber exposure. Seeing the same claim from several seemingly independent sources makes it feel verified, even when those sources are just repeating each other.

What does not predict it

Education and intelligence alone. Research on the related illusory truth effect shows that familiarity, not intelligence, drives belief: a claim you've simply heard several times starts to feel true regardless of how smart you are or how carefully you normally think, which is exactly why repetition (see Big lie, Section 09) so often rides alongside fear-mongering.

Primary purpose

Mobilise and discredit. Fear-mongering is most often used to rally an audience toward a specific vote, purchase, or policy, while simultaneously discrediting whatever the manufactured danger is blamed on (an opposing group, a policy, a product, or a country).

Immediate effect

A spike in anxiety that narrows attention onto the perceived threat and away from carefully weighing the evidence behind it. This is sometimes called the "fear control" response: the emotion itself, not the facts, starts driving the decision.

Long-term effect

Persistent baseline anxiety, continued support for restrictive policies even after the original claim has been debunked, and a general sense that the world is more dangerous than it actually is.

Cui bono

Political campaigns chasing urgency votes, advertisers selling a solution to an invented or inflated danger, media outlets competing for attention, and authoritarian or authority-seeking actors looking to justify crackdowns or emergency powers.

Offensive or defensive

Mostly offensive: it's typically aimed at discrediting a target or rallying opposition to it, though it can also work defensively by exaggerating the danger of a proposed change in order to protect the status quo.

How it works

Setup: pick a real or plausible-sounding source of uncertainty. Delivery: amplify it with exaggerated, decontextualized, or fabricated specifics, usually repeated across multiple outlets or voices. Effect: the resulting panic narrows the audience's attention and triggers a "do something now" reflex that skips past fact-checking.

Preconditions

Some baseline uncertainty or distrust for the claim to attach to, limited specific knowledge of the real numbers involved, and exposure through a channel the audience already trusts.

When it fails

It tends to fail when the claim is easy to check and obviously false on its face, when the audience has direct lived experience that contradicts it, or when credible, fast fact-checking reaches the audience from a source they already trust. Repeated false alarms can also build fatigue, the "cried wolf" effect, where audiences start discounting the next warning, including real ones.

Amplifiers

Repetition across outlets, genuine crisis or uncertainty conditions, algorithmic amplification (fear and outrage drive engagement, so platforms reward this content), authority figures repeating the claim, and vivid visual or video media.

Natural habitat

Political speeches & ads Talk radio & cable news Social media Tabloid press Direct mail

Resources needed

Low to medium. A single viral post or speech can spark real fear fast. Sustained campaigns need more coordination to keep the claim circulating, but the barrier to entry for a single instance is low.

Scale dependency

Works in single instances (one viral claim can spike fear within hours), but a durable shift in belief or behavior usually depends on repetition across multiple sources so the claim starts to feel independently confirmed.

Digital mutation

Algorithmic feeds reward outrage and fear because both drive engagement, so a fear claim can reach mass audiences within hours, far faster than print-era fear campaigns ever could. The claim also mutates as it spreads: screenshots, translations, and remixes often outrun the fact-checks meant to catch them.

Deeper than politics

Using fear to persuade is ancient. The Greek philosopher Aristotle named pathos (role tag: philosopher, rhetorician), the appeal to emotion, as a core tool of rhetoric back in the 4th century BCE.

First documented use

The specific word "fearmongering" is much newer: the Oxford English Dictionary records its first use in English in 1915.

Named and theorised by

No single theorist coined the term; it grew up as journalistic and everyday language rather than an academic label. The underlying mechanism was studied more systematically starting in the 1950s by communication researchers Carl Hovland, Irving Janis, and Harold Kelley (role tag: Yale communication researchers) investigating "fear appeals," and later refined by Kim Witte's (role tag: communication scholar) Extended Parallel Process Model, which explains why a fear message sometimes changes behavior and sometimes just makes people tune out.

Tradition

Spans the Western rhetorical tradition (pathos), twentieth-century mass-media propaganda (war mobilization, drug-policy moral panics), and modern digital and algorithmic media.

Key evolution

Pre-mass-media: oral rhetoric and pamphlets. Mass-media era: newsreels, radio, and television moral panics (the 1930s anti-marijuana campaign covered in Section 07 is a textbook case). Social-media era: a claim can go viral and outrun fact-checkers within hours, instead of the days or weeks it once took to spread by print or broadcast.

Cross-cultural notes

The German-language propaganda research tradition treats this as its own standalone entry, Angsterzeugung (fear-generation), rather than folding it into a broader emotional-appeal category, which lines up with The Filter's decision to give it a dedicated page rather than treating it as a footnote to Appeal to fear.

"Reefer Madness" and the 1930s anti-marijuana campaign, USA, 1936–37
The U.S. Federal Bureau of Narcotics, under commissioner Harry Anslinger (role tag: U.S. federal narcotics commissioner), ran a campaign of deliberate exaggeration and misinformation about marijuana, including the 1936 propaganda film "Reefer Madness," which showed ordinary teenagers descending into hallucination, violence, and murder after a single use of the drug. Newspaper magnate William Randolph Hearst's (role tag: newspaper publisher) papers amplified the same lurid, unsupported claims to a national audience. Congress passed the Marihuana Tax Act of 1937, effectively criminalizing the drug, the year after the film's release. Sources: KQED, "Reefer Madness! The Twisted History of America's Marijuana Laws"; Wikipedia, "Reefer Madness".
Historical Drug policy USA 1936–1937
The 2018 migrant caravan claims, USA, 2018 midterms
In the weeks before the 2018 U.S. midterm elections, a Central American migrant caravan, at the time still hundreds of miles from the U.S. border and made up mostly of people on foot, became the subject of a wave of unsubstantiated claims: that "unknown Middle Easterners" and roughly 300 violent criminals were embedded in the group, and that financier George Soros was paying migrants to join it. Fact-checkers found the Department of Homeland Security's actual data only referred to people "along the caravan route," not within it, reporters traveling with the caravan found no evidence of the other claims, and the Soros video was filmed in a different country than claimed. Sources: NPR fact check; Snopes fact checks on the "300 convicts" and Soros claims; Human Rights Watch.
Contemporary Electoral USA 2018
India's 2019 "WhatsApp election"
During India's 2019 general election, political parties built campaign infrastructure directly on WhatsApp, reaching India's more than 200 million users on the app through paid, coordinated forwarding networks rather than organic sharing. A University of Oxford study found over a quarter of news links shared on pro-BJP Facebook pages were junk news, and over a third of images circulated in BJP WhatsApp groups were divisive or conspiratorial in nature; material of this kind had already been linked to real lynchings in India in prior years. WhatsApp itself launched a public "Share joy, not rumours" campaign and a fact-checking tipline in response. Sources: CBC; TIME; The Conversation / Queen Mary University of London; Mozilla Foundation case study.
Contemporary Digital / algorithmic India 2019

The pattern across all three: a real, ambiguous situation gets a specific, frightening, and checkable detail bolted onto it (a murder, a hidden criminal count, a secret funder), and that detail is what does the actual persuading, even though it's the part that turns out to be false or unsupported.

Individual
When a claim makes you feel a sudden spike of fear, pause before acting on it. Ask specifically: how big is this risk really, and compared to what? Look for the actual number, not just the scary description, before deciding anything.
Communicator
Lead corrections with the accurate number or fact first, then name the exaggeration, rather than repeating the scary claim in full before debunking it. Repetition itself can make a false claim feel more familiar and believable even inside a correction.
Systemic
Platform design that slows sharing on claims flagged as unverified, fast-response fact-checking partnerships during elections and crises, and media literacy education that specifically covers how fear changes decision-making, not just "check your sources" in the abstract.

Pre-bunking note

Inoculation-theory research (the same Cambridge-led work behind several other pages on this site) shows that briefly warning people about a manipulation technique before they encounter it, and giving them a small example to practice spotting, measurably reduces how much that technique works on them later. Fear-based claims specifically respond well to this because the warning itself doesn't carry the same emotional charge as the real claim, so it can be processed more calmly.

Backfire risk

Yes. Repeating a fear-mongering claim in detail in order to debunk it can backfire, since the claim itself can stick in memory better than the correction attached to it (the same illusory truth mechanism covered in Section 02). The safer pattern is to lead with the accurate fact and only briefly name the false claim being corrected.

Commonly paired with

Fear-mongering rarely works alone: it usually supplies the panic, and a related technique supplies the target or the deadline that channels that panic into a specific action.

Often precedes

Scapegoating and name-calling. Once an audience is frightened, it looks for someone to blame, fear-mongering supplies the panic, and a named target is often introduced right after to absorb it.

Often follows

A real, ambiguous, or uncertain event (an outbreak, an economic shock, an unfamiliar group arriving somewhere new) that creates exploitable uncertainty for the exaggeration to attach to.

Gets confused with

The closest relative, and worth being honest about: in some serious propaganda-detection research, the two are treated as essentially the same category. Where The Filter draws a useful, practical line is the factual basis of the danger itself. Appeal to fear can rest on a real, verifiable risk (a seatbelt ad, a cybersecurity warning) and still count as the technique if it's used to short-circuit evaluation of the actual proposal. Fear-mongering specifically adds exaggeration, fabrication, or distortion of the danger itself, so what's being manipulated is whether the threat is even real, not just how the fear around a real one gets used. It's a soft, practical distinction rather than a hard taxonomic wall.

False urgency manipulates the deadline or timing ("act before it's too late"). Fear-mongering manipulates the size or reality of the danger itself. The two frequently show up together, but the variable being distorted is different.

The big lie's defining trait is the audacity and scale of a single claim that feels too outrageous to be a deliberate lie. Fear-mongering's defining trait is the emotional payload (the panic) regardless of the claim's scale; a fear-mongering claim can be small, specific, and locally repeated rather than sweeping.

Primary sources

Kim Witte, "Putting the Fear Back into Fear Appeals: The Extended Parallel Process Model," Communication Monographs, 1992.
Oxford English Dictionary, entry for "fearmongering, n.," first recorded use 1915.
Tannenbaum et al., "Appealing to Fear: A Meta-Analysis of Fear Appeal Effectiveness and Theories," Psychological Bulletin, 2015 (PMC5789790).

Accessible reading

Propaganda Critic, "Fear" Beginner. Breakdown of fear appeals in propaganda, with worked examples.
Eric Schlosser, "Reefer Madness," The Atlantic, 1994 Intermediate. History of cannabis-policy fear campaigns.