Disinformation vs Misinformation: Understanding the Core Difference

The dividing line between misinformation and disinformation is intent. Misinformation flourishes by accident: a well-meaning customer shares an outdated product recall notice, a mistranslated statistic goes viral, or a rumor spreads without any coordinated effort to harm. In these cases, the person sharing genuinely believes the content is true and has no desire to cause damage.

Disinformation, on the other hand, is orchestrated. Imagine a malicious competitor seeding a fake CEO video onto anonymous message boards, or a coordinated forum campaign using cherry-picked “evidence” to fuel a brand-hating identity group. The creators act with a calculated objective to disrupt, delegitimize, or polarize.

The academic definition of disinformation reinforces this intentional architecture. A 2022 study by Ruiz & Nilsson defines it as “an adversarial campaign that weaponizes multiple rhetorical strategies and forms of knowing—including not only falsehoods but also truths, half-truths, and value-laden judgments—to exploit and amplify identity-driven controversies.”

This means the creation is strategic and the deception is layered; it is not simply a lie but a narrative engineered to resonate with a target group’s grievances and sense of belonging. When a regular social media user later shares that disinformation, genuinely believing it to be accurate, they are now spreading misinformation personally, but they are simultaneously participating in a larger disinformation campaign.

For a brand, tracing this thread back to the original creator’s intent is crucial, because the motivational engine behind the content changes everything about how an audience will receive a correction.

Example of Misinformation vs Disinformation in the News

Suppose a local news account posts an old image during a developing emergency and identifies it as a photograph from that day. The account may have relied on an incorrect submission or failed to check the image’s date.

If the error was genuine, the post is misinformation. A later correction may clarify the record without changing the original classification.

Now consider a separate actor who deliberately selects the same old image, removes its original caption, and presents it as evidence of a current event in order to provoke fear. The image and the surrounding claim are being used as disinformation. The outward appearance may be similar, but the second case includes a purposeful attempt to mislead.

News consumers and publishers also encounter mixed cases. A person may initially share a false report by mistake, then receive reliable evidence that it is false and continue distributing it without acknowledgment. The first act may be misinformation; continued knowing distribution can take on the character of disinformation.

Disinformation and Misinformation vs Malinformation

Malinformation is distinct because the material may be genuine, yet it is used in a way intended to mislead, expose, intimidate, or harm. Examples include:

• Publishing private information for an improper purpose

• Deliberately changing the context of an authentic image

• Presenting a real statement as evidence of something it does not establish

The problem lies in the use and framing, not necessarily in the original accuracy of the material.

The three categories can overlap during a single information event. Genuine information may be selectively released as malinformation, surrounded by invented claims that constitute disinformation, and then repeated by well-intentioned readers as misinformation. Treating the categories as rigid containers can therefore obscure how content changes as it moves between actors and platforms.

The comparison below is useful for analysis, but classification should remain evidence-based. A claim should not be labeled disinformation merely because it is unpopular, emotionally charged, or later shown to be wrong. Similarly, the label malinformation requires attention to whether genuine material was intentionally exposed or reframed in a harmful manner.

Brand Reputation Management: Handling False Information Campaigns

Correctly identifying whether a crisis stems from misinformation or disinformation alters a brand’s entire strategic response. If the spread is misinformation, the audience is often not as hostile; they are simply misinformed.

Here, a brand can publish a transparent correction, express genuine empathy for any confusion, and clarify the facts. Trust can often be restored relatively directly because the audience’s motivation is accuracy, not grievance.

Disinformation campaigns, however, follow a different logic. The narrative is identity-based and adversarial. The story isn’t really about the supposedly false fact; it’s about belonging, grievance, and group identity.

In these environments, a dry fact-check often backfires or is simply ignored. The aforementioned study by Ruiz & Nilsson demonstrated that disinformation resists fact-checking because it stokes identity work through grievance (pathos) and group identification (ethos).

When a brand issues a purely factual rebuttal, it can feel to the disinformation audience like an attack on their entire identity group, not a helpful correction. The response to disinformation, therefore, must address the emotional and identity layers that hold the narrative together.

Validating a community’s legitimate underlying concerns while carefully separating them from the manipulated narrative that has been woven around them can begin to loosen the adversarial grip that makes fact-checking alone so ineffective.

How Disinformation Erodes Confidence Without Needing to Convince

Disinformation does not have to fool people completely to damage a brand. Even when an audience suspects a story is false, the residue of doubt can suppress engagement and loyalty.

A 2020 study by Vaccari & Chadwick, which examined public reactions to synthetic political videos (deepfakes), found that people are more likely to feel uncertain than to be outright misled by such content. That resulting uncertainty, in turn, reduces trust in news on social media.

A deepfake CEO “leak,” a fabricated internal memo, or a synthetic video crisis can leave customers thinking, “That might be fake, but can I really be sure?” This single question mark is enough to weaken the perceived safety of a brand touchpoint, even when no outright deception is believed.

Uncertainty becomes a threat multiplier in marketing, subtly scaling down the consumer’s willingness to advocate, purchase, or engage.

Why People Share Fake News: The Psychology Behind Misinformation

Brands often assume that labeling a claim as “false” or highlighting an untrustworthy source will stop people from sharing damaging content. Nonetheless, this is not always the case.

Four studies involving a total of 2,634 participants explored what actually predicts the self-reported likelihood of spreading false information online. The strongest predictors were not source authoritativeness or consensus indicators like how many others had shared the material.

Instead, sharing likelihood was primarily driven by the perceived truth of the content, its consistency with pre-existing attitudes, and the person’s prior familiarity with the material. Digital literacy had little effect, and personality and demographic variables showed only weak and inconsistent associations.

Thus, a brand’s fact-check or warning label may do very little to reduce sharing if the false narrative already fits the audience’s worldview. This insight shifts the strategic focus from reactive debunking toward a proactive building of authentic familiarity.

When brands engage in long-term values-aligned storytelling that shapes positive pre-existing attitudes and makes truthful narratives familiar, they create a kind of psychological inoculation. People are far less likely to spread harmful content when their internal compass already points toward truthful, brand-consistent information that feels known and safe.

This aligns with broader behavioral economics patterns, where people favor information that confirms what they already trust, not necessarily what is authoritative.

Strategies Behind Disinformation Campaigns

Disinformation campaigns are also about architecture, meaning how content is packaged and how it moves across platforms to filter out skepticism.

Researchers Krafft & Donovan conducted a case study of a contested rumor that crossed anonymous message boards, the conservative media ecosystem, and other platforms. The researchers observed substantial skepticism against the false narrative even as it formed, yet the rumor still transformed into a damaging campaign. Therein, two design tactics allowed the disinformation to survive and spread despite ongoing challenges.

1. The first tactic is the evidence collage: image files that aggregate multiple pieces of “positive evidence” into a single shareable asset. Even when each piece is out of context or easily debunked, the collage format makes the claim look well-supported and difficult to fact-check in a passing glance. A brand-damaging rumor might appear credible because it compiles screenshots, partial quotes, and out-of-context data points into one visual, creating an illusion of consensus.

2. The second tactic is platform filtering. As a claim jumps from anonymous message boards to more mainstream platforms, skeptical counterpoints and debunking context are systematically stripped away. By the time the narrative reaches a broad audience, it has been laundered of the very contradictions that might otherwise slow its spread. What emerges is a cleaner, more persuasive false narrative.

For brands, they must trace how a rumor mutates as it moves: a decontextualized snippet on a mainstream social feed rarely reveals the messy, contested origins it had on a more obscure forum. Countering the narrative then requires restoring that lost context, not simply refuting the final, sanitized claim.

Do Warning Labels Stop False Information?

A popular and seemingly straightforward countermeasure is the use of “false” or “disputed” warning labels on digital content. The public conversation often treats these as a proven solution, but the scientific picture is only beginning to form.

Mende et al. conducted a systematic literature review and developed a prescriptive generative framework to guide future research. The framework suggested that label characteristics (e.g., design, source, timing) interact with contextual and consumer factors to influence affective and cognitive responses, which may then shape attitudes, intentions, and behaviors toward both the labeled content and the label itself.

The review calls for rigorous testing of which combinations actually work, for whom, and under what conditions. Because the framework is forward-looking, brands and platforms are advised to treat warning labels as a promising but unvalidated direction.

Any marketing strategy that leans heavily on labels alone today must acknowledge that the evidentiary foundation is still under construction. The risk of assuming efficacy too early is that a false sense of security could allow damaging content to spread while decision-makers believe the problem has been solved.

A Brand Safety Playbook: Responding to Misinformation and Disinformation

1. Diagnose intent first. Look for signs of an adversarial campaign: Are identity grievances being weaponized? Is there coordinated seeding of content across obscure platforms before it hits mainstream channels?

2. For misinformation: Correct transparently and empathetically. People are usually receptive to clear, non-judgmental facts when they are emotionally neutral.

3. For disinformation: Go beyond facts. Engage the underlying identity and emotional concerns, because a dry debunk can feel like an attack on the group. Validate where possible, then carefully uncouple the manipulated narrative from legitimate grievances.

4. Prepare for the uncertainty effect. If a deepfake or synthetic media attack appears, flood the information space with proactive, consistent, high-authenticity content. This reduces the doubt that lingers even when the audience is not “fooled.”

5. Map and track cross-platform contamination. Watch for evidence collages and decontextualized snippets harvested from fringe platforms. When countering, focus on restoring the missing context rather than simply denying the snippet.

6. Don’t pin all hopes on warning labels. They occupy a prominent place in public discussion, but the comprehensive model of their impact is still being developed, and rigorous evidence of what works is pending.

7. Build pre-existing positive attitudes, the strongest shield. Since sharing is driven by perceived truth, attitude consistency, and familiarity, long-term brand authenticity and values-aligned storytelling create a durable protective buffer that no one can fact-check into existence overnight.

Why Intent Is the Core of Modern Brand Safety

The critical insight for any brand communicator is that intent, not content alone, determines the right crisis response.

Misinformation spreads from honest confusion and responds to transparent correction, while disinformation weaponizes identity and grievance in ways that make simple fact-checking ineffective. Recognizing this distinction allows marketers to deploy empathy for accidental errors and emotional, identity-aware strategies for coordinated attacks.

The research makes clear that disinformation damages trust not just by fooling people, but by seeding lingering uncertainty that erodes confidence even when audiences suspect deception. Long-term brand safety depends less on reactive labeling or debunking, and more on building authentic familiarity and positive attitudes before a crisis ever emerges. When audiences already trust a brand's genuine narrative, they have a psychological anchor that makes manipulated stories less likely to stick.

Protecting brand reputation requires deep psychological insights. Discover how integrating a consumer neuroscience division can transform your agency's research, providing clients with objective, biological proof of campaign impact.

References

1. Diaz Ruiz, C., & Nilsson, T. (2023). Disinformation and echo chambers: How disinformation circulates on social media through identity-driven controversies. Journal of public policy & marketing, 42(1), 18-35. https://doi.org/10.1177/07439156221103852

2. Vaccari, C., & Chadwick, A. (2020). Deepfakes and disinformation: Exploring the impact of synthetic political video on deception, uncertainty, and trust in news. Social media+ society, 6(1), 2056305120903408. https://doi.org/10.1177/2056305120903408

3. Buchanan, T. (2020). Why do people spread false information online? The effects of message and viewer characteristics on self-reported likelihood of sharing social media disinformation. Plos one, 15(10), e0239666. https://doi.org/10.1371/journal.pone.0239666

4. Krafft, P. M., & Donovan, J. (2020). Disinformation by design: The use of evidence collages and platform filtering in a media manipulation campaign. Political Communication, 37(2), 194-214. https://doi.org/10.1080/10584609.2019.1686094

5. Mende, M., Ubal, V. O., Cozac, M., Vallen, B., & Berry, C. (2024). Fighting infodemics: Labels as antidotes to mis-and disinformation?!. Journal of Public Policy & Marketing, 43(1), 31-52. https://doi.org/10.1177/07439156231184816

Frequently Asked Questions

What is the main difference between misinformation and disinformation?

Misinformation is false or inaccurate content shared without harmful intent, while disinformation is deliberately crafted deception used as part of an adversarial campaign to mislead or damage. The dividing line between them is intent—whether the creator aims to harm or not.

Why does a simple fact-check often fail to stop a disinformation campaign?

Disinformation targets group identity and grievance, not just factual accuracy. A dry fact-check can feel like an attack on the audience's identity group, making them reject the correction rather than accept it.

How does disinformation damage a brand even if people suspect it is fake?

Disinformation breeds a generalized uncertainty that silently erodes trust. Even when an audience doubts a story, the lingering doubt can reduce their willingness to advocate for, purchase from, or engage with the brand.

What are two key tactics that help disinformation narratives survive?

The first is the "evidence collage," which combines multiple out-of-context pieces into a shareable image that looks well-supported. The second is platform filtering, where skeptical counterpoints are stripped away as the narrative moves from obscure forums to mainstream platforms.

Are warning labels like "false" or "disputed" a proven solution against false information?

No, the comprehensive model of warning labels' impact is still being developed, and rigorous evidence of what works is pending. Brands should not assume labels alone are a reliable solution, as the evidentiary foundation is still under construction.

What is the strongest factor that predicts whether someone will share false information online?

The strongest predictors are the perceived truth of the content, its consistency with the person's pre-existing attitudes, and their prior familiarity with the material. Digital literacy and source authority have much less effect on sharing likelihood.

What is the most durable long-term strategy for protecting a brand against disinformation?

Building pre-existing positive attitudes and authentic familiarity through values-aligned storytelling creates a protective buffer. People are far less likely to spread harmful content when their internal compass already points toward truthful, brand-consistent information.

How should a brand respond differently to misinformation versus disinformation?

For honest misinformation, a brand can publish a transparent, empathetic correction because the audience is receptive to facts. For disinformation, the response must address emotional and identity layers, validating underlying concerns while separating them from the manipulated narrative.