A screenshot arrives without its original post.
The words are real.
The context is missing.
Someone shares it to warn others. Someone else shares it to damage a person. A third account adds a false caption. By the time the image reaches a newsroom or public agency, the question "Is this true?" is no longer sufficient.
True in what sense?
Who created it?
Who changed it?
Why was it shared?
What happened to the context?
Claire Wardle's work has spent much of the last two decades inside precisely this terrain.
Current research identity
As of September 2026, Claire Wardle is Associate Professor in the Department of Communication at Cornell University.
Her Cornell profile describes research on user-generated content, verification, misinformation and contemporary information ecosystems, with a current emphasis on community information needs and the capacity of trusted institutions to respond effectively.
Wardle has also worked across journalism, civil society, public health and international policy. She co-founded First Draft, an organisation that developed verification and misinformation resources for journalists and researchers, and later co-founded the Information Futures Lab at Brown University.
That cross-sector history matters because her contribution has never been only theoretical.
It has also been about what people should do when information is circulating faster than institutions can understand it.
Information disorder gave a messy field a shared vocabulary
Wardle and Hossein Derakhshan's 2017 Council of Europe report, Information Disorder: Toward an Interdisciplinary Framework for Research and Policy Making, became a widely used reference point.
Its best-known distinction separates three forms of problematic information:
Misinformation is false information shared without an intention to cause harm.
Disinformation is false information knowingly produced or shared in order to cause harm or achieve strategic ends.
Malinformation uses genuine information in a harmful way, often by stripping it from context or exposing material that was not intended for public circulation.
The framework helped move public discussion beyond the blunt phrase "fake news."
The categories describe different problems
The distinction matters because response depends partly on mechanism.
Someone who shares a false health claim because they sincerely believe it may require different intervention from an organised actor who fabricates evidence deliberately.
A real private image released to humiliate someone is different again.
Lumping these cases together hides differences in intent, falsity, context, distribution and harm.
Wardle and Derakhshan's framework gave policymakers, journalists and researchers a practical way to separate them.
That usefulness explains much of its influence.
A useful taxonomy is not a perfect measurement system
The categories also have limits.
Intent is often difficult to observe.
A researcher may know that a claim is false without knowing whether the person who shared it believed it.
A coordinated campaign can contain participants with different motives.
An accurate document can be selectively edited, strategically timed or misleadingly framed without fitting neatly into a single box.
And harm can emerge without being intended.
These complications do not make the taxonomy useless.
They mean that category assignment often contains inference.
A rigorous Institute should label that inference rather than pretending every piece of content carries its motivational history on the surface.
Malinformation exposes the edge of the framework
Wardle's category of malinformation is especially revealing.
It draws attention to a fact that falsehood is not the only way information causes harm.
Authentic information can be weaponised through context collapse, targeted exposure, harassment or privacy violation.
That insight is important.
But malinformation has a thinner and less standardised empirical literature than misinformation and disinformation.
The Institute therefore keeps malinformation as a qualified reference concept rather than treating it as an equally mature psychological construct.
Wardle's profile is a good place to see why the distinction can be analytically useful even when operationalisation remains difficult.
Verification was part of the work before the taxonomy
Wardle's earlier and continuing work on user-generated content and verification addressed a practical journalistic problem: how can a newsroom authenticate material when eyewitness images and videos arrive through social platforms?
Verification requires more than visual intuition.
It can involve tracing an upload to its earliest source, checking metadata when available, geolocating imagery, comparing weather or landmarks, contacting the uploader and triangulating with independent evidence.
These practices connect directly to the Institute's entries on information provenance, source credibility and lateral reading.
They also make a deeper point.
Discernment is procedural.
Knowing that verification matters is different from knowing how to verify.
First Draft helped make those procedures teachable
Through First Draft, Wardle and colleagues produced training, guides and collaborations for journalists, civil-society organisations and researchers responding to misleading content.
The work popularised verification workflows and encouraged practitioners to pay attention not only to false claims but to patterns of amplification and participation.
This is a significant contribution to public information practice.
It should still be evaluated with appropriate evidence boundaries.
A widely adopted newsroom workflow is not automatically a validated psychometric intervention.
Practice knowledge and experimental evidence answer different questions.
The 2017 framework also modelled information as a process
One of the report's deeper contributions was to move attention from isolated content to agents, messages and interpreters, and to stages of creation, production and distribution.
That process view helps explain why the same piece of information can change category or function as it moves.
A fabricated message can be produced strategically, then sincerely reshared by people who believe it.
A true report can be reframed in a misleading caption.
A joke can be detached from its original context and interpreted as factual reporting.
The information object stays partly the same while its epistemic role changes.
Wardle's recent work moves further toward ecosystems
Her current Cornell research emphasizes information ecosystems and community information needs.
This is a meaningful evolution.
A field focused entirely on detecting bad content can miss why people sought that content, what information was unavailable, which institutions had lost trust and which communities were poorly served.
In 2025, Wardle and David Scales argued in Nature Human Behaviour for a community-centred model for responding to potential information harms.
Their proposal criticises overreliance on social listening alone and calls for systems that integrate online and offline information while placing community participation at the centre.
That shift is important for Inner Technology because it moves from correction toward infrastructure.
An information vacuum is also an epistemic condition
If a community cannot get timely, understandable information from institutions it relies on, rumours do not circulate in an empty space.
They answer questions.
They offer explanations.
They create social coordination where official communication may be absent, delayed or inaccessible.
This does not make false information harmless.
It changes the intervention question.
Instead of asking only "How do we suppress the rumour?" an institution may also need to ask "What legitimate information need is not being met?"
That is a more difficult question because it can implicate the institution itself.
Trust cannot simply be demanded back
Wardle's ecosystem approach sits close to epistemic trust.
Institutions often respond to misinformation by asking people to trust authoritative sources.
But authority is not experienced abstractly.
It is built through histories of reliability, access, responsiveness and respect.
A technically accurate message from an institution can still fail in a community that has good reasons to expect neglect.
Conversely, local intermediaries may have strong relational trust without having strong evidence practices.
Information resilience therefore requires both epistemic quality and relational legitimacy.
Neither can substitute completely for the other.
The framework influenced European policy language
The Council of Europe commissioned the 2017 information-disorder report in response to concern about disinformation and digitally mediated public communication.
That European provenance makes Wardle's work especially relevant to the Institute's Northern European knowledge architecture.
But the value is not that Europe adopted a vocabulary.
The value is that the report created a bridge between communication research, journalism, platform governance, policy and education.
It made information disorder a systems question before that framing became commonplace.
Classification can itself become a distraction
There is a risk in any successful taxonomy.
Once categories become familiar, people can spend more time deciding which label applies than investigating the underlying mechanism.
Is a misleading true claim malinformation?
Is satire that is misunderstood misinformation?
What if a creator intends financial gain rather than direct harm?
Those questions can be useful, but they should not become an end in themselves.
The Institute's preferred use of Wardle's framework is diagnostic rather than ceremonial.
Use the labels when they clarify intervention, responsibility or evidence.
Drop them when they obscure the more important question.
AI increases the speed of context loss
Generative systems make it easier to transform information across modalities.
A real interview can become a synthetic summary. A photograph can be relabelled. A long report can be reduced to a confident claim without its uncertainty. A voice can be cloned. A correction can be paraphrased until its source disappears.
The result is not only more false content.
It is more provenance ambiguity.
Wardle's long emphasis on verification becomes newly important here.
When content is cheap to transform, following information back toward sources and context becomes a central epistemic practice.
Harm cannot be read directly from a content label
A false post with ten views and a true private record leaked to millions do not have the same harm profile.
Wardle's taxonomy helps identify different kinds of information disorder, but the label alone does not measure consequence.
A fuller harm analysis can ask:
- who was exposed;
- whether the target was identifiable or vulnerable;
- how widely the material travelled;
- whether it changed behavior;
- whether correction or context was available;
- whether exposure created durable reputational, physical or institutional effects.
This keeps the field from assuming that falsity is the only or best proxy for harm.
Community information needs require methods of their own
A community-centred model sounds humane, but it creates methodological questions.
Who counts as the community?
Whose voices are easiest to collect?
Are online comments representative of people who do not post?
Can institutions distinguish a genuine information gap from coordinated demands designed to consume attention?
Wardle and Scales' 2025 proposal is valuable partly because it invites these questions rather than pretending social listening is sufficient.
For the Institute, the next research layer should include participatory methods, local intermediaries, qualitative evidence and explicit safeguards against treating the loudest digital traces as the whole population.
Verification has a stopping problem
Every verification process could continue indefinitely.
A journalist can trace an image to an earlier upload, then investigate the uploader, then investigate the location, then question the source who confirmed the location.
At some point, action must occur.
This means verification is partly a decision under uncertainty.
The threshold should depend on stakes. A low-stakes cultural reference may tolerate residual uncertainty that would be unacceptable before publishing an allegation about an identifiable person.
Wardle's practice-oriented work is especially useful when translated into such threshold thinking: verification is not ritual completeness; it is evidence gathering proportionate to consequence.
Synthetic content blurs the old category boundaries
A generated image can depict an event that never happened, but use a real person's likeness and be circulated alongside an authentic quote. A synthetic audio clip can be embedded inside a mostly accurate news package. A real photograph can be extended or altered only at the edges.
These hybrids make binary labels harder.
The more useful question may be provenance: which components are authentic, which are generated, what transformations occurred and what claim is the composite being used to support?
This is why Wardle's movement from content labels toward information ecosystems remains relevant as generative media expands.
Information systems need indicators beyond volume
A dashboard can count mentions of a rumour and still miss the community's actual information problem.
High volume may reflect journalists discussing a claim, critics debunking it or automated accounts repeating it. Low volume may conceal serious harm in a small community.
Wardle's ecosystem orientation suggests a richer monitoring frame: unmet questions, source reach, trust relationships, speed of institutional response, pathways of amplification and evidence of concrete harm.
Such indicators are harder to collect than keyword counts.
They are also less likely to confuse visibility with importance.
Community-centred response includes a power question
Inviting communities into information-response systems is not automatically participatory if institutions define the questions, select the representatives and retain all decision authority.
A genuinely community-centred model needs clarity about who can set priorities, challenge institutional assumptions and see how information is used.
This introduces governance alongside communication.
For the Institute, that is a useful reminder that epistemic resilience is partly about who is allowed to name the problem, not only who is asked to receive the answer.
What the evidence does not show
Wardle and Derakhshan's taxonomy does not show that every information problem can be cleanly classified as mis-, dis- or malinformation.
It does not provide a reliable way to infer intent from content alone.
The existence of information disorder does not show that audiences are passive or uniformly deceived.
Verification workflows do not guarantee truth when source material is inaccessible, manipulated or strategically coordinated.
Community-centred information systems are a promising institutional model, not a proven universal remedy.
And Wardle's practical influence in journalism and policy should not be confused with experimental validation of every recommendation.
What this changes for Inner Technology
Wardle's work widens discernment from a private cognitive skill into an ecological capacity.
The individual needs practices for source checking, context recovery and uncertainty.
Journalists need verification systems.
Public institutions need ways to detect information needs without reducing communities to streams of online data.
Platforms need provenance and distribution accountability.
Communities need trustworthy channels through which questions can be answered before rumours become the only available explanation.
That is not a self-help problem.
It is human and institutional information architecture.
The screenshot on the table
Return to the screenshot.
It is still real.
Its caption is still wrong.
Its original context still matters.
The person who shared it may have believed they were helping.
Someone upstream may have known exactly what they were doing.
Wardle's work teaches a disciplined refusal of the easiest label.
Do not ask only whether the object is true or false.
Ask how it was made, how it moved, who changed it, what was lost and what information the people receiving it actually needed.
Research references
- Wardle C, Derakhshan H. Information Disorder: Toward an Interdisciplinary Framework for Research and Policy Making. Council of Europe; 2017. https://edoc.coe.int/en/media/7495-information-disorder-toward-an-interdisciplinary-framework-for-research-and-policy-making.html
- Wardle C, Scales D. Advocating for a community-centred model for responding to potential information harms. Nature Human Behaviour. 2025;9(8). https://doi.org/10.1038/s41562-025-02233-2
- Wardle C, Dubberley S, Brown P. Amateur Footage: A Global Study of User-Generated Content in TV and Online News Output. Tow Center for Digital Journalism; 2014. https://usergeneratednews.towcenter.org/wp-content/uploads/2014/05/Tow-Center-UGC-Report.pdf
- Cornell University. Claire Wardle institutional profile. Current role and research programme verified September 2026. https://cals.cornell.edu/people/claire-wardle
- Council of Europe. Information disorder report publication record and policy context. 2017. https://www.coe.int/en/web/portal/news-2017/-/asset_publisher/StEVosr24HJ2/content/tackling-disinformation-in-the-global-media-environment-new-council-of-europe-report
- Wardle C. Verifying user-generated content. In: Silverman C, ed. Verification Handbook: A Definitive Guide to Verifying Digital Content for Emergency Coverage. European Journalism Centre; 2014:24-33. https://verificationhandbook.com/