Why misinformation, disinformation, and malinformation threats require investigation (not just monitoring)

Misinformation, disinformation, and malinformation (MDM) threats require investigation (not just monitoring) because detection alone cannot explain who is behind a campaign, how it operates, or how to stop it.

Modern MDM campaigns are coordinated, AI-driven operations that manipulate narratives, damage brands, and move markets in hours. To defend against them, organizations need secure access to threat environments, the ability to analyze infrastructure and actors, and workflows that turn signals into actionable intelligence.

The World Economic Forum's Global Risks Report 2025 identifies misinformation and disinformation as leading short-term global risks, and the financial consequences for many companies are showing up in quarterly reports. Research from the University of Baltimore calculated the annual cost at over $56 billion, including $39 billion in stock market losses plus another $17 billion in poor financial decisions driven by false information. The same research reported the global impact at roughly $78 billion per year.

This threat has evolved past isolated incidents as organizations now confront systematic campaigns that combine artificial intelligence, psychological manipulation, and coordinated networks overwhelming traditional monitoring approaches. The attacks can erase billions in market value within hours, trigger consumer boycotts based on fabricated claims, and create reputational damage persisting long after truth emerges.

Why misinformation and disinformation spread faster than the truth

MIT researchers focusing on social media discovered that false news stories achieve 70% higher retweet rates than accurate information. That dynamic creates a problem security teams recognize immediately, as manufactured controversies dominate discourse before analysts even identify if a real threat exists.

How MDM campaigns are executed today

Modern misinformation, disinformation, and malinformation campaigns are not random. They are engineered operations designed to influence perception at scale.

These campaigns typically follow a repeatable model:

• Seeding narratives in fringe or low-moderation communities
• Amplifying content through coordinated inauthentic behavior and bot networks
• Adapting messaging for different audiences using micro-targeting
• Injecting synthetic media, including AI-generated images or video, to increase credibility and engagement

As campaigns evolve, operators continuously test and refine messaging across platforms, optimizing for reach, engagement, and psychological impact. This structured execution makes MDM campaigns harder to detect — and even harder to understand without investigation.

Real-world examples of disinformation campaigns impacting businesses

The 2018 Danone boycott in Morocco is a perfect example of how fast MDM can cause harm. In that case, coordinated social media messages spread false allegations about price gouging and product tampering, resulting in the hashtag #LetItSpoil going viral. Sales dropped 40%, resulting in Danone closing plants, suspending supplier contracts, and having the CEO fly to Morocco for a damage control press conference. Later investigation confirmed the allegations were baseless, but the financial damage was done.

Another area where MDM has proven harmful is in the stock markets, where overreaction can lead to temporary dips that cause significant financial damage. Simultaneous attacks on several major companies in the same country could make markets wobble and international investors question financial stability as the ripple effects extend beyond the targeted organizations.

Microsoft experienced this in 2025 during workforce reductions when analysis revealed that 29% of profiles discussing the layoffs were fake; nearly triple the typical platform baseline. These accounts used synchronized messaging with identical tactics, and almost 40% of visual content consisted of AI-generated material, including deepfake images showing executives celebrating job cuts. The manufactured outrage reached over two million views before security teams could mount an effective response.

Common tactics used in modern disinformation campaigns

A few of the most common tactics used in modern disinformation campaigns include coordinated inauthentic behavior, deepfakes and synthetic media, bot networks, and micro-targeting.

Coordinated inauthentic behavior

Coordinated inauthentic behavior forms the operational foundation. Investigation of campaigns targeting Norway's 2025 election identified hundreds of fake profiles generating synchronized content. The profiles posted nearly identical messages within minutes of each other, clear evidence of coordination, if not centralized control. During peak periods, fake accounts outnumbered authentic users in activity levels, giving inauthentic voices outsized influence. They claimed diverse international origins to manufacture the appearance of global consensus against specific targets. 

Deepfakes and synthetic media in fraud and influence operations

Another tactic of concern is deepfakes, which have transitioned from a theoretical concern to operational weapons as synthetic media has achieved sufficient realism at low costs to deceive casual observers. While cases like the Microsoft campaign show how impactful the use of synthetic media can be, there are also direct actions where deepfakes are utilized for financial fraud. For instance, finance worker authorized $25 million in transfers in 2024 after video calls with a deepfake CFO.

Bot networks and automated amplification

Another tactic used to grow the MDM threat is bot networks that amplify manufactured narratives through automated engagement, particularly as we reach the point where modern bots can now mimic human behavior patterns well enough to avoid most platform detection systems. Small operator teams generate engagement volumes that would otherwise require significant human labor as automation creates illusions of grassroots movements supporting manufactured controversies.

Micro-targeting and algorithmic manipulation

Lastly, threat actors are becoming experts in micro-targeting, exploiting platform algorithms with surgical precision. They can now craft campaigns with different narratives for different demographic segments, tailoring messages to specific cultural contexts and individual belief systems. That fragmentation increases persuasive impact while reducing detection risk because traditional monitoring struggles to correlate campaign elements distributed across audience segments as each group sees content optimized for their particular vulnerabilities.

These tactics reflect the kind of influence operation tradecraft previously only associated with state actors. Commercial competitors and criminal organizations now deploy similar techniques because the rise of cheap and easily accessible AI has collapsed the barriers to entry for nearly everyone.

Why monitoring tools are not enough for disinformation threats

Social listening platforms like Brandwatch, Talkwalker, and Babel X detect MDM campaigns through automated monitoring and excel at flagging emerging campaigns based on sentiment analysis, coordinated behavior patterns, volume spikes, and hashtag tracking. Detection provides the starting point. Investigation provides context.

Understanding who coordinates a campaign, where planning occurred, what infrastructure supports distribution, and how narratives evolve across platforms requires accessing environments that automated monitoring cannot penetrate. Threat actors coordinate in spaces designed to avoid surveillance: fringe forums with hostile user communities, dark web channels requiring specialized access, encrypted messaging platforms, and temporary infrastructure that disappears after campaigns launch.

Traditional investigation approaches create problems. Corporate networks cannot safely access malware-laden sites or phishing infrastructure. Standard browsing reveals organizational IP addresses to adversaries monitoring who investigates them. Browser fingerprints and tracking mechanisms follow investigators across sessions, potentially linking separate operations. Evidence collected without proper documentation lacks chain of custody for legal proceedings.

Investigation requires capabilities that balance operational security with analytical depth. Analysts need to examine hostile infrastructure without exposing organizational networks to malware. They need to research threat actors without revealing investigator identity or organizational interest. They need to preserve evidence with documentation supporting legal action.

What investigation reveals that monitoring cannot

Investigation transforms isolated signals into actionable intelligence by uncovering the structure and intent behind MDM campaigns.

Through direct access to threat environments, analysts can:

• Identify threat actors and map their infrastructure
• Understand how narratives are created, tested, and amplified
• Trace coordination across platforms, accounts, and regions
• Capture evidence to support response, legal action, or escalation

This deeper visibility allows organizations to move beyond reactive monitoring and toward proactive disruption of influence operations.

What effective investigation looks like

Effective investigation goes beyond surface-level monitoring to uncover how campaigns are built, coordinated, and executed. By combining technical analysis, behavioral insight, and structured evidence collection, analysts can move from isolated observations to a complete understanding of threat activity. The following components outline how mature investigation workflows deliver actionable intelligence across the entire lifecycle.

Infrastructure mapping and campaign analysis

Infrastructure mapping reveals campaign mechanics. Investigators trace hosting providers, examine domain registration patterns, analyze content delivery networks supporting fake news sites. Inspecting source code can lead to discovery of reused templates across multiple operations that reveal whether campaigns represent isolated incidents or coordinated efforts by established operators. Network traffic analysis uncovers command-and-control relationships and coordination infrastructure.

Threat actor attribution and behavioral profiling

Attribution development builds threat actor profiles through multiple intelligence streams. Linguistic analysis identifies writing patterns, native language indicators, and vocabulary choices. Behavioral patterns emerge from posting schedules, response timing, and operational tradecraft. Technical capabilities become apparent through infrastructure choices, security implementations, and tool selection. Combined analysis determines whether campaigns originate from commercial competitors, criminal organizations, or state-sponsored operations.

Cross-platform narrative tracking

Cross-platform correlation maps how narratives spread. Campaigns typically coordinate across multiple platforms simultaneously, with different messaging adapted to each environment's norms and audience expectations. Effective investigation traces how concepts originate in planning channels, get tested in fringe communities, then spread to mainstream platforms through influencer networks and amplification tactics. 

Counter-narrative development and response

Counter-narrative development requires understanding persuasion mechanisms. Through first-hand access – including in languages native to the targeted audiences – analysts can identify which narratives resonate with target audiences, which distribution channels are most effective, and which influencer networks amplify messaging. These insights lead to intelligence-informed responses that address root persuasion mechanisms.

Evidence collection and chain of custody

Evidence collection demands proper documentation. Intellectual property litigation, defamation cases, and regulatory complaints require timestamped records, preserved content, traffic logs, and chain of custody documentation. Effective evidence collection goes way beyond screenshots alone, instead capturing technical metadata, preserving original content before removal, and maintaining audit trails.

Technology enables secure investigation at scale

Investigating MDM campaigns requires entering adversarial environments without introducing risk. Modern investigation platforms isolate all activity in cloud-based environments, allowing analysts to safely access, capture, analyze, and report on threat activity as part of a controlled workflow.

Managed attribution capabilities give investigators the flexibility to customize browser fingerprints, select geographic egress points, and configure platform characteristics matching target demographics rather than revealing corporate research profiles.

Additional capabilities for addressing specific investigation requirements include:

• Isolated browsing environments that protect corporate infrastructure
• Disposable sessions that prevent cross-contamination
• Global access points to analyze region-specific narratives
• Built-in logging and evidence capture to support reporting and compliance

From detection to investigation: building a complete defense against MDM

Because there is no single technology to mitigate MDM threats, the best defensive approach against the significant financial risk posed by MDM campaigns is layering capabilities across detection, investigation, and response. 

Automated systems flag anomalies, but human analysts need safe access to hostile infrastructure, methods for concealing organizational interest during research, and proper evidence collection as they build an understanding of threat actor capabilities, intentions, and infrastructure while determining whether anomalies represent genuine threats that require tailored response actions or genuine content that demands a different response (if any).

For more information, watch the video below.

Misinformation, disinformation, and malinformation FAQs

What’s the difference between misinformation, disinformation, and malinformation?

Misinformation is false information shared without intent to harm. Disinformation is deliberately deceptive content designed to mislead or manipulate audiences. Malinformation is based on real information used maliciously, often taken out of context. Together, they form coordinated campaigns that influence perception, damage reputations, and disrupt markets.

How can you identify misinformation, disinformation, and malinformation?

Identifying MDM requires analyzing coordinated behavior, content patterns, and distribution tactics. Indicators include synchronized messaging across accounts, unusual spikes in activity, AI-generated media, and narratives spreading across multiple platforms. Effective identification goes beyond monitoring, requiring investigation into infrastructure, attribution, and how narratives evolve.

Why do misinformation and disinformation spread so quickly?

False information spreads faster because it is designed to trigger emotional responses like fear, outrage, or surprise. Social media algorithms amplify high-engagement content, allowing misleading narratives to reach large audiences before verification occurs, making early investigation critical.

What are common sources of disinformation online?

Common sources of disinformation include coordinated inauthentic behavior networks, fake social media profiles, bot-driven amplification systems, and AI-generated content such as deepfakes. These campaigns often originate in fringe forums, encrypted messaging platforms, and dark web communities, then spread to mainstream platforms through synchronized messaging and algorithmic amplification.

How do organizations investigate disinformation campaigns?

Organizations investigate disinformation by securely accessing threat environments, analyzing infrastructure, tracking narrative spread, and attributing actors. This requires isolated browsing, identity masking, and evidence capture to safely interact with adversarial content without exposing internal networks or tipping off threat actors.

How can organizations protect against misinformation, disinformation, and malinformation attacks?

Organizations need a layered approach that includes detection, secure investigation, and response. Monitoring tools identify threats, but investigation platforms enable teams to understand and mitigate them effectively.