Is factually the biggest lie fabricator online, or a minor one?

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Checked on January 17, 2026
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Executive summary

The phrase “the biggest lie on the internet” refers to the routine ritual of clicking “I AGREE” without reading or understanding terms of service and privacy policies, and that behavior is presented in academic and advocacy reporting as a systemic, high‑impact problem rather than a trivial quirk [1] [2]. There is no evidence in the provided reporting that a single actor called “factually” is the central fabricator of online lies; instead the sources point to design choices, corporate practices and new technologies (deepfakes, surveillance) as the main drivers of large‑scale misinformation and harm [3] [4].

1. The label: what people mean by “the biggest lie on the internet”

Researchers and advocacy groups use the phrase to describe how clickwrap design nudges users to accept complex terms and privacy invasions without informed consent, and they document startling behavioral results—like a reported undergraduate experiment where most participants agreed to absurd terms—showing the problem is behavioral and systemic, not anecdotal [1] [3].

2. Why this is a systemic fabricator of harm, not a lone liar

The project behind BiggestLieOnline frames “I agree” as a mechanism that enables problematic big‑data practices and discrimination; it argues that platform design and consent architectures, rather than a single lying individual, are responsible for large‑scale data harvesting and downstream harms to marginalized groups [1] [2]. OpenMedia’s coverage echoes that diagnosis, naming clickwrap and design choices as the drivers that rush users past informed consent into commercial uses of their data [3].

3. Corporate falsehoods and deceptive practices widen the damage

Reporting across tech and business outlets shows that many companies have engaged in explicit deceptive practices—from misleading marketing to data misuse and growth hacks—that compound the harm produced by casual “I agree” behavior; examples include cases like Snapchat’s FTC settlement over misleading privacy claims and larger scandals such as Cambridge Analytica referenced in industry retrospectives [5] [6]. These are cited as corporate-level lies that coexist with, and are amplified by, users’ blind acceptance of terms [7] [6].

4. New technologies complicate the picture: deepfakes and high‑tech deception

Independent reports warn that synthetic media — AI‑generated video, audio and images — creates a separate but related landscape where convincing lies can be fabricated at scale, shortening the path from deceptive design or corporate overreach to outright fabricated content that undermines trust [4]. Academic and tech coverage of lie‑detection tools and AI highlights both the promise and limits of technical fixes; lie detectors are a tool, not a panacea, and can be misused or overstated [8] [4].

5. Alternative viewpoints and limits of the reporting

Some coverage and commentators emphasize individual corporate scandals or growth hacks as the central problem [9] [10], implying that fixing rogue companies would suffice; other sources stress structural fixes to consent mechanisms and policy reforms as necessary [2] [3]. The supplied reporting does not evaluate any actor named “factually” or measure a single entity’s share of fabrication online, so it cannot confirm or refute claims that a person or organization called “factually” is the single biggest fabricator (no source supplied).

6. Verdict: systemic problem, not a lone “biggest fabricator”

Based on the available reporting, the phenomenon called “the biggest lie on the internet” is best understood as a widespread, structural enabler of deception and data misuse—driven by user behavior, persuasive design, corporate misrepresentations and emergent synthetic media—rather than the output of a single dominant fabricator named in the sources; therefore the “fabricator” is a distributed system of practices and technologies that is major, not minor, in its impact [1] [3] [4]. The evidence does not support labeling any single actor in the provided materials as the primary or “biggest” liar online (no source supplied).

Want to dive deeper?
What reforms to clickwrap and consent design have been proposed to reduce deceptive data practices?
Which major tech scandals involved misleading privacy claims or data misuse, and what were the outcomes?
How are deepfakes being used in disinformation campaigns and what detection or policy responses exist?