Post-truth refers to a societal condition in which objective facts lose their role in shaping public opinion compared to appeals to emotion and personal belief. As Oxford Dictionaries defined it (2016 word of the year), post-truth describes circumstances in which people accept and act on claims based on whether they feel true rather than whether they are true.
Definition and scope
Post-truth is not:
- Merely lying (deliberate deception by individuals)
- Simple propaganda (biased messaging)
- Disagreement over interpretation
Post-truth is:
- A systematic erosion of shared standards for what counts as evidence and fact across a society
- Coordinated by actors (state, corporate, ideological) who deliberately propagate falsehoods to dominate rather than persuade
- Cognitive and structural — enabled by both human psychology (confirmation bias, in-group loyalty) and information systems (algorithms, media fragmentation, deepfakes)
Historical genealogy
McIntyre traces post-truth not as a novel phenomenon but as the metastasis of tactics developed over decades:
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Tobacco denial (1950s–1990s): Tobacco companies knew cigarettes caused cancer but funded "research," hired sympathetic scientists, and cultivated media debates framed as "controversy" to delay regulation. The playbook: deny, manufacture doubt, repeat.
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Climate denial (1990s–2010s): Same playbook applied to climate science. Leaked memos revealed Exxon knew the science was real while publicly funding denial.
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Political post-truth (2015+): The same obfuscation tactics, proven effective in science, were scaled up to politics itself. Falsehoods about crowd sizes, election fraud, and immigration spread not because believers couldn't access facts but because facts no longer seemed to matter.
Why post-truth works
Cognitive factors
- Confirmation bias: People seek evidence for what they want to believe
- Backfire effect: Correcting false beliefs can harden them instead of changing minds
- Dunning-Kruger effect: The more misinformed someone is, the harder they are to persuade
Structural factors
- Fragmented media: 62% of Americans get news from social media aggregators, not curated sources
- Echo chambers: Algorithms deliver content users engage with; users engage most with content that confirms their views
- Profit incentives: Sensational false stories drive more clicks than boring corrections
- Institutional erosion: When trust in science, media, and government declines, people look elsewhere for answers
Technological factors
- Deepfakes: Synthetic video/audio that approach indistinguishability from real media, making all video potentially deniable
- Algorithmic amplification: Platforms optimize for engagement, not accuracy
Post-truth vs. pre-truth
McIntyre's analysis suggests post-truth did not replace an earlier era of "truth." Rather, it is the expansion of denial tactics that were always used but confined to narrow domains (tobacco, climate) to politics and society wholesale.
Fighting post-truth
Empirical research suggests:
- Confronting liars matters. Not responding to a falsehood signals defeat; responding, even ineffectively, prevents undecided audiences from drifting.
- Facts work in the right context. When facts are presented repeatedly, non-hostilely, and with local relevance (not as abstract data), people do eventually change their minds.
- Standards must be enforced. Media cannot use "both-sides" framing when one side denies evidence-based facts. Journalism requires judgment, not false balance.
- Institutional credibility must be rebuilt. Without trust in institutions that adjudicate evidence, individuals are vulnerable to whoever tells the most emotionally resonant story.
Key videos
- Lewandowsky — The "post-truth" world, science, and vaccinations — Microbiology Society Hot Topic Lecture analyzing shock-and-chaos disinformation, populist signaling through norm violation, and measurable downstream effects on vaccine uptake; presents inoculation as evidence-based counter-strategy
- Truth and Post-Truth in Communication, Media, and Society — McIntyre at the Pontifical Academy tracing post-truth to 60 years of science denial; distinguishes post-truth from lying and frames it as an authoritarian tool
- Post-Truth in the Internet Age — philosophical genealogy and psychological foundations of post-truth from Lee McIntyre
Related topics
- Science denial — the historical template for post-truth
- Misinformation — false claims; narrower than post-truth but overlapping
- Deepfakes and synthetic media — the emerging technological accelerant
- Cognitive bias — psychological underpinning
- Echo chambers and filter bubbles — information ecosystem that sustains post-truth
- Propaganda research — deliberate manipulation strategies
- Trust in science — institutional credibility that post-truth erodes
Open questions
- How can societies rebuild shared standards for evidence after post-truth erosion?
- What distinguishes societies that maintain epistemic standards from those that abandon them?
- Can technology (e.g., media provenance, cryptographic verification) restore trust in video/audio?
- How do we inoculate populations against post-truth without slipping into defensive authoritarianism?
