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ImpactMojoPost-Truth Politics 101www.impactmojo.in
ImpactMojo 101 Series · Free Forever
Post-Truth
Politics
101
Why Emotion & Identity Beat Facts — and How to Build Resilience. A Foundational Course for Practitioners, Communicators & Citizens in South Asia
Research-BackedSouth Asia Focus100 SlidesFree Access
ImpactMojoPost-Truth Politics 101www.impactmojo.in
What We Cover
01
What 'Post-Truth' Means
Slides 3–10
02
A Taxonomy of Falsehood
Slides 11–19
03
How Falsehoods Spread
Slides 20–28
04
Echo Chambers & Filter Bubbles
Slides 29–37
05
The Believing Brain
Slides 38–46
06
Propaganda & Manufacturing Consent
Slides 47–55
07
The Attention Economy
Slides 56–64
08
Synthetic Media
Slides 65–73
09
Polarisation
Slides 74–80
10
Why It Matters for Development
Slides 81–88
11
Building Resilience
Slides 89–99
ImpactMojoPost-Truth Politics 101www.impactmojo.in
01
Section One
What ‘Post-Truth’ Means
ImpactMojoPost-Truth Politics 101www.impactmojo.in
'Post-truth' is the word of an era
In 2016, in the wake of Brexit and the US election, Oxford Dictionaries named post-truth its Word of the Year — reporting a roughly twenty-fold spike in usage over the previous year.
Post-truth
Relating to circumstances in which objective facts are less influential in shaping public opinion than appeals to emotion and personal belief. (Oxford Dictionaries Word of the Year, 2016.)
'Post' here does not mean facts have vanished. It means they no longer settle the argument.
ImpactMojoPost-Truth Politics 101www.impactmojo.in
When feelings outrank facts
Post-truth is not simply lying — lying is as old as speech. What is new is a public sphere where how a claim makes you feel, and whose side it signals, matter more than whether it is true.
Old contest
Rival claims judged against shared evidence; being caught wrong carried a cost.
Post-truth contest
Claims judged by identity and emotion; a fact-check can even harden belief.
ImpactMojoPost-Truth Politics 101www.impactmojo.in
Old impulse, new infrastructure
Rumour, propaganda and demagoguery are ancient. What amplifies them now is infrastructure: smartphones in billions of pockets, algorithmic feeds, group chats and an economy that pays for attention.
01
ANCIENT: rumour, oratory, pamphlets
02
BROADCAST: press, radio, television
03
NETWORKED: social media, group chats
04
GENERATIVE: synthetic text, image & video at scale
ImpactMojoPost-Truth Politics 101www.impactmojo.in
Four symptoms of a post-truth public sphere
  • Disagreement about facts, not just values — even on the verifiable
  • A blurred line between opinion and fact in how news is consumed
  • Rising volume and influence of opinion over reporting
  • Declining trust in once-respected sources of information
The RAND Corporation calls this cluster 'Truth Decay'. None of the four requires anyone to tell an outright lie.
ImpactMojoPost-Truth Politics 101www.impactmojo.in
South Asia is a front line, not a footnote
With hundreds of millions of new, mobile-first internet users, dozens of languages and dense kinship and faith networks, South Asia is where post-truth dynamics play out at their largest human scale — often with life-and-death stakes.
Mobile-first
Most users came online on a phone, via cheap data, into closed messaging groups
Many languages
Falsehood travels in tongues most fact-checking tools barely cover
ImpactMojoPost-Truth Politics 101www.impactmojo.in
What this course will and won't do
We will
  • Name the mechanisms behind post-truth
  • Show how falsehood spreads and persuades
  • Build practical habits of resilience
We won't
  • Pick a political side
  • Pretend any one tribe alone is fooled
  • Offer a tidy technological fix
Susceptibility to falsehood is human, not partisan. That humility is the starting point.
ImpactMojoPost-Truth Politics 101www.impactmojo.in
How this course is built
Diagnosis
  • Types of falsehood and how they spread
  • Bubbles, the believing brain, propaganda
  • The attention economy and synthetic media
Response
  • Polarisation and its real-world harms
  • Why it matters for development
  • Fact-checking, prebunking and media literacy
ImpactMojoPost-Truth Politics 101www.impactmojo.in
02
Section Two
A Taxonomy of Falsehood
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Not all falsehood is the same
Lumping everything together as 'fake news' hides what matters: was it meant to deceive, and was it meant to harm? Those two questions sort the field into three useful categories.
The term 'fake news' is now so weaponised — used to dismiss inconvenient reporting — that researchers prefer the sharper words that follow.
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Mis-, dis- and mal-information
TypeFalse?Intent to harm?Example
MisinformationYesNoSharing a wrong cure, believing it true
DisinformationYesYesA fabricated rumour seeded to incite a riot
MalinformationNo (mostly true)YesLeaking private data to harm someone
Framework: Wardle & Derakhshan (Council of Europe, 2017). The axes are falseness and intent to harm.
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False, but shared in good faith
Misinformation
False or misleading information spread without intent to deceive. The sharer believes it is true — an anxious relative forwarding a bogus health tip.
Most of what floods family group chats is misinformation, not disinformation. It is sincere — and that sincerity is exactly what makes it travel.
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False, and weaponised on purpose
Disinformation
False information created and spread deliberately to deceive, manipulate or harm — for political, financial or social gain.
Disinformation is engineered. It is seeded by actors who know it is false and design it to exploit a fault line — a communal tension, an election, a fear.
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True, but deployed to wound
Malinformation
Genuine information taken out of context, or private information exposed, in order to cause harm — doxxing, leaks, selective truths.
Malinformation is the trickiest, because the facts check out. The deception is in the framing, the timing and the omission.
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Rumour, propaganda, hoax, satire
FormWhat it is
RumourUnverified claim passed on, often filling an information vacuum
PropagandaInformation shaped to promote a cause, true or false
HoaxA deliberate fabrication designed to be believed
Satire / parodyFalse on purpose, but meant to be understood as a joke
ClickbaitMisleading framing engineered to harvest clicks
Conspiracy theoryAn all-explaining secret-plot narrative, resistant to evidence
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When a joke stops being read as a joke
Satire is legitimate — until it is screenshotted, stripped of its source and reshared as fact. Then a parody headline becomes, in effect, misinformation by accident.
Context collapse: when content jumps platforms and audiences, the cues that signalled 'this is a joke' fall away.
ImpactMojoPost-Truth Politics 101www.impactmojo.in
The right name shapes the right response
  • Misinformation → correct gently; the sharer is not the enemy
  • Disinformation → expose the source and the motive, not just the claim
  • Malinformation → challenge the framing and protect the harmed
  • Satire → restore the missing context, don't censor the joke
Diagnosis before treatment. The category tells you whether to educate, to debunk or to defend.
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03
Section Three
How Falsehoods Spread
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'A lie travels halfway round the world…'
A lie can travel halfway around the world while the truth is still putting on its shoes.
— widely attributed to Mark Twain (and to Swift before him); the attribution itself is disputed
Fittingly, the quote's own origin is a small case study in how a tidy story outruns the messy truth.
ImpactMojoPost-Truth Politics 101www.impactmojo.in
False news really does spread faster
Cumulative reach of true vs false stories over time (illustrative shape)
Illustrative, patterned on Vosoughi, Roy & Aral, Science (2018)
Vosoughi, Roy & Aral (Science, 2018) studied ~126,000 stories on Twitter and found false news spread farther, faster and deeper than the truth — and people, not bots, did most of the spreading.
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Why falsehood out-runs fact
The same study found false stories were markedly more novel than true ones, and inspired more surprise and disgust. Truth is often dull; lies can be tailored to be thrilling.
  • Novelty grabs attention and feels worth sharing
  • Strong emotion — fear, anger, awe — drives the forward button
  • The truth must compete while bound by being true
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How a rumour goes from one to a million
01
SEED: a single false post or forward
02
AMPLIFY: a few high-reach accounts share
03
CASCADE: each share exposes new networks
04
SATURATE: it feels 'everywhere', so it feels true
Ubiquity masquerades as verification. 'I keep seeing it' is mistaken for 'it must be confirmed'.
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Each hop multiplies the reach
People reached as a rumour is re-forwarded, hop by hop (illustrative)
Illustrative; assumes each person forwards to several others
A few highly connected hubs — influencers, large groups — turbo-charge this. In South Asia, a forward from a trusted relative carries the credibility of the relationship, not the source.
ImpactMojoPost-Truth Politics 101www.impactmojo.in
Encrypted chats: trusted, untraceable
Why it spreads
  • Forwarded by people you trust
  • No visible like-count or fact-check label
  • End-to-end encryption hides the origin
Why it's hard to fight
  • Outsiders can't see what's circulating
  • Corrections rarely reach the same group
  • Speed outpaces any moderator
Forward-limit features (capping how many chats a message can be relayed to) slow, but do not stop, viral falsehood.
ImpactMojoPost-Truth Politics 101www.impactmojo.in
Automated accounts at scale
Bot
An automated account that posts, likes or reshares without a human behind each action — used to manufacture the illusion of popularity or consensus.
Bots rarely persuade you directly. Their job is to amplify — to make a fringe view trend, so that real humans assume it is mainstream and pass it on.
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The troll farm and the IT cell
Coordinated inauthentic behaviour (CIB)
Groups of accounts working together to mislead about who they are and what they are doing — the platform term for organised influence operations.
Whether called a 'troll farm', an 'IT cell' or a 'PR operation', the pattern is the same: paid or volunteer networks manufacturing consensus and drowning out dissent.
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04
Section Four
Echo Chambers & Filter Bubbles
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Eli Pariser and the 'filter bubble'
Filter bubble
The intellectual isolation that results when algorithms selectively show you content they predict you'll like — quietly editing out the rest. Coined by activist Eli Pariser (2011).
Pariser's worry: personalisation creates a unique universe of information for each of us, and we rarely notice what has been filtered away.
ImpactMojoPost-Truth Politics 101www.impactmojo.in
Two related, distinct ideas
Filter bubble
Algorithm-driven and often invisible. The platform decides what you don't see.
Echo chamber
Choice-driven and social. You surround yourself with the like-minded, and dissent is muffled.
One is done to you; the other you help build. In practice they reinforce each other.
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Algorithmic curation, in one picture
All informationfilterYour feed
Only content the model predicts you'll engage with passes the filter. The rest is silently dropped — you never know it existed.
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Birds of a feather cluster together
Homophily
The tendency to connect with people similar to ourselves. Our networks are homogeneous before any algorithm touches them.
Echo chambers begin in human nature. We befriend, follow and marry within our groups — so our information diet is already narrow when the platform starts personalising it.
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We seek what we already believe
Selective exposure
The habit of choosing information sources that agree with our existing views, and avoiding those that challenge them.
Algorithms did not invent this; they industrialised it. Selective exposure is the demand; the filter bubble is the frictionless supply.
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How sealed are the bubbles, really?
Honesty check: some researchers find the average person's online diet is more varied than the strong 'sealed bubble' story suggests, and that incidental exposure to other views still happens.
The nuance: bubbles are real but leaky, and matter most for the highly engaged partisans who drive online discourse. Avoid both complacency and panic.
ImpactMojoPost-Truth Politics 101www.impactmojo.in
Why bubbles still matter
  • They make extreme views feel normal and majority
  • They starve us of the friction that corrects error
  • They let falsehoods circulate uncontested within a group
  • They make the other side feel alien — fuelling polarisation
The danger is less that you hear only one view, and more that you stop hearing the people who hold the others as people.
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Letting air into the bubble
  • Follow a few thoughtful sources you usually disagree with
  • Notice when a feed only ever flatters your priors
  • Seek the strongest version of the other case, not the weakest
  • Talk to real people outside your usual circle
You cannot delete the algorithm, but you can feed it deliberately — and step outside it on purpose.
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05
Section Five
The Believing Brain
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We are not the rational machines we imagine
Falsehood succeeds partly because of how human cognition works. We are pattern-seekers and tribe-members first, dispassionate evaluators of evidence a distant second. These are features, not bugs — and they can be exploited.
It is the peculiar and perpetual error of the human understanding to be more moved and excited by affirmatives than by negatives.
— Francis Bacon, 1620, anticipating confirmation bias
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We collect evidence for our side
Confirmation bias
The tendency to search for, interpret and recall information in a way that confirms what we already believe — and to discount what doesn't.
Two people can read the same report and each walk away surer of opposite conclusions. The data was identical; the filter was not.
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Reasoning toward the answer we want
Motivated reasoning
Using our reasoning powers not to find the truth, but to justify a conclusion we are already emotionally committed to.
The unsettling finding: more knowledge and numeracy can make this worse, because the clever are better at building arguments for whatever their group already believes.
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Repeat a thing and it starts to feel true
Illusory-truth effect
The finding that simply repeating a statement increases the likelihood that people will judge it true — even when they know better, and even for implausible claims.
This is the engine of propaganda and the viral forward. Familiarity is mistaken for credibility. Repetition is a weapon.
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Does correction sometimes backfire?
An influential idea held that correcting a falsehood can strengthen belief in it — the so-called backfire effect. The story spread widely among communicators.
Treat with care: later research found the backfire effect is rare and hard to reproduce. For most people, most of the time, clear correction does help. Don't let the myth scare you off correcting.
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Why a debunked claim lingers
Continued-influence effect
The tendency for misinformation to keep shaping our reasoning even after we have heard, and accepted, a correction.
The fix is not just to say 'that's false' but to supply a replacement explanation — a true story that fills the gap the lie was occupying.
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The least skilled are often the most sure
Dunning–Kruger effect
A pattern in which people with low ability in a domain tend to overestimate that ability — they lack the very skill needed to see their own gaps.
Combined with motivated reasoning, this breeds the loud, unshakeable confidence that travels so well online — while genuine experts hedge, qualify and lose the room.
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Knowing your brain's blind spots
  • Ask of agreeable news: would I check this if it cut the other way?
  • Treat the feeling of certainty as a signal to slow down, not speed up
  • Notice repetition for what it is — not evidence
  • Stay humble: these biases are not other people's problem, they are yours too
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06
Section Six
Propaganda & Manufacturing Consent
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Edward Bernays and 'Propaganda' (1928)
Freud's nephew Edward Bernays fused psychoanalysis with publicity to found modern public relations. His 1928 book was titled, without embarrassment, Propaganda.
The conscious and intelligent manipulation of the organized habits and opinions of the masses is an important element in democratic society.
— Edward Bernays, Propaganda, 1928
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Selling things by selling feelings
Bernays' insight was to appeal not to reason but to desire and identity — famously rebranding cigarettes for women as 'torches of freedom'. He sold the feeling, and the product followed.
Post-truth politics is, in part, Bernays' method turned on citizenship itself: sell the emotion, and the belief follows.
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Herman & Chomsky, 'Manufacturing Consent' (1988)
Edward Herman and Noam Chomsky argued that mass media in market societies don't need overt censorship to serve power. Structural filters shape the news before it reaches you.
Manufacturing consent
The idea that media systems generate public agreement with elite agendas through built-in economic and institutional filters, not crude state control.
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How news gets shaped at the source
FilterHow it shapes the news
OwnershipProfit-driven owners set the boundaries of acceptable coverage
AdvertisingOutlets serve audiences advertisers want; don't bite the hand
SourcingReliance on official and corporate sources for cheap content
FlakOrganised pushback punishes inconvenient reporting
A common enemyA unifying threat (the 'other') disciplines the debate
Note the model is debated, but its core question endures: what shapes the news before anyone lies?
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The frame decides what you think about
Framing
Selecting and emphasising certain aspects of an issue to promote a particular interpretation — without stating a single falsehood.
'Tax relief' versus 'tax cuts for the rich.' 'Migrants' versus 'refugees.' Same facts, different worlds. The frame does the persuading before the argument begins.
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Media may not tell you what to think…
Agenda-setting
The power of media to shape which issues we consider important, by choosing what to cover and how prominently.
Cohen's classic line: the press may not succeed in telling people what to think, but it is stunningly successful in telling them what to think about.
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A new model: drown the truth in noise
Classic propaganda pushed one consistent message. A newer tactic — the firehose of falsehood — floods the zone with many contradictory claims, fast and shameless, to exhaust and confuse rather than convince.
The goal is not to make you believe a particular lie, but to make you believe nothing — cynicism is the win condition.
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From Bernays to the feed
01
1928: Bernays — engineer desire
02
1988: Herman & Chomsky — structural filters
03
2010s: platforms — algorithmic amplification
04
Now: firehose + synthetic media at zero marginal cost
The aim has been constant for a century: shape belief without seeming to. Only the tooling keeps getting cheaper and faster.
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07
Section Seven
The Attention Economy
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When attention is the product
Attention economy
An economy in which human attention is the scarce resource being bought and sold. Platforms compete to capture and hold your eyes, then sell that access to advertisers.
If you're not paying for the product, you are the product.
— an old advertising adage, revived for the social-media age
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Free to you, because you are the inventory
01
You give attention & data, for free
02
Platform maximises time-on-app
03
Advertisers buy your attention
04
Revenue rewards whatever keeps you scrolling
Truth was never the objective function. Engagement is — and the two only sometimes coincide.
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The feed is optimised for feeling, not fact
Relative engagement by emotional tone of content (illustrative)
Illustrative shape; consistent with research on moral-emotional language online
Content that triggers moral outrage tends to be shared most. An algorithm chasing engagement will therefore learn to serve you anger — without anyone deciding to.
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The feed is now the front page
Share of adults who get news mainly via social media & messaging (illustrative)
Illustrative; directional, not exact figures
When the feed is the main source of news, the engagement algorithm becomes, in effect, the editor — one optimised for attention, not accuracy. (Magnitudes illustrative.)
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Designed so you can't look away
  • Infinite scroll: no natural stopping cue
  • Variable rewards: the next post might be the great one (the slot-machine pull)
  • Notifications: manufactured urgency to bring you back
  • Autoplay: the next video starts before you choose
These are not accidents. They are persuasive design choices — and they keep you in the place where falsehood spreads.
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Nobody has to want the harm
This is the crucial, uncomfortable point: an engagement-driven system can degrade public truth as a side-effect, with no villain intending it. The incentive does the damage automatically.
Don't look only for bad actors. Look at the machine's objective function — that is where most of the harm is manufactured.
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The incentive flows downhill
Because attention is money, creators learn what the algorithm rewards and feed it: sharper takes, scarier thumbnails, surer claims. The platform's incentive becomes the publisher's, then the public's.
Nuance, doubt and 'it's complicated' are competitively disadvantaged. The market quietly pays a premium for certainty — including false certainty.
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Spend the scarce resource on purpose
  • Notice when you feel provoked — that is the product working
  • Turn off non-essential notifications and autoplay
  • Choose sources deliberately, rather than letting the feed choose
  • Add friction: pause before you share something that made you furious
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08
Section Eight
Synthetic Media
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When seeing is no longer believing
For a century, a photograph or recording was strong evidence. Synthetic media — content created or altered by software — is dissolving that trust, at falling cost and rising quality.
The deepest danger is not any single fake. It is the erosion of the shared assumption that recordings show something real.
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Dressing falsehood as journalism
The cheapest synthetic format needs no AI: a website built to look like a real news outlet — logo, masthead, datelines — publishing invented stories for clicks or influence.
During the 2016 US election, a cluster of such sites was famously traced to teenagers in Veles, North Macedonia, chasing ad revenue — falsehood as a pure business.
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Most manipulation is low-tech
Cheapfake
Misleading media made with simple, cheap techniques — mislabelling, slowing or speeding a clip, cropping, or recaptioning a real but unrelated image.
Reality check: cheapfakes do far more damage today than deepfakes. An old photo from another country, recaptioned as local 'breaking news', has ignited real violence.
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The real photo, the false caption
The single most common visual falsehood in South Asia: a genuine image or video, stripped of its true context and recaptioned to inflame — an old riot, a foreign accident, a film scene, sold as today's local event.
Defence is simple and powerful: a reverse image search often reveals where and when the picture really came from.
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When AI puts words in your mouth
Deepfake
Synthetic video, audio or images generated by AI to convincingly depict people saying or doing things they never did. Named for the 'deep learning' behind it.
Voice clones now need only seconds of audio; face-swaps run on consumer hardware. The frontier risks: fake statements by leaders, and non-consensual intimate imagery used to silence women.
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The subtler danger of deepfakes
Liar's dividend
Once people know any recording could be fake, the guilty can dismiss genuine evidence as a deepfake — and be believed.
So synthetic media corrodes truth twice: it lets fakes pass as real, and lets the real be waved away as fake. Doubt itself becomes a shield for the powerful.
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Falsehood with no marginal cost
Generative AI can now produce fluent text, images and voices in any language, instantly and almost free. It can write a thousand unique, native-sounding fake comments in the time it took to write one.
The bottleneck on disinformation used to be human effort. That bottleneck is gone — raising the premium on verification, not production.
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Habits beat detectors
  • Distrust emotionally perfect, source-less viral clips
  • Reverse-image-search striking photos before believing or sharing
  • Check whether any credible outlet reports the same thing
  • Watch for tell-tale glitches — but assume they'll soon vanish
No detector is reliable for long. The durable skill is to check the source and context, not to spot the pixels.
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09
Section Nine
Polarisation
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Polarisation isn't only about issues
Ideological
Genuine disagreement about policy — taxes, rights, the role of the state. Normal and healthy in a democracy.
Affective
Disliking, distrusting and fearing the other side as people. This is the corrosive kind.
You can polarise affectively while barely disagreeing on policy. Increasingly, we hate the team more than we dispute the plan.
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Hating the other side
Affective polarisation
The tendency for people across a political divide to feel growing dislike and distrust toward the other group — not over ideas, but over identity.
Its markers: I wouldn't want my child to marry one of them; I assume the worst of their motives; I believe bad news about them without checking.
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The mind runs on tribes
Humans form group identities effortlessly — and once a line is drawn, we favour the in-group and suspect the out-group automatically. Politics, religion and caste supply ready-made lines.
Disinformation rarely invents a divide. It finds an existing fault line and pours in water, then waits for the freeze.
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Falsehood and division feed each other
Falsehood about "them"Anger & distrustDeeper divisionReady to believe more
Each turn of the loop makes the next falsehood easier to believe. Division is both the cause and the product.
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Falling trust in shared institutions
Trust in news media over time (illustrative downward trend)
Illustrative; directional pattern, not specific national figures
When no source is trusted in common, there is no shared referee. Each side keeps its own facts — and the post-truth condition becomes self-sustaining.
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What actually reduces the heat
  • Correct the caricature: most of the other side is more moderate than you think
  • Build contact — real cross-group relationships shrink fear
  • Separate the argument from the person; attack ideas, not identities
  • Refuse to share content whose main purpose is to make you despise a group
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10
Section Ten
Why It Matters for Development
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This is not just an online problem
Post-truth dynamics are sometimes dismissed as a distraction for the well-connected. In South Asia they shape whether children get vaccinated, whether riots ignite, and whether elections are trusted.
For development practitioners, falsehood is not a media-studies topic. It is an operational risk to every programme that relies on public trust.
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Vaccine hesitancy and rumour
Health programmes live or die on trust. Rumours — that a polio or COVID vaccine causes harm or infertility — have stalled campaigns and cost lives, sometimes triggering attacks on health workers.
A single viral falsehood can undo years of patient community work. Misinformation here is measured in preventable illness and death.
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When a forward becomes a mob
Across South Asia, false rumours — of child-kidnappers, cattle theft or blasphemy — spread through messaging apps have led to mob lynchings of innocent people, often strangers in the wrong place.
These are not edge cases. They are documented, recurring tragedies in which a smartphone forward was the spark. The stakes could not be more concrete.
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Disinformation as a weapon against minorities
Coordinated falsehood — doctored clips, recaptioned images, fabricated 'crimes' — is repeatedly used to inflame communal and religious hatred and to scapegoat minorities.
Here malinformation and disinformation fuse: a real fear, a false target, a deliberate match. Recognising the pattern is the first defence.
ImpactMojoPost-Truth Politics 101www.impactmojo.in
Falsehood and the integrity of the vote
  • Fabricated claims about candidates, seeded on polling eve
  • False 'voting day/place changed' messages to suppress turnout
  • Manufactured outrage to depress or mobilise particular communities
  • Pre-emptive lies that the count will be 'rigged', to delegitimise any result
The damage is not only any single false vote. It is the slow erosion of faith that elections can be trusted at all.
ImpactMojoPost-Truth Politics 101www.impactmojo.in
Manufactured doubt about settled questions
On climate, tobacco and pollution, a recurring playbook manufactures doubt: not denying outright, but amplifying uncertainty to delay action — 'the science isn't settled'.
Doubt is the product. As one tobacco memo put it decades ago, 'doubt is our product' — a strategy since reused against climate science.
ImpactMojoPost-Truth Politics 101www.impactmojo.in
The slow poison: nobody to believe
The deepest cost is corrosive and cumulative: when people trust no institution — not science, not the courts, not the press — cooperation on any shared problem becomes almost impossible.
Development is collective action. Post-truth attacks the trust that collective action requires. That is why it belongs on every practitioner's risk register.
ImpactMojoPost-Truth Politics 101www.impactmojo.in
11
Section Eleven
Building Resilience
ImpactMojoPost-Truth Politics 101www.impactmojo.in
Resilience, not perfect detection
We will never catch every lie. The realistic aim is resilience: people and communities harder to fool, quicker to check, and slower to spread — a population with cognitive antibodies.
Shift the question from 'how do we delete falsehood?' to 'how do we make people and systems resistant to it?'
ImpactMojoPost-Truth Politics 101www.impactmojo.in
Necessary, but not sufficient
Professional fact-checkers verify claims and publish corrections. South Asia has a strong, growing ecosystem of them — a vital public good.
But corrections are slower than falsehood and rarely reach the closed groups where lies live. Fact-checking is essential and insufficient on its own — hence everything that follows.
ImpactMojoPost-Truth Politics 101www.impactmojo.in
Read like a fact-checker
Lateral reading
Instead of scrutinising a suspicious page itself, opening new tabs to check what other sources say about it — the technique professional fact-checkers actually use.
Vertical reading (staying on the page, judging its slick design) is how the gullible are fooled. Leave the page to find out who is really behind it.
ImpactMojoPost-Truth Politics 101www.impactmojo.in
Inoculate before the lie arrives
Prebunking
Forewarning and refuting a manipulation technique before people meet it — building mental resistance, like a vaccine builds immunity.
Inoculation theory traces to psychologist William McGuire in the 1960s and has been revived for the digital age by Sander van der Linden and colleagues.
ImpactMojoPost-Truth Politics 101www.impactmojo.in
How a mental vaccine works
WARNa lie is comingEXPOSEa weakened exampleREFUTEshow the trick
Teach the technique (e.g. fake experts, emotional manipulation) and the immunity generalises to lies you've never seen — far more durable than debunking one claim at a time.
ImpactMojoPost-Truth Politics 101www.impactmojo.in
How to correct without backfiring
  • Lead with the truth, not the myth
  • Warn briefly before repeating the falsehood (if you must repeat it at all)
  • Explain why it's wrong and the motive behind it
  • Give a clear replacement explanation to fill the gap
The 'truth sandwich': truth → brief myth → truth again. Don't let the lie be the loudest thing you said.
ImpactMojoPost-Truth Politics 101www.impactmojo.in
The long game: build the skill in everyone
The most durable defence is widespread media and information literacy (MIL) — teaching people, from school age up, to source, verify, contextualise and question what they consume and share.
  • Who made this, and why?
  • What's the evidence, and where's it from?
  • What's missing or being left out?
  • How does it want me to feel — and act?
ImpactMojoPost-Truth Politics 101www.impactmojo.in
Before you believe — or forward
  • Pause — strong emotion is a flag, not a green light
  • Source — who is behind this, and read laterally
  • Date & place — is it old, or from somewhere else?
  • Cross-check — do credible outlets report it too?
  • Image — reverse-search striking photos and clips
  • Don't be the spreader — if unsure, don't forward
ImpactMojoPost-Truth Politics 101www.impactmojo.in
Go deeper
  • Post-Truth — Lee McIntyre (a concise primer)
  • Manufacturing Consent — Herman & Chomsky
  • The Filter Bubble — Eli Pariser
  • Foolproof — Sander van der Linden (inoculation & prebunking)
  • Information Disorder — Wardle & Derakhshan (Council of Europe, 2017)
Pair this deck with ImpactMojo's Data Literacy, Media & Communications and Digital Rights 101 courses.
ImpactMojoPost-Truth Politics 101www.impactmojo.in
If you remember five things
  • Post-truth is about emotion and identity beating facts — not facts vanishing
  • Falsehood spreads faster than truth — novelty and outrage are its fuel
  • Your own brain is complicit — humility before certainty
  • The incentive does the damage — attention, not truth, is what the feed rewards
  • Resilience beats detection — prebunk, read laterally, pause before you forward
ImpactMojoPost-Truth Politics 101www.impactmojo.in
Post-Truth Politics 101 · Complete
Pause before
you forward.
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