Nick Couldry & Ulises A. Mejias — The Costs of Connection: How Data Is Colonizing Human Life

478 published claims from this book.

• 1980s neoliberal politics let market logic colonize all of life
• A critical algorithmic justice movement has forced platform policy changes
• A few firms vertically dominate every layer of the data extraction pipeline
• A liberatory universalism opposes Big Data’s totalizing reduction of life to data
• A majority of surveyed Americans reject data-collecting smart-home devices
• Abstracting value from life processes enables new commodified social relations
• Addressing data colonialism requires major new legal innovation.
• Algorithmic categorization erases the interactivity that defined older social categories.
• Algorithmic discrimination affects real people despite targeting only probabilistic data doubles.
• Algorithmic governance is emerging in justice systems worldwide without clear oversight
• An internet pioneer presciently enacted total surveillance culture before Facebook existed
• Apple participates in data colonialism despite its privacy-branded marketing
• Apple’s privacy-friendly claims coexist with tax avoidance and poor labor conditions
• Apps collect data beyond user control while framing collection as enhanced experience
• Apps now colonize even trivial bodily functions like thirst into trackable social data
• As citizens become more legible, the monitoring institutions themselves grow opaque.
• Attempts to game algorithms still confirm data relations’ force
• Audience exploitation arises from users becoming commodities, not from literal work
• Authoritarian states deploy data colonialism as effectively as market democracies
• Authoritarian states treat intensified connectivity as an advantage over freedom.
• Automated data environments override mutual expectations and unsettle liberal privacy
• Automated surveillance threatens the open-ended self-transformative capacity that defines selfhood
• Automation and AI are designed to eliminate laborers rather than liberate them.
• Automation-triggered falling profit rates push capital toward social quantification as a new revenue stream
• Autonomist ‘social factory’ theory cannot explain data extraction because it presumes labor-like activity
• Autonomy is threatened by capitalism’s mutual implication of life and technology
• Behavioral modulation attempts backfire because the activity itself re-confirms the data relation’s power.
• Behavioral risk models make constant tracking structurally necessary for insurers
• Big Brother-era uncertainty is inverted into certainty that breeds complacent nonchalance
• Big Data epistemology replaces population sampling with continuous extraction from whole populations
• Big Data logic rejects theory-driven hypothesis testing in favor of raw pattern extraction
• Big tech revenue lags older sectors but market capitalization has overtaken them.
• Billions now organize personal lives around data-dependent platform infrastructures
• Britain’s opium trade monetized addiction and monopsony to reverse its China trade deficit
• Capitalism is indifferent to the origin of the data it exploits for value.
• Capitalism is poised to consume its last remaining outside via data
• Capitalism now annexes life processes beyond labor, which orthodox labor-centered Marxism cannot explain.
• Capitalism operated simultaneously through multiple modes of production, not a single wage-labor system.
• Capitalism profits most by leaving parts of the production chain uncommodified
• Capitalism profits most from labor it never commodifies or pays
• Capitalism requires willing state complicity in producing compliant labor forms
• Capitalism was expanding before Marx as colonial extraction
• Capitalism’s defining move is abstracting exchange value from ordinary life processes
• Capitalism’s expansion axis has shifted to a new raw material
• Capitalism’s fundamental drivers have not changed despite the information economy
• Capitalist labor relations always involve three distinct forms of surveillance
• Capitalist valorization extends beyond monetized labor to the conditions of production themselves
• Cheap gig services today may create exploited providers tomorrow
• China is rapidly displacing the West as a global data gatekeeper
• China operates a self-contained cloud empire as advanced as the West’s
• China’s data platforms have not yet been given novelistic treatment
• China’s state AI policy targets economy-wide data integration
• Classifying poverty as social rather than moral or economic enables political change.
• Closed-platform control and tax avoidance mark Apple’s imperial posture
• Cloud computing converts data producers into renters dispossessed of their data
• Cloud infrastructure shapes social reality by predisposing everyday experience toward datafication.
• Cold War military-industrial investment made the internet’s corporate order possible
• Colonial conquest coupled physical seizure, cultural conversion, and communication infrastructure together
• Colonial consent was fictional because subjects could not understand the terms
• Colonial extraction justified first contact through preemptive legal-religious claims
• Colonial extraction logics are structurally recapitulated in contemporary data platforms
• Colonial land appropriation was framed as consent with violence as alternative
• Colonial management required objectifying territories through maps and data-gathering surveys.
• Colonial maps and modern network diagrams both render non-valued entities invisible.
• Colonial maps enabled wealth extraction by exploiting resource-access differentials
• Colonial power instrumentalized reason and thereby corrupted modernity’s promise
• Colonial racial ideology required actual imperial power and capitalism to mature.
• Colonial telecom infrastructure control persisted through independence
• Colonial violence shifts from physical extermination to economic relations as its costs rise
• Colonial-era information repositories prefigure today’s corporate data centers
• Colonial-style ownership extends to device production and cloud computing capacity
• Colonialism and capitalism form two sides of one continuous dispossession process.
• Colonialism and capitalism have been entangled since the sixteenth century
• Colonialism created the conditions for modern capitalism’s emergence
• Colonialism functioned through thingification that made the oppressed accept subjugation as natural.
• Colonialism granted subjecthood to dominated people without granting equality.
• Colonialism killed 90 to 95 percent of the Americas’ pre-conquest population.
• Colonialism operates as an internalized state of mind, not just external domination
• Colonialism operates through the twin mechanisms of appropriation and extraction of value.
• Colonialism produced knowledge and truth, not just ideology, to subjugate.
• Colonialism systematically dispossesses the colonized of resources under a justifying discourse of hierarchy
• Colonialism’s legacies persist long after colonial rule ends.
• Colonization video games normalize the 4X pattern of colonial extraction
• Colonized countries feed raw data into a value chain whose profits accrue to colonizers
• Colonized elites also helped exploit their own people under colonial protection.
• Competition in public services requires active state production, not deregulation
• Compliance with surveillance regimes can threaten the minimal integrity of selfhood
• Consent layered through digital networks can function as coercion
• Consumer data accumulation began with 1980s credit card marketing.
• Contemporary platform scandals obscure the deeper question of data appropriation for capitalism
• Continuous bodily surveillance now distinguishes lower-status from higher-status jobs
• Continuous classroom monitoring is marketed as an empowering selling point
• Continuous connection converts lived activity into machine-readable data and a branded, conditional ‘truth’.
• Continuous data appropriation erases the boundary separating self from economic power
• Continuous human data collection is not rational life-organization but a commercial fix.
• Continuous nudging undermines its own autonomy justification
• Continuous surveillance violates the bounded self-space whose absence destroys selfhood
• Continuous world-ordering is now a corporate and state power goal
• Corporate dataveillance replaces the state watcher with aggregated data doubles.
• Corporate rationality masks everyday data extraction as routine business rather than appropriation
• Corporate wellness programs surveil workers’ bodies under the guise of well-being.
• Corporate-controlled social knowledge reorders society in favor of corporations over citizens.
• Corporations now command a ‘God view’ of the social world called social caching
• Corporations treat streamed social data as a management surface
• Corporations will use personal data against individual interests unless checked
• Criminal data theft is integral to the social quantification sector.
• Critique of data platforms must target power relations, not ethics lapses
• Cross-border data flows replicate colonial patterns and concentrate through the United States
• Data abstractions strip narrative context to enable unlimited recategorization
• Data acquires extractability only through socially constructed relations, not as a natural given
• Data analytics progressed from describing internal data to prescribing every process and behavior
• Data appropriation threatens the minimal space of the self
• Data brokers erase the boundary between offline and online activity
• Data can be added to Marx’s fetishized trinity as the fruit of life processes
• Data capitalism’s colonial character rests on unequal global economic power.
• Data capture for profit is a recent, quality-of-life-altering development
• Data centers could consume up to 13 percent of global electricity by 2030
• Data collection byproducts are legally unprotected and cheaply traded in developing countries.
• Data collection inherently differentiates, and applied to social structures it compounds inequality.
• Data collection is consented to out of pressing need for essential services.
• Data collection itself, not just its uses, harms the self’s integrity
• Data colonial extraction persists by converting data relations into durable social relations
• Data colonialism annexes human life itself to capital
• Data colonialism can only be understood within the longer history of colonialism and capitalism
• Data colonialism completes capitalism’s shift from extracting nature to extracting social life.
• Data colonialism constitutes an antiecology that disrupts the self’s home space
• Data colonialism continues the older colonialist economic and social order.
• Data colonialism drains the social space from which truth-to-power critique could arise.
• Data colonialism erodes the rational subject whose autonomy legitimizes law itself
• Data colonialism exceeds any single scandal or company’s data practices.
• Data colonialism expands capitalism by absorbing previously uncommodified life streams
• Data colonialism extends neoliberal ideology by appropriating all of life, not just non-market spheres.
• Data colonialism extends Polanyi’s fictional commodities to turn reality into tracked behavior
• Data colonialism extends profit extraction to every layer of human experience
• Data colonialism extracts ever more layers of human life as raw material
• Data colonialism extracts human life as data for profit through data relations.
• Data colonialism fuses economic and cognitive power in an order as durable as capitalism
• Data colonialism gives states and markets new power to produce social knowledge
• Data colonialism governs as absolutely as historical colonialism, but without physical violence
• Data colonialism is a literal process, not merely a metaphor
• Data colonialism is a transitional phase preceding a new extractive order.
• Data colonialism is an interlocking six-force system, not just platforms
• Data colonialism is backed by both the US and China as a global order
• Data colonialism is incompatible with democracy in all its forms
• Data colonialism is jointly driven by corporate and state power
• Data colonialism is misread through Autonomist Marxism’s labor framework and needs a colonial-era timescale
• Data colonialism is not a Western-only project but operates globally and within societies
• Data colonialism may attack the very boundaries of the self.
• Data colonialism may eliminate the tactical spaces resistance relied on.
• Data colonialism must be theorized by combining, not choosing among, critical frameworks
• Data colonialism operates through engineered addictive media rather than raw extraction.
• Data colonialism replaces cheap resources with cheap social data as its raw material
• Data colonialism requires transforming society itself, not just extracting value
• Data colonialism serves capitalism’s drive to maximize control of production inputs.
• Data colonialism still lacks a countermovement like the one that curbed industrial capitalism.
• Data colonialism, like historical colonialism, generates legitimating ideologies.
• Data colonialism, social quantification, and Cloud Empire form a single framework
• Data colonialism’s continuity is functional, not literal, with historical colonialism.
• Data colonialism’s deepest danger is that it succeeds so well we stop wanting freedom
• Data colonialism’s extractive logic predates social media by decades in globalized industrial capitalism.
• Data colonialism’s raw material is human life itself, not territory or labor
• Data colonialism’s temporality differs from prior colonialism’s engagement with the past
• Data does not become a commodity until extraction processes demarcate it
• Data exploitation resembles capitalism’s free ride on uncommodified life, not factory labor
• Data extraction annexes life processes beyond productive labor
• Data extraction by platforms is far broader than the Cambridge Analytica scandal
• Data extraction constitutes a new phase of colonialism rather than a metaphor.
• Data extraction costs fall hardest on the vulnerable under a moralistic blame frame.
• Data extraction extends capitalism’s exploitation to all human life, echoing colonial raw-material logic
• Data extraction functions like colonial resource appropriation despite different modes
• Data extraction infrastructure was built decades before social media through relational databases and logistics.
• Data extraction infrastructures deform the self that autonomy and freedom depend on
• Data extraction is historically unprecedented yet clarifies through colonial-capitalist continuity.
• Data extraction needs to feel natural and normal, not like theft, to stabilize
• Data extraction principles predate social media by decades in globalized capitalism
• Data extraction stabilizes only when naturalized as a normal social form.
• Data extraction under the Cloud Empire mirrors historical colonial extraction patterns
• Data infrastructure lets markets and states produce basic social knowledge for the first time.
• Data is a social by-product, not a natural substance, captured by distant third parties
• Data is defined by its external storage infrastructure and profit destination
• Data plays the role today that money played in industrial capitalism
• Data processes create a new injustice that is simultaneously social and cognitive.
• Data relations are becoming as naturalized as labor relations
• Data relations are the social form that makes data extraction seem natural and normal
• Data relations can operate through brute necessity with zero consent.
• Data relations expand by removing all limits to data appropriation
• Data relations extend capital extraction beyond labor into all social life
• Data relations fuse knowledge production with value extraction in one movement
• Data relations originate in specific transactions that motivate capturing someone’s life traces.
• Data value depends on local negotiation and control rather than universal surveillance
• Data-colonial knowledge regimes are self-validating through world-reconfiguration rather than testing.
• Data-driven governance converts democratic dialogue into a corporate-owned probability spectrum
• Data-driven logistics extend scientific management to the whole social domain, not just factories
• Data-driven targeting achieves an intimate, auto-fitting mould over individual subjects.
• Data’s abstract interchangeability, Marx’s commodification logic, is the root of data-relation power imbalances.
• Data’s commodifiability rests on abstracting away individual distinctiveness
• Data’s core function is differentiation, which compounds existing social discrimination.
• Datafication erases the prior boundary between inner life and external forces
• Datafication ideology removes the obstacles that once limited capital’s extraction from life streams.
• Datafication may disrupt autonomy at the level of self-boundedness itself
• Datafied connection is sold as solidarity while actually substituting platform-mediated service
• Datafied discrimination is opaque to subjects and operators alike, so uncorrected
• Datafied labor regimes resemble slavery only in surveillance continuity, not in status
• Datafied social knowledge overrides older forms without being accountable to those it describes.
• Datafied subjects may progressively unlearn the norms of self-autonomy.
• Datafied systems collapse social double contingency into single contingency.
• Datafied systems may replace bodily self-knowledge with calibrated external monitoring.
• Dataism elevates algorithmic power above the older ecological view of life
• Decolonial data critique can reframe current social realities beyond commodified inputs.
• Decolonial theory replaces universal worldviews with pluriversal ones and subaltern standpoints
• Decoloniality rejects postcolonialism for complicity in Western universalist thinking
• Default data harvesting contradicts capitalism’s own espoused freedom.
• Dehumanizing injustice should produce hope rather than despair
• Democracy and empire are fundamentally incompatible, dooming colonial rule
• Digital automation threatens up to 47 percent of US jobs
• Digital colonialism rests on layered ownership spanning devices, cloud, and content.
• Digital inclusion of the poor comes at the cost of predatory data profiling
• Digital natives are actually populations dispossessed by data relations.
• Digital platforms hijack life into data whose insights are sold back to us
• Distributed commercial data collection is structurally opaque and hard to contest
• Each robot per thousand workers measurably cuts employment and wages
• Earlier data-colonialism critiques treated the term only literally
• Early statistical discrimination was visible and contestable because few variables were in play.
• Economic transactions are embedded in complex moral relations, not just rational numbers
• Edu-tech firms frame pre-digital schooling as a deficient factory model
• Educational institutions resist data-collection surveillance far less than health care does
• Empire expanded through infrastructure that bundled transport with information distribution.
• Employers co-opt wellness tracking to surveil workers and boost productivity
• Estimates of US job automation risk range widely from 9 to 47 percent
• EULAs reproduce the structure of colonial Requerimientos
• European historicism made racial difference explain subordination instead of colonial power.
• European knowledge about the Orient served domination rather than truth.
• Even anti-colonial activism via social media reinforces the corporate systems of settler colonialism
• Facebook builds fabricated social realities that normalize surveillance as interaction.
• Facebook’s Free Basics captured data from already-connected users rather than bridging the divide
• Facebook’s growth practices aimed at annexing life to capital under connection’s ideology.
• Facebook’s Open Graph program captured user data across third-party platforms
• Facebook’s profit model conditions users into living social lives on its platforms.
• Facebook’s user license is transferable worldwide and royalty-free
• Failed self-trackers report losing self-regulation and feeling estranged from themselves
• Fingerprinting in the colonies extended police power over the already-suspected rather than identifying unknowns
• Fitness-tracked exercise is a contested test case for whether data generation counts as labor
• For Marx the commodity structures people’s actions, worldviews, and dispositions
• Formal decolonization did not yield genuine independence because colonial debts and legacies persisted.
• Framing technology as autonomous disguises who profits from data extraction
• Freedom is a self-determined space beyond any totality, defended against power’s ownership.
• Freedom is realized through social relations and dies when institutional forces deform them
• Freelancers trade personal surveillance for faster guaranteed payment.
• General data-protection frameworks cannot challenge extractive data economies.
• Geopolitical privacy regime battles will shape data colonialism’s global trajectory.
• Gig work shifts labor from white wealthy clients to poorer black and Latino workers
• Gig-economy disruption benefits dissipate as consumers become workers
• Gig-economy liberation rhetoric masks new and deeper labor exploitation
• Global data empires remain nationally rooted despite their worldwide extractive reach
• Global internet power is concentrated in a secure US-Chinese corporate duopoly.
• Google’s 2008 DoubleClick alliance fused search and profile tracking
• Government bailouts prevent capitalist crises from restoring profitability
• Government-tech company surveillance collaboration is a global feature, not a Chinese anomaly
• Greater connectivity systematically decreases rather than increases overall security.
• Habermas’ colonization metaphor is undeveloped and presumes a false system-lifeworld split
• Hegel anticipated how institutions can structurally undermine their own founding values.
• Historical colonialism had four structural components that data colonialism may replicate.
• Historical colonialism had four structural components that define its form
• Hobbes grounded Leviathan on humans differing from bees in competing for honor
• Human data requires active configuration and aggregation before it becomes economically valuable.
• Human experience becomes capital’s next frontier after geography and nature
• Human life as organized through data is the new direct input of capitalism
• Imagination is the most practical starting point for opposing data colonialism
• Immanuel Kant supplied the first scientific definition of race in 1775.
• In fifteen years the dominant cultural metaphor shifted from resisting face-as-barcode to accepting it.
• Incomprehensible terms force users into uninformed agreement
• Incumbent non-tech corporations, not platforms alone, drive data colonialism’s expansion.
• India’s IT sector shifted from Western outsourcing to state-backed domestic infrastructure
• Indigenous digital studies offer a grounded normativity that empowers refusal of data systems.
• Indigenous frameworks offer alternatives to data-colonial modes of being
• Individual resistance acts against data colonialism must be reframed as collective projects
• Industrialization forced England into market-organized life that proved nearly unlivable
• Insect metaphors for human collectivity obscure capitalism’s human costs.
• Internet commercialization transformed an infrastructure into a space dimension overlaying society
• Internet-era data extraction far exceeds pre-internet social data sources
• Just-in-time scheduling algorithms leave most US retail workers without fixed shifts
• Keyword monitoring is offered as the safety net enabling online freedom
• Large-scale health-data aggregation can escape existing legal medical protections
• Latour’s ANT undermines defenses of human agency against data-driven social knowledge
• Legitimate data use requires respect for the human subjects the data refers to
• Local resistance experiments are insufficient without a wider vision of solidarity.
• Logistics infrastructure forms the organizational core of contemporary data colonialism
• Losing the very idea of the freedom we lack is the deepest unfreedom.
• Lower-status work faces far more surveillance than higher-status work
• Machine learning produces knowledge no one, even its engineers, can explain.
• Machine learning underlies Big Data and drives today’s massive investment.
• Machine-learning proxies black-box complex social domains to enable intervention
• Machine-to-machine data traffic will soon make humans minority participants in communication
• Mandated data-disclosure interrupts the presumed naturalness of routine data collection.
• Market economies require deliberate political construction, not natural emergence
• Marketers justify deep personal tracking with personalization, but the logic is circular.
• Marketers pioneered tracking through cookies before social media platforms refined it
• Marketers, not states, pioneered cross-device tracking of individuals as a commercial necessity.
• Marx believed colonial railroads and newspapers would unify India, mirroring internet promises.
• Marx’s general intellect can empower capital’s appropriation of social life, not only liberate workers.
• Marx’s trinity of fetishized objects now gains data as a fourth
• Mass automation forces states to tighten social controls on the unemployed
• Meaning arises from interdependence in difference, not from data or content.
• Media literacy normalizes data extraction rather than resisting it and fails in practice.
• Medieval Christians equated automata and machinery with Muslim sorcery
• Micro-level data relations are rendered commonsensical by extractive rationalities
• Microtask workers train the AI systems that will replace them
• Mobile connectivity transformed the internet into a continuous overlay of everyday life.
• Mobilizing through commercial platforms simultaneously strengthens the order being opposed
• Modern logistics anchored data-extraction infrastructure decades before social media
• More digital connection reduces rather than increases security
• Most US job applicants face automated personality screening before any human contact
• Neocolonialism means power exerted at a distance, not through territorial occupation.
• New forms of collectivity are separable from the exploitative data relations that coinhabit them
• Nineteenth-century communication infrastructure was integral to colonial dispossession of indigenous peoples.
• Nineteenth-century statistics was publicly debated; today’s ML computing the social goes unobserved.
• No single corporation possesses the claimed ‘all’ of Big Data because harvesting is competitive
• Non-Western knowledge systems hold totality and heterogeneity together, not apart
• Normal human activities that feel unproductive become exploited as data
• Only 2010s technologies made surveillance effectively autonomous
• Opaque data systems are arbitrary because their goals cannot be reflexively integrated
• Order can mean beneficial balance rather than imposed structure.
• Paying users for their data would not remedy the harms of continuous surveillance
• Per-user market valuation differs dramatically across major platforms.
• Personal reflection is reframed as data withholding once social-knowledge norms take hold
• Personalization rhetoric makes surveillance attractive, and its critics get cast as irrational.
• Persuasive design’s founding science is literally named after capturing data.
• Pervasive data sensing is built into basic computing architecture, not merely added by platforms.
• Pessimism about regulating data markets reflects neoliberal dominance of market reference points.
• Platform consent silently bundles in ownership claims to users’ life data.
• Platform data extraction operates as a continuous cache-gathering of social life.
• Platform executives speak as social theorists to legitimize their data extraction models
• Platform gatekeeping power now operates at a global scale unlike colonial toll towns
• Platform microtask laborers train AI that will eventually displace them
• Platform mission statements echo colonial law’s benevolent attitude toward the subjugated
• Platform monopolies are also monopsonies over the data users produce
• Platform power rests on structural influence over data, not revenue size.
• Platform profit does not come from exploiting labor but from commodifying social life itself
• Platform seamlessness must be engineered by removing data-flow barriers
• Platform use by anticolonial movements can inadvertently reinforce the corporate systems they resist.
• Platform work fuses data relations with labor relations at unprecedented scale
• Platforms are the principal infrastructure through which capitalist data appropriation is normalized
• Platforms exceed most nation-states in network size and act as social infrastructures
• Platforms extract data as a form of unpaid payment from users
• Platforms extract free labor from users in exchange for recognition and perks
• Platforms extract free work while paying recognition and perks instead of wages
• Platforms extract value from each transaction without absorbing employment obligations
• Platforms reconfigure human life to continuously produce extractable data streams.
• Platforms steer how people value themselves through reputation metrics and gamified data extraction.
• Platforms’ convening power forces all content into platform-ready extractive form.
• Pope Francis links technological control to treating the world as formless.
• Postcolonial governments silenced dissent while claiming media democratization, with Western backing
• Postcolonial scholarship covers four areas from counterhistory to decolonized methodologies.
• Postcolonial theory can generate counterpresents, not just counterhistories
• Postone reads Marx’s core capitalist form as commodification, not labor relations
• Predictive policing algorithms already operate across at least eight countries’ agencies.
• Primitive accumulation continues alongside capitalism rather than merely preceding it
• Privacy as a term remains necessary but insufficient against data exploitation.
• Privacy fixes leave intact data science’s silence about capitalism
• Privacy is the minimal self-integrity that underlies all cultural constructions
• Privacy law’s negative liberty tradition conflicts with capitalism’s data extraction drive.
• Privacy remains indispensable despite data colonialism’s corrosive effects
• Private corporate data collection only rivaled state capacity in the 1970s-80s.
• Privately controlled data extraction produces social classifications that entrench inequality
• Property-based and data-portability arguments for privacy have limits and alternatives
• Protectionists cast offshoring as exploitative colonial harm abroad
• Proxy-based preventive action escapes scrutiny because its necessity can never be demonstrated.
• Publicly owned platforms could rival corporate platform control.
• Purely relational privacy leaves no entity whose autonomy is protected
• Quantification allocates the power to measure to some actors over others.
• Quantified-self data systems collapse the reflexive space in which freedom operates
• Quitting individual platforms leaves the data colonial order untouched
• Refashioning humans as data-open inforgs makes them continuously available for external modulation.
• Reforming individual platforms within a system replicates rather than challenges its foundations
• Regulation like the GDPR reshapes but does not dissolve data-colonial power.
• Rejecting data fundamentalism is central to decolonizing social knowledge
• Relational privacy requires collective maintenance and second-order control over values
• Repairing algorithmic harms requires resources the poor already lack.
• Research should be a citizen’s right to knowledge tools, not an academic monopoly
• Resistance to data colonialism must confront global capitalism, not just platforms
• Resisting data colonialism is fundamentally an epistemological question that will shape the social order.
• Resisting data colonialism requires an ecology-of-life frame, not legal regulation
• Resources only become cheap when ideological and legal frameworks rationalize their appropriation.
• Rising inequality pushes capitalism to extract profit from unpaid social participation.
• Routine bodily self-monitoring has become a competitive, profit-generating infrastructure
• Russia and India host domestic digital platforms competing with the US-based quantification sector
• Scientific racism framed lack of Western knowledge as grounds for extermination
• Seamless data flows breed opaque inequality and uncontrolled surveillance
• Self-tracking autonomy comes at the cost of permanent submission to external data systems
• Self-tracking practices reproduce data capitalism rather than resist it
• Sensor-based telematics tracks and controls transport workers across most of US trucking.
• Sharing-economy platforms fuse data extraction with labor at unprecedented scale
• Sharing’s semantic unboundedness masks the corporate capture of data
• Slavery and surveillance data relations differ in kind yet share a crucial structural commonality
• Slavery made Euro-American trade uniquely self-catalyzing before industrialization.
• Slavery’s advantage, not intrinsic superiority, let European nations become capitalist superpowers.
• Slavery’s management rationalities seeded the data-optimization mindset of modern capitalism
• Smart scheduling replaces stable workforces with unpredictable just-in-time temp shifts
• Smart tools differ from industrial machinery in directly using their users
• Smart-city narratives mask extractive data capitalism by rendering the unconnected invisible.
• Social caching grants corporate power privileged legibility over human life
• Social media originally appealed through collective joy, now threatened by commercial management
• Social quantification has shifted from a state capacity to a private-sector one
• Social quantification is a core policy goal and geopolitical arena in China
• Social quantification is a subsector of the wider ICT business sector
• Social quantification lets corporations profit from participation without commodity purchase
• Social quantification today serves corporate private access, not societal legibility.
• Social relations are constituted through mediating processes
• Social science complicity weakens resistance to data colonialism
• Social sciences may themselves be complicit in datafied hollowing out of the social
• Society itself was historically constructed through calculability.
• Some religious prohibitions against social media have backfired as publicity.
• Spanish mining law declared natives owners while they were worked to death
• State data collection was capped by census frequency; commercial collection is continuous
• State surveillance depends on corporate data collection
• State-mandated privacy standards coexist with mass state data access.
• States now depend on corporate data knowledge about their own citizens.
• Statistical norms functioned as instruments of social normalization and control in the nineteenth century.
• Statistics’ claim to objectivity merged with racial hierarchies and eugenics in the nineteenth century.
• Streaming norms exist because cloud ownership reduces users to data renters.
• Submission to workplace surveillance is directly tied to economic benefits for workers.
• Surveillance erodes interpersonal trust by removing the right to act without it
• Surveillance harms by invading the self’s space on another’s behalf.
• Surveillance is not new; data appropriation networks order all of economic life
• Surveillance is repackaged in the language of personal freedom to gain acceptance
• Surveillance itself is ancient; data appropriation of life is the novelty
• Surveillance of workers installs most densely in low-wage work.
• Tech firms dominate markets by capitalization despite modest revenue shares
• Tencent’s per-user value exceeds half a million dollars in market terms.
• Terms like surveillance and platform capitalism misname an unchanged capitalist core
• The 4X framework exposes continuity between historical and data colonialism
• The belief that all life should become data is ideological, not neutral.
• The Big Five carve up the data economy under informal noncompetition that blocks rivals
• The big five divide the data market without needing formal coordination.
• The boundary between workplace and workforce surveillance is dissolving
• The Cambridge Analytica scandal exposed only an antechamber of platform data mining
• The Cambridge Analytica scandal revealed a hidden data mine but no map of it.
• The cloud centralizes data ownership in corporations that earlier internet models distributed.
• The cloud metaphor actively shapes rather than merely describes social reality
• The cloud operates as an episteme that pre-organizes social life for datafication
• The colonizer’s civilizing narrative turned lethal exploitation into an ethical obligation
• The contractor framing of gig work mainly benefits employers, not workers
• The digital divide turns on who can analyze data, not who owns it
• The East India Company taxed 93.7 million South Asian subjects annually
• The EU may impose GDPR as a standard on trading partners.
• The FCC broadband privacy rules were repealed by Congress in 2017.
• The inevitability of datafication is itself a myth of data colonialism
• The Internet of Things extends capital extraction into post-purchase consumption
• The internet’s connectedness is uneven and dominated by US and Chinese firms
• The internet’s many-to-many ideal collapsed into a many-to-one structure
• The internet’s military-industrial origins enabled a new economic and social order.
• The key platform struggle is denaturalizing data abstraction, not securing payment for data
• The Mechanical Turk’s hidden human operator concealed an apparent automation
• The mere possibility of harmful data use, not actual harm, curtails autonomy
• The personal assistant’s promise to know the user is explicitly ‘unbounded’
• The Quantified Self movement concedes individual property rights in data
• The railroad enhanced colonial governance by extending tax collection and information flows.
• The recording party vanishes from view as the recorded subject is fully exposed
• The self comprises an open space of possibility invaded by monitoring
• The social quantification sector is defined by data extraction, not by device type
• The social quantification sector spans device makers, platforms, brokers, and data-reliant firms
• The social quantification sector spans ICT and entertainment, not just data infrastructure.
• The tech sector’s GDP and employment footprints are surprisingly small
• The term social in social quantification does not imply social coherence or order
• The trade-off of annexing social life for anti-capitalist tools is a bad deal
• The unifying ‘dataism’ myth claims current data infrastructure is inevitable and transcendent.
• Uber manipulates driver-facing algorithmic information to depress wages
• Unaccountable abstract social knowledge functionally serves data-colonialist capitalism.
• US courts interpret the First Amendment to protect data gathering as corporate free speech.
• US law may criminalize researchers running platform fairness tests
• User consent does not extend to background data aggregation through app APIs
• User-upload platforms shift copyright monitoring costs onto content owners while underpaying them
• Voice does not scale into data analytics, and that exclusion is deliberate.
• Voluntariness of self-tracking does not blunt its extractive function
• Widespread life monitoring grew from the 1980s onward
• Willing personal tracking normalizes tracking as infrastructure in less voluntary domains
• Wireless carriers routinely sell detailed customer location data to commercial buyers.
• Workplace monitoring has grown more intimate than any past surveillance regime.