Der ‚freie Markt‘ hat Strukturen hervorgebracht, die Hayeks eigenen Zwangskriterien entsprechen – nicht durch staatliche Planung, sondern durch private Machtkonzentration.
Plattformen wie X zeigen, wie algorithmische Architektur und politische Ambitionen die Freiheitsrhetorik untergraben.
Algorithmen bevorzugen bestimmte Inhalte bevorzugen, oft solche, die Polarisierung und Engagement maximieren (Huszár et al. 2022).
Kazakhstan Aims to Boost IT Services Exports to $5 Billion by 2030
Selective Outrage: Why Big Data’s Piracy Problem Gets a Pass
By Cliff Potts, CSO, and Editor-in-Chief of WPS News
Baybay City, Leyte, Philippines — April 21, 2026
The Double Standard Nobody Wants to Admit
For years, the United States and its allies have criticized other regions—particularly China and parts of Asia—for weak enforcement of intellectual property rights.
The argument is familiar:
These practices are labeled clearly and repeatedly:
Piracy.
But when similar behavior appears inside Western technology systems, the language changes.
It becomes:
The behavior does not change.
Only the description does.
What Big Data Is Actually Doing
Modern AI and data platforms operate by ingesting large volumes of human-created content.
That includes:
This material is then:
Those outputs are monetized through:
In many cases, the original creators:
That is the functional reality.
Why This Fits the Definition of Piracy
Traditionally, piracy has meant:
The use or reproduction of copyrighted material without permission or compensation.
The current system does not always reproduce content verbatim.
But it does:
The distinction between copying and extracting becomes less meaningful when the outcome is the same:
Whether the term used is “training” or “processing,” the economic effect mirrors what has historically been called piracy.
The China Comparison
Western governments frequently point to China as an example of systemic intellectual property abuse.
And in many cases, those criticisms have been valid.
But that raises a question:
Why is one form of unauthorized use treated as unacceptable, while another is normalized?
If:
Then:
The inconsistency is difficult to ignore.
The Language Shield
Part of the reason this continues is language.
Terms like:
Create distance from what is happening.
They make the process sound technical and abstract.
But behind that language is a simple dynamic:
Changing the vocabulary does not change the structure.
Why This Matters Now
This issue is becoming more urgent as AI systems expand.
The more these systems rely on:
The more they depend on the continued existence of creators.
If those creators are not supported:
This is not just a fairness issue.
It is a structural one.
The Likely Outcomes
There are only a few ways this resolves:
None of these paths avoid the core issue.
They only determine how it is addressed.
The Bottom Line
The debate is not about whether technology should advance.
It is about whether the people whose work fuels that advancement are recognized and compensated.
When value is taken without compensation, the term “piracy” has historically been used.
If the same outcome is occurring under different language, the question is not whether the term is uncomfortable.
The question is whether it applies.
If you read this and it matters, help me keep it going: https://www.patreon.com/cw/WPSNews
References
Anderson, C. W., Bell, E., & Shirky, C. (2015). Post-industrial journalism: Adapting to the present. Columbia Journalism School.
OpenAI. (2023). GPT and the future of content generation.
Google. (2023). Search Generative Experience (SGE) overview. https://blog.google/products/search/generative-ai-search
World Intellectual Property Organization. (2021). Understanding copyright and related rights. https://www.wipo.int
#ArtificialIntelligence #bigData #copyright #digitalEconomy #intellectualProperty #Technology #WPSNews
The intersection of mobile ubiquitousness and algorithmic targeting has fundamentally altered the landscape of compulsive behavior. 🏛️📜
"Why Online Gambling Addiction Is Rising in 2025 and Beyond." For those interested in tech regulation, behavioral psychology, and public health, this is an excellent resource.
Full article here:
🔗 https://www.mattsheabooks.net/why-online-gambling-addiction-is-rising-in-2025-and-beyond/
#PublicHealth #MattShea #TechEthics #BehavioralScience #DigitalEconomy #SocialAwareness #GamblingHarm
Publiquei hoje no @JotaInfo este artigo sobre o uso da política comercial dos EUA como arma regulatória no digital, o caso TikTok e o que o Brasil está fazendo para colocar limites a esta sanha de controle da sua soberania.
https://www.jota.info/opiniao-e-analise/artigos/a-vitoria-de-pirro-e-seus-limites
Publiquei hoje no @JotaInfo este artigo sobre o uso da política comercial dos EUA como arma regulatória no digital, o caso TikTok e o que o Brasil está fazendo para colocar limites a esta sanha de controle da sua soberania.
https://www.jota.info/opiniao-e-analise/artigos/a-vitoria-de-pirro-e-seus-limites
Data Centres: A Shadowy Promise of Employment
Data centres create thousands of temporary construction jobs but only a few permanent roles. Find out how many jobs are created and why it matters for local communities.
#DataCentreJobs, #TechEmployment, #ConstructionImpact, #FutureOfWork, #DigitalEconomy
https://newsletter.tf/data-centre-jobs-construction-vs-permanent-roles/
Data centres create thousands of jobs during building but only around 30 permanent staff are needed for each facility once operational. This is much less than many other industries.
#DataCentreJobs, #TechEmployment, #ConstructionImpact, #FutureOfWork, #DigitalEconomy
https://newsletter.tf/data-centre-jobs-construction-vs-permanent-roles/
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