Showing 13–24 of 64 articles
The detail that alters the entire discussion: Algorithms and networks
A small gesture can become a disproportionate signal. The system interpreted attention as preference without offering a clear way to correct it.
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Algorithms and networks: the responsibility that cannot be automated
Cross-context inference ignores human nuance. Distinguishing curiosity from need requires reviewing how recommendation systems manage memory, identity, and the right to dissent.
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Algorithms and Networks: The Decision Already Made for Us
The default order acts as an implicit editorial decision. Presented as technical neutrality, it reduces everyday control and turns comfort into a loss of agency we must question.
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Algorithms and Networks: The Amplification No One Requested
Freedom of expression does not guarantee the right to amplification. We analyze how algorithmic design transforms visibility into a product of incentives, rather than a conscious human choice.
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Algorithms and Networks: Beyond the Filter Bubble
The filter bubble lacks a single technical fix. Blaming the algorithm alone ignores human choices, contact networks, and prior habits that shape our digital experience.
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Algorithms and Networks: The Art of Slow Observation
Slow observation reveals what daily metrics hide. The aggregate indicator failed to distinguish between support, conflict, repetition, or sustainable participation.
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Invisible labor behind digital moderation
Automation does not erase human cost. Behind every label are people bearing the emotional weight of content, a key factor for genuine technological ethics.
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Digital novelty: algorithms, networks, and the loss of trust
Synthetic content shifts the cost of filling a network. Producing noise became nearly free, while verifying and repairing trust remained a slow and costly process.
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Algorithms and networks: the explanation that comes too late
The explanation that arrives after a sanction is too late. Without knowing the content, signal, or duration, it was impossible to correct or appeal meaningfully.
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The hidden cost of digital convenience
Infinite scrolling turns a pause into a product. We analyze how interfaces remove natural decision points and what ethical alternatives we can build to regain control over our attention.
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The silent promise: how algorithms define success
Each recommendation optimizes a specific goal, often a business function. Transparency requires distinguishing between formal compliance and the effective protection of people.
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Inequality often hides inside the average — the future as a common practice rather than a spectacle: Communities testing the future
Inequality often hides inside the average. Communities testing the future disaggregate outcomes, listen for absences, and share the power to correct.
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