The Environmental Costs of Surveillance Capitalism: A Case Study of Social Media Platforms
2026-05-27T07:23:51Z•c35d1d8066f0ad7f0d1b4cbd6740dc6fd64bf404c27a69e58b335be3337fba50
AI-generated contentElasticsearchGDPRRTBFRight to be Forgottenaccessibilityalgorithmic biascarbon emissionsdata-retentiondisability studiesenvironmental impactfairnessgenerative AIhiring discriminationintellectual propertyprivacyqueueing theoryreproducibilitysurveillance capitalismworkflow risk
What happened
Feed of recent arXiv papers (CS / security & policy adjacent) covering: the material and carbon costs of surveillance capitalism (case study X/Twitter vs Mastodon) and excess telemetry/data-retention (“corporate overhead”); legal and implementation challenges around AI-generated IP and the Right to be Forgotten (RTBF), including a proposed two-phase mitigation and an Elasticsearch RTBF capability; algorithmic bias and monoculture risks in hiring systems with demonstrated racial disparities; risks that generative-AI assistance can worsen workflow congestion and rework; and several socio-ethical
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_cy
- Record identifier
- c35d1d8066f0ad7f0d1b4cbd6740dc6fd64bf404c27a69e58b335be3337fba50
- Enrichment time
- 2026-05-27T07:23:51Z
- AI-assisted enrichment
- Yes
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