Measuring Relational Risk in VLOPs: Field evidence and audit implications for DSA Systemic Risk Assessment
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| Formato: | Recurso digital |
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2026
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| _version_ | 1866902078938415104 |
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| author | Nogués, Nicko |
| author_facet | Nogués, Nicko |
| contents | <p>This science-for-policy brief presents findings from a 45-day observational Instagram field study conducted between 10 March and 21 April 2026 as part of the CARA Initiative. The study examines whether VLOP recommender systems can expose newly created, passive accounts to high-intensity content within an identity-sensitive masculinity ecosystem, without search, follows, posting, likes, comments or active engagement.</p> <p>The brief introduces CARA — Cohesion & Amplification Risk Assessment — as an operational measurement layer for observing relational risk, exposure trajectories, content intensity and algorithmic positioning in recommender systems. It summarises key field findings, including early Level 4 exposure in two new accounts, sustained Level 3 exposure in a neutral-entry account, and a calibrated CIS result in which Gate F was not activated.</p> <p>The document is intended for policy, regulatory and institutional audiences, particularly in relation to DSA systemic risk assessment, external audit methodology, ECAT/JRC-oriented discussion, and data-access needs under DSA Article 40. It is a policy-facing summary and differs from the full working paper in scope, format, length and intended audience.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19863879 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Measuring Relational Risk in VLOPs: Field evidence and audit implications for DSA Systemic Risk Assessment Nogués, Nicko CARA Cohesion and Amplification Risk Assessment CSAA relational risk algorithmic amplification recommender systems VLOPs Digital Services Act DSA Article 34 DSA Article 40 systemic risk assessment platform governance algorithmic transparency external audit ECAT JRC identity-sensitive ecosystems masculinity ecosystems Global South AI governance online harms social cohesion <p>This science-for-policy brief presents findings from a 45-day observational Instagram field study conducted between 10 March and 21 April 2026 as part of the CARA Initiative. The study examines whether VLOP recommender systems can expose newly created, passive accounts to high-intensity content within an identity-sensitive masculinity ecosystem, without search, follows, posting, likes, comments or active engagement.</p> <p>The brief introduces CARA — Cohesion & Amplification Risk Assessment — as an operational measurement layer for observing relational risk, exposure trajectories, content intensity and algorithmic positioning in recommender systems. It summarises key field findings, including early Level 4 exposure in two new accounts, sustained Level 3 exposure in a neutral-entry account, and a calibrated CIS result in which Gate F was not activated.</p> <p>The document is intended for policy, regulatory and institutional audiences, particularly in relation to DSA systemic risk assessment, external audit methodology, ECAT/JRC-oriented discussion, and data-access needs under DSA Article 40. It is a policy-facing summary and differs from the full working paper in scope, format, length and intended audience.</p> |
| title | Measuring Relational Risk in VLOPs: Field evidence and audit implications for DSA Systemic Risk Assessment |
| topic | CARA Cohesion and Amplification Risk Assessment CSAA relational risk algorithmic amplification recommender systems VLOPs Digital Services Act DSA Article 34 DSA Article 40 systemic risk assessment platform governance algorithmic transparency external audit ECAT JRC identity-sensitive ecosystems masculinity ecosystems Global South AI governance online harms social cohesion |
| url | https://doi.org/10.5281/zenodo.19863879 |