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Counterfactual assessment of social media interventions by separating exposure from engagement — arXiv:2610.37864

Source: arXiv (en)
Original: https://arxiv.org/abs/2610.37864
License (as archived): CC0-1.0
Archived: 2026-11-03T08:08:33.488Z
SHA-256 of the archived text: d82f23121e80b0c0b417d081e82598df9615dc6ac0444b2f0d7615fa6c762053
Stable URL of this page: https://metraipolis.com/documento/dc_eea0bcdcf79a

How to cite

Counterfactual assessment of social media interventions by separating exposure from engagement — arXiv:2610.37864 — arXiv (en), https://arxiv.org/abs/2610.37864 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_eea0bcdcf79a (Metraipolis archive dc_eea0bcdcf79a, sha256 d82f23121e80b0c0b417d081e82598df9615dc6ac0444b2f0d7615fa6c762053)

BibTeX

@misc{dceea0bcdcf79a,
  title = {Counterfactual assessment of social media interventions by separating exposure from engagement — arXiv:2610.37864},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2610.37864},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_eea0bcdcf79a; sha256 d82f23121e80b0c0b417d081e82598df9615dc6ac0444b2f0d7615fa6c762053},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2610.37864. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Social media interventions are usually evaluated in individual-level experiments, which are costly to scale and often miss collective effects. We propose the Exposure--Engagement model, whose parameters separately control what social media users are exposed to (recommendation) and how they engage (behaviour). After fitting it to the Italian Twitter debate (2018--2022), we validate it at individual and collective levels. We simulate behavioural interventions (prebunking and accuracy prompts), calibrated on effect sizes, and a recommender-system intervention (chronological feed), comparing effects on engagement, attention diversity, and segregation. All three reduce engagement. Behavioural interventions slightly reduce diversity, leaving segregation unchanged, whereas the chronological feed increases diversity and reduces segregation. For these interventions, changing recommendation does more for the debate's structure than changing behaviour. We design a recommender-system intervention that increases engagement and diversity while reducing segregation, although with about a tenth of the chronological feed's gains, showing the framework's potential for pro-social intervention design.

Tema degli esploratori: governance digitale e beni comuni (elenco arXiv cs.CY, nuovi lavori del giorno).
Categorie arXiv: Physics and Society (physics.soc-ph) ; Computers and Society (cs.CY); Social and Information Networks (cs.SI).
Pagina del lavoro: https://arxiv.org/abs/2610.37864 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-11-03T08:00:53.795Z dalla pagina https://arxiv.org/list/cs.CY/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).