aceThe Algorithmic Sanctuary: Social-Interaction Burnout, Loneliness, and Emotional Attachment to AI Companions Among Young Adults in Indonesia
Post-pandemic digital life has produced a new affective phenomenon: large-language-model “AI companions” that invite two-way parasocial relationships. Counter-intuitively, the most intense users in urban Indonesia appear to be not the physically isolated but socially active young adults experiencing interaction burnout, who treat AI as a refuge from the judgment costs of a collectivist culture. Yet no integrated model has tested why relational strain translates into machine attachment in a Global-South setting.…
Socially active young adults experiencing social-interaction burnout use AI companions as an algorithmic sanctuary to avoid judgment costs in collectivist culture.
Higher social-interaction burnout and subjective loneliness predict stronger emotional attachment to AI companions among young adults, with parasocial interaction mediating the relationship.
Evidence
- Peer-reviewedOpen Access Indonesia Journal of Social Sciences2026-06-22
How should this claim be treated?
Truvace Impact Record TRV-2026-0164, v1: “The Algorithmic Sanctuary: Social-Interaction Burnout, Loneliness, and Emotional Attachment to AI Companions Among Young Adults in Indonesia.” Truvace, 2026-07-13. /record/TRV-2026-0164 (accessed at citation time). sha256 c8ad1c021117b1e4…
Calibration history
Every change to this record since certification, in the open. None yet — the reading has held since it entered the record.
Certified into the record
How to verify without trusting this page
Fetch the canonical text of any version from /api/record/TRV-2026-0164 and hash it yourself — for example shasum -a 256 on the saved canonical field. The result must equal content_hash, and each version’s text ends with prev:followed by the prior version’s hash (version 1 chains to 64 zeros). If a single character of any version had been altered since certification, the chain would not reproduce.