platform_acknowledged: false). See methodology.
@DylanOFM publicly reports that Meta permanently disabled their Instagram account @dylanofm, reportedly in approximately March 2026, citing bare "Community Standards" with no specific policy identified. Reporter states the account had 40,000 followers and was their primary business income source, with over $500,000 spent on Meta advertising. No email notification, no in-app appeal option, and no review form were provided. Meta support agents reportedly promised manual escalation and an appeal option — neither materialized. Meta subsequently reinstated multiple linked accounts following identity verification, telling the reporter the original action was an error, but @dylanofm remains disabled with no appeal path. Reporter raises the Meta AI/support exploit as a possible cause.
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One of the most analytically significant records in the dataset for two reasons. First, Meta support agents have partially acknowledged the enforcement was an error — reinstating linked accounts and telling the reporter "We're sorry we got this wrong" — yet the primary account @dylanofm remains disabled with no appeal path. This is the clearest documented case in the dataset of Meta internally confirming error while simultaneously failing to remediate it, creating a durable false-positive outcome. Second, the reporter explicitly raises the Meta AI/support exploit as a possible cause — the absence of a disable notification email is consistent with account access being changed via support-side flows before the disable. Curator cannot confirm the exploit was the mechanism, but the symptom pattern (no email, no prior warning, support agents unable to locate what triggered the action) is consistent with it. A $500K+ Meta advertiser with 40K followers receiving a terminal disable with no appeal path and no notification is also a strong data point for the systematic appeal access failure pattern in this dataset. The bare "Community Standards" citation with no section is consistent with the enforcement notice opacity pattern. The no-notification pattern is one of the clearest no-warning statements in the dataset — reporter explicitly states "No email. No in-app appeal option. No review form."