A comparison of users' personal data collected by Threads, Twitter, Bluesky, Mastodon, Spill, and Hive Social, based on information from Apple's App Store
Here's what personal data is collected by Meta's Threads, as well as by Twitter, Bluesky, Mastodon, Spill, and Hive Social.
Context & Ripple Effects
The comparison puts Apple’s standardized App Store privacy labels at the center of an emerging social-network choice: prospective users can assess services’ stated collection practices side by side rather than relying only on product positioning.
It follows disclosure that a Threads profile could only be removed by deleting the linked Instagram account, a deletion-policy constraint that heightened scrutiny of Threads’ data ties. Later coverage shows Threads and Bluesky competing for audience attention, including Bluesky’s sharp post-election usage increase, making privacy posture one more point of differentiation.
First-order effects
- Users evaluating Threads, Twitter, Bluesky, Mastodon, Spill, and Hive Social gain a comparable view of each app’s declared data collection through Apple’s listings.
- Threads faces immediate scrutiny not just for what its label says, but for how its collection disclosures fit with its connection to Meta and Instagram.
Second-order effects
- Rival social services can use simpler or narrower disclosed data practices as a user-acquisition message, while larger platforms must explain why broader collection is necessary.
- App Store privacy labels become a more visible product-comparison surface, increasing the reputational cost when a service’s policies and user expectations appear misaligned.
Third-order effects
- If users increasingly treat disclosure labels as a switching criterion, social-network competition may reward architectures that can offer clearer data separation and account portability.
- The pattern points toward platform-store disclosures functioning as a practical governance layer: not a substitute for privacy rules, but a standardized interface through which users and rivals can challenge data practices.
The trend: Social-network competition is expanding beyond feeds and moderation to include the clarity, scope, and separability of user-data practices.