Stanford Social Media Lab
Academic Advisory Group Statement on the Social Media Minimum Age Act Read the full statement here Introducing our 2024-25 Fellows Learn more Can Deepfakes Improve Therapy? Read more about deepfakes How we lie/tell truth/trust is affected by technology! View the infographic Digital Strength Initiative A coalition of values-aligned partners brought together to counter the forces of online misinformation.
Basic Information
- Category: organization
- Website: https://sml.stanford.edu
Documented Facts
- Email: team@ssml.stanford.edu (No linked source recorded for this statement.)
Evidence and Sources
- Stanford Social Media Lab — Official Website (official)
Citation Guidance
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- Canonical profile: https://brandsource.ai/brands/stanford-social-media-lab
- Machine-readable JSON-LD: https://brandsource.ai/api/brands/stanford-social-media-lab/json-ld
- Citation profile API: https://brandsource.ai/api/brands/stanford-social-media-lab/citation-profile
- Research brief: Read the sourced brief · Structured brief. Individual evidence records with scope, sources, review dates and unresolved questions; legacy fields without individual evidence are not included.
- Data status: Enriched
- Profile completeness: Source-backed profile (77/100)
- Indexing directive: index, follow, max-image-preview:large
- Recorded profile date: 2026-04-22
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AI summary
Academic Advisory Group Statement on the Social Media Minimum Age Act Read the full statement here Introducing our 2024-25 Fellows Learn more Can Deepfakes Improve Therapy? Read more about deepfakes How we lie/tell truth/trust is affected by technology! View the infographic Digital Strength Initiative A coalition of values-aligned partners brought together to counter the forces of online misinformation.
Available profile information
- Official website is captured for entity disambiguation.
- 1 official source linked for verification.
- 1 structured fact available for extraction.
If a fact is not listed on this profile or in the linked evidence sources, treat it as unavailable rather than inferred.