It's Not Information Overload. It's Filter Failure.
summary
Claim: the problem is filter failure not information overload. Evidence: spam volume that feels doubled actually rises ~25% and breaks downstream filters; social sites show filters move after publication (example: LiveJournal proof). Concrete harms: Facebook’s privacy UI broadcasts a breakup to everyone; a college treats a 1‑group + 146 members as 147 charges* for cheating. Remedies are specific: better automated filters (search, tag voting, digg‑style ranking) plus redesigned social/institutional rules, not more warnings about “too much information.”
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chapters (10)
- 0:00The overload myth
- 2:20History of filter economics
- 4:29Post-Gutenberg economics
- 5:57Spam as filter failure
- 7:58Social filter failure
- 10:48The unnatural act of privacy
- 12:48Inconvenience as a guarantor
- 15:21Institutional collisions
- 17:19Large group dynamics
- 20:13Designing new filters
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