Industry
Social media holidays: six origins and a five-minute check
Social media holidays platforms and provenance: the six origins a date can have, a five-minute traceback, and why listing counts prove nothing at all.
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Industry
Industry
Platform outages risks: a one-page continuity plan
Platform outages risks: how to find the choke points where one failure stops several activities, and a small operation's continuity plan that fits on a page.
Industry
Feed algorithms risks: six to watch, two to plan for
Feed algorithms risks: concentration, proxy capture, opacity, volatility, the eligibility cliff and dependence — what a publisher controls and what to plan for.
Industry
A viral spike has four phases: what onset, peak, decay, and residue tell you
A viral spike in four phases: what onset, peak, decay, and residue can and cannot tell you, when to stop counting, and how to measure the residue.
Industry
Recommendation systems: six cases, including two audiences that cancel out
Six recommendation cases with names attached, from YouTube's cold start to TikTok's regional gate, and the flat average that hides two opposed audiences.
Industry
Feature updates: six places to look and what each source is for
Feature updates: six sources to check, from help pages and changelogs to forums and your own analytics, plus what each one is for and what to do when two disagree.
Industry
How to think about recommendation systems research
Recommendation systems research and its five kinds of evidence: the gap between offline and live results, reading a claim, and auditing your own material.
Industry
How to tell whether sharing or recommendation carried a viral spike
How sharing and recommendation engines move a viral item, how the hourly shape of views shows which one carried a spike, and what you can plan before publishing.