This 16 January 2015 email chain shows Craig Silverman giving Alan White instructions for using Emergent to load CEN-related claims and articles into a private tracking system. Silverman explains how to create a claim page, add origin information, tag it as CEN, enter URLs from sites that covered the story, and apply a “Truthiness rating” to show how each site reported the claim. The document is significant because it shows BuzzFeed using an experimental claim-tracking tool for a high-stakes investigation that Alan White later described internally as being capable of destroying Mike Leidig’s business and professional credibility. Yet even the basic mechanics appear fragile. White writes: “ludicrously stupid question / cant find the login button”, after which Silverman says White should get a login prompt, suggests a direct login URL, then immediately adds: “oh wait just tried to relogin and got an error message. We just pushed bunch of changes and it may have broken something. Let me get someone to look at it.” The exchange matters because Emergent was being used not just for casual internet monitoring, but to organise allegations about whether CEN stories were true, false, debunked or merely repeated across publishers. A tool that lacked an obvious login route, had just been changed, and may have broken at the point of use was plainly ill-suited to carry the weight of an investigation of this scale. The “Truthiness rating” language is also important because it reflects the wider methodological problem: BuzzFeed was categorising and comparing the apparent truth of viral claims across the web while still needing to establish, through source-level reporting, what CEN had actually supplied and whether the stories were false, exaggerated, misunderstood or simply difficult to verify.