Figure 2.

Diagram of study process. Investigation begins with the collection of two discontinuous 28-day periods of Twitter posts (a random sample of all posts). Simultaneously, Mechanical Turk (MTurk) Group 1 rerated an existing set of 10,000 English words for relatedness to suicide (MTurk Group 1). Word ratings were used to define sad posts and posts with suicide-related verbal content (SRVs). Posts were then scored by machine, but a random subsample were also reevaluated by humans (MTurk Group 2, blind to machine rating). Users were assigned total scores base on their post scores and linked to other users with whom they mutually interacted to establish a network. Data were analyzed as described in the Method section. Obs. r = observed SRV assortativity value for the observed network. Marg. = Marginal; Cond = Conditional.