Table 1.

Example Posts With Application of Scoring Rules From Methods

User	Text	Sad word	Happy word	Suicide-related word	Sad post	SRV post	User sadness	User SRV score
A	“I’m so sad! Gonna kill myself	sad, kill		kill	1	1	3	2
A	“I’m the worst lol:)”	worst	lol,:)	worst	1	0
A	“My final day on Earth …”			final	0	1
A	“Just got in a fight”	fight			1	0
B	“It’s a sad day”	sad			1	0	1	0
B	“I love my life”		love, life		0	0

Note. “User” represents the ID of a hypothetical Twitter user, whose posts are given in the “Text” column. The “Sad word,” “Happy word,” and “Suicide-related word” columns identify which words (if any) from the user’s post fall into the sad, happy, or suicide-related word categories described in the Method section and depicted in Figure 3. “Sad post” and “SRV post” represent dummy-coded variables representing whether the post would be classified as sad (scored 1 if the post included any sad word; 0 otherwise) or SRV-positive (scored 1 if the post included a suicide-related word but no happy words; 0 otherwise). “User sadness” and “User SRV score” columns represent the total number of sad and SRV-positive posts by each hypothetical user; these are the scores being analyzed in this investigation (i.e., Are SRV scores more assortative than chance? Do they remain so after controlling for sadness scores?). SRV = suicide-related verbalization.