Will Schulz @small-schulz.bsky.social · 02/01/20253/ I scale the data using a model similar to Wordfish (but since it’s for ordinal data, I call it WordSTICKS): the ideological content of each phrase is defined by the latent ideal points of the people who use/avoid the phrase 110
Will Schulz @small-schulz.bsky.social · 02/01/20254/ by manipulating the social context in the WWYS question in a between-subjects experiment, I derive causal estimates of ideological “code-switching” caused by liberal and conservative interlocutors (using close-friend speech as a reference/control) 110
Will Schulz @small-schulz.bsky.social · 02/01/20255/ and I also derive causal estimates of self-censorship by analyzing treatment effects on a second “outspokenness” dimension generated by my Wordsticks model (details in paper) 110
