“…For this analysis, we examined Tweets posted from June 1, 2015 to December 31, 2017, and geo-location was again limited to the U.S. We selected a broader set of keywords than above, all representing different affective expressions that could be potentially linked to political actions of representative leaders in the CH database. Keywords were affective expressions of either positive or negative valence, with some representing what have been called moral emotions (i.e., embarrassment, shame, pride, and guilt, see Tracy et al, 2007), and some affective expressions that may be considered not in this moral emotion domain (i.e., happiness, sadness, anger, and disgust, for a discussion of the moral implications of disgust however see e.g., Chapman et al, 2009;Giner-Sorolla and Chapman, 2017;Tracy et al, 2019). For each emotional expression we searched the CH database for relevant forms, such as conjugations, that could appear in written communication, similar to our search for embarrassment expressions for each day as explained above (i.e., shame: "shame" | "ashamed" | "shameful"; guilt: "guilt" | "guilty"; pride: "pride" | "proud"; embarrassment: "embarrassment" | "embarrassed" | "embarrassing" | "embarrasses"; anger: "anger" | "angry" | "angers"; happiness: "happy" | "happiness"; sadness: "sad" | "saddening" | "saddens"; disgust: "disgust" | "disgusting" | "disgusted" | "disgusts").…”