This study aims to describe three main aspects: (1) describing affect in the presidential debates during the 2024 presidential election campaign; (2) describing the candidates' judgement in the presidential debates during the 2024 campaign; and (3) describing appreciation expressed by the presidential candidates in the debates during the 2024 presidential election campaign. This study uses a qualitative approach. The data in this study are utterances delivered by the presidential candidates in the debates, including debates 1, 2, and 3 involving all three candidates. The data sources in this study are the three presidential candidates, namely candidates number 1, 2, and 3. Data collection techniques in this study were carried out through: (1) observation, and (2) note-taking. The results of this study are as follows: (1) 16 data items of affect were found in the presidential debates. The findings show forms of attitude, namely inclination affect, happiness affect, security affect, and satisfaction affect, each of which appears in both positive and negative forms. Thus, from the perspective of critical discourse analysis based on affect features, the findings indicate that the debates contain affect reflected in emotional responses (feelings) toward something, including others, oneself, and events, both positive and negative. (2) 19 data items of judgement were found in the presidential debates. These data are characterized by aspects related to normative evaluation, categorized into four aspects. The findings show that the presidential candidates generally demonstrate strong capability, civility, experience, and wisdom, and also display moral and ethical attitudes such as honesty, integrity, trustworthiness, humility, and compassion. (3) 16 data items of appreciation were found in the presidential debates. The forms of appreciation identified include: (1) reaction appreciation, covering (a) positive and negative impact, and (b) positive and negative quality reactions; (2) composition appreciation, including (a) balance composition and (b) complexity composition; and (3) evaluation appreciation.