id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
spir-11879	boler, megan	AFFECTIVE DISCOURSE ANALYSIS AND SOCIAL MEDIA: METHODOLOGICAL INNOVATIONS IN THE CROSS-PLATFORM STUDY OF EMOTION AND RACE ON TWITTER, GAB, AND FACEBOOK	2021.0	4	.pdf	application/pdf	1575	81	45	The talk shares some of the challenges faced in developing this novel approach we term affective discourse analysis, addressing the following issues: x cross-platform data access and challenges posed by ensuring symmetry of coding across platforms x limitations of academic access to big data x challenges and limitations of qualitative research data software Atlas.ti x the challenge of identifying and interpreting emotional expressions embedded within social media text x developing a coding system with credible intercoder agreement, particularly given the intrinsically subjective nature of coding emotion Contributing to a nascent field of mixed-methods studies related to affect within social media, this talk invites discussion of the importance of interdisciplinary study of affect and emotion in social media, and how qualitative research can augment quantitative methods of sentiment analysis (Bouvier and Rosenbaum 2020). Scholars are challenged to develop innovative methods for studying emotion and affect within studies of popular culture, social media, and political communications (Boler and Davis 2020).	cache/spir-11879.pdf	txt/spir-11879.txt