Session C: Social Innovation and Empowered Communities

Type: Narrated Slideshow Presentation This presentation is centered on a Persuasive Analysis on the connection between the 'art' of Mukbang and Cognitive Dissonance. By applying persuasive communication theories, I analyze how Mukbangs influence behaviors and attitudes, shedding a light on the psychological and social impacts of these media practices. The importance of this is to understand the interplay between digital intimacy, audience engagement and persuasion, and media ethics, offering insight into the broader patterns of online consumption and their societal implications.

This is a persuasive analysis of Future Forward USA Action's ad campaigns for the 2024 presidential election cycle. It showcases two commercial ads funded and produced by the organization and discusses their effectiveness through the lens of social judgment theory and the group dynamics approach. Tools and strategies related to social pressure, appeals to guilt and fear, and receiver characteristics of the target audience are discussed. It concludes with an overall evaluation of both ads and a suggestion for increasing their effectiveness.

The nature of conversational turns between young children and their parents can have cascading effects on later cognitive and emotional development (Kochanska, Forman, & Coy, 1999; Landry et al., 2000). Studying these interactions can reveal adaptive and maladaptive communicative skills to target in interventions. This paper broadly examined the literature on conversational turn development in typically developing children and its applications to children with developmental disabilities. Much of the existing research has used Language Environment Analysis (LENA) software for its convenient and accurate analysis of language transcripts. However, the literature could benefit from incorporating manual language sample transcription to capture nonverbal communicative behaviors (e.g., manual signs, picture cards, eye contact) in children with developmental disabilities, particularly those using augmented and alternative communication. Additionally, researchers would benefit from using advanced statistical techniques, such as Multilevel Modeling (MLM) and generalized estimated equations (GEE) analysis, as they can accurately specify dyadic interactions and can easily be modified to assess longitudinal data. Finally, informed consent practices should incorporate supported decision-making strategies and the Goodness-of-Fit approach to account for the unique abilities, lifestyle, family, and care supports of Individuals with developmental disabilities as they age. Adapting methods in statistical analysis, data collection, and informed consent is crucial to ensure that research reflects the lived experiences of these families, rather than imposing standards from typically developing populations.