Sustainability in CSR Messages on Social Media: How Emotional Framing and Efficacy Affect Emotional Response, Memory and Persuasion

The present study explores how companies use social media messages to communicate about the dangers of plastic pollution. Drawing from the emotions-as-frames model and the limited capacity model of motivated mediated message processing (LC4MP), this experiment identifies the effects of two message features (emotional frames: fear/hope, efficacy: low/high) in Instagram posts about plastic pollution. The discrete emotions hope, fear, and anger were analyzed as indicators of message processing, mediating the effects of messages features on memory, plastic pollution attitudes, political participation intentions, and social media intentions. Results of a path analysis show that fear-framed messages increased fear and anger, and high-efficacy information increased hope while reducing anger. In turn, anger increased all three persuasion outcomes, while hope and fear increased only behavioral intentions, not attitudes. Political ideology significantly moderated the model. The paper discusses implications for integrating discrete emotions into the LC4MP, as well as practical implications for corporate social responsibility (CSR) and sustainability communicators.

Automated summary

This study investigates how companies utilize social media messages to address the issue of plastic pollution, focusing on the impacts of emotional frames and efficacy of messages on message processing and persuasion outcomes. The results show that fear-framed messages increase fear and anger, while high-efficacy information boosts hope and reduces anger. Anger has a significant impact on all persuasion outcomes, while hope and fear mainly increase behavioral intentions rather than attitudes.