Host: The Society of Socio-Informatics
Pages 140-145
This study examines emotion norms and their formation mechanisms on public social media platforms. Analyzing responses from 857 Japanese participants, the results support the positivity bias but reveal nuanced differences among platforms and specific emotions. Both social media affordances and the modeling of others' expressions predicted these norms. Notably, modeling positive expressions had a greater effect when observing less intimate users, whereas modeling negative expressions was more impactful when observing intimate users. Additionally, the outcomes of modeling had a more significant effect on negative emotion norms.