  The task of identifying public opinions on social media, particularly
regarding climate activism and the detection of hate events, has emerged as a
critical area of research in our rapidly changing world. With a growing number
of people voicing either to support or oppose to climate-related issues -
understanding these diverse viewpoints has become increasingly vital. Our team,
MasonPerplexity, participates in a significant research initiative focused on
this subject. We extensively test various models and methods, discovering that
our most effective results are achieved through ensemble modeling, enhanced by
data augmentation techniques like back-translation. In the specific components
of this research task, our team achieved notable positions, ranking 5th, 1st,
and 6th in the respective sub-tasks, thereby illustrating the effectiveness of
our approach in this important field of study.
