Fostering Inclusivity and Social Justice: Insights from Sentiment Analysis on Asian Hate Speech for Educational Transformation

The COVID-19 pandemic has impacted the prevalence of anti-Asian hate speech on social media, particularly against the Chinese community. This study aims to explore the dominant themes within this hate speech and examine its implications for transformative adult education. Using artificial intelligence and sentiment analysis, we analyze social media content from 2020 to 2023, tracking anti-Asian language's evolution and sentiment trends. Our focus on anti-Chinese sentiments within the broader context of anti-Asian hate highlights the shared and unique challenges faced by Asian communities. This research contributes to developing transformative adult learning that promotes social justice and inclusivity in an increasingly digitalized and diverse society by linking these insights to educational practices.