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ChatGPT has surprised academia with its remarkable ability but also raised substantial concerns regarding academic integrity and misconduct. Despite the debate, empirical research exploring the issue is limited. The purpose of this study is to bridge this gap by analyzing Twitter data to understand how academia is perceiving ChatGPT. A total of 9733 tweets were collected through Python via Twitter API in three consecutive weeks, 3000 were analyzed in Atlas ti. for this proposal. Our findings reveal a generally supportive attitude towards using ChatGPT in academia, but the absence of clear policies and regulations requires attention. Discussions primarily focus on academic integrity, learning effectiveness, and teaching efficiency. The significance of these findings and limitations of the study are included.