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A linear regression analysis was conducted to examine the relationship between Specificity and Transparency variables with tweets Interactions. The results revealed a statistically significant positive relationship between Specificity, Transparency and Interactions, indicating that higher levels of Specificity and Transparency in tweets were associated with increased user engagement. However, it is important to note that while the coefficients were statistically significant, the Specificity and Transparency variables did not account for most of the variance in Interactions (R^2=0.066). The result is reasonable, since many factors can contribute to the level of user engagement, such as the number of followers of the account posting the tweet in the first place and the time of the day when the tweet was posted. The following recommendations aim to enhance the impact and effectiveness of tweets related to OI by focusing on improving transparency and specificity in tweet content. Evidence suggests that implementing these suggestions might result in an increased user engagement, in the form of increased interactions.