Sentiment tracking in global social campaigns carries significant risks, primarily due to the potential for misinterpretation of nuances, cultural differences, and sarcasm by automated tools, leading to inaccurate insights. This inaccuracy can result in misguided campaign strategies or inappropriate responses, potentially causing reputational damage to the brand. Furthermore, there are considerable privacy concerns regarding the extensive collection and analysis of user data, raising questions about data security and ethical usage. Algorithms used for sentiment analysis may also contain inherent biases from their training data, inadvertently perpetuating stereotypes or misrepresenting the views of certain demographics. Lastly, the ability to gauge and influence sentiment presents a risk of manipulation of public opinion or the reinforcement of echo chambers, ultimately impacting genuine discourse and democratic processes.