Final answer:
Stream processing is preferred for analyzing social media data because it allows for real-time data analysis, enabling immediate decisions and engagement with current trends.
Step-by-step explanation:
The question is concerning data analysis preferences of people analyzing social media data and why they might favor stream processing over batch processing. The advantage that makes stream processing more appealing in this context is B) It allows data to be analyzed in real time. This is because stream processing involves the examination of data in motion - it is processed as it comes in, which is crucial for social media where data is generated continuously and the value of the data is often time-sensitive.
Stream processing enables analysts to make immediate decisions based on current trends, engage with issues as they unfold, and maintain a sense of what is happening at that very moment on social media. This is unlike batch processing, which handles data in chunks at periodic intervals, potentially leading to delays in analysis and action.