
How AI is Transforming Social Media Listening: Challenges, Innovations, and Real-World Impact Problem Statement: The Challenge of Understanding the Social Media Noise In today's hyper-connected world, social media platforms like Twitter (now X), Instagram , LinkedIn , Facebook , TikTok , and emerging networks serve as digital town squares. Millions of people share opinions, complaints, praise, and questions every second, creating an ocean of unstructured, multilingual, fast-moving data. For brands, the challenge lies in extracting actionable insights from this noise. Before the rise of AI-powered tools, social media listening was primarily a manual or rule-based process. Companies relied on keyword tracking and sentiment scoring based on dictionaries, often resulting in misinterpretation, missed trends, or overwhelming dashboards filled with irrelevant chatter. Moreover, the scale of data made it impossible for human analysts to keep up, leading to poor customer experiences...