Join this session to explore the exciting world of social media data! Discover how information generated on social media is used for various data science applications, from content creation to marketing campaigns. Learn how machine learning and deep learning are applied to social media data to create:
- Recommendation systems
- Chatbots
- Stock price predictions
- Marketing campaigns
But beware, as social media is so prevalent in our lives, biases and challenges are bound to occur. In this webinar, find out about the ongoing efforts to create a more informed future and tackle these issues head-on!
Key takeaways
- Social media has seen a massive increase in usage in the last four years. Applications include sentiment analysis, recommendation systems, and targeted advertising.
- Responsible use of data includes monitoring for bias and data drift and knowledge of the underlying facts. This ensures the effective and ethical use of data science and machine learning in social media.
- Having diverse teams that represent the users of a product is essential to avoid potential biases in labeling data and building models.
- As social media continues to evolve, its future depends on how the public responds to and uses next-generation content.
The views and opinions expressed in this video are those of the presenter and do not necessarily represent the view of edX or its parent company 2U, Inc.
