Impact of Data Science on Social Media Data

Abstract: 

This session will cover data generated on social media and how it is consumed. This data is used for data science applications in a variety of different ways. The platforms themselves use it for data intelligence, but also independent brands use social media data for several applications. Furthermore, content creators, researchers, and businesses across many verticals apply Machine Learning and Deep Learning on social media data for a variety of purposes. Data analytics, marketing campaigns, stock price predictions, recommendation systems, mental health indicators, and chatbots are some examples of the data science applications.
Given that social media is such a large part of our everyday lives today and it is highly influenced by data science algorithms, several layers of historical and sectional biases have inevitably made their way into the models and incidentally into our everyday lives. Biases and challenges will be discussed along with efforts underway for a better informed future.

Bio: 

Bio Coming Soon!

Open Data Science

 

 

 

Open Data Science
One Broadway
Cambridge, MA 02142
info@odsc.com

Privacy Settings
We use cookies to enhance your experience while using our website. If you are using our Services via a browser you can restrict, block or remove cookies through your web browser settings. We also use content and scripts from third parties that may use tracking technologies. You can selectively provide your consent below to allow such third party embeds. For complete information about the cookies we use, data we collect and how we process them, please check our Privacy Policy
Youtube
Consent to display content from - Youtube
Vimeo
Consent to display content from - Vimeo
Google Maps
Consent to display content from - Google