Welcome instructors! On this new page you will find a collection of case studies involving ethical, societal and legal issues associated with the novel use of social media data. In addition, you will also find a collection of video tutorials and sample assignments for our various social media data analytics tools. The featured resources on this page are free to use and are designed for instructors teaching courses such as marketing, business ethics, brand management, communications, public relations, social media/data analytics, business analytics or data science, etc.
Case Studies: Ethics of Social Media Data Use by Third Parties
Tutorials and Sample Assignments
New to Netlytic? Netlytic is a text and social networks analyzer that can automatically summarizes public conversations and discover communication networks from social media posts. It uses various APIs to collect public posts from Twitter and YouTube. It can also supports the analysis of your own datasets. Below are some great resources to get you started.
- If you are looking for a creative way to introduce students to social media data and social network analysis? We have prepared a set of sample assignments.
- We have a number of video tutorials to walk you through how to set up a free Netlytic account, import data from a variety of social media sources, and conduct text and network analysis with your data.
New to Communalytic? Communalytic is a research tool for studying online communities and online discourse. Communalytic can collect and analyze public data from various social media platforms including Reddit, Twitter, and Facebook/Instagram (via CrowdTangle). It uses advanced text and social network analysis techniques to automatically pinpoint toxic and anti-social interactions, identify influencers, map shared interests and the spread of misinformation, and detect signs of possible coordination among seemingly disparate actors.
- We have a number of video and text-based tutorials to walk you through how to set up a free Communalytic account, import data from a variety of social media sources, and conduct text and network analysis with your data.