SOCIAL MEDIA ANALYTICS

Prerequisites & course information

Requisites: Satisfied Quantitative Reasoning A or graduate/professional standing Course Designation: Core GenEd - Mathematics & Quantitative Reasoning Breadth - Social Science Level - Intermediate L&S Credit - L&S Liberal Arts and Science Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Spring 2026 Learning Outcomes: 1. Describe key concepts related to humans/groups/institutions’ activities on social media and ethical considerations for social media researchers Audience: Both Grad & Undergrad 2. Select an appropriate social science qualitative or quantitative research method technique for collecting and analyzing social media data Audience: Both Grad & Undergrad 3. Analyze and clearly communicate about the relationship between social media content and user click data Audience: Both Grad & Undergrad 4. Demonstrate basic knowledge of the R data science software Audience: Both Grad & Undergrad 5. Evaluate social media data’s impact on consumer choices, human interaction, and public opinion of scientific issues and industries Audience: Both Grad & Undergrad 6. Apply metrics from social media platforms to develop strategic communication recommendations for clients, ranging from industry to policymakers Audience: Both Grad & Undergrad 7. Analyze and synthesize relevant scholarly literature related to social media, internet studies, and computer-mediated communication Audience: Graduate 8. Formulate a research proposal articulating a primary research project studying consumer choices, human interaction, public opinion, and/or discourse on social media Audience: Graduate Learning Outcomes: 1. Describe key concepts related to humans/groups/institutions’ activities on social media and ethical considerations for social media researchers Audience: Both Grad & Undergrad 2. Select an appropriate social science qualitative or quantitative research method technique for collecting and analyzing social media data Audience: Both Grad & Undergrad 3. Analyze and clearly communicate about the relationship between social media content and user click data Audience: Both Grad & Undergrad 4. Demonstrate basic knowledge of the R data science software Audience: Both Grad & Undergrad 5. Evaluate social media data’s impact on consumer choices, human interaction, and public opinion of scientific issues and industries Audience: Both Grad & Undergrad 6. Apply metrics from social media platforms to develop strategic communication recommendations for clients, ranging from industry to policymakers Audience: Both Grad & Undergrad 7. Analyze and synthesize relevant scholarly literature related to social media, internet studies, and computer-mediated communication Audience: Graduate 8. Formulate a research proposal articulating a primary research project studying consumer choices, human interaction, public opinion, and/or discourse on social media Audience: Graduate