As a scholar, I study public opinion and consumer behavior by investigating large amounts of data. I test social science theory using methods from computer science, such as text mining, natural language processing, data mining, machine learning and topic modeling. My research focuses on how people interact with news media and strategic communication on a large scale. My emergent research suggests that contextual data can work in concert with social science theory to explain how people behave online. The more we understand trends and tendencies of large audiences and their aggregate behaviors, the better our tactics as advertisers and public relations practitioners can become.
keywords
big data, computational social science, agenda-setting theory, social media, consumer engagement, marketing analytics, advertising analytics
APRD 4300 - Strategic Communication Analytics and Metrics
Primary Instructor
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Fall 2018 / Spring 2019 / Fall 2019 / Spring 2020 / Spring 2021
Provide students with a base knowledge of analytics and metrics used in strategic communication. Students will learn how to obtain and clean big data, how to analyze and turn it into insights and how to present and communicate insights into actionable recommendations.
APRD 4931 - Internship
Primary Instructor
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Summer 2018 / Spring 2019 / Summer 2019 / Spring 2020 / Spring 2021
Internship course.
APRD 6342 - Digital Advertising
Primary Instructor
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Fall 2018 / Fall 2019 / Fall 2020
Covers both traditional and emerging digital advertising methods, the popular platforms used to execute ads, and the leading analytic tools that can be used to assess advertising performance. Core advertising platforms covered include search, display, social media, native advertising, sponsored content and mobile. This class focuses on best practices and Key Performance Indicators that go with each advertising platform. Department consent required.
APRD 6343 - Applications of Advanced Statistical Techniques in Advertising
Primary Instructor
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Spring 2019 / Spring 2020 / Spring 2021
Building upon prior data acquisition and analysis coursework, students will effectively and flexibly generate advanced statistical models in a digital advertising-specific context. This course will focus on data originating from a variety of digital advertising sources. In addition to technical skill acquisition, students will learn how to interpret results and present them to clients and management. Department consent required.
