Welcome to the 2023 AAA Annual Conference in Denver, CO! We are so glad you are joining us. Be sure to share your time at the conference using #AAA2023!
Click the "Map" tab for a map of the meeting space and session rooms.
Wifi code: stayhappy
Valet parking is available for a rate of $42.00 per vehicle per night, and self-parking is available at a rate of $38.00 per vehicle per night.
Big data have revolutionized advertising research in both academia and industry. The availability of large-scale, cross-platform, real-time data of consumer interactions with brands, products and one another, provides new research opportunities. Computational approaches often utilize machine learning and other novel analytical tools to identify patterns and extract meaning from unstructured text, including large volumes of unstructured user generated content. However, the potential for new research avenues also raises challenges and concerns, some of which are theoretical and methodological, others practical and ethical. As computational analysis becomes more popular amongst advertising researchers, faculty and graduate students, this panel proposes a discussion among experts that will focus on these opportunities and challenges, lessons learned in recent years, as well as best practices for researchers. The proposed panel will address both supervised (including deep learning) and unsupervised machine learning approaches to big data analysis. As each approach has its advantages and disadvantages, uses and misuses, the panel will discuss ways to make informed decisions when approaching theoretical questions with big data tool belts.
