Yang Feng

Associate Professor University of Florida

Gainesville FL

Yang Feng's research focuses on the role of AI as an information delivery agent as well as a powerful research tool.

Contact

University of Florida
View more experts managed by University of Florida

View all Experts

Biography

Yang Feng's research focuses on the role of AI as an information delivery agent as well as a powerful research tool. In particular, she examines the impact of algorithm-shaped norms on consumer responses to social media advertising using machine-learning approaches in addition to surveys and experiments. She also investigates the use of emerging technologies, including augmented reality, virtual reality, and 360-degree videos, to generate interactive advertising messages. Her research on augmented reality and privacy issues has been featured in mainstream media, such as Washington Post and Good Morning America.

Areas of Expertise

Consumer Psychology

Artificial Intelligence

Advertising Campaign

Advertising Research and Strategy

Audience Analytics

Consumer Insights

Media Appearances

Dr. Yang Feng on GMA Virtual Match

Good Morning America tv

2020-12-21

Advertising professor Yang Feng was on Good Morning America this morning talking about the use of VR/AR by brands.

Social

Articles

Leveraging Artificial Intelligence to Analyze Consumer Sentiments within Their Context: A Case Study of Always #LikeAGirl Campaign

Journal of Interactive Advertising

Yang Feng, Huan Chen

2022-10-19

Because practitioners and scholars are increasingly using artificial intelligence (AI) to analyze consumer sentiments toward social media–based campaigns, we compared various supervised machine-learning (ML) algorithms (four traditional ML-based algorithms and two proprietary deep-learning-based models from Amazon and Google) in terms of their performances in classifying user comments into a sentiment category.

Evolving Consumer Responses to Social Issue Campaigns: A Data-Mining Case of COVID-19 Ads on YouTube

Journal of Interactive Advertising

Yang Feng, Huan Chen

2022-06-15

Based on previous literature on comment-ranking algorithms and the role of popular opinion, we propose a data-mining approach to monitor evolving consumer responses to social issue campaigns. In particular, the proposed approach can (1) identify top-ranked comments on a social issue campaign in the dynamic social media environment and then (2) retrieve popular opinion from the top-ranked comments from a longitudinal perspective.