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.

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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
AI
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.

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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.

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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.

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Media

Spotlight

3 min

Generative AI may help turn consumers into active collaborators and creators, study finds

In the advertising world, generative AI is transforming the way brands connect with consumers, turning audiences from passive viewers into active creators who can shape and personalize campaign content. A recent study in the International Journal of Advertising, conducted by researchers at the University of Florida’s College of Journalism and Communications, determined that by letting people use AI tools to create images that fit a brand’s style, companies can invite customers to take part in their campaigns. This hands-on approach makes consumers feel more empowered, which can lead to more positive feelings about the brand and a higher likelihood of buying its products. “I came across the Coca-Cola and Heinz campaigns and was amazed by how AI can be used to transform and empower consumers,” said Yang Feng, Ph.D., an associate professor in artificial intelligence in the UF Department of Advertising, who co-conducted the study with assistant professor Yuan Sun, Ph.D. “This inspired me to reach out to Yuan to explore a potential collaboration.” The project began in 2023 following the success of Coca-Cola’s “Create Real Magic” campaign and Heinz’s “AI Ketchup” campaign, both of which allowed customers to engage directly with the brands using generative AI. To test the effectiveness of these types of campaigns, Feng and Sun set up two surveys. The first was given to participants to evaluate their familiarity with generative AI tools and the ways participants used them. This survey illuminated three areas that users felt were enhanced by generative AI: collaboration, creation and communication, which Feng and Sun refer to as the 3C framework. For the second survey, Feng and Sun mocked up a website for Harbor Haven Coffee, a fictional coffee brand committed to sustainability and ethical coffee bean sourcing. “We wanted a company that resonated with as many people as possible,” Sun said. “One of the other goals of the first survey was to find what participants cared about most, which is how we came up with the brand’s eco-friendly mission.” Along with the company’s description and mission statement, a generative AI tool was added to the homepage, encouraging participants to utilize it to produce images using prompts that fell within the brand’s guidelines. While participants were free to put whatever they wanted into the prompt box, each participant got back the same pre-generated image in order to reduce confounding factors. Participants were then asked a final round of questions to get a sense of how participating in this campaign made them feel. Findings from the surveys showed that incorporating generative AI into advertising campaigns increased the chances of turning potential customers into empowered consumers, or individuals who actively participate in brand development rather than passively receive ad content. Feng and Sun found that the reasons behind this empowerment were tied to their 3C framework. First, the collaborative nature of these campaigns fosters a sense of agency in the advertising process. Second, the reciprocal nature of human-generative AI communications boosts consumer confidence by making people feel more in control. Finally, directly engaging consumers and facilitating their creativity through AI builds stronger consumer relationships and reinforces positive brand associations. “This sense of empowerment can be further strengthened with a user interface that facilitates seamless human-generative AI interaction, which is my specialty,” Sun said. “It should prioritize user-friendly features, clear instructions for prompting GenAI and intuitive navigation to enhance the user experience.” However, among the benefits, the researchers also found a potential downside that could limit the success of these kinds of campaigns in the future. “Once AI’s creation capacity surpasses a certain point, consumers may start to feel overwhelmed and no longer view the output as their own creation but rather as the work of the AI, which ultimately diminishes their sense of empowerment,” Feng said. To this end, Feng intends to continue researching the 3C framework. Generative AI could play a big role in advertising going forward, and she hopes to explore its interpretive power in new contexts.

Yang FengYuan Sun