Taylor Jing Wen
Biographic Data
| ID | 6760787 |
|---|---|
| NAME | Taylor Jing Wen |
| GIVEN NAMES | Taylor Jing |
| FAMILY NAME | Wen |
| SIGNATURE | WEN T J |
| AFFILIATIONS | University of South Carolina |
| ORCID | 0000-0002-6967-1617 |
| VERIFIED | Yes |
| TOTAL WORKS | 15 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 15 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Co-Designing Media Plans With Generative AI
As media planning becomes increasingly data-intensive and algorithmically driven, advertising educators face the challenges of preparing students to operate effectively within hybrid human–Artificial Intelligence (AI) workflows. This paper introduces a human–AI collaborative model for teaching undergraduate media planning, centered on a custom GPT tool, the Media Planning AI Assistant, embedded within a semester-long course. Rather than functioni…
The Influence of the US FDA Authorized Modified Exposure Claim on Heuristic Processing of Tobacco Risk Information and Marketing Message Among Young Adults
The US FDA has authorized several modified risk tobacco products (MRTPs), permitting marketing claims around modified exposure (i.e. lower exposure to harmful substances compared to cigarettes). We propose that this FDA authorization may serve as a heuristic cue, influencing how people visually attend to the U.S. Surgeon General's warning to discourage tobacco use and perceive MRTPs and their marketing messages among young tobacco users and non-u…
Facing the truth
Similar to the now-ubiquitous AI-generated photos, multi-purpose stock photos are directly at odds with the values of photojournalism, which seek to visually speak the truth and depict genuine human emotions. Using stock photos and staffed photojournalist photos as stimuli, this study examines effects of truth and emotion in photos in a news context. Facial expression biometric measures, valence perceptions, and arousal levels are the dependent v…
Online-endorsed misinformation about climate change
When seeking climate change-related information online, social media users often rely on various heuristic cues to assess the credibility of the content. This study applied the Heuristic-Systematic Model (HSM) to examine the intertwined role of three heuristic cues – perceived expertise, message style, and bandwagon effect – in influencing users’ evaluation of online-endorsed misinformation about climate change. Using a 2 (perceived expertise: ab…
Disclosing AI’s Involvement in Advertising to Consumers
The use of artificial intelligence (AI) in the advertising industry is widespread, yet there is no consensus on whether consumers should be informed of AI’s involvement in ad placement and ad creation. In light of the importance of digital literacy, we believe that consumers have a right to know about the technology behind the ads they encounter and that scholars should lead the discussion on the issue of AI disclosure. To this end, we conducted …
True or False? Viewer Perceptions of Emotional Staff and Stock Photos in the News
The phenomenon of multi-used stock photography in the news contradicts the photojournalism professional values of truthful and emotional depictions. This reality echoes other false images increasingly appearing in the media, including deepfakes and artificial intelligence. In the present study, a two (stock and staff photo) by two (positive and negative valence) quasi-experiment is conducted. The dependent variables include: 1) credibility; 2) se…
Infusing Affective Computing Models into Advertising Research on Emotions
This article discusses promising avenues for integrating affective computational approaches into advertising research on emotion. We review affective computing methods for different modalities—text, visual, and audio—and present advertising research examples and computational tools for each modality. We discuss different state-of-the-art multimodal tools for emotion recognition and propose an evaluation framework for advertising researchers to co…
A Computer Vision Methodology to Predict Brand Personality from Image Features
Using the computer vision method, this study proposes an analytical model of visual aesthetics for brand communication and analyzes the effects of visual features (i.e., colors and visual complexity) on brand personality. This study illustrates a four-step procedure correlating computationally coded visual attributes with human ratings of perceived brand personality. This study has important methodological implications for advertising researchers…
From Tragedy to Activism
Guided by the Anger Activism Model and pain and loss activism literature, this study analyzes online public discussion in a particular case of activism on social media (i.e., the 2017 Las Vegas mass shooting). On the basis of the content analysis of 4,611 tweets, this study explored the role of emotions as well as efficacy beliefs in engaging people in online political conversations during pain and loss events. Key insights about the joint effect…
Understanding Twitter conversations about artificial intelligence in advertising based on natural language processing
Artificial intelligence (AI) has been widely applied in the advertising industry and attracted increasing attention from advertising scholars. However, the general public’s perceptions of AI in advertising have been relatively neglected within the current literature. In this study, we analyzed people’s posts on Twitter about AI in advertising using natural language processing. Specifically, we conducted topic modeling and sentiment analysis in th…
Effects of Affect
An experiment was conducted with the goal of determining how mood and arousal influence the way consumers process ad information in a search engine result page (SERP) environment. By focusing on the relationships among mood, arousal, and search ad snippet length, the study shows that mood and arousal states influence information processing (heuristic vs. systematic) on search pages both independently and jointly. Using the heuristic-systematic mo…
Exploring the Public Perception of Depression
Improving awareness and mitigating stigma related to depression have been a concern to both health communicators and practitioners. This study conducted a 2 (narrative vs. non-narrative) × 2 (high controllability vs. low controllability) experiment (N = 242) to test the interaction effects of narrative persuasion and cause controllability of depression. The results show that narrative messages attributing depression to an uncontrollable cause inc…
The Effects of Self vs. Group Affirmation and Message Framing on College Students’ Vape-Free Campus Policy Support
A growing number of American colleges and universities have become vape-free campuses in response to the high e-cigarette use prevalence among young adults. However, little is known about communication or social-psychological factors associated with campus members' support for a tobacco policy prohibiting e-cigarette use on the campus (vape-free policy support). The present study explores the main and interaction effects of affirmation and messag…
Understanding AI Advertising From the Consumer Perspective
In recent years, artificial intelligence (AI) technology has been used to create advertising messages. This study examined the factors that influence consumers’ overall appreciation of AI-created advertisements. The findings indicate that, in addition to its direct effect on consumer reactions to AI-created advertisements, consumers’ perceived objectivity of the general advertisement creation process positively influences machine heuristic—a rule…
Integrating Incidental and Integral Emotions in Non-Profit Communications
Appraisal tendency framework suggests that incidental and integral emotions are capable of influencing decision making and behaviors. Such effect is subject to the interaction between incidental and integral emotions. To effectively use emotional appeal in public service announcements (PSAs) for non-profit communication, studying the interaction between the carryover and direct effects of incidental and integral emotions, respectively, is specifi…
Integrating Incidental and Integral Emotions in Non-Profit Communications
Appraisal tendency framework suggests that incidental and integral emotions are capable of influencing decision making and behaviors. Such effect is subject to the interaction between incidental and integral emotions. To effectively use emotional appeal in public service announcements (PSAs) for non-profit communication, studying the interaction between the carryover and direct effects of incidental and integral emotions, respectively, is specifi…
Integrating Incidental and Integral Emotions in Non-Profit Communications
Appraisal tendency framework suggests that incidental and integral emotions are capable of influencing decision making and behaviors. Such effect is subject to the interaction between incidental and integral emotions. To effectively use emotional appeal in public service announcements (PSAs) for non-profit communication, studying the interaction between the carryover and direct effects of incidental and integral emotions, respectively, is specifi…
Effects of Affect
An experiment was conducted with the goal of determining how mood and arousal influence the way consumers process ad information in a search engine result page (SERP) environment. By focusing on the relationships among mood, arousal, and search ad snippet length, the study shows that mood and arousal states influence information processing (heuristic vs. systematic) on search pages both independently and jointly. Using the heuristic-systematic mo…
Exploring the Public Perception of Depression
Improving awareness and mitigating stigma related to depression have been a concern to both health communicators and practitioners. This study conducted a 2 (narrative vs. non-narrative) × 2 (high controllability vs. low controllability) experiment (N = 242) to test the interaction effects of narrative persuasion and cause controllability of depression. The results show that narrative messages attributing depression to an uncontrollable cause inc…
The Effects of Self vs. Group Affirmation and Message Framing on College Students’ Vape-Free Campus Policy Support
A growing number of American colleges and universities have become vape-free campuses in response to the high e-cigarette use prevalence among young adults. However, little is known about communication or social-psychological factors associated with campus members' support for a tobacco policy prohibiting e-cigarette use on the campus (vape-free policy support). The present study explores the main and interaction effects of affirmation and messag…
Understanding AI Advertising From the Consumer Perspective
In recent years, artificial intelligence (AI) technology has been used to create advertising messages. This study examined the factors that influence consumers’ overall appreciation of AI-created advertisements. The findings indicate that, in addition to its direct effect on consumer reactions to AI-created advertisements, consumers’ perceived objectivity of the general advertisement creation process positively influences machine heuristic—a rule…
Understanding Twitter conversations about artificial intelligence in advertising based on natural language processing
Artificial intelligence (AI) has been widely applied in the advertising industry and attracted increasing attention from advertising scholars. However, the general public’s perceptions of AI in advertising have been relatively neglected within the current literature. In this study, we analyzed people’s posts on Twitter about AI in advertising using natural language processing. Specifically, we conducted topic modeling and sentiment analysis in th…
From Tragedy to Activism
Guided by the Anger Activism Model and pain and loss activism literature, this study analyzes online public discussion in a particular case of activism on social media (i.e., the 2017 Las Vegas mass shooting). On the basis of the content analysis of 4,611 tweets, this study explored the role of emotions as well as efficacy beliefs in engaging people in online political conversations during pain and loss events. Key insights about the joint effect…
True or False? Viewer Perceptions of Emotional Staff and Stock Photos in the News
The phenomenon of multi-used stock photography in the news contradicts the photojournalism professional values of truthful and emotional depictions. This reality echoes other false images increasingly appearing in the media, including deepfakes and artificial intelligence. In the present study, a two (stock and staff photo) by two (positive and negative valence) quasi-experiment is conducted. The dependent variables include: 1) credibility; 2) se…
Infusing Affective Computing Models into Advertising Research on Emotions
This article discusses promising avenues for integrating affective computational approaches into advertising research on emotion. We review affective computing methods for different modalities—text, visual, and audio—and present advertising research examples and computational tools for each modality. We discuss different state-of-the-art multimodal tools for emotion recognition and propose an evaluation framework for advertising researchers to co…
A Computer Vision Methodology to Predict Brand Personality from Image Features
Using the computer vision method, this study proposes an analytical model of visual aesthetics for brand communication and analyzes the effects of visual features (i.e., colors and visual complexity) on brand personality. This study illustrates a four-step procedure correlating computationally coded visual attributes with human ratings of perceived brand personality. This study has important methodological implications for advertising researchers…
Online-endorsed misinformation about climate change
When seeking climate change-related information online, social media users often rely on various heuristic cues to assess the credibility of the content. This study applied the Heuristic-Systematic Model (HSM) to examine the intertwined role of three heuristic cues – perceived expertise, message style, and bandwagon effect – in influencing users’ evaluation of online-endorsed misinformation about climate change. Using a 2 (perceived expertise: ab…
Disclosing AI’s Involvement in Advertising to Consumers
The use of artificial intelligence (AI) in the advertising industry is widespread, yet there is no consensus on whether consumers should be informed of AI’s involvement in ad placement and ad creation. In light of the importance of digital literacy, we believe that consumers have a right to know about the technology behind the ads they encounter and that scholars should lead the discussion on the issue of AI disclosure. To this end, we conducted …
Co-Designing Media Plans With Generative AI
As media planning becomes increasingly data-intensive and algorithmically driven, advertising educators face the challenges of preparing students to operate effectively within hybrid human–Artificial Intelligence (AI) workflows. This paper introduces a human–AI collaborative model for teaching undergraduate media planning, centered on a custom GPT tool, the Media Planning AI Assistant, embedded within a semester-long course. Rather than functioni…
The Influence of the US FDA Authorized Modified Exposure Claim on Heuristic Processing of Tobacco Risk Information and Marketing Message Among Young Adults
The US FDA has authorized several modified risk tobacco products (MRTPs), permitting marketing claims around modified exposure (i.e. lower exposure to harmful substances compared to cigarettes). We propose that this FDA authorization may serve as a heuristic cue, influencing how people visually attend to the U.S. Surgeon General's warning to discourage tobacco use and perceive MRTPs and their marketing messages among young tobacco users and non-u…
Facing the truth
Similar to the now-ubiquitous AI-generated photos, multi-purpose stock photos are directly at odds with the values of photojournalism, which seek to visually speak the truth and depict genuine human emotions. Using stock photos and staffed photojournalist photos as stimuli, this study examines effects of truth and emotion in photos in a news context. Facial expression biometric measures, valence perceptions, and arousal levels are the dependent v…
Psychology (12 works) · Social Psychology (9 works) · Advertising (7 works) · Business (7 works) · Computer Science (6 works) · Media Influence and Health (5 works) · Perception (5 works) · Artificial Intelligence (4 works) · Cognitive psychology (4 works) · Consumer Behavior in Brand Consumption and Identification (4 works)