This podcast gives listeners a look at the latest research articles published in the Journal of Advertising Research. Listen to authors describe their work and what motivated it, explore challenges they faced in the research process, and describe what they'd like to researched next.
JAR PODCAST: Inner Child Messaging, Perceived Authenticity, and Consumer Responses in Advertising
Send us Fan Mail In this episode, Dr. Jano Jimenez-Barreto (Universidad de La Laguna- Oxford Brookes University) joins me to discuss his research paper titled "Inner Child Messaging, Perceived Authenticity, and Consumer Responses in Advertising." Dr. Jimenez-Barreto explains how his study explored new cognitive-efficient ways to trigger nostalgia in advertising by using "inner child messaging" instead of traditional self-referencing techniques. The research found that inner child messag...
8 Oct 2026
Human vs. AI influencer marketing on Instagram
Send us Fan Mail In this episode, Dr. Susanna Lee (Boston University) joins me to discuss her Journal of Advertising Research article, Human vs. AI Influencer Marketing on Instagram: The Role of Message Appeals and Perceived Humanness, coauthored by Ah Ram Lee (University of Massachusetts) and Jung Won Chun (Sejong University). Dr. Lee explains their study's findings that human influencers generally perform better than AI influencers, but AI influencers can be effective when using informatio...
10 Sept 2026
How Small Talk and Co-Viewing with AI Companions Boost Advertising Effectiveness and Persuasion: Chat, Watch, and Buy
Send us Fan Mail In this episode, we speak with Yongwoog Andrew Jeon (Northern Illinois University) to discuss his article, "How Small Talk and Co-Viewing with AI Companions Boost Advertising Effectiveness and Persuasion: Chat, Watch, and Buy," coauthored with Yuhosua Ryoo (University of Minnesota Duluth), Sangwook Lee (University of Colorado Boulder), and Hye Jin Yoon (University of Georgia), published in the June 2026 issue of JAR. Andy explains the question driving the paper: as AI compani...
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