Linda W. Lee

TL;DR: This article provides a working definition of deepfakes together with an overview of the underlying technology, and classify different deepfake types: photo, audio, video, video (face-swapping, face-morphing, full body puppetry), and audio and video (lip-synching).

TL;DR: This paper is among the first to introduce, apply and compare how artificial intelligence (AI) can be used for content analysis in marketing research relative to manual and computer-aided (non-AI) approaches to content analysis.

TL;DR: In this article, the authors examined the relationship between feelings toward buying wine on mobile phones and m-commerce website loyalty by examining the mediating role of sales promotion and the moderating roles of service attributes of the mcommerce websites in influencing the mediation, a total of 3,318 completed surveys were collected.

TL;DR: In this article, the authors connect the phenomenon of fake news with company slogans and explore how this stakeholder can perceive and be impacted by different types of slogan fakeness (narcissistic, foreign, and corrupt).

TL;DR: In this paper, the extent that consumers report purchasing wine on mobile devices and empirically examine potential drivers of m-wine purchasing across six countries to guide theoretical research enquiry moving forward.