Video advertisements often show actors and influence agents consuming and enjoying products in slow motion. By prolonging depictions of influence agents’ consumption utility, slow motion cinematographic effects ostensibly enhance social proof and signal product qualities that are otherwise difficult to infer visually (e.g., pleasant tastes, smells, haptic sensations). In this research, seven studies, including an eye tracking study, a Facebook Ads field experiment, and lab and online experiments—all using real ads across diverse contexts—demonstrate that slow motion (vs. natural speed) can backfire and undercut product appeal by making the influence agent’s behavior seem more intentional and extrinsically motivated. The authors rule out several alternative explanations by showing that the effect attenuates for individuals with lower intentionality bias, is mitigated under cognitive load, and reverses when ads use nonhuman influence agents. The authors conclude by highlighting the potential for cross-pollination between visual information processing and social cognition research, particularly in contexts such as persuasion and trust, and they discuss managerial implications for visual marketing, especially on digital and social platforms.

We show that the way decision makers construct risk perceptions is systematically influenced by their level of self-control: low self-control results in greater weighting of probability and reduced weighting of consequences of negative outcomes in formulating overall threat perceptions. Seven studies demonstrate such distorted risk construction in wide-ranging risk domains. The effects hold for both chronic and manipulated levels of perceived self-control and are observed only for risks involving high personal agency (e.g., overeating, smoking, drinking). As an important implication of our results, we also demonstrate that those lower (higher) in self-control show relatively less (more) interest in products and lifestyle changes reducing consequences (e.g., a pill that heals liver damage from drinking) than those reducing likelihood of risks (e.g., a pill that prevents liver damage from drinking). We also explore several possible underlying processes for the observed effect and discuss the theoretical and managerial relevance of our findings. This paper was accepted by Yuval Rottenstreich, judgment and decision making.

How does the balance between text and pictorial content in marketer-generated social media posts affect user engagement? The authors address this question by using computer vision and natural language processing tools to extract the visual and textual features of 34,610 organic brand posts from Facebook and Instagram. Using a confounding-and-cluster-robust causal forests model, they test how the balance of text and picture affects social media engagement across content and visual contexts. Results show that posts with greater emphasis on overlay text over pictorial content tend to have fewer likes and comments. However, the performance of text-oriented posts improves if text is more centered, informative, emotionally positive, and congruent with the pictorial content and if the picture contains fewer prominent objects or less information such as social cues. They quantify how incremental changes in such content composition affect social media engagement. These findings set forth evidence-based principles for optimizing text and picture balance in marketer-generated content and provide actionable guidelines on whether, where, when, and how to present text on an image. This research highlights the potential for transforming content and media creation from an imprecise art form into an empirical science nested within a data-driven visual optimization framework.