Skip to content
#generative ai Open access

Generative AI in Brand Activism: Impacts on Consumers’ Negative Affect and Decision Comfort

Aug 2026 · Journal of Consumer Affairs · 0 citations · 103 references

TL;DR

It is found that AI‐created activism elicits greater negative affect, ultimately reducing decision comfort, and this effect attenuates when consumers are conservative or have a high tendency to anthropomorphize AI.

Abstract

With the prevalence of emerging technologies, brands are increasingly using generative artificial intelligence (AI) to craft branding messages, including those reflecting sociopolitical views through brand activism. Although generative AI is effective in content creation, its use in value‐laden contexts may differentially alter individual affective responses, thereby impacting consumer well‐being. We address this gap by examining how AI‐created brand activism messages influence consumers' negative affect and decision comfort. Across five studies, we find that AI‐created activism elicits greater negative affect, ultimately reducing decision comfort. This occurs because consumers perceive these messages as less authentic. This effect attenuates when consumers are conservative (vs. liberal) or have a high tendency to anthropomorphize AI. This work advances the literature on brand activism, generative AI, and consumer affect by clarifying how AI use in brand activism reshapes consumers' emotional and decisional experiences and offering insights into how brands can effectively navigate such sociopolitical communication.

Read PDF

Similar papers

Jul 2026

Artificial Voices, Real Causes: The Dilemma of Virtual Influencer‐Driven Brand Activism

Brands are more frequently adopting virtual influencers (VIs) to lead activism campaigns. However, little is known about when and how such activism effectively drives consumer engagement. This research, in Study 1, examines 14,464 Instagram posts from 18 diverse VIs using large‐scale analytics to assess engagement...

Sampa Anupurba Pahi, Debasis Pradhan, Abhisek Kuanr et al. · 0 citations
Open access Aug 2026

Does Conversational Artificial Intelligence Affect Parasocial Displacement? A Study on Consumer Brand Affinity in Digital Market Ecosystems

This study extends parasocial theory from media personalities to algorithmic agents and proposes a triadic consumer–AI–brand framework that identifies heritage brand equity as a relational buffer within the digital market ecosystem and proposes digital governance, disclosure for AI use, and agentic brand strategy.

Subhankar Das, S. Mondal · 0 citations
Jul 2026

Understanding Green Purchase Intentions Through Nostalgia and AI ‐Enabled Personalized Consumer Experiences

In a technologically changing consumer behavior, it has never been more important to learn how artificial intelligence (AI) affects the purchase of green products triggered by emotions and nostalgic stimuli. This paper focuses on how nostalgia proneness and cues, artificial intelligence‐based individualized experienc...

Nabeel Rehman, Asad Abbas Jaffari, Maria Palazzo · 0 citations
Jul 2026

How consumers respond when brands disclose using AI in creating social media content: examining brand personification and communication strategies

This research provides the first examination of how AI disclosures shape consumer responses in the context of brand personification and offers practical guidance for branding professionals aiming to sustain favorable consumer responses when integrating AI into brand personification strategies.

Lin-Wan Wu · 0 citations
Review Open access Aug 2026

Human vs. AI Influencers: Understanding Consumer Engagement and Brand Attachment

Consumer reactions to both human and AI influencers across six dimensions lend support to a mechanism-based perspective where the type of influencer influences engagement and brand attachment indirectly via credibility and relational dynamics rather than solely through the distinction between human and AI influencers.

P. C. Reddy, Arputha Sahaya Raj J, V. Hiremath et al. · 0 citations
Open access Aug 2026

Expressive authenticity as a behavioral buffer: how advertising recognition shapes engagement in social commerce

With the widespread adoption of social e-commerce platforms, users are increasingly exposed to branded content that blends commercial persuasion with personal expression, raising important questions about how users psychologically respond to such content in terms of engagement-related behavioral tendencies. This study...

Wenjing Liu · 0 citations

Related blog posts

MIT News · Artificial Intelligence Oct 15, 2026

AI model decodes the language cells use to communicate

A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.