A glimpse at our current projects…

The Feel-Good Factor

We’re building on Jennifer Jerit’s groundbreaking work on warm glow—the intrinsic emotional reward people feel when they engage in prosocial behavior, such as acting sustainably—by exploring how that feeling can be harnessed to drive meaningful climate action across political divides. Inspired by her finding that warm glow is especially effective among Republicans and in motivating high-effort, visible behaviors, our study extends this insight into the realm of communication and perception. Within DIRECT, we’re investigating how emotionally resonant, self-reflective messaging can activate this warm glow effect and shift not just attitudes, but real-world intentions. By examining how people feel, remember, and respond to sustainability prompts, this project opens the door to more human-centered, bipartisan strategies for climate engagement, ones that appeal to shared emotional experiences rather than ideological persuasion.

Framing the Future:

This project explores how different emotional framings of climate change messages impact people’s conscious and subconscious reactions across political lines. By using a unique blend of human- and AI-generated imagery, along with real-time emotion measurement tools like facial expression rating and implicit association tasks, we aim to discover how message valence and source credibility shape persuasion, emotion, and ultimately pro-environmental behavior. As part of the Dartmouth Initiative for Research on Communication and Energy Transformation, this study goes beyond surface-level polling and taps into the emotional fingerprints that make climate communication resonate (or backfire!) depending on who you are and how the message is framed. By leveraging dynamic, perceptually grounded design, we hope to create improved civic messaging that works effectively across the ideological spectrum.

Seeing Green,

Thinking Fast

This research initiative explores the hidden emotional reflexes that shape how people respond to climate change—often before they’re consciously aware of it. By using a classic Implicit Association Test (IAT) paradigm, we measure how quickly individuals associate emotionally valenced words (like “kitten – pleasant” or “trash – terrible”) and climate-related terms (like “recycle” or “fossil fuels”) with positive or negative feelings. This approach reveals fast, automatic associations that often bypass conscious reasoning and may not be captured through traditional surveys. By mapping these implicit attitudes across ideological, demographic, and emotional dimensions, the project uncovers how political identity influences emotional responses to climate messaging. As part of the Dartmouth Initiative for Research on Communication and Energy Transformation, this work offers powerful new tools to decode the mental shortcuts behind climate opinion—and to design more emotionally intelligent messages that resonate where facts alone often fall short.

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