Persuasion Under Pressure: Trust-Based Communication for Climate Resilience

Presenter Information

LD MattsonFollow

Presentation Type

Long presentation (faculty/staff) 15-20 minutes

In Person or Zoom Presentation

In-Person

Campus

Daytona Beach

Status

Faculty

Faculty/Staff Department

Humanities & Communication

Presentation Description/Abstract

Despite general agreement that trust in a source increases a message’s persuasiveness, developing strategic messaging to increase perceived trustworthiness remains a challenge. This project tests a novel trust-building script for motivating extreme heat risk motivation to identify opportunities to simultaneously motivate sustainable adaptations to climate risk and rebuild trust in climate governance. Specifically, this study (N = 699) used a randomized controlled experiment to investigate if explicit appeals to trust and direct references to source trustworthiness might inadvertently trigger a backfire effect, reducing rather than increasing perceived trustworthiness. This presentation will share the experiment’s results as statistical analyses and applied best practice recommendations for sustainability stakeholders.

Keywords

extreme heat, climate communication, risk perception, public trust

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Persuasion Under Pressure: Trust-Based Communication for Climate Resilience

Despite general agreement that trust in a source increases a message’s persuasiveness, developing strategic messaging to increase perceived trustworthiness remains a challenge. This project tests a novel trust-building script for motivating extreme heat risk motivation to identify opportunities to simultaneously motivate sustainable adaptations to climate risk and rebuild trust in climate governance. Specifically, this study (N = 699) used a randomized controlled experiment to investigate if explicit appeals to trust and direct references to source trustworthiness might inadvertently trigger a backfire effect, reducing rather than increasing perceived trustworthiness. This presentation will share the experiment’s results as statistical analyses and applied best practice recommendations for sustainability stakeholders.