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Employing Comics Storytelling to Promote Climate Change Mitigation: An Experimental Study Grounded on the Situational Theory of Public

Yu Guo et al.

Risk Analysis2026https://doi.org/10.1111/risa.70234article
AJG 4
Weight
0.50

What the paper says

This study examines the potential of comics as an infotainment strategy for engaging the public in climate change mitigation from the perspective of the situational theory of public. A 2 × 2 × 2 factorial experiment (N = 320) was conducted to evaluate the effects of narrative forms (comics vs. text-only), problem recognition (high vs. low), and constraint recognition (high vs. low) on individuals' intention to mitigate climate change. Three-way ANCOVA results suggest that the comic narratives combining high problem recognition and low constraint recognition about climate change will significantly increase individuals' intention to engage in climate change mitigation behaviors. Furthermore, the effect was found to be mediated by individuals' proactive climate change information seeking, involving the self-directed acquisition of climate change-related knowledge. In contrast, the passive route of climate change information processing, which involves incidental exposure and reactive engagement with information regarding climate change, failed to demonstrate significant mediation effects.

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Cite this paper

https://doi.org/https://doi.org/10.1111/risa.70234

Or copy a formatted citation

@article{yu2026,
  title        = {{Employing Comics Storytelling to Promote Climate Change Mitigation: An Experimental Study Grounded on the Situational Theory of Public}},
  author       = {Yu Guo et al.},
  journal      = {Risk Analysis},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1111/risa.70234},
}

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Employing Comics Storytelling to Promote Climate Change Mitigation: An Experimental Study Grounded on the Situational Theory of Public

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.