The French Affective Images of Climate Change (FAICC): A Dataset With Relevance and Affective Ratings

Sarah Ottavi, Sébastien Roussel () and Arielle Syssau ()
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Sarah Ottavi: EPSYLON - Dynamique des capacités humaines et des conduites de santé - UPVM - Université Paul-Valéry - Montpellier 3
Arielle Syssau: EPSYLON - Dynamique des capacités humaines et des conduites de santé - UPVM - Université Paul-Valéry - Montpellier 3

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Abstract: In this paper,the authors provide a data report that describes an original dataset named French Affective Images of Climate Change (FAICC) database. The main objective is to provide tools for CC assessment. Images are rated by a sample of non-experts according to three variables: relevance to CC, arousal, and emotional valence. The database provides for each image an identification number, the mean rating and standard deviation of ratings for relevance, arousal and valence, respectively.

Keywords: climate change; emotion; French version; image database; valence; arousal; relevance ratings (search for similar items in EconPapers)
Date: 2021-08-06
New Economics Papers: this item is included in nep-agr, nep-env and nep-isf
Note: View the original document on HAL open archive server: https://hal.inrae.fr/hal-03325423v1
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Published in Frontiers in Psychology, 2021, 12, ⟨10.3389/fpsyg.2021.650650⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-03325423

DOI: 10.3389/fpsyg.2021.650650

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