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

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.
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https://hal.inrae.fr/hal-03325423
Contributor : Laurent Garnier <>
Submitted on : Tuesday, August 24, 2021 - 5:27:25 PM
Last modification on : Tuesday, September 7, 2021 - 3:44:39 PM

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Sarah Ottavi, Sébastien Roussel, Arielle Syssau. The French Affective Images of Climate Change (FAICC): A Dataset With Relevance and Affective Ratings. Frontiers in Psychology, Frontiers, 2021, 12, ⟨10.3389/fpsyg.2021.650650⟩. ⟨hal-03325423⟩

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