Erratum to “Using photos for public health communication: A computational analysis of the Centers for Disease Control and Prevention Instagram photos and public responses”

Kim, Y., & Kim, J. H. (2020). Using photos for public health communication: A computational analysis of the Centers for Disease Control and Prevention Instagram photos and public responses. Health Informatics Journal, 26(3): 2159–2180. DOI: 10.1177/1460458219896673

In this article, the data in Table 5 was incorrectly listed. Due to a copyediting error, the decimal points were incorrectly shifted to the right, increasing the original value.

The corrected table is published below.

The subsequent versions will be corrected.

Table 5.

Correlations of photo feature with comment sentiment.

	Feature	Sentiment
Face features	Number of faces	0.034
	Closeup	0.054
	Face ratio	0.057
	Age	0.087*
	Female	0.008
	Anger	0.017
	Contempt	−0.029
	Disgust	0.007
	Fear	−0.014
	Happiness	0.119*
	Sadness	0.016
	Surprise	−0.025
	Neutral	−0.015
OCR feature	Number of words	−0.067*
Pixel features	Red mean	−0.043
	Red var	0.056
	Green mean	−0.056
	Green var	0.048
	Blue mean	−0.055
	Blue var	0.047
	Saturation mean	0.013
	Saturation var	0.007
	Value mean	−0.052
	Value var	0.088*
	Red share	0.000
	Orange share	0.048
	Yellow share	0.011
	Green share	−0.015
	Blue share	−0.006
	Violet share	–
	Share of warm colors	0.043
	Share of cold colors	−0.015
	Hue peaks	0.004
	Pleasure	−0.047
	Arousal	0.032
	Dominance	0.049
Visual features	Brightness	−0.055
	Colorfulness	−0.003
	Naturalness	0.019
	Contrast	0.063*
	RGB contrast	0.065*
	Sharpness	−0.061*
	Color diversity	0.078*
	Color harmony	0.021

OCR: optical character recognition; RGB: red, green, blue.

*

p < 0.5.