2015
DOI: 10.1080/15205436.2015.1045299
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Images of Injury: Graphic News Visuals’ Effects on Attitudes toward the Use of Unmanned Drones

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Cited by 23 publications
(7 citation statements)
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“…If the analysis showed greater than f = 1.72 with effect size = 0.15, alpha probability = 0.05, and power (1 − β ) = 0.95, and predictors = 15 at maximum, the sample size should be at least 199. Therefore, the number indicated that the sample size of 352 was acceptable for a valid analysis (Scharrer & Blackburn, ). Survey questions consisted of communication infrastructure, SUD indicators, collective efficacy, action context agents, and demographic components.…”
Section: Methodsmentioning
confidence: 99%
“…If the analysis showed greater than f = 1.72 with effect size = 0.15, alpha probability = 0.05, and power (1 − β ) = 0.95, and predictors = 15 at maximum, the sample size should be at least 199. Therefore, the number indicated that the sample size of 352 was acceptable for a valid analysis (Scharrer & Blackburn, ). Survey questions consisted of communication infrastructure, SUD indicators, collective efficacy, action context agents, and demographic components.…”
Section: Methodsmentioning
confidence: 99%
“…Arpan et al () used images of social protests to show that images depicting higher levels of conflict led to more negative evaluations of the protest and protestors, but only when the issue was of interest to participants. More recent studies focused on international affairs to show that military images, particularly graphic photographs (Scharrer & Blackburn, ) and those showing conventional images of loss (Gartner, ), can decrease support for war. Taken together, these studies point toward picture superiority effects.…”
Section: The Power Of Visualsmentioning
confidence: 99%
“…Among many types of unintended effects (Byrne & Niederdeppe, 2011; Cho & Salmon, 2007), we focused on policy opinions as the primary outcome for two reasons: first, according to Cho and Salmon (2007), policy opinions direct unanticipated outcomes of strategic messaging from the individual to the societal level—a less studied form of unintended effects than self-directed outcomes; second, policy opinions are often based on core moral values, reflecting individuals’ normative positions on right or wrong (Haidt, 2012; Prinz, 2007). Existing research on visual messages and policy opinions (Powell, Boomgaarden, De Swert, & de Vreese, 2015; Scharrer & Blackburn, 2015) has not yet explicitly addressed the connection between visual elements and the moral basis of these policy opinions. To our best knowledge, the current research is the first to apply MFT to explain unintended effects of visual message cues, although MFT has already guided research on media enjoyment and appreciation (Lewis, Tamborini, & Weber, 2014; Tamborini et al, 2013), persuasiveness of textual moral frames (Feinberg & Willer, 2015; Kidwell, Farmer, & Hardesty, 2013; Wolsko, Ariceaga, & Seiden, 2016), and effects of media influences—especially narratives and exemplars—on the salience and endorsement of moral values (Eden et al, 2014).…”
mentioning
confidence: 99%