Food Porn & Food TheftFood porn effecting the likelihood of young males committing food theft

Food Porn and Food Theft

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Abstract:This study examine the likelihood of individuals committing food theft after being exposed to visually appealing images of food(i.e. food porn). The participants in this study are males aged 19-24 years old. The experimental group made up of 20 individuals who are shown 10 minutes of food porn everyday for two weeks; the control group, also 20 individuals, is shown 10 minutes of bland images of food for the same period of time. Everyday five minutes after the exposure of images the participants rate their likelihood of stealing food using the Food-Steal-O-Meter scale. The study shows that after exposure to the food porn, young males are more likely to steal the food than the control group.

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VS.

IntroductionFood porn is a worldwide phenomenon that effects

society, the advertisement industry and to a degree, the individual; it is rare that we stop to consider the possible societal outcomes and implications of such hedonistic imagery. According to urbandictionary, Food porn is defined as “ Close up images of juicy, and delicious food in advertisements.”

This study was conducted to provide insight on the effects of food porn.

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Food Porn Defined:http://www.youtube.com/watch?v=09Fd64V3

U10&feature=channel

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Hypothesis:If young males (aged 19-24) are

exposed to food porn than they are more likely to steal food from others.

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Independent & Dependant Variables

Independent Variable Food Porn- visually

appealing images of food

Dependant Variable Likelihood of Stealing

Food- measured with the Steal-O-Meter Scale

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Confounding VariableHunger levelsAnswering untruthfully to surveyControl foods still look appealing AllergiesEating DisordersResponse Bias Due To:

-Preferences in food taste- Culture and Religion-Dietary Choice-Moral against stealing-Age and Gender

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Methods and Procedure Forty young men aged 19-24 were randomly selected and divided into two

separate groups. One being the control group and one the experimental group.

Both the participants in the control group and the experimental group were individually placed in identical simple white walled cubicles. There were no windows in the vicinity and the air was filtered. No scents were permitted in the area and electronic devices were asked to be turned off. The cubicles contained only the chairs of the participants and the computer screens were set to the experimental videos and images. The images and videos were shown to each participant for 10 minutes everyday at 3pm for two weeks. At the end of the two weeks the participants filled out a Steal-O-Meter survey.

The experimental group was instructed to watch the visually appealing images and videos of food(i.e. food porn) on their computer screens.

The control group was instructed to watch images and videos of bland food on their computer screens.

Steal-O-Meter 0 - Never

1 - Unlikely2 - Maybe just once3 - Probably4 - Very Likely5 - Om nom nom.

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Results:Experimental Group

Control Group

N: 20 20

Raw Data: 5.00, 5.00, 5.00, 5.00, 5.00, 5.00, 5.00, 5.00, 4.00, 4.00, 4.00, 4.00, 4.00, 4.00, 3.00, 3.00, 3.00, 2.00, 2.00, 1.00

4.00, 4.00, 4.00, 4.00, 4.00, 3.00, 3.00, 3.00, 3.00, 3.00, 2.00, 2.00, 2.00, 2.00, 2.00, 2.00, 1.00, 1.00, 1.00, 1.00

Mode: 5.00 2.00

Mean: 3.90 3.15

Median: 4.00 3.00

Range: 4.00 3.00

SD: 1.21 0.875T Value: 2.25 P Value: 0.031

DiscussionProblems with research:• Being that we were the first to conduct this experiment, it was

difficult to attain comparable data from similar experiments.• Although we chose three o’clock as our experimental time,

because it was between two meal times, subjects ranging metabolism affected their hunger levels.

• The fact that all the subjects were roughly the same age, gender, and from the same part of the country, could potentially be an inaccurate population sample

• All the experimental subjects had different preferences in food. What acted as food porn for some, wasn’t appealing to others. This could be due to social class, ethnicity, or cultural predisposition.

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DiscussionFuture Research: Extreme hunger causes higher crime rate in

homelessness Food porn is a very effective form of

advertising in young males What are possible societal

implications of food porn?

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DiscussionApplications: Raises awareness of the effects of appealing food

in the advertising industry, demonstrating that food porn causes people to want food they would otherwise not desire.

Informs the public that extreme hunger and psychological effects of food porn can lead to serious lapses in moral decisions, leading people to potentially commit acts of deviance.

Raising awareness of the possible social implications of Food Theft as a result of exposure to food porn.

http://www.riverfronttimes.com/slideshow/food-porn-at-taste-of-st-louis-2009-28522415/

In today’s society imagery plays a huge role in advertising; the impact on society and the individuals exposed to such advertising is still fairly new and unknown. However, as a result of advertising and exposure to images of food in such a way that makes it look attractive, research showed the likelihood of young males committing acts of deviancy towards others foods is significantly increased. This is shown through the increase in individuals willingness to steal the food of others after being exposed to “Food Pornography” on a regular basis, while the control group showed significantly less likelihood to steal food after being shown images of less attractive images of food. No one likes g getting their food stolen.

Summary

http://www.harvardculinary.com/page/5/

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Possible Social Implications of Food Theft?

http://www.youtube.com/watch?v=ziQrW-dOGWc

http://fffriends.tumblr.com/post/108947098/5x09-tow-ross-sandwich-ross-you-ate-my

ReferencesPenrod, B., & VanDalen, K. (2010). An evaluation of

emerging preference for non-preferred foods targeted in the treatment of food selectivity. Behavioral Interventions, 25(3), 239-251. Retrieved from PsycINFO database.

Mustonen, S., & Tuorila, H. (2010). Sensory education decreases food neophobia score and encourages trying unfamiliar foods in 8–12-year-old children. Food Quality and Preference, 21(4), 353-360.

Castellanos, E., Charboneau, E., Dietrich, M., Park, S., Bradley, B., Mogg, K., et al. (2009). Obese adults have visual attention bias for food cue images: evidence for altered reward system function. International Journal of Obesity, 33(9), 1063-1073.