Are Anti-Prostitution Advertising Campaigns Effective? An Experimental Study
Gemma Sáez1, José Antonio Muñiz-Velázquez2, Guido Corradi3
1Universidad de Extremadura (Spain).
The Spanish Journal of Psychology
|August 3, 2022
Summary
Government campaigns targeting male prostitution consumers are more effective than those focusing on exploited women. This study found that ads addressing male behavior significantly impact attitudes and beliefs about prostitution.
Area of Science:
- Social Sciences
- Psychology
- Public Health
Background:
- Governments invest in anti-prostitution campaigns to reduce demand.
- Effectiveness of these campaigns on attitudes and behaviors remains unevaluated.
- Campaigns typically focus on either exploited women or male consumers.
Purpose of the Study:
- To evaluate the impact of different anti-prostitution advertisement themes on male attitudes.
- To compare the effectiveness of ads focusing on exploited women versus male consumers.
- To assess effects on social support for prostitution, beliefs about prostitutes, and related family values.
Main Methods:
- An experiment with 155 male participants was conducted.
- Participants were exposed to one of two advertisement themes or a control condition.
- Attitudes toward prostitution, beliefs about prostitutes, and family values were measured.
Main Results:
- Advertisements targeting male prostitution consumers significantly reduced social support for prostitution and incorrect beliefs about prostitutes.
- Advertisements focusing on exploited female prostitutes had no significant effect.
- The control group showed no significant changes in attitudes or beliefs.
Conclusions:
- Campaigns addressing male consumers are more effective in changing attitudes and beliefs about prostitution.
- Public communication strategies should consider targeting the demand side of prostitution.
- Findings offer practical guidance for governmental anti-prostitution initiatives.
Related Concept Videos
02:01Factorial Design
13.3K
Factorial Analysis is an experimental design that applies Analysis of Variance (ANOVA) statistical procedures to examine a change in a dependent variable due to more than one independent variable, also known as factors. Changes in worker productivity can be reasoned, for example, to be influenced by salary and other conditions, such as skill level. One way to test this hypothesis is by categorizing salary into three levels (low, moderate, and high) and skills sets into two levels (entry level...
13.3K
03:20The Stanford Prison Experiment
23.6K
The famous and controversial Stanford Prison Experiment, conducted by social psychologist Philip Zimbardo and his colleagues at Stanford University, demonstrated the power of social roles, social norms, and scripts.
23.6K
01:52Persuasion Strategies
39.4K
Researchers have tested many persuasion strategies, including the foot-in-the door and the door-in-the-face techniques, in a variety of contexts. Ultimately, the principles are effective in selling products and changing people’s attitude, ideas, and behaviors (Cialdini & Goldstein, 2004).
39.4K
02:20Routes of Persuasion
64.8K
Persuasion is the process of changing our attitude toward something based on some kind of communication. Much of the persuasion we experience comes from outside forces. How do people convince others to change their attitudes, beliefs, and behaviors? What communications do you receive that attempt to persuade you to change your attitudes, beliefs, and behaviors?
64.8K
01:50Statistical Significance
20.4K
Once data is collected from both the experimental and the control groups, a statistical analysis is conducted to find out if there are meaningful differences between the two groups. A statistical analysis determines how likely any difference found is due to chance (and thus not meaningful). In psychology, group differences are considered meaningful, or significant, if the odds that these differences occurred by chance alone are 5 percent or less. Stated another way, if we repeated this...
20.4K
01:12What is an Experiment?
12.2K
An experiment is a planned activity carried out under controlled conditions. The purpose of an experiment is to investigate the relationship between two variables. When one variable causes change in another, we call the first variable the explanatory or independent variable. The affected variable is called the response or dependent variable. In a randomized experiment, the researcher manipulates values of the explanatory variable and measures the resulting changes in the response variable. The...
12.2K