The "CNN effect" is the phenomenon whereby people's behavior is influenced by the way in which events are presented in the media. The term was coined in the early 1990s, in relation to the way in which the 24-hour news channel CNN was seen to be influencing the decision-making of US policy-makers during the First Gulf War.
The CNN effect has been described as a form of "media contagion", in that the way in which events are presented in the media can have a direct and immediate impact on people's behavior. The effect is thought to be particularly pronounced in times of crisis, when people are more likely to be exposed to news coverage and less likely to have the time or inclination to question what they are seeing.
There is some evidence to suggest that the CNN effect is real and that it can have a significant impact on people's behavior. A study of the 2006 Israel-Lebanon war found that, for those who were exposed to more news coverage, there was a greater likelihood of support for military action. Another study found that, after the 9/11 attacks, people who watched more news coverage were more likely to donate blood.
However, it is also worth noting that the CNN effect is not always a positive force. In some cases, it can lead to panic and irrational behavior. For example, during the 2015 Ebola outbreak, there was a spike in demand for Ebola-related Google searches after each news story about the disease. This led to a number of people self-diagnosing themselves with Ebola, even though they were not at risk of contracting the disease.
How many types of CNN are there? There are three types of CNNs:
1. The feedforward neural network, which is the simplest type of CNN.
2. The recurrent neural network, which is more complex and can learn from previous inputs.
3. The convolutional neural network, which is the most complex and can learn from both previous inputs and local patterns. What are the three media effects? The three media effects are:
1. The ability of media to influence our behavior
2. The ability of media to influence our emotions
3. The ability of media to influence our thoughts Is CNN an algorithm? No, CNN is not an algorithm. It is a type of artificial neural network (ANN) that is used to model complex patterns in data. Who developed CNN? There are many individuals who have been instrumental in the development of CNN. Some of the most notable include:
- Geoffrey Hinton, who developed the backpropagation algorithm, which is a key component of neural networks.
- Yann LeCun, who developed the convolutional neural network (CNN), a type of neural network that is particularly well-suited for image recognition tasks.
- Andrew Ng, who co-founded the Google Brain project, which was responsible for developing many of the deep learning algorithms that are used by CNNs.
What is the CNN effect quizlet? The CNN effect is the tendency for people to make decisions based on information they see on television, particularly news programs. The term was first coined in the early 1990s, when it was observed that people were more likely to donate to relief efforts if they saw images of suffering on television. The effect has been studied extensively in the field of behavioral economics.
There is some evidence that the CNN effect may be waning in the era of social media, as people are now exposed to a wider range of information sources. However, the effect is still believed to play a role in how people make decisions about important issues.