This article analyzes the idea of how virality can be influenced by the emotions felt by the audience. For example, the article explains how people who feel emotions such as happiness as result of viewing certain content are more likely to share it with their friends and networks, therefore contributing to it going viral. The article also uses data collected from Fowler and Christakis' study in 2008 which monitored the emotions people experienced when sharing things on Twitter.

Burstein's article looks into the concept of virality from a marketing standpoint and examines how to use social media in order to market a product or brand in a way that it will reach a large audience and reach a level of virality. Burstein says that although you do you know have full control of whether your message will reach viral status, there are ways in which to encourage virality. For example, Burstein explains getting involved with your audience and being engaged with social media outlets. As well, he advises marketers not to come off as "salesly" or pushy, and to instead recognize the needs of your audience.

In this article, Jonah Berger explains "what makes things go viral," essentially what common themes tie things together when being virally shared. Berger expresses that there is a science behind why content go viral- for example, he says that virality can depend on the medium of how it's shared and it's level of sharability (ex. Facebook or Twitter). Also, Berger notes that another reason why content goes viral is because individuals want to appear more intelligent by sharing certain links that make them look better. Berger also explains that viral content has a related theme of "triggers," meaning it appeals to our stimuli in the form of sight and sound.

Is there a way of predicting if content will go viral? This article, published by Forbes magazine, written by Roger Wu, attributes the viral success of a certain types of media such as videos, images and sound clips into two categories: the "Roadblock Effect" or the "Stagger Effect." Wu explains that viral content can be divided into these two categories and can therefore be used to determine whether or not content will go viral.

This article explains how although it is not always possible to predict if content will go viral, there are some similarities between content that has gone viral in the past. For example, Walter explains that viral content shares common features like addressing real-world problems, by evoking emotion (such as anger or humour), and usually has an element of surprise. Walter also adds that how material is distributed and by whom (ex. if celebrities are endorsing it) often plays a key role in whether it will reach a level of virality.