Social Transmission, Emotion, and the Virality of Online Content
نویسندگان
چکیده
Why are certain pieces of online content more viral than others? This article takes a psychological approach to understanding diffusion. Using a unique dataset of all the New York Times articles published over a three month period, the authors examine how emotion shapes virality. More positive content is more viral than negative content, but the relationship between emotion and social transmission is more complex than valence alone, and is driven in part by arousal. Content that evokes either positive (awe) or negative (anger or anxiety) emotions characterized by high arousal is more viral. Content that evokes low arousal emotion (sadness) is less viral. These results hold controlling for how surprising, interesting, or practically useful content is (all of which are positively linked to virality), as well as external drivers of attention (e.g., how prominently content was featured). Experimental results further demonstrate the causal impact of arousal on transmission and generalize the findings to positive emotions. Together, these findings shed light on why people share content, provide insight into designing effective viral marketing campaigns, and underscore the importance of individual-level psychological processes in shaping collective outcomes.
منابع مشابه
Attractability and Virality: The Role of Message Features and Social Influence in Health News Diffusion
What makes health news articles attractable and viral? Why do some articles diffuse widely by prompting audience selections (attractability) and subsequent social retransmissions (virality), while others do not? Identifying what drives social epidemics of health news coverage is crucial to our understanding of its impact on the public, especially in the emerging media environment where news con...
متن کاملDeep Convolutional Networks for Modeling Image Virality
Study of virality and information diffusion is a topic gaining traction rapidly in the computational social sciences. Computer vision and social network analysis research has also focused on understanding the impact of content and information diffusion in making content viral. We present a novel algorithm to model image virality on online networks using the increasingly popular deep convolution...
متن کاملViral content propagation in Online Social Networks
Information flows are the result of a constant exchange in Online Social Networks (OSNs). OSN users create and share varying types of information in real-time throughout a day. Virality is introduced as a term to describe information that reaches a wide audience within a small timeframe. As a case, we measure propagation of information submitted in Reddit, identify different patterns and presen...
متن کاملExploring Text Virality in Social Networks
This paper aims to shed some light on the concept of virality especially in social networks and to provide new insights on its structure. We argue that: (a) virality is a phenomenon strictly connected to the nature of the content being spread, rather than to the influencers who spread it (b) virality is a phenomenon with many facets, i.e. under this generic term several different effects of per...
متن کاملA means to an end: Using political satire to go viral
With the rise of video sharing giants like Youtube and Google Video, coupled with increased broadband connectivity and improved sharing functionality across social networking sites, the role of the viral video has been cemented in many IMC strategies. While most agree about the importance of better understanding viral marketing, there is less agreement about what makes content become viral. Whi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2010