Emotions in Fake News[go to overview]
What if there was a tool that could not only detect fake news as they spread on social media but also predict the crowd behavior and emotional reactions toward fake news?
The explosive growth and fast propagation of fake news on social media has opened up new directions of research for mitigation of widespread impact of fake news on public opinion. The common point of existing computational approaches for analyzing user behavior in social media, is that they assume a purely rational behaviour of the involved users. However, this is not the case as humans are proved to behave differently, mixing rational and emotional attitudes to guide their actions.
One characteristic of fake news is that they are intentionally written to evoke emotions to the readers in an attempt to be believed and be disseminated in the social networks. The Merriam-Webster Online Dictionary defines emotion as “a conscious mental reaction (such as anger or fear) subjectively experienced as strong feeling usually directed toward a specific object and typically accompanied by physiological and behavioral changes”. This talk redefines the news diffusion problem outside of normal boundaries and propose a solution based on a multidisciplinary approach for investigating different types of emotions that news with various levels of credibility and topic will trigger in public.
23.10.19 - 10:15