


Overall, the researchers concluded that social media use was linked to “modestly lower levels” of stress. The same effect wasn’t found for men, whom the researchers said had a more distant relationship with social media. Twitter was found to be a “significant contributor” because it increased their awareness of other people’s stress.īut Twitter also acted as a coping mechanism – and the more women used it, the less stressed they were. In the survey of 1,800 people, women reported being more stressed than men. In 2015, researchers at the Pew Research Center based in Washington DC sought to find out if social media induces more stress than it relieves. People use social media to vent about everything from customer service to politics, but the downside to this is that our feeds often resemble an endless stream of stress. BBC Future reviewed the findings of some of the science so far: That said, this is a fast-growing area of research, and clues are beginning to emerge. The research that does exist mainly relies on self-reporting, which can often be flawed, and the majority of studies focus on Facebook. Since social media is relatively new to us, conclusive findings are limited.

When the mass media reporting data is included in the model, two peaks of infection result.This story is featured in BBC Future’s “Best of 2018” collection. We find that the report rate and the rate at which individuals relax their healthy behaviours (media fatigue) greatly affect the variability in important public health measurements. We also include mass media report data compiled by the Global Public Health Intelligence Network, to study the effects of mass media reports in the 2009 H1N1 pandemic. In this study we employ a stochastic agent based model to provide a quantification of mass media reports on the variability in important public health measurements. Mathematical models can be used to study the effects of mass media reports on epidemic/pandemic outcomes. Mass media fatigue, however, can dampen these effects.

Mass media reports on an epidemic or pandemic can provide important information to the public, and in turn, can induce positive healthy behaviour practices (i.e., handwashing, social distancing) in the individuals, that will reduce the probability of contracting the disease. Controlling the spread of influenza to reduce the effects of infection on a population is an important mandate of public health.
