Our Social Outreach
Media Negativity Index
Modern societies are dominated by negative news. As the matter of fact, our societies look much darker in media, than in reality. And it has been like that from the beginnings of journalism. How does media negativity impact societies around the world?
As part of our social outreach, 9thgn analyzes levels of negative emotions in media and societies. Firstly, we recognized the most influential mass media in 11 counties, and their followers on social media. We set the 9thgn to conduct live monitoring of negative emotions, based on analysis of posts published by both media and society members. This is considered the Media Negativity Index (MNI).
Therefore, the MNI can help NGOs, journalists, legislators and general public follow state of media negativity. As a result, they can propose solutions, education programs and regulations. The goal is to make media more realistic. We believe the process can translate into happier and more productive societies.
To sum up, we present some of our general findings. You can get a glimpse into media impact by taking a look at a presentation below.
Media Negativity Live Graphs
Below are live MNI graphs. They are updated each day. Latest scores are from two days ago. As a result, we can conclude how much media are distorted from social reality. We can clearly see the disproportion between negative emotions expressed in media and negative emotions expressed by society members.
In short, media are most negative in Argentina, the UK and Serbia. On the other hand, the most negative societies are US, Russia and Serbia. However, the greatest disproportions between media and social negativity are in Argentina, Germany and the UK. To conclude, scores of negative emotions are higher in media, than in groups representing common population in all countries.
UK society vs. media negativity
French society vs. media negativity
German society vs. media
Russian society vs. media
Argentinian society vs. media
Portuguese society vs. media
Dutch society vs. media
Italian society vs. media
US society vs. media
Spanish society vs. media
Serbian society vs. media
When compared to calculations behind the Media Negativity Index, 9thgn platform is based on machine learning algorithm that takes into account numerous additional parameters. As a result, our AI powered Rezonate algorithm comes out with motivators, impact words and emotional intensity rates for each target group. These output elements can be applied in any form of marketing communication and CRM.
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