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Over the past two weeks, we have been observing, in various variations, how the resignation of Boris Johnson takes place on social networks.
Various hashtags related to Boris Johnson are trending on various social networks.
On Twitter alone, we found more than 60,000 posts tagged #borisjohnson since June 21, about 4,000 for #borisjohnsonmustgo, and over 5,000 for #BorisJohnsonResign.
As for Facebook, #borisjohnson has over 260,000 all-time posts, #borisjohnsonmustgo has over 35,000 posts, and #borisjohnsonout has over 5,000 posts.
On Instagram, posts are distributed as follows: #borisjohnsonshouldnotbepm - more than 4,500 posts, #borisjohnson - 331,200 posts, #borisjohnsonpm - more than 3,000 posts.
According to the Semantrum* system, world media also reacted to the resignation of B. Johnson - out of 25,284 publications in the TOP international press (for the purity of statistics, we removed the British media - in total, there were more than 16,000 mentions in the British media for the period from June 21 to July 21). TOP MEDIA refers to media with a monthly audience of more than 1.5 million visitors.
TOP 7 regions by the number of mentions of Boris Johnson in the last month:
Western Europe - 4,782 mentions, Russia - 3688, Ukraine - 3353, USA - 3028, Eastern Europe - 2803, Southern Europe - 2574, India - 2049.
Undoubtedly, the topic has become one of the most discussed in the global information community.
Based on the hashtags, one could assume that people discuss B. Johnson's resignation only in a negative way. Still, if you look at the comments under the post itself, authored by Boris Johnson, you can see that the total number of positive comments is much higher than the negative ones.
In BrandVox we have analyzed over 17,000 comments on Twitter under the post about the resignation. Let's see what we can find in the list of words:
TOP-5 emotions by the power of publications:
LOVE ❤️
DESPAIR 😭
REMORSE 😩
SHAME 🥺
OPTIMISM 😄
*The materials were prepared using data from the Semantrum media monitoring and reputation analytics system and the automatic emotion detection algorithm of the BrandVox