Right from the day of his arrest, social media has been ‘cluttered’ with messages calling for Bobi Wine’s release under several freedom themed hashtags.
It became practically impossible, to navigate through any timeline without sight of an update away from Bobi Wine or his situation or at least calling for action.
Nile Post reviewed analytics, to ascertain the social media contribution towards Bobi Wine’s impeding freedom.
About 8299 tweets went up under 7 hours with a reach of approximately 12 million and 25.5million twitter impressions.
A potential impression means a tweet has been delivered to a Twitter account’s timeline. Not everyone who receives a tweet will read it, but it’s possible they could. Potential reach and impressions give you an idea of the overall potential size of a conversation.
In other words, Reach is the total number of people who see your content. Impressions are the number of times specific content is displayed, no matter if it was clicked or not.
Content about #FreeBobiWine was retweeted 792, 742 times in 7 hours on average and liked/favorited 1.2million times with about 370 replies on average.
We also got to understand that of the several tweets sent out, only 12% were original while the rest of the people only retweeted (83%) and engagement was on the lowest end.
The biggest percentage of tweets were with mobile phones, with 64.9% coming off android phones, 15% by Iphone users while the rest (9.7%) were generated by desktop/web.
Also when consulted, analytics revealed that of the several tweets sent out, the biggest percentage had a neutral sentiment, which could be explained by the fact that there were fewer Ugandans engaged in directing tweeting on the subject, most were only retweeting.
Still on sentiment, 22.8% of the tweets were terrible, 12.1% were represented bad sentiment and 35.2% of the tweets were neutral, 16.8% and 13% good and great respectively.
Twitter sentiments is identifying the emotional tone in the series of words that make one tweet, it could also be technically referred to as opinion mining. It is arrived to by capturing the words used in a tweet to determine the ‘mood’ of the tweep (person tweeting) .
Ugandans were upstaged mostly by their Kenyan counterparts in calling for Bobi Wine’s freedom, which also could be explanation as to why, retweets registered highly as well as neutrality in sentiments.
There was no Ugandan registered among the first 20 influencers on any Bobi Wine related hashtag. Kenyans took the first 17 positions, One for Tanzania and Ghana.
Among top influencers is Kenyan award winning photojournalist, politician and activist Boniface Mwangi, Kenyan blogger Robert Alai, investigative journalist and anchor John Allan Namu and embattled Kenyan lawyer and opposition member Miguna Miguna.
“Even in this dark time of his life, the solidarity shown for @HEBobiwine , to me, should tell @KagutaMuseveni that he is faced by a generation whose idea of leadership doesn’t include him and his generation. #FreeBobiWine,” a tweet from John Allan Namu
Uganda on the other end obtained popular tweets from among others; Irene Ntale, A-Pass, Radio and Weasel, and Mr Mosh- all artistes, another proof that artistes took on social media more aggressively as compared to corporates, and others.
Ugandan media were also silent with the likes of CNN, BBC and Guardian taking the days.
Ugandan performance however, was more consistent on Facebook but still not sufficient. Our analysis however could not determine whether the performance is on the backdrop of social media tax which could have locked out more people or because those using Virtual Private Network (VPN) could have located themselves elsewhere (for Facebook strictly).
Additional contribution and stats by Danze Edwin