#Olytico Trends Weekly Review of Social Media Analysis 3.24.15

Each week, the team at Olytico select some of the best examples of social media monitoring and analysis from across the globe. This week we look at four key pieces of research: how people reacted to “Game of Thrones”; the #ZeroTrollerance campaign; top tweeting political journalists; and how Twitter can predict Emergency Room rush hours.

Who’s Trending in the Seven Kingdoms?

“For the past week, our social media monitoring software, Digimind Social, has been tuning-in 24/7 to what social is saying about the well-loved warriors of Westeros to provide you with up-to-the-minute analytics of what and who is trending in the Seven Kingdoms.”

Digimind Social tracked how the hashtag #GoTSeason4 was used on social media on April 6th, the season 4 premiere. House Stark of Winterfell won the majority of mentions at 27%.

Photo Credit: Digimind
Photo Credit: Digimind

Game Of Thrones Season 4: Fight to the Social Media Death (Digimind)

Twitter Trolling

“Roughly a fifth of the tweets were actively threatening, and they were disproportionately aimed at women, and in particular women of colour. Often, people were attacked purely because of their gender.”

The Peng! Collective – a group of German activists – have launched a counterattack. Their Zero Trollerance programme uses automated Twitter accounts to detect and deter online misogyny.

These Twitter Bots Not Only Detect Online Misogyny, But Stage An Intervention (Buzzfeed) 

Top Political Journalists on Twitter

“StatSocial, a social media analytics company, is out with a new list of “most influential political journalists” on Twitter. After looking at 3,000 journalists and measuring the engagement of their respective followers, StatSocial came up with the most influential 1,969 political journalists and bloggers on Twitter.”

A new study outlines which political journalists are shaping national conversations on Twitter.

 How to become an ‘influential’ journalist on Twitter (WashingtonExaminer.com)

 Twitter Could Predict Asthma-Related ER Visits

“To find a connection between tweets about asthma and asthma-related emergency room visits, they combed through Twitter streams for 19 keywords, such as “asthma attack” and “inhaler”….They compared the Twitter post trends to air quality data from the Environmental Protection Agency…They found a correlation between tweets about asthma, changes in air quality and asthma-related emergency room visits”

A study combining Twitter posts and air quality by the University of Arizona could potentially predict asthma-related ER rush hours with 70% precision.

Photo Credit Jim Young/Reuters
Photo Credit Jim Young/Reuters

Twitter Could Predict Emergency Room Rush Hours (MSN)

 

 

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