We blend social data analytics with qualitative richness to enhance the use of digital media in advocacy and community engagement.   

 

 

Ideas travel through social networks. Collective actions stem from interconnected crowds.  We use social network analysis (SNA) to reveal a community of vocal dissents on the Chinese Twitterverse. 

 

 

 

 


How political parties in Singapore use Twitter?

With the upcoming Singaporean General Election in 2015, we have launched this visualization tool for tracking SG political parties's expenditure on social media engagement, and what their ROI (return from investment) is like. 

The story of SG politics involves a top-gun (People's Action Parties, PAP) and various underdogs (a.k.a opposition parties). Due to the strong governance of PAP (the ruling party), opposition parties' influence seems rather weak. But the political landscape is shifting, and perhaps, from our visualization, you can predict which way the wind is blowing.

We have stopped updating the data for this visualization. We are currently migrating the tool from R to Python.

Launch the visualization

The Social Media ROI of U.S. presidential candidates

George W. Bush,  after winning the 2004 US presidential campaign, said, "I earned capital in this campaign, political capital, and now I intend to spend it." 

Now, let's take a look at how candidates in the 2016 presidential race earn their social capital on social media and how they translate that into the power of getting messages across.

We have stopped updating the data for this visualization. We are currently migrating the tool from R to Python.

Launch the visualization

Underdogs and Outliers 

Aren't we all love the story of David and Goliath? Bernie Sanders is a clearly an underdog in the 2016 race. But he is surging as of the writing. What about Donald Trump? Clearly an outlier, who keeps fueling a media frenzy.  In this visualization, we use Instagram data to map where the supports of the two distinctive candidates are. 

But, sorry folks....we have stopped updating the tool with new data. So the trend you see is no longer up-to-date! But, no worries! We are looking to revive it soon!

Launch the tool (note: data no longer up-to-date) ›