Polidashboard was created and is maintained by members of the Social Media Lab. It’s a visualization dashboard designed to help voters, members of the media, and campaign staffers to gauge the health of political discussions on Twitter, our new “digital town hall’.

The dashboard can automatically classify the polarity of tweets containing the hashtag #cdnpoli in real-time to determine whether the opinions and attitudes of discussants in the #cdnpoli conversation is positive, negative, or neutral. Polidashboard is currently still in beta and is used as a training platform for our students. The dashboard brings together three different systems. The first is a data collection tool that collects public tweets from a politically relevant hashtag(s) in real-time. The second is an indexing system that breaks up an individual tweet into 200+ data points for analysis. The third is an analytics system that analyzes and visualizes the results. Together, these three systems provide users with real-time insights into the health of political discussions on Twitter.

Have an idea for improving the dashboard? Wish we reported some other Twitter stats? We welcome comments and suggestions for improving the dashboard. If you have any questions, please contact us via info[at]socialmedialab.ca. 

Social Media Lab

Located in the heart of downtown Toronto, the Social Media Lab is a multi- and interdisciplinary research laboratory at Ted Rogers School of Management at Ryerson UniversityThe lab studies how social media is changing the ways in which people and organizations communicate, share information, conduct business and form communities online, and how these changes impact society. The lab’s research seeks to advance the public’s understanding of the benefits and pitfalls of social media adoption.

The Lab conducts research in a wide variety of areas including: Academia, Health, Information Privacy, Online Communities, Organizational Social Media Use, and Politics. The broad aim of the lab’s various research initiatives is to provide decision makers with additional knowledge and insights into the behaviors and relationships of online social network members, and to understand how these interpersonal connections influence our personal choices and actions. We also develop research apps, tools and methods for collecting, analyzing and visualizing publicly available social media data.