Making Social Media Matter is a hands-on 3-day workshop designed to equip attendees with the knowledge and skills to quickly analyze and visualize data from popular social media platforms like Twitter.
Visit the official MSMM site and register at http://sites.bu.edu/social-media-analysis/
The tools demonstrated in this workshop for network analysis, geolocation, and machine learning are at the forefront of social media research and will equip attendees — even those with no computational training — with expert understanding of how to collect, analyze, visualize, and interpret social media data for internal and public use.
In addition to covering the theoretical bases of working with and modeling big data, the training in this workshop will include access and use of leading data platforms, such as the Boston University Twitter Collection and Analysis Toolkit (BU-TCAT), Gephi, Discovertext, and R.
Media professionals, researchers, students, and anyone wanting to make sense of social media will benefit from attending this workshop. All participants that successfully complete this workshop will:
• Earn a Certificate in Social Media Analysis: Principals and Practices for Big Data from Boston University.
• Gain access to exclusive data analysis tools that can collect and analyze millions of units of social media content.
• Go beyond simple analytic dashboards and dive deep into data to take their analytic skills to the next level.
IN JUST 4 STEPS
Collect: Examine millions of users and their posts online, and manage those queries at scale.
Analyze: Learn which algorithms to apply, and how they work, in order to best answer your specific analytic question.
Visualize: Represent big data in easy-to-understand graphs using industry leading software that will inform others quickly.
Interpret: Use social network analysis to find influential users and understand information flows to leverage your message.
AND ONLY 3 DAYS
• Morning session 1: Opening keynote with Dr. Stuart Shulman, CEO and founder of DiscoverText.
• Morning session 2: Install and run test queries on new software packages.
• Afternoon session 1: Learn what network analysis is, the value of visualizing social media, and how algorithms can solve client or research problems.
• Afternoon session 3: Form analysis teams, pick research topics and run practice queries with individualized supervision from our expert tutors.
• Networking reception with drinks and appetizers @Scoozi.[Meet up]
• Morning session 1: Analysis teams report findings from Day 1, with critique and input for additional development from expert faculty and staff, followed by Q & A sessions for each team.
• Morning session 2: Understanding what geolocation is, how to map users and connect their location with what they are saying.
• Afternoon session 1: Learn to use sample queries to find users, place them into geographical locations, and extract the sentiment.
• Afternoon session 2: Teams develop geolocative analyses using BU-TCAT and Gephi on their chosen research topics. Expand work into more advanced selection and application of algorithms.
• Informal conversation and feedback with colleagues and staff @Waxys.
[Optional meet up]
• Morning session 1: Analysis teams report findings from Day 2, with critique and input for additional development from expert faculty and staff, followed by Q & A sessions for each team.
• Morning session 2: Guest lecture by Dr. Lei Guo on the value of machine learning, and computational coding. Learn how to explore textual analyses of social media content at scale.
• Afternoon session 1: Use sample queries to train the open-source software program R to read and categorize text in big data (no previous computational training in R required).
• Afternoon session 2: Teams regroup to teach R how to read and categorize social media content on their chosen research topics. Conclude with a visual, statistical report of social media content across defined categories and sentiment summary.
• Workshop wrap up and certificate presentation @Eastern Standard.
DAY FOUR (OPTIONAL)
Book an individual 2-hour session:
• Bring a question, problem, or dataset from your organization or your personal research interests to dive deep into your data.
• Use the training and software tools that you have just mastered to answer your specific questions and gain actionable insights.
• Receive expert one-on-one feedback and coaching from members of the workshop faculty and staff.
• Registration required, additional fee of $285 applies. Space is limited, pre-registration recommended.
WITH OUR TEAM OF EXPERTS
Led by Professor Jacob Groshek, the instructional team includes world renown experts that work at the intersection of the media industry and academia. You will have hands on one-to-one interactions with an award-winning group of scholar / practitioners that have decades of experience in designing systems and developing solutions that are applied to topics that include but are not limited to politics, health, science, sports, business, and -- of course -- media. In addition to our highly trained support staff of advanced doctoral candidates, confirmed speakers include:
- Stu Shulman, PhD, CEO and Founder of DiscoverText
- Lei Guo, PhD, Boston University Division of Emerging Media
JOIN US FOR AN INVALUABLE EXPERIENCE
- Professionals: $985
- BU alumni, faculty and staff: $885
- Students (verified by valid student ID): $685
- Personalized data sprint day (optional): $285
Each participant that successfully completes all three days of the workshop will receive a Certificate in Social Media Analysis from the Boston University College of Communication* as well as one month’s free access to the BU-TCAT.
*pending workshop certificate approval from the Office of the Provost
Register here https://www.bu.edu/com/social-media-analysis/