This is a presentation at SCA2013, Karlsruhe, Germany. This shows the design (architecture, database, sketch, wireframe, prototype) of a simple web-based tool that supports asynchronous collaboration among researchers when conducting content analysis on qualitative social media data.

1. A Web-Based Tool for Collaborative
Social Media Data Analysis
Xin Chen, Mihaela Vorvoreanu, Krishna Madhavan
{chen654, mihaela, cm}@purdue.edu

2. Motivation
Social Media Discourse

3. Motivation
Hidden Insights On
Human Behaviors &
Social Phenomenon

4. Motivation
Human generated textual data on social media are:
Qualitative Data
Large-scale Data

5. Motivation
Human generated textual data on social media are:
Qualitative Data
Large-scale Data
requires qualitative interpretation

6. Motivation
Human generated textual data on social media are:
Qualitative Data
requires qualitative interpretation
Large-scale Data
requires large-scale data mining techniques

7. Goal
To build a tool that:

8. Goal
To build a tool that:
Acquire social media data.

9. Goal
To build a tool that:
Acquire social media data.
Integrate qualitative content analysis and
data mining techniques to analyze textual
data on social media.

10. Goal
To build a tool that:
Acquire social media data.
Integrate qualitative content analysis and
data mining techniques to analyze textual
data on social media.
Support asynchronous collaboration
among researchers.

11. Existing Tools
Social Media Analytics & Monitoring Tools
Focus on marketing
Do not usually incorporate human input

12. Existing Tools
Qualitative Analysis Tools
Expensive
Complicated to use
Do not acquire social media data

13. SWAB (Social Web Analytics Buddy)
3
Computation
Server
5
1
Social Media
Content
Web UI
API or
Web Crawler
2
Data Server
4
Web Server
Researchers

14. SWAB (Social Web Analytics Buddy)
3
Computation
Server
5
1
Social Media
Content
Web UI
API or
Web Crawler
2
Data Server
4
Web Server
Researchers

15. SWAB (Social Web Analytics Buddy)
Twitter search API
3
Computation
Server
5
1
Social Media
Content
Web UI
API or
Web Crawler
2
Data Server
4
Web Server
Researchers

16. SWAB (Social Web Analytics Buddy)
MySQL
3
Computation
Server
5
1
Social Media
Content
Web UI
API or
Web Crawler
2
Data Server
4
Web Server
Researchers

17. SWAB (Social Web Analytics Buddy)
MySQL
3
Computation
Server
5
1
Social Media
Content
Web UI
API or
Web Crawler
2
Data Server
4
Web Server
Researchers

18. SWAB (Social Web Analytics Buddy)
MySQL
3
Computation
Server
5
1
Social Media
Content
Web UI
API or
Web Crawler
2
Data Server
4
Web Server
Researchers

19. SWAB (Social Web Analytics Buddy)
MySQL
Classification &
Detection Modeling
Inter-rater Agreement
Computation
3
Computation
Server
5
1
Social Media
Content
Web UI
API or
Web Crawler
2
Data Server
4
Web Server
Researchers

20. SWAB (Social Web Analytics Buddy)
MySQL
3
Computation
Server
5
1
Social Media
Content
Web UI
API or
Web Crawler
2
Data Server
4
Web Server
Researchers

21. SWAB (Social Web Analytics Buddy)
MySQL
3
Computation
Server
Sample tweets for
researchers to analyze
1 Send results
API or
5
Web UI
back to
Web Crawler
data server
Communicate with
Social Media
2 Data
computation server Server
Content
4
Web Server
Researchers

22. SWAB (Social Web Analytics Buddy)
MySQL
3
Computation
Server
5
1
Social Media
Content
Web UI
API or
Web Crawler
2
Data Server
4
Web Server
Researchers

23. Web UI Design
Sketch

24. Web UI Design
Wireframes: the “Overview” tab
Project title

25. Web UI Design
Wireframes: the “Overview” tab
User account

26. Web UI Design
Wireframes: the “Overview” tab
Collaborator
List

27. Web UI Design
Wireframes: the “Overview” tab
Datasource

28. Web UI Design
Wireframes: the “Overview” tab
Multiple datasets
streamed using
different criteria.

29. Web UI Design
Wireframes: the “Overview” tab
Export data and
graphs.

30. Web UI Design
Wireframes: the “Overview” tab
Multiple visualizations and charts to
provide data overview.

31. Web UI Design
Wireframes: the “Analyze” tab
Themes emerged from exploring the data.

32. Web UI Design
Wireframes: the “Analyze” tab
Choose Sample size.

33. Web UI Design
Wireframes: the “Analyze” tab
Analyze tweets and write
comment.

34. Web UI Design
Wireframes: the “Result” tab
All researchers’ results are aggregated in the
background.
Collaboration happens asynchronously.
Reliability measures are computed.

35. Web UI Design
Wireframes: the “Result” tab
Classification models can be trained based on
the qualitative input.

36. Web UI Design
Wireframes: the “Model Application” tab
Apply the trained model to a new dataset
to detect similar data as in dataset1 from
dataset2.

37. Web UI Design
Wireframes: the “Model Application” tab
Choose how to explore the detected
data from the new dataset: view list of
tweets, user accounts, or geomap.

38. Simple Working Prototype of
“Analyze” Tab Feature
!
Demo

39. Future Work

40. Future Work
Design features to better support data
exploration.

41. Future Work
Design features to better support data
exploration.
Explore NoSQL database to handle large
datasets.

42. Future Work
Design features to better support data
exploration.
Explore NoSQL database to handle large
datasets.
Implement more sophisticated data mining and
visualization features.

43. Q &A
Thank you!