Victoria L. Lemieux presented on using mixed-initiative social media analytics and visualization to innovate regulatory practices. The methodology uses sentiment analysis and visual analytics tools to explore historical Twitter data and measure public trust in regulatory processes. It aims to provide regulatory agencies support in notice-and-comment rulemaking by analyzing social media sentiment and discussion. The presentation highlighted the mixed-initiative social media analytics methodology and visualization tool developed, potential applications in regulatory impact assessment and rulemaking, and lessons learned from the project.

1. Innovating
Good Regulatory Practice
using
Mixed-Initiative Social Media
Analytics and Visualization
Victoria L. Lemieux
CeDEM ’16
May 19, 2016
Krems, Austria

2. Background
• World Bank Big Data
Innovation Challenge
2015
Challenge
• Use Big Data Analytics
to innovate rule making
and the way
governments engage in
dialogue with citizens
on regulatory reforms.

3. 3
Innovation
MIXED INITIATIVE SOCIAL MEDIA ANALYTICS (MISMA)
METHODOLOGY AND VISUAL ANALYTICS TOOL
Analytic
Methodology
Interactive Visual
Interface

4. 9. Analysis of competing hypotheses (ACH)
8. Pair analysis
7. Development and use of VA tool to explore historical Twitter collections
6. Sentiment classification of harvested tweets
5. Use of search terms to harvest historical twitter data
4. Visual analysis and Text analysis of “big picture”
3. Initial “big picture” harvest of Twitter data
2. Instrument choice = sentiment analysis (SentiStrength)
1. Using the sentiment expressed in the content of twitter data to measure “Trust”
4
OVERVIEW OF THE MISMA METHODOLOGY

5. Innovation
The MISMA Visual Analytics Tool

6. Regulatory Impact Assessment
Information Processing Support in
Notice and Commet Rulemaking
6
Rulemaking Application Areas
1.
2

7. Lessons Learned
Potential Partnership
Privacy
Sustainable
Innovation