Innovating Good Regulatory Practice using Mixed-Initiative Social Media Analytics and Visualization

被引:2
|
作者
Lemieux, Victoria L. [1 ]
机构
[1] Univ British Columbia, Vancouver, BC, Canada
关键词
Information Visualization; Visual Analytics; Social Media Analytics; Good Regulatory Practice; SCIENCE;
D O I
10.1109/CeDEM.2016.38
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Greater availability of data - so called big data - presents new opportunities to apply innovative analytic approaches and new technologies to better understand development strategies and outcomes in relation to Good Regulatory Practice. This paper discusses the opportunity to train and use more data-driven approaches facilitated by visualization, interactivity and data science methods to innovate rule making and the way governments engage in dialogue with citizens on regulatory reforms. The paper focuses on two areas in particular - 1) regulatory impact assessment (RIA) and 2) information processing support in notice and comment on rulemaking - with particular reference to how the application of a novel big data analytics framework, Mixed-Initiative Social Media Analytics (MISMA), can be used to address these two rulemaking challenges.
引用
收藏
页码:207 / 212
页数:6
相关论文
共 50 条
  • [41] Mixed-Initiative Mission Planning using Planning Strategy Models in Military Manned-Unmanned Teaming Missions
    Schmitt, Fabian
    Schulte, Axel
    2015 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2015): BIG DATA ANALYTICS FOR HUMAN-CENTRIC SYSTEMS, 2015, : 1391 - 1396
  • [42] Visualizing theme park visitors' emotions using social media analytics and geospatial analytics
    Park, Seunghyun Brian
    Kim, Jinwon
    Lee, Yong Kyu
    Ok, Chihyung Michael
    TOURISM MANAGEMENT, 2020, 80
  • [43] Social Media Analytics as a Business Intelligence Practice: Current Landscape & Future Prospects
    Ruhi, Umar
    CREATING GLOBAL COMPETITIVE ECONOMIES: 2020 VISION PLANNING & IMPLEMENTATION, VOLS 1-3, 2013, : 213 - 224
  • [44] Recommending Venues Using Continuous Predictive Social Media Analytics
    Balduini, Marco
    Bozzon, Alessandro
    Della Valle, Emanuele
    Huang, Yi
    Houben, Geert-Jan
    IEEE INTERNET COMPUTING, 2014, 18 (05) : 28 - 35
  • [45] Analyzing Patient Stories on Social Media Using Text Analytics
    Moutasem A. Zakkar
    Daniel J. Lizotte
    Journal of Healthcare Informatics Research, 2021, 5 : 382 - 400
  • [46] Analyzing Patient Stories on Social Media Using Text Analytics
    Zakkar, Moutasem A.
    Lizotte, Daniel J.
    JOURNAL OF HEALTHCARE INFORMATICS RESEARCH, 2021, 5 (04) : 382 - 400
  • [47] A SURVEY ON BIG DATA ANALYTICS USING SOCIAL MEDIA DATA
    Paul, P. Victer
    Monica, K.
    Trishanka, M.
    2017 INNOVATIONS IN POWER AND ADVANCED COMPUTING TECHNOLOGIES (I-PACT), 2017,
  • [48] A framework for social media data analytics using Elasticsearch and Kibana
    Neel Shah
    Darryl Willick
    Vijay Mago
    Wireless Networks, 2022, 28 : 1179 - 1187
  • [49] Identifying Potential Customer Using Graph Social Media Analytics
    Anuar, Siti Nur Aisyah
    Muhammad, Noryanti
    Firdaus, Mohd Izhar
    INTELLIGENT COMPUTING, VOL 3, 2024, 2024, 1018 : 92 - 103
  • [50] A framework for social media data analytics using Elasticsearch and Kibana
    Shah, Neel
    Willick, Darryl
    Mago, Vijay
    WIRELESS NETWORKS, 2022, 28 (03) : 1179 - 1187