- From: W3C Community Development Team <team-community-process@w3.org>
- Date: Mon, 4 Jul 2016 09:00:29 +0000
- To: public-collaboration@w3.org
Advancements to machine learning and artificial intelligence technologies, advancements to argumentation and collaboration technologies, can support large-scale deliberative and epistemic democratic processes and can provide the public with a number of large-scale and transparent decision support systems. Machine learning and artificial intelligence topics include: 1. Detecting the emergence of topics and occurrences of agenda building and agenda setting; processing news stories and social media data; during election seasons, processing every ballot nationwide 2. Modeling the processes of individuals and groups of becoming better-informed about topics, processes during which the comprehension of information results in more questions and web searches and during which certain content is relevant; modeling individual and group decision-making processes to predict questions or web searches that subsets of populations might have 3. Informing search engines and journalism organizations, produced and retrieved content then more relevant to audiences, increasing click-through; informing data.gov and government transparency advocates where predicted public processes or processes of journalism requires government data 4. Making transparent such analyses of topics and processes, providing data, visualizations and models; assembling such data for uses in science and education 5. Modeling and explaining public opinion and opinion dynamics; correlations, models, explanations and logical equivalencies, entailments or other relationships amongst questions from opinion polls can contribute to securing sets of opinion polls 6. Inspecting sequences of questions from opinion polls and from sequences of opinion polls for various questionnaire construction issues 7. Generating questions or sequences of questions, including to discover or to improve models which explain distributions of opinions or correlations amongst related questions from previous opinion polls, understanding that public opinion is dynamic 8. Processing text-based responses to questions including open-ended questions, follow-up questions and questions regarding rationale or reasoning; utilizing natural language based data in ways interoperable with modeling which explains public opinion dynamics 9. Determining when or how often to poll the public on specific topics including in response to political speeches, social media dynamics or news stories 10. Providing the public with resources for the visualization of news trends, public opinion models and dynamics, social media dynamics, search trends and search sequences or processes 11. Measuring the influence of public opinion data on the processes of public opinion, including models or explanations of public opinion, data which include follow-up questions or sequences of questions, or data which include text-based rationales and reasoning; mitigating the adverse effects and biases of public opinion data on public opinion processes 12. Coordinating varieties of questions or opinion polls at scales, national, state and local 13. Using opinion polls to discover opportunities for industry and service 14. Uses of mixed-initiative spoken dialog systems and computer-generated question sequences and dialog, including in mobile computing scenarios, in opinion polling, web search, news search and other processes through which citizens become better-informed Related Articles E-Participation, Decision Support Systems, Multi-document Natural Language Processing and Cognitive Bias Mitigation Natural Language Technology and Public Opinion Polling Hyperlinks https://en.wikipedia.org/wiki/Epistemic_democracy https://en.wikipedia.org/wiki/Deliberative_democracy https://en.wikipedia.org/wiki/Argumentation_theory https://en.wikipedia.org/wiki/Collaborative_software https://en.wikipedia.org/wiki/Group_decision-making https://en.wikipedia.org/wiki/Decision_support_system https://en.wikipedia.org/wiki/Questionnaire_construction https://en.wikipedia.org/wiki/Questionnaire_construction#Questionnaire_construction_issues https://en.wikipedia.org/wiki/Online_deliberation https://en.wikipedia.org/wiki/Deliberative_opinion_poll https://en.wikipedia.org/wiki/Spoken_dialog_systems ---------- This post sent on Collaborative Software Community Group 'Machine Learning, Artificial Intelligence and Decision Support for Large-scale Deliberative and Epistemic Democratic Processes' https://www.w3.org/community/collaboration/2016/07/04/machine-learning-artificial-intelligence-and-decision-support-for-large-scale-deliberative-and-epistemic-democratic-processes/ Learn more about the Collaborative Software Community Group: https://www.w3.org/community/collaboration
Received on Monday, 4 July 2016 09:00:31 UTC