E-Participation, Decision Support Systems, Multi-document Natural Language Processing and Cognitive Bias Mitigation
Collaborative, productivity and e-participation software topics include those of decision support systems and cognitive bias mitigation, including mitigating cognitive biases and fallacies of individual or group reasoning pertaining to misinformation, disinformation, manipulation, spin, persuasion and framing effects.
Multi-document natural language processing topics include:
1. Performing fact-checking
2. Performing argument analysis
4. Performing sentiment analysis
8. Detecting the dynamics of the attention of individuals, groups and the public
9. Detecting cognitive biases resulting from simultaneous or proximate, parallel and sequential, discussions of topics and subtopics
10. Presenting the detected real-time information to individuals, groups and the public
Multi-document processing topics expand beyond those of natural language processing to those of multimedia processing, for instance processing the images in, photographs in and layouts of the e-participation documents, slide shows and presentations, generated, utilized and hyperlinked to by individuals and groups.
The topics pertain to the modeling of user contexts, to dialogue systems technology, to digital personal assistants, to digital group assistants, to intelligent tutoring systems and to contextual or task-based information search and retrieval technology.
The topics pertain to the planning of, the scheduling of and to the automated planning and scheduling of group tasks, activities and discussion topics. Real-time accurate information and reasoning processes empower individuals, team leaders, groups and communities.
With 19,354 cities in the United States of America and with city governments and journalism organizations in nearly each, there is a market for the services described (points 1 to 10). Such service providers could access city resources, including cloud-based, as well as third-party services, such as regional search trends, to inform each individual participant and group, ensuring the quality of e-participation venues, their real-time dashboards, their group discussions, their group reasoning and their democratic processes.
References (Point 1)
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References (Point 2)
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Boltuzic, Filip, and Jan Šnajder. “Identifying Prominent Arguments in Online Debates Using Semantic Textual Similarity.”
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References (Point 3)
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References (Point 4)
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References (Point 5)
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References (Point 6)
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References (Point 7)
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References (Point 8)
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References (Point 9)
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