Facilitating Opinion Diversity through Hybrid NLP Approaches

• URL: http://arxiv.org/abs/2405.09439v1
• Date: Wed, 15 May 2024 15:30:17 GMT
• Title: Facilitating Opinion Diversity through Hybrid NLP Approaches
• Authors: Michiel van der Meer,
• Abstract summary: This thesis proposal identifies the challenges involved in facilitating large-scale online discussions with Natural Language Processing (NLP) We propose a three-layered hierarchy for representing perspectives that can be obtained by a mixture of human intelligence and large language models. We illustrate how these representations can draw insights into the diversity of perspectives and allow us to investigate interactions in online discussions.
• Score: 0.18918331915892175
• License: http://creativecommons.org/licenses/by-sa/4.0/
• Abstract: Modern democracies face a critical issue of declining citizen participation in decision-making. Online discussion forums are an important avenue for enhancing citizen participation. This thesis proposal 1) identifies the challenges involved in facilitating large-scale online discussions with Natural Language Processing (NLP), 2) suggests solutions to these challenges by incorporating hybrid human-AI technologies, and 3) investigates what these technologies can reveal about individual perspectives in online discussions. We propose a three-layered hierarchy for representing perspectives that can be obtained by a mixture of human intelligence and large language models. We illustrate how these representations can draw insights into the diversity of perspectives and allow us to investigate interactions in online discussions.

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