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20212026
most citedReason Against the Machine: Future Directions for Mass Online Deliberation

30 citations · 58 across the 22 of their papers we have counts for

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Showing 2024Show all

7 papers · 1 filter

cs.AI2024★ 1 cited

Navigating Trade-offs: Policy Summarization for Multi-Objective Reinforcement Learning

Zuzanna Osika, Jazmin Zatarain-Salazar, Frans A. Oliehoek +1

Multi-objective reinforcement learning (MORL) is used to solve problems involving multiple objectives. An MORL agent must make decisions based on the diverse signals provided by di…

cs.CL2024★ 1 cited

Annotator-Centric Active Learning for Subjective NLP Tasks

Michiel van der Meer, Neele Falk, Pradeep K. Murukannaiah +1

Active Learning (AL) addresses the high costs of collecting human annotations by strategically annotating the most informative samples. However, for subjective NLP tasks, incorpora…

cs.AI2024★ 7 cited

A Hybrid Intelligence Method for Argument Mining

Michiel van der Meer, Enrico Liscio, Catholijn M. Jonker +3

Large-scale survey tools enable the collection of citizen feedback in opinion corpora. Extracting the key arguments from a large and noisy set of opinions helps in understanding th…

cs.CL2024★ 1 cited

An Empirical Analysis of Diversity in Argument Summarization

Michiel van der Meer, Piek Vossen, Catholijn M. Jonker +1

Presenting high-level arguments is a crucial task for fostering participation in online societal discussions. Current argument summarization approaches miss an important facet of t…

cs.AI2024★ 3 cited

Value Preferences Estimation and Disambiguation in Hybrid Participatory Systems

Enrico Liscio, Luciano C. Siebert, Catholijn M. Jonker +1

Understanding citizens' values in participatory systems is crucial for citizen-centric policy-making. We envision a hybrid participatory system where participants make choices and…

cs.CL2024

Morality is Non-Binary: Building a Pluralist Moral Sentence Embedding Space using Contrastive Learning

Jeongwoo Park, Enrico Liscio, Pradeep K. Murukannaiah

Recent advances in NLP show that language models retain a discernible level of knowledge in deontological ethics and moral norms. However, existing works often treat morality as bi…

cs.CY2024★ 2 cited

Enabling the Digital Democratic Revival: A Research Program for Digital Democracy

Davide Grossi, Ulrike Hahn, Michael Mäs +26

This white paper outlines a long-term scientific vision for the development of digital-democracy technology. We contend that if digital democracy is to meet the ambition of enablin…