mlsanityData to 14 Oct 2026

Facilitating Opinion Diversity through Hybrid NLP Approaches

arXiv 2405.09439 ↗First posted 15 May 2024cs.CL cs.AIcited by 2

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Abstract (arXiv)

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.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 45 of its 123 references that are in the map. First posted on arXiv 15 May 2024.

Builds on

45 of 123 references.

References · 45

  1. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,170
  2. 2020Shortcut Learning in Deep Neural Networkscited by 1,969
  3. 2022No Language Left Behind: Scaling Human-Centered Machine Translationcited by 1,312
  4. 2020The State and Fate of Linguistic Diversity and Inclusion in the NLP Worldcited by 798
  5. 2023Whose Opinions Do Language Models Reflect?cited by 773
  6. 2022Out of One, Many: Using Language Models to Simulate Human Samplescited by 752
  7. 2020Aligning AI With Shared Human Valuescited by 723
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  10. 2021Dynabench: Rethinking Benchmarking in NLPcited by 459
  11. 2023Towards Measuring the Representation of Subjective Global Opinions in Language Modelscited by 437
  12. 2023How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resourcescited by 408
33 more
  1. 2021Towards Understanding and Mitigating Social Biases in Language Modelscited by 296
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  7. 2021Toward a Perspectivist Turn in Ground Truthing for Predictive Computingcited by 130
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  11. 2021Hybrid Intelligencecited by 55
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  16. 2021Putting Humans in the Natural Language Processing Loop: A Surveycited by 40
  17. 2019Corpus Wide Argument Mining -- a Working Solutioncited by 36
  18. 2021Identifying Morality Frames in Political Tweets using Relational Learningcited by 26
  19. 2020Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network Approachcited by 20
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  21. 2024Annotator-Centric Active Learning for Subjective NLP Taskscited by 18
  22. 2023Interactive Concept Learning for Uncovering Latent Themes in Large Text Collectionscited by 15
  23. 2023Do Differences in Values Influence Disagreements in Online Discussions?cited by 15
  24. 2023Harnessing the Power of LLMs: Evaluating Human-AI Text Co-Creation through the Lens of News Headline Generationcited by 14
  25. 2021What Makes Online Communities 'Better'? Measuring Values, Consensus, and Conflict across Thousands of Subredditscited by 13
  26. 2021Reason Against the Machine: Future Directions for Mass Online Deliberationcited by 12
  27. 2022Discord Questions: A Computational Approach To Diversity Analysis in News Coveragecited by 11
  28. 2021Slipping to the Extreme: A Mixed Method to Explain How Extreme Opinions Infiltrate Online Discussionscited by 10
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Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 1.

2 papers.

  1. 2025HintsOfTruth: A Multimodal Checkworthiness Detection Dataset with Real and Synthetic Claimscited by 4
  2. 2026Structuring the Space of Perspectivescited by 1