Papers by Iman Jundi

6 papers
Moderation in the Wild: Investigating User-Driven Moderation in Online Discussions (2024.eacl-long)

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Challenge: Effective content moderation is imperative for fostering healthy and productive discussions in online domains.
Approach: They propose to document and release a dataset of comments in which users act as moderators.
Outcome: The proposed dataset contains 1000 comment-reply pairs with crowdsourced annotations from a large annotator pool and fine-grained annotation schema targeting the functions of moderation, stylistic properties(aggressiveness, subjectivity, sentiment), constructiveness, and individual perspectives of the annotators on the task.
Node Placement in Argument Maps: Modeling Unidirectional Relations in High & Low-Resource Scenarios (2023.acl-long)

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Challenge: Argument maps structure discourse into nodes with each node being an argument that supports or opposes its parent argument.
Approach: They propose a task of node placement: suggesting candidate nodes as parents for a new contribution.
Outcome: The proposed method improves the quality of the argument maps and reduces redundancy.
It Is Not Only the Negative that Deserves Attention! Understanding, Generation & Evaluation of (Positive) Moderation (2025.naacl-long)

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Challenge: Moderation is essential for maintaining and improving the quality of online discussions.
Approach: They annotate a dataset on 13 modes of discussion and use it to generate positive moderation.
Outcome: The proposed model shows that professional moderation generates higher ratings than professional moderated moderation, but prefers professional moderate in pairwise comparison.
Towards Argument Mining for Social Good: A Survey (2021.acl-long)

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Challenge: Argument Mining is a social science-based approach to analysis and analysis of arguments.
Approach: They propose a novel definition of argument quality which integrates the social science literature and the argument quality.
Outcome: The proposed definition of argument quality integrates the social science literature and the argument quality debate.
PerspectiveMod: A Perspectivist Resource for Deliberative Moderation (2025.emnlp-main)

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Challenge: Human moderators in online discussions face a heterogeneous range of tasks that go beyond content moderation, or policing.
Approach: They propose a dataset of online comments annotated for the question "Does this comment require moderation?" they aim to improve discussion quality by analyzing annotator perspectives and annotating their views.
Outcome: The proposed model is unique in its intentional variation across the level of moderation experience embedded in the source data, the annotator profiles and the individuality of the annnotator.
How to Translate Your Samples and Choose Your Shots? Analyzing Translate-train & Few-shot Cross-lingual Transfer (2022.findings-naacl)

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Challenge: Recent studies have focused on zero-shot cross-lingual transfer of pretrained languages.
Approach: They propose to use few-shot cross-lingual transfer to improve zero-shot performance of multilingual pretrained language models.
Outcome: The proposed model can be scaled to high-quality samples and improves on zero-shot performance.

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