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Workshop tackles online misinformation with LLMs and credible IR

By PulseAugur Editorial · [1 sources] ·

The 6th Workshop on Reducing Online Misinformation through Credible Information Retrieval (ROMCIR 2026) aims to address the growing problem of information pollution, including fake news, deceptive reviews, and unverified medical advice. The workshop will explore strategies beyond conventional detection methods, focusing on integrating credibility and truthfulness into information retrieval systems. A key area of discussion will be the role of large language models (LLMs) in both potentially amplifying misinformation and aiding in its detection and explanation within these systems, alongside the human-in-the-loop paradigm. AI

IMPACT Focuses on leveraging LLMs and human-in-the-loop approaches to combat misinformation within information retrieval systems.

RANK_REASON The item is a research paper detailing a workshop's scope and objectives. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.IR (Information Retrieval) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Workshop tackles online misinformation with LLMs and credible IR

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The item is a research paper detailing a workshop's scope and objectives. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Marco Viviani ·

    Overview of ROMCIR 2026: The 6th Workshop on Reducing Online Misinformation through Credible Information Retrieval

    In the digital online ecosystem, we are surrounded by distinct forms of information pollution, posing significant threats to both individuals and society. Fake news, for instance, wields power to sway public opinion on matters of politics and finance. Deceptive reviews can either…

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