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HotComment benchmark evaluates online comment popularity using multimodal data

Researchers have introduced HotComment, a new benchmark designed to evaluate the popularity of online comments by considering content quality, prediction based on real-world data, and user behavior simulation. The benchmark integrates both video and text modalities to provide a comprehensive assessment. Additionally, a new method called StyleCmt is proposed, which aims to amplify socially resonant expressions by aligning stylistic dimensions. AI

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IMPACT Introduces a new benchmark for evaluating comment popularity, potentially improving social media analysis tools.

RANK_REASON This is a research paper introducing a new benchmark and method for evaluating online comments.

Read on arXiv cs.AI →

COVERAGE [1]

  1. arXiv cs.AI TIER_1 · Zikai Song ·

    HotComment: A Benchmark for Evaluating Popularity of Online Comments

    Online comments play a crucial role in shaping public sentiment and opinion dynamics on social media. However, evaluating their popularity remains challenging, not only because it depends on linguistic quality, originality, and emotional resonance, but also because stylistic pref…