Papers by Claire Seungeun Lee

    1 papers
    Predicting Anti-Asian Hateful Users on Twitter during COVID-19 (2021.findings-emnlp)

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    Challenge: Xenophobia and polarization have accompanied widespread social media usage in many nations, attracting many researchers.
    Approach: They apply natural language processing techniques to characterize Twitter users who began to post anti-Asian hate messages during COVID-19.
    Outcome: The results show that it is possible to predict who later posted anti-Asian slurs on Twitter and Reddit.

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