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Empathy in computational linguistics has a rich literature in mental health support, disability support, and online toxicity. With the advent of large language models (LLMs), empathy in LLM responses has received considerable research attention. Since the outbreak of COVID-19, there has been a renewed interest among economists in empathy. In this paper, we meld expertise from natural language processing and econometrics to answer an intriguing research question: Is empathy, between the residents of neighboring nations, associated with distance? Via a unique dataset of geo-tagged tweets collected during India’s healthcare collapse in the face of the second wave of COVID-19, we study empathy in tweets from Pakistan. Our analyses reveal a significant positive association between empathy and distance of the geo-tagged tweets’ locations from the India-Pakistan border.

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Empathy Between Neighboring Nations: Distance Matters

  • 会议论文

  • 发表日期：

    2026年

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  • Avik Chakrabarti,
  • Clay H. Yoo,
  • Ashiqur R. KhudaBukhsh

摘要

Empathy in computational linguistics has a rich literature in mental health support, disability support, and online toxicity. With the advent of large language models (LLMs), empathy in LLM responses has received considerable research attention. Since the outbreak of COVID-19, there has been a renewed interest among economists in empathy. In this paper, we meld expertise from natural language processing and econometrics to answer an intriguing research question: Is empathy, between the residents of neighboring nations, associated with distance? Via a unique dataset of geo-tagged tweets collected during India’s healthcare collapse in the face of the second wave of COVID-19, we study empathy in tweets from Pakistan. Our analyses reveal a significant positive association between empathy and distance of the geo-tagged tweets’ locations from the India-Pakistan border.