Detecting Polarized Topics in COVID-19 News Using Partisanship-aware Contextualized Topic Embeddings. He, Z., Mokhberian, N., Câmara, A., Abeliuk, A., & Lerman, K. CoRR, 2021.
Detecting Polarized Topics in COVID-19 News Using Partisanship-aware Contextualized Topic Embeddings [link]Paper  bibtex   
@article{DBLP:journals/corr/abs-2104-07814,
  author       = {Zihao He and
                  Negar Mokhberian and
                  Ant{\'{o}}nio C{\^{a}}mara and
                  Andr{\'{e}}s Abeliuk and
                  Kristina Lerman},
  title        = {Detecting Polarized Topics in {COVID-19} News Using Partisanship-aware
                  Contextualized Topic Embeddings},
  journal      = {CoRR},
  volume       = {abs/2104.07814},
  year         = {2021},
  url          = {https://arxiv.org/abs/2104.07814},
  eprinttype    = {arXiv},
  eprint       = {2104.07814},
  timestamp    = {Mon, 15 Nov 2021 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2104-07814.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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