@inproceedings{duseja-jhamtani-2019-sociolinguistic,
    title = "A Sociolinguistic Study of Online Echo Chambers on {T}witter",
    author = "Duseja, Nikita  and
      Jhamtani, Harsh",
    editor = "Volkova, Svitlana  and
      Jurgens, David  and
      Hovy, Dirk  and
      Bamman, David  and
      Tsur, Oren",
    booktitle = "Proceedings of the Third Workshop on Natural Language Processing and Computational Social Science",
    month = jun,
    year = "2019",
    address = "Minneapolis, Minnesota",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/W19-2109/",
    doi = "10.18653/v1/W19-2109",
    pages = "78--83",
    abstract = "Online social media platforms such as Facebook and Twitter are increasingly facing criticism for polarization of users. One particular aspect which has caught the attention of various critics is presence of users in echo chambers - a situation wherein users are exposed mostly to the opinions which are in sync with their own views. In this paper, we perform a sociolinguistic study by comparing the tweets of users in echo chambers with the tweets of users not in echo chambers with similar levels of polarity on a broad topic. Specifically, we carry out a comparative analysis of tweet structure, lexical choices, and focus issues, and provide possible explanations for the results."
}