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9 results for “alissonmasoares”

  1. New paper in on banning books in US found that: most of the banned books are from people of color, right-leaning counties that have become less conservative are more likely to ban, and interest in those books remains almost unchanged academic.oup.com/pnasnexus/art

  2. A new paper in PlosONE "January 6 arrests and media coverage do not remobilize conservatives on social media"

  3. Bias estimation in word embeddings using a Bayesian approach instead of WEAT or MAC. A new paper in Computational Linguistics.

  4. This new paper from Journal of brings the coordination network toolkit to detect coordinated behaviour on social media to study and astroturfing. Made in Python and SQL. link.springer.com/content/pdf/

  5. If you are dealing with Telegram exported chats/channels in R, maybe my new package soaresalisson.github.io/telegr can help you.
    Basically, It transforms the html into dataframe. By now, only available with devtools.

  6. Papers about Causal Inference and Language
    "A collection of papers and codebases about influence, causality, and language."

    github.com/causaltext/causal-t

  7. 80 scholars mapped what happens in in one day. They collected an impressive amount of 375 million tweets, that can help to answer questions like "how many active users does the platform have? What percentage of accounts on the site are bots? And, what are the dominating topics and sub-topical spheres on the platform?"
    arxiv.org/abs/2301.11429

  8. For those interested in political using , take a look at this article that surveys different computational ways to examine political polarization

    "A scoping review on the use of natural language processing in research on political polarization: trends and research prospects"
    link.springer.com/article/10.1