IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0195644.html
   My bibliography  Save this article

Divergent discourse between protests and counter-protests: #BlackLivesMatter and #AllLivesMatter

Author

Listed:
  • Ryan J Gallagher
  • Andrew J Reagan
  • Christopher M Danforth
  • Peter Sheridan Dodds

Abstract

Since the shooting of Black teenager Michael Brown by White police officer Darren Wilson in Ferguson, Missouri, the protest hashtag #BlackLivesMatter has amplified critiques of extrajudicial killings of Black Americans. In response to #BlackLivesMatter, other Twitter users have adopted #AllLivesMatter, a counter-protest hashtag whose content argues that equal attention should be given to all lives regardless of race. Through a multi-level analysis of over 860,000 tweets, we study how these protests and counter-protests diverge by quantifying aspects of their discourse. We find that #AllLivesMatter facilitates opposition between #BlackLivesMatter and hashtags such as #PoliceLivesMatter and #BlueLivesMatter in such a way that historically echoes the tension between Black protesters and law enforcement. In addition, we show that a significant portion of #AllLivesMatter use stems from hijacking by #BlackLivesMatter advocates. Beyond simply injecting #AllLivesMatter with #BlackLivesMatter content, these hijackers use the hashtag to directly confront the counter-protest notion of “All lives matter.” Our findings suggest that Black Lives Matter movement was able to grow, exhibit diverse conversations, and avoid derailment on social media by making discussion of counter-protest opinions a central topic of #AllLivesMatter, rather than the movement itself.

Suggested Citation

  • Ryan J Gallagher & Andrew J Reagan & Christopher M Danforth & Peter Sheridan Dodds, 2018. "Divergent discourse between protests and counter-protests: #BlackLivesMatter and #AllLivesMatter," PLOS ONE, Public Library of Science, vol. 13(4), pages 1-23, April.
  • Handle: RePEc:plo:pone00:0195644
    DOI: 10.1371/journal.pone.0195644
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0195644
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0195644&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0195644?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jake Lever & Rossella Arcucci, 2022. "Sentimental wildfire: a social-physics machine learning model for wildfire nowcasting," Journal of Computational Social Science, Springer, vol. 5(2), pages 1427-1465, November.
    2. Peter Grajzl & Peter Murrell, 2021. "Characterizing a legal–intellectual culture: Bacon, Coke, and seventeenth-century England," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 15(1), pages 43-88, January.
    3. Colin Klein & Ritsaart Reimann & Ignacio Ojea Quintana & Marc Cheong & Marinus Ferreira & Mark Alfano, 2022. "Attention and counter-framing in the Black Lives Matter movement on Twitter," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-12, December.
    4. Pedro Ramaciotti Morales & Jean-Philippe Cointet & Caterina Froio, 2022. "Posters and protesters," Journal of Computational Social Science, Springer, vol. 5(2), pages 1129-1157, November.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0195644. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.