IDEAS home Printed from https://ideas.repec.org/p/osf/socarx/chvgp.html
   My bibliography  Save this paper

Power, Hate Speech, Machine Learning, and Intersectional Approach

Author

Listed:
  • Kim, Jae Yeon

    (University of California, Berkeley)

Abstract

The advent of social media has increased digital content and, with it, hate speech. Advancements in machine learning algorithms help detect online hate speech at scale; nevertheless, these systems are far from perfect. Human-annotated hate speech data, used to train automated hate speech detection systems, is susceptible to racial/ethnic, gender, and other bias. To address societal and historical biases in automated hate speech detection, scholars and practitioners need to focus on the power dynamics: who decides what comprises hate speech. Examining inter- and intra-group dynamics can facilitate understanding of this causal mechanism. This intersectional approach deepens knowledge of the limitations of automated hate speech detection systems and bridges social science and machine learning literature on biases and fairness.

Suggested Citation

  • Kim, Jae Yeon, 2021. "Power, Hate Speech, Machine Learning, and Intersectional Approach," SocArXiv chvgp, Center for Open Science.
    • Handle: RePEc:osf:socarx:chvgp
    DOI: 10.31219/osf.io/chvgp
    as

    Download full text from publisher

    File URL: https://osf.io/download/6070fcf951f7ae03dbf578ff/
    Download Restriction: no
    File URL: https://libkey.io/10.31219/osf.io/chvgp?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
    ---><---

    References listed on IDEAS

    as
    1. repec:nas:journl:v:115:y:2018:p:e3635-e3644 is not listed on IDEAS
    2. Kirsten Martin, 2019. "Ethical Implications and Accountability of Algorithms," Journal of Business Ethics, Springer, vol. 160(4), pages 835-850, December.
    3. Marianne Bertrand & Sendhil Mullainathan, 2004. "Are Emily and Greg More Employable Than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination," American Economic Review, American Economic Association, vol. 94(4), pages 991-1013, September.
    4. D. James Greiner & Donald B. Rubin, 2011. "Causal Effects of Perceived Immutable Characteristics," The Review of Economics and Statistics, MIT Press, vol. 93(3), pages 775-785, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chowdhury, Shyamal & Ooi, Evarn & Slonim, Robert, 2017. "Racial discrimination and white first name adoption: a field experiment in the Australian labour market," Working Papers 2017-15, University of Sydney, School of Economics.
    2. Maude Lavanchy & Patrick Reichert & Jayanth Narayanan & Krishna Savani, 2023. "Applicants’ Fairness Perceptions of Algorithm-Driven Hiring Procedures," Journal of Business Ethics, Springer, vol. 188(1), pages 125-150, November.
    3. Peter Hull & Michal Kolesár & Christopher Walters, 2022. "Labor by design: contributions of David Card, Joshua Angrist, and Guido Imbens," Scandinavian Journal of Economics, Wiley Blackwell, vol. 124(3), pages 603-645, July.
    4. Martin Huber, 2015. "Causal Pitfalls in the Decomposition of Wage Gaps," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(2), pages 179-191, April.
    5. Niyi Ogunbiyi & Artie Basukoski & Thierry Chaussalet, 2021. "An Exploration of Ethical Decision Making with Intelligence Augmentation," Social Sciences, MDPI, vol. 10(2), pages 1-14, February.
    6. Mujcic, Redzo & Frijters, Paul, 2013. "Still Not Allowed on the Bus: It Matters If You're Black or White!," IZA Discussion Papers 7300, Institute of Labor Economics (IZA).
    7. Anthony Edo & Nicolas Jacquemet & Constantine Yannelis, 2019. "Language skills and homophilous hiring discrimination: Evidence from gender and racially differentiated applications," Review of Economics of the Household, Springer, vol. 17(1), pages 349-376, March.
    8. Kevin Lang & Ariella Kahn-Lang Spitzer, 2020. "Race Discrimination: An Economic Perspective," Journal of Economic Perspectives, American Economic Association, vol. 34(2), pages 68-89, Spring.
    9. Keith Head & Thierry Mayer, 2008. "Detection Of Local Interactions From The Spatial Pattern Of Names In France," Journal of Regional Science, Wiley Blackwell, vol. 48(1), pages 67-95, February.
    10. David H Chae & Sean Clouston & Mark L Hatzenbuehler & Michael R Kramer & Hannah L F Cooper & Sacoby M Wilson & Seth I Stephens-Davidowitz & Robert S Gold & Bruce G Link, 2015. "Association between an Internet-Based Measure of Area Racism and Black Mortality," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-12, April.
    11. Elizabeth Hirsh & Hazel Hollingdale & Natasha Stecy-Hildebrandt, 2013. "Gender inequality in the workplace," Chapters, in: Deborah M. Figart & Tonia L. Warnecke (ed.), Handbook of Research on Gender and Economic Life, chapter 12, pages 183-199, Edward Elgar Publishing.
    12. Saugato Datta & Vikram Pathania, 2016. "For whom does the phone (not) ring? Discrimination in the rental housing market in Delhi, India," WIDER Working Paper Series 055, World Institute for Development Economic Research (UNU-WIDER).
    13. Kelley Sarussi & Thomas Walstrum, 2019. "Education and the Evolution of Earnings Across Population Groups Since 2000," Profitwise, Federal Reserve Bank of Chicago, issue 5, pages 1-13.
    14. Ritwik Banerjee & Nabanita Datta Gupta, 2015. "Awareness Programs and Change in Taste-Based Caste Prejudice," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-17, April.
    15. Bertrand, Jérémie & Burietz, Aurore, 2023. "(Loan) price and (loan officer) prejudice," Journal of Economic Behavior & Organization, Elsevier, vol. 210(C), pages 26-42.
    16. Jan Hanousek & Štěpán Jurajda, 2018. "Názvy společností a jejich vliv na výkonnost firem [Corporate Names and Performance]," Politická ekonomie, Prague University of Economics and Business, vol. 2018(6), pages 671-688.
    17. Bryson, Alex & Chevalier, Arnaud, 2015. "Is there a taste for racial discrimination amongst employers?," Labour Economics, Elsevier, vol. 34(C), pages 51-63.
    18. Bethany Everett & David Rehkopf & Richard Rogers, 2013. "The Nonlinear Relationship Between Education and Mortality: An Examination of Cohort, Race/Ethnic, and Gender Differences," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 32(6), pages 893-917, December.
    19. Ola Bengtsson & John R. M. Hand, 2013. "Employee Compensation in Entrepreneurial Companies," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 22(2), pages 312-340, June.
    20. John M. Nunley & Adam Pugh & Nicholas Romero & Richard Alan Seals, Jr., 2014. "Unemployment, Underemployment, and Employment Opportunities: Results from a Correspondence Audit of the Labor Market for College Graduates," Auburn Economics Working Paper Series auwp2014-04, Department of Economics, Auburn University.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:osf:socarx:chvgp. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: OSF (email available below). General contact details of provider: https://arabixiv.org .

    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.