WORKSHOP / Archiving the Algorithm

We have designed and delivered a series of workshops to students at the University of Cambridge and to festival goers at Good Vibrations Society. These workshops used critical, creative, and participatory action methodologies to encourage participants to reflect on their algorithmic experiences. In our workshop ‘Archiving the Algorithm’ we encourage participants to personify and problematize their personalised social media algorithms, whilst our workshop 'Algorithmic Armour’ encouraged audiences to consider their own agency and creativity when engaging with algorithms in their everyday lives.

We are always keen to run more workshops with groups of social media algorithmic users, in any context. The content and design of the sessions is an equal collaboration between an academic and an artist. We have co-conceived of and co-designed the project from its inception and have found real value in the combination of academic knowledge and question posing, when combined with creative design, playful interpretation, and expressive presentation processes. Participants have described positive effects of engaging with the workshops and expressed a desire to be involved in the project as it moves forward.

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WORKSHOP PLAN

Setting Up: Arrange chairs in a circle for participants.

Introduction (5 mins)

Brief intro to the workshop and project's aim to explore algorithmic interactions in daily life.

Contextual Discussion (10 mins)

Discusses varying perceptions of algorithms and introduces the workshop's four-stage process.

Activity 1: Engaging with Algorithms

  • Phones Out (5 min): Participants watch algorithm-generated content on their smartphones.
  • Personal Story Sharing (5 mins): Share observations and personifications of their algorithms.
  • Group Feedback (5 mins): Encourage sharing and feedback on observed algorithmic behaviors.
  • Activity 2: Making Sense of Algorithmic Realities

  • Intro (5 mins): Covers relevant academic theories and their limitations.
  • Letter Writing (10 mins): Participants write letters to their algorithms, guided by specific prompts.
  • Say Out Loud (5 mins): Volunteers act out a user-algorithm relationship based on the letter, utilizing family constellation therapy principles.
  • Discussion on Personification (5 mins): Debate the ethics and effects of personifying algorithms.
  • Workshop Reflection (5 mins)

    Reflect on the workshop experience, changes in perception of algorithms, and future interaction strategies.

    Extra Activity (Optional)

    Role-play as algorithms responding to users, enhancing understanding through creative engagement.

    Post Workshop Supplied Bibliography

    1. Isabelle Higgins paper https://journals.sagepub.com/doi/abs/10.1177/14614448231156852
    2. Data & Society: The Social Life of Algorithmic Harms https://points.datasociety.net/the-social-life-of-algorithmic-harms-d5549603e99?gi=d1982faf77c0
    3. Centre for Critical Race & Digital Studies: Targeted Ads, The Infrastructure for Algorithmic Discrimination https://www.criticalracedigitalstudies.com/targeted-ads
    4. Sophie Bishop & Tanya Kant: paper on ‘Algorithmic autobiographies & fictions: A digital method’ https://journals.sagepub.com/doi/full/10.1177/00380261221146403
    5. Dr Faithe J Day: ‘Make the Algorithm, Don’t Let it Make You’ (blogpost on algorithmic strategy) https://faitheday.medium.com/make-the-algorithm-dont-let-it-make-you-8ecee97cf613
    6. Banet-Weiser, S. and Glatt, Z. (2023). ‘"Stop Treating BLM like Coachella": The Branding of Intersectionality' in Nash, J and Pinto, S. (eds.) The Routledge Companion to Intersectionalities. New York, USA
    7. Boom, K. 2019. But Some of Us Are Tired: Black Women’s ‘Personal Feminist Essays’ in the Digital Sphere. In Emejulu A. & Sobande F. (Eds.), To Exist is to Resist: Black Feminism in Europe (pp. 245-258). London: Pluto Press
    8. Frosh P (2018). The mouse, the screen and the Holocaust witness: interface aesthetics and moral response. New Media & Society 20(1): 351–368.
    9. Ging, Debbie, and Eugenia Siapera, eds. 2019. Gender Hate Online: Understanding the New Anti-Feminism. Cham: Springer International Publishing,
    10. Tifentale, A., Manovich, L. (2015). Selfiecity: Exploring Photography and Self-Fashioning in Social Media. In: Berry, D.M., Dieter, M. (eds) Postdigital Aesthetics. Palgrave Macmillan, London.
    11. Morgan Klaus Scheuerman, Kandrea Wade, Caitlin Lustig, and Jed R. Brubaker. 2020. How We’ve Taught Algorithms to See Identity: Constructing Race and Gender in Image Databases for Facial Analysis. https://doi.org/10.1145/3392866
    12. Cave, Stephen & Dihal, Kanta., 2020. ‘The Whiteness of AI.’ Philos. Technol. https://doi.org/10.1007/s13347-020-00415-6
    13. Yoon, I., 2016. Why is it not Just a Joke? Analysis of Internet Memes Associated with Racism and Hidden Ideology of Colorblindness. Journal in Cultural Research in Art Education 33, 92–123.
    14. Cotter, Kelley. ‘Playing the Visibility Game: How Digital Influencers and Algorithms Negotiate Influence on Instagram’. New Media & Society 21, no. 4 (April 2019): 895–913. https://doi.org/10.1177/1461444818815684.
    15. Hallinan, Blake, and Ted Striphas. ‘Recommended for You: The Netflix Prize and the Production of Algorithmic Culture’. New Media & Society 18, no. 1 (January 2016): 117–37.