Algorithms and Success on Upwork Platform

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Explore the world of algorithms and successful freelancing on the Upwork platform through the insights of industry experts. Learn how to navigate job success scores and effectively manage your contracts on Upwork for maximum efficiency.

  • Algorithms
  • Upwork
  • Freelancing
  • Success
  • Contracts

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  1. How How Upworkers Upworkers Make Sense of Algorithms Sense of Algorithms Make Will Sutherland

  2. Mohammad Jarrahi (University of North Carolina)

  3. Firstname Surname

  4. Documentation https://support.upwork.com/hc/en-us/articles/211068358-Job-Success-Score

  5. Documentation https://support.upwork.com/hc/en-us/articles/211068358-Job-Success-Score

  6. Documentation https://support.upwork.com/hc/en-us/articles/211068358-Job-Success-Score

  7. Input / Output

  8. Input / Output

  9. Trial and Error

  10. Trial and Error every time you spend over $5 on the platform you can basically close a contract and get a rating. (Freelancer 21)

  11. Using Surveillance I always when I get off the phone just rehash it on Upwork and say hey this is just a recap that we re doing half or $30 by Friday or something to make sure that that has been accounted for (Freelancer 11)

  12. Using Surveillance

  13. Using Surveillance If I type in my e-mail address a window will pop up and say taking the conversation out of Upwork? please keep safe and use Upwork for everything, and I say god, you sneaky bastards. (Freelancer 1)

  14. When does a freelancer understand Upwork s algorithms?

  15. Invoking Algorithms Algorithm as arbitrator Algorithm as mechanism of extortion Algorithm as security Algorithm as manager Algorithm as sneaky bastard Ziewitz, M. (2017). A not quite random walk: Experimenting with the ethnomethods of the algorithm. Big Data & Society, 4(2), 2053951717738105.

  16. Nick Seaver (2019) Knowing Algorithms. In Vertesi, J., & Ribes, D. (2019). DigitalSTS: A Field Guide for Science & Technology Studies (pg. 412 - 422). Princeton University Press. ? ? clients workers

  17. ? ? ? clients workers

  18. THE END

  19. Lee, F., Bier, J., Christensen, J., Engelmann, L., Helgesson, C. F., & Williams, R. (2019). Algorithms as folding: Reframing the analytical focus. Big Data & Society, 6(2), 2053951719863819. Lee, F., & Helgesson, C. F. (2019). Styles of Valuation: Algorithms and Agency in High-throughput Bioscience. Science, Technology, & Human Values, 0162243919866898. Nick Seaver (2019) Knowing Algorithms. In Vertesi, J., & Ribes, D. (2019). DigitalSTS: A Field Guide for Science & Technology Studies (pg. 412 - 422). Princeton University Press. Ziewitz, M. (2017). A not quite random walk: Experimenting with the ethnomethods of the algorithm. Big Data & Society, 4(2), 2053951717738105. Robot by Julian Roman from the Noun Project

  20. Ghazawneh, A., & Henfridsson, O. (2013). Balancing platform control and external contribution in third party development: the boundary resources model. Information systems journal, 23(2), 173-192.

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