Summer Milestone 9 Evaluations of reputation systems on other crowdsourcing platforms

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Evaluate Platforms

  1. Summary of the reputation system
  2. Identify what is working and what is failing on the crowdsourcing platform.
  3. Find inequality between how requesters and workers are treated by the system.


Ideally, each person signed up to this Trello card will evaluation at least 2 other crowdsourcing platforms' reputation systems. In order to document your contribution, please add your Slack username beside the platform name so that we know who worked on which platform evaluations. Be sure to have a look at what has been identified for each platform and try to avoid mentioning elements more than once.


Amazon Mechanical Turk

rahulsheth1016 WORK IN PROGRESS

  1. Summary of the reputation system
  2. Identify what is working and what is failing on the crowdsourcing platform.
  3. Find inequality between how requesters and workers are treated by the system.

Upwork/oDesk

Jsilver +

  1. Summary of the reputation system
  2. Identify what is working and what is failing on the crowdsourcing platform.
  3. Find inequality between how requesters and workers are treated by the system.

Freelancer

Reviewed by @arichmondfuller (WORK in PROGRESS)

Summary of the reputation system

  • On Freelancer both requesters and workers rate each other and leave comments regarding performance by giving 1 to 5 star ratings and written comments as soon as a project or contest is completed and payment has been turned over.
  • Each project page will show a list of bidders that requesters can choose from, with freelancer ratings and bid amounts available at a glance.
  • They give each other 1-5 star ratings related to quality and timeliness.
  • View profile page containing worker reputation elements at https://www.freelancer.com.au/u/BRD11.html
  • Workers profile pages show a 1 to 5 star average rating for all completed projects along with the average price they charge per hour.
  • Workers can outline their education, certificates and qualifications on their profile page.
  • Workers can collect badges to highlight their commitment and skills such as completed 100 projects, made over $1000, provided 500 bits of feedback in the forum, passed English Exam Level 3, etc.
  • Workers can also take exams provided by Freelancer to demonstrate various skills. These exams such as Freelancer Orientation, English Level 3, Numeracy Level 1, Employer Orientation, Worker Orientation, etc. are viewable on the profile page.
  • View this posted task to see elements of requester reputation at https://www.freelancer.com.au/projects/threed-animation/Whiteboard-sketch-simple-character/ The posted tasks show the requesters' 1 to 5 star average ratings along with how many tasks they have posted. You can click through for further details. It also shows how many projects were completed and how many reviews given.
  • Requesters are rated on: Clarity in Specification; Communication; Payment Promptness; Professionalism; Would Work for Again
  • There is also an indication of whether or not the requester's payment method is verified.

Identify what is working and what is failing on the crowdsourcing platform

  • Star ratings are inflated
  • Workers often resort to begging requesters for 5 star ratings at the end of projects.
  • Requesters often withhold payment for tasks.
  • Several scammers operate on this site if we believe the reviews identified on a quick google search.
  • More work needs to be done to verify requester accounts
  • Often worker accounts are a company that has a group of workers who do the work. The star rating may not tell the full story if it's actually several different people doing the work.
  • Because copies of the chat aren't saved by the system, workers often say things that bully the requester and then are immediately erased so there is no evidence of the demands. I imagine this happens the other way as well.

Find inequality between how requesters and workers are treated by the system

  • Because payment at milestones is optional, workers are often uncertain as to whether or not they will be paid in full at the end of a task.
  • Requesters are subject to begging for 5 star ratings upon completion of a task.
  • Workers bully requesters at the beginning of tasks asking for more than 50% paid up front before any work is done.
  • Because the milestone payment process is not formalised on the platform novice requesters at times feel that workers bully them into more payment than deserved being paid up front.

PeoplePerHour

Jsilver +

  1. Summary of the reputation system
  2. Identify what is working and what is failing on the crowdsourcing platform.
  3. Find inequality between how requesters and workers are treated by the system.

Fiverr.com

Reviewed by Claudia Flores Saviaga @claudiasaviaga and other Pumas (WORK in PROGRESS)

  1. Summary of the reputation system
  2. Identify what is working and what is failing on the crowdsourcing platform.
  • A factor that might be working very well for Fivver is showing how much a worker takes to execute a particular task. Let's recall that for requestors one of the main concerns when finding workers is how long they are going to take to execute the task (see e.g., Why is Amazon Mechanical Turk so Popular? ) See example profile:

Yane.jpg

  1. Find inequality between how requesters and workers are treated by the system.

DigiServed

Jsilver +

  1. Summary of the reputation system
  2. Identify what is working and what is failing on the crowdsourcing platform.
  3. Find inequality between how requesters and workers are treated by the system.

Prolific Academic at https://prolificacademic.co.uk/

  1. Summary of the reputation system
  2. Identify what is working and what is failing on the crowdsourcing platform.
  3. Find inequality between how requesters and workers are treated by the system.


Airtasker

  1. Summary of the reputation system
  2. Identify what is working and what is failing on the crowdsourcing platform.
  3. Find inequality between how requesters and workers are treated by the system.

Vayable at https://www.vayable.com

Reviewed by Juechi Zhou @juechi (work in progress)

  1. Summary of the reputation system
  2. Identify what is working and what is failing on the crowdsourcing platform.
  3. Find inequality between how requesters and workers are treated by the system.

Taskrabbit

  1. Summary of the reputation system
  2. Identify what is working and what is failing on the crowdsourcing platform.
  3. Find inequality between how requesters and workers are treated by the system.

Zooniverse

  1. Summary of the reputation system
  2. Identify what is working and what is failing on the crowdsourcing platform.
  3. Find inequality between how requesters and workers are treated by the system.

Gigwalk

  1. Summary of the reputation system
  2. Identify what is working and what is failing on the crowdsourcing platform.
  3. Find inequality between how requesters and workers are treated by the system.

Thumbtack www.thumbtack.com

  1. Summary of the reputation system
  2. Identify what is working and what is failing on the crowdsourcing platform.
  3. Find inequality between how requesters and workers are treated by the system.