‘Worker Data Science’ Can Teach Us How To Design A Gig Economy


All around the world, gig workers are making a clear and concise campaign for workers’ rights. Across several platforms and countries, gig workers have been fighting for legal recognition of employment (which would allow for benefits such as patient pay, vacation pay, pension benefits, and social security), essential security standards, pay rises, and time constraints, as well as the elimination of unfair practices. and dismissal from platforms. At the heart of most of these campaigns is the need for transparency and for the platforms to provide reliable information on how to collect and analyze data. Employees at Gig request to be exposed to algorithms that interpret, monitor, and modify the work that they may need to perform.

The interest and staff data and inquiries in the “black box of the platform” are based on two key factors. First of all, the staff at the gig and platform know that they make a lot of valuable information. Platforms do what is called “double the price, ”While any profits a company makes from its operations are magnified by its use and imaginary value of data ”produced before, during, and after. Instead, in order to be exposed to algorithmic methods that change their work experience, magig employees ask to understand how their work makes a profit for the company. This is a prerequisite for being recognized and paid for.

However, research and gig operators have shown that their interest in their algorithmic masters is far more pressing than the desire to earn higher pay. Unemployment, sports work is a way for self-employment, and employees should enjoy independence, flexibility, and choice of time and how to work, as well as having a clear idea of ​​how to stay safe at work and how to reduce their risks. connection and self-employment.

At the moment, staff at the gig are not happy about this benefits. Instead, the gig and platform functions and colors of dangerous work, where workers have to spend huge amounts of money, materially, and emotionally on their way to work. In response to these threats, operators argue that accessing platform data and a clear explanation of how their data is collected and analyzed by the platform can help them make informed decisions about when and how to use it. Staff interest in platform information is driven primarily by the immediate need to make the gig work feasible and secure.

While financial management of the platform and the right to work rights are important over time, the staff at the gig clearly need to know more about how to work in order to be more accessible. They teach us that legalizing labor rights is also a struggle for the data rights of workers. However, for employees, the need for algorithmic transparency and responsiveness poses many challenges to how they access opportunities.

Data requirements immediately reveal the dynamic energy in the economic platform. Data, as it is thought here, just flows far from staff and to a platform, where it becomes personal, valuable, and “great.” While the planets enjoy the benefits of collecting and analyzing big data, modern data protection laws work “less” as well it depends on the individual’s rights.



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