Introduction
The rise of robot reporters in media and its implication on job availability in the industry, an article published in the New York times on 5th May 2019 creates the source for this paper. News reporters and editors become victims in media houses when machine-generated journalism is increasing rapidly. Bloomberg News uses automated technology to generate about a third of its content published content. Unfatigued and accurate robots help Bloomberg generate its content and can beat its main rival in business financial journalism. On the other hand it, researcher try to examine how susceptible media industry job is to computerization (Frey & Osborne, 2017).
Use of Descriptive Statistics
In the examination of the susceptibility of jobs to computerization, a novel methodology is implemented to estimate the probability of 720 jobs computerization. Further, the expected impacts on future computerization of labor market outcomes are monitored (Frey & Osborne, 2017). Emerging issues are monitored through the identification of clusters made up of keywords. This will inform the media firms like Bloomberg, which has fully embraced the robot system on the implications of scaling this technological advancement. The study uses a keyword-based model to automate the selection of related key points to enable it to measure the frequency of the relationship between human labor and robots.
Application to the Real World
Concerns have been raised in the United States and the entire Europe economy over the computerization of jobs that after all, this may render so many people jobless. The comparative study done by Frey and Osborne in 2013 proposed an occupation-based approach in the job market, assuming that the whole job rather than a single task is computerized. Contrary to another study taking a task-based approach finds out the implication of automated 9% tasks, and it shows fewer threats to technological advancement (Arntz et al., 2016). This, therefore, implies that, in real life job market, moderate computerization of task-based roles is fair to the human resource; otherwise, it poses a risk of massive joblessness.
Use of Various Types of Data
Arntz, Gregory, and Zierhan use a task-based approach to show the dangers of using Frey and Osborn's occupation-based approach on the issue of computerizing jobs. This indicates that the use of different data and different approaches in find the why and how of a situation like robots in the media industry brings a clear picture of why we should still have them but with regulation. Furthermore, other authors still argue that with or without the automation of occupation, we will still have jobs in our job market. As much as automation indeed substitutes for labor, it is true that it also complements, raises output quality and quantity in ways that create more job opportunities (David, 2015).
It is also true in the real world that automation changes the types of jobs available, and this has caused polarization of the job market in the recent past. This happens when wage gains go inappropriately to laborers in the top of the labor ladder and the bottom leaving the middle-class laborers to suffer. Therefore, this shows that jobs are still available despite caution by researchers to deal with fast-rising automation of tasks in our various fields.
Conclusion
In conclusion, statistics uses figurative language to prove situations that have obscure facts, and it is proven by researchers how the computerization of jobs in the media industry is good, but regulations need to be considered. Different types of data and approaches may be used to speak about the same issue to inform policies on the way forward about the concerns of society. Here, we are advised on why we need to continue with the automation of jobs, caution of too much automation, and why we do not need to panic over joblessness.
References
Arntz, M., Gregory, T., & Zierahn, U. (2016). The risk of automation for jobs in OECD countries. https://doi.org/10.1787/1815199X
David, H. J. J. O. E. P. (2015). Why are there still so many jobs? The history and future of workplace automation. Journal of economic perspectives, 29(3), 3-30. DOI: 10.1257/jep.29.3.3
Frey, C. B., & Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerisation?. Technological forecasting and social change, 114, 254-280. https://doi.org/10.1016/j.techfore.2016.08.019
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