2020
Why Masses Of Jobless Youth May Reduce The BJP In UP
Category: Best data-driven reporting (small and large newsrooms)
Country/area: India
Organisation: Indiaspend.com
Organisation size: Small
Publication date: 4 Oct 2019

Credit: Saurabh Sharma
Project description:
The story was part of the series on growing unemployment in India. It explained how the poorly executed policies of the government led to a massive joblessness and layoffs in the companies who were left with no options other than reducing their production, do cost cutting in absence of cash in their hand.
Impact reached:
The government refused to accept the problem of joblessness persisting in India’s biggest state due to the badly executed anti-industries policies made by them but it later started working on generating jobs by opening temporary vacancies in government departments and even made an accouncement to smoother the functions of banks for startups which helped in creating jobs.
Techniques/technologies used:
Used government websites to collect the data.
What was the hardest part of this project?
The hardest part was to get the comment from government about the problem highlighted in the story as they continuosly refused to accept that there was this problem persisting in the country
What can others learn from this project?
How to use government websites and its data to report a story
Project links:
www.indiaspend.com/why-masses-of-jobless-youth-may-reduce-the-bjp-in-up/