Analyzing Domestic Violence and Online Harassment During COVID19
In this project, award-winning Red Dot Foundation partnered with Omdena to apply various AI and NLP tools to better understand domestic violence and online harassment trends during COVID19.
The problem: A rise in domestic violence
COVID19 has shown a marked increase in cases of domestic violence and online harassment. Data substantiating domestic violence from government resources are only available in summary form. Incidents increases are largely reported via calls and hence making data and subsequent mapping difficult. Also, online harassment is on the rise and that information is available anecdotally. Both problems need urgent attention!
Work from Omdena’s AI again domestic violence project
Based on initial social media and keyword searches provided by Red Dot, Omdena’s collaborators built an NLP classifier model by mining thousands of multi-lingual posts from Twitter, Reddit, YouTube, and news articles as well as government reports and Google trends. The team delivered the model, a labeled dataset, and Tableau workbook.
With this additional data, Red Dot was able to file public interest litigation with the Supreme Court of India. Their case was referred to the Ministry of Home Affairs and Omdena’s results formed part of the evidence base for their request to declare DV services as essential and issue guidelines.
An award-winning platform that crowdsources personal stories of sexual harassment & abuse in public spaces to make this data useful for individuals, local communities and local administration to identify factors that cause harmful behaviour and develop coping strategies.
Machine Learning India (MLI), under QAIL, is a thriving community of 200,000 ardent - artificial intelligence enthusiasts across India. The goal of MLI is to reduce the skill-gap in India, by creating a vibrant AI ecosystem and talent pool; thereby leading the country to have a significant take in the global AI revolution.