- Alumni Richie Nayak from IIT Roorkee developed the algorithm
- Posts on abuse of women on social media will be identified
Roorkee. People who abuses and posts against women on social media will be identified, Because Richie Nayak Alumni from IIT Roorkee developed a algorithm which identifies and report posts related to indecency on women on social media platforms. The algorithm will not only identify such reports but also report them.
According to a Web Foundation survey, 52 percent of young women and girls admit they have suffered online abuse, including threats such as threatening messages, sexual harassment, and sharing personal photos without consent.
Machine learning expert and Indian Institute of Technology (IIT) Roorkee Alumni Richie Nayak designed an Algorithm to make the online platform safer for women. Using knowledge of science, technology, engineering and mathematics (STEM), with the help of his colleague Mohd. Abdul Bashar, Richie Nayak developed an Algorithm.
They developed the algorithm and trained it to understand the content, context and intent of social media posts. In addition to equipping with the ability to understand language, researchers have also taught it to distinguish between incorrect and correct tweets.
“I have always been interested in mathematics at a young age. I would like to thank my late supervisor Prof. J. D. Sharma for introducing me to the field of Machine Learning during the post-graduation at IIT Roorkee.
I was also fortunate to receive guidance and mentorship under IIT Roorkee’s expert academicians including the late Prof. G.C Nayak, Prof. C. Mohan and Prof J. L. Gaindhar. It was instrumental in motivating me to take up a career in research to address societal issues” said Richi Nayak, a computer science professor at Queensland University of Technology, Australia
Her research focuses on the training of models with datasets like Wikipedia and subsequently training it in somewhat abusive language through user review data.
It also trained the model on a large dataset of tweets. Besides equipping it with linguistic capability, the researchers taught it to distinguish between misogynistic and non-misogynistic tweets.
Her research marks a paradigm shift from users reporting suspected cases of harassment to automatically detecting and reporting abusive content on social media.
“I am delighted that technology co-developed by an IITR alumnus can be used to automatically flag harassment of women on social media.
I hope detection of such instances will induce corrective behavioural changes towards the way social media is being used as well as towards women” said Prof. Ajit K Chaturvedi, Director, IIT Roorkee
A 2017 Pew Research Center survey had highlighted that 39% of women have experienced some form of online harassment. In India, according to the Norton survey by Symantec, 8 out of 10 Indians have experienced some form of harassment with 41% women admitting that they faced sexual harassment online.