31 July 2022

Automatic Blocking Offensive Student-feedback

Great to share another media coverage of our machine learning research! This "abuse detection" research started by finding a solution for identifying misogynistic tweets in 2019 -2020 with QUT researchers from DMRC and then finding a commercial solution for iShield.ai in identifying a bias (racial, age, gender, etc) for expression in general posts in 2020 - 2021. And now applying in another useful application. Excited about where this research will take us next.

Our work on automatic blocking "offensive student-feedback" has been featured on Australian "Campus Review" and they published a Podcast on it.

Podcast: https://bit.ly/3Sek1SF
News Link: https://bit.ly/3Q8rQYs
Paper: https://bit.ly/3oEJwPN

Another article published describing our work on automatic blocking "offensive student-feedback".
Article: https://bit.ly/3QdnL5b

#machinelearning #ai #qut