Researchers at the University of Sheffield are developing an AI tool to detect and counter online abuse, particularly on social media.
Social media allows us to communicate quickly and easily with family and friends.
In addition to sharing opinions and beliefs, we can also broadcast conversations to the point of going viral. Unfortunately, abusers use social media platforms for this same reason.
Online abuse can take several forms, from cyberbullying, trolling to hate speech. Recently, these actions have sparked public outrage, and people now expect social media platforms to do more to tackle the issue.
In a statement to the press, researcher from the University of Sheffield’s Department of Computer Science, Professor Kalina Bontcheva said:
“There has been a huge increase in the level of abuse and hate speech online in recent years, and this has left governments and social media platforms struggling to deal with the consequences.”
So, Bontcheva collaborated with a colleague at Simon Fraser University in Canada, Wendy Hui Kyong Chun, to address the issue. Together, they’re developing artificial intelligence and natural language processing (NLP) methods to tackle abuse and hate speech online.
Here’s how it works
Developing an NLP and AI Tool to Fight Online Abuse
The current moderation systems on social media are now without biases. Due to problems with rigid definition and determination of abusive language, these systems create new forms of discrimination.
So Bontcheva and colleagues will examine the AI methods that are currently being used to detect online abuse and hate speech. Then, they’ll use the result to develop an effective and unbiased algorithm.
Along with being context-aware, the system will also respect language differences within communities based on gender, sexuality, race, and ethnicity.
The project focuses on two areas — the gaming industry and messages directed at politicians on social media. However, the researchers intend to make the new tools open source to empower other users.
Bontcheva noted:
“We are developing novel AI and NLP methods to address the problem while also developing a substantial program of training for academics and early career researchers to build capacity and expertise in this key area of research.”
The project was funded by UK Research and Innovation (UKRI) as one of 10 UK-Canada projects to support the responsible development of AI.
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