News Story

Using open access research in our battle against misinformation

Catherine Kuliavets, Monday 21 Feb 2022

Our society is facing significant challenges due to the widespread misinformation, in particular on social media, substantially influencing public opinion. As a result, we are seeing a lot of demand for innovative text processing methods to fact check and provide an automatic assessment of trustworthiness and credibility. Machine learning and natural language processing have started to be widely used to address this problem. 

While scientific papers have been traditionally seen as a source of mostly trustworthy information, their use within automated tools in the fight against misinformation, such as related to vaccine effectiveness or climate changes, has been rather limited.

Read the full blog post about it on the Jisc Research Blog.

Related Links:

• Read more.

Barclay’s Eagle Lab offers support to two KMiers to build their digital product

Alexander Mikroyannidis presents SAGE-RAI at the 2024 Intelligent Tutoring Systems conference

Empowering Innovation: Highlights from GenAI & Amazon Bedrock Immersion Day at KMi

KMi Researchers Make Significant Contributions at ESWC 2024 Conference

KMi’s Prof. Fernandez insightful presentation at WEBSCI’24: Tackling Misinformation Spread through Recommendation Algorithms