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Institute of Data Science and Artificial Intelligence
6 February 2023
3 minutes to readIncel activity online is evolving to become more extreme, study shows
Incel activity online is evolving to become more extreme as some of the online spaces hosting its violent and misogynistic content are shut down and new ones emerge, a new study shows.
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2 December 2022
4 minutes to readNew research from the University of Exeter and Mozilla investigates ‘YouTube Regrets’
A recent report from the University of Exeter and the Mozilla Foundation has investigated the potentially harmful effects of videos suggested to people on YouTube. YouTube, the world’s second-most popular website and home to 2 billion active users each month, is facing criticism for the opacity of its recommendation algorithm, which suggests…
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12 October 2022
3 minutes to readNew study to map YouTube’s role in the Brazilian elections
Experts at the University of Exeter, Instituto Vero and Mozilla are working to discover how YouTube is influencing the Brazilian federal elections – and how the social media platform potentially contributes to a disinformation media ecosystem.
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15 March 2022
3 minutes to readTracking the spread of Incel ideology online
A major new study is tracking the spread of Incel ideology online, to help academics and practitioners better understand the spread of extremist ideologies and aid the development of intervention measures.
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1 September 2021
4 minutes to readOptimising supply chains with machine learning
A new Knowledge Transfer Partnership (KTP) between the University of Exeter and Applegate Marketplace launched this year, to help machine learning improve the company’s decision-making.
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20 July 2020
4 minutes to readHousehold air pollution and the forgotten 3 billion
Since 2017, researchers at the University of Exeter have worked with the WHO to design a completely new bespoke statistical model for estimating worldwide use of specific fuels for cooking.
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20 September 2019
2 minutes to readMachine learning to reduce flooding as a result of sewer blockages
A research project was undertaken between the University of Exeter and DC Welsh Water to develop a machine learning tool that could more accurately predict and identify potential blockages across the sewer network.
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