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Insight's Nasim Mahmud talks fake news and Facebook with the BBC

Insight’s Nasim Mahmud was recently interviewed on BBC Bangla Radio regarding the use of Machine Learning to handle fake news on Facebook. The interview was part of a report on the recent US election.


Facebook founder Mark Zuckerburg recently published a lengthy manifesto, Building Global Community, in which he spoke about the responsibility of Facebook and other social media networks to develop better technologies for spotting and weeding out fake news.


Speaking about the role of Machine Learning in fake news analysis Nasim said:


‘Creating and spreading hoax or fake news to intentionally create a social disruption is not new. However, with the help of online social media (e.g. Facebook) fake news could be shared much more quickly and it can badly affect our society by creating a sheer negative force. There are several arguments going on in relation to the impact of fake news shared Facebook, especially during the latest US presidential election and how that contributed to the election result. BBC Bangla Radio covered this issue in detail from both social and technical angles. They have investigated how fake news on social media is creating a serious social impact and how effectively Machine Learning (ML) technologies in Facebook may handle this. In order to provide an expert opinion, I was recently interviewed by BBC Bangla Radio (from London Studio) to explain how such algorithms work in general, possible alternatives; and how effective would that be in today’s context.’