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How can we distinguish the online posts written by real people from those coming out of professional bot-farms intent on influencing elections? New research from Princeton University in America uses machine learning to identify malicious online trolls, even before they’ve sent a single tweet. Lead author Meysam Alizadeh explains the power of this work to protect voters in future elections.
Gesture-controlled robots
Augmented surgery
The programme is presented by Gareth Mitchell with expert commentary from Angelica Mari.
(Image:Getty Images)
By BBC World Service4.6
105105 ratings
How can we distinguish the online posts written by real people from those coming out of professional bot-farms intent on influencing elections? New research from Princeton University in America uses machine learning to identify malicious online trolls, even before they’ve sent a single tweet. Lead author Meysam Alizadeh explains the power of this work to protect voters in future elections.
Gesture-controlled robots
Augmented surgery
The programme is presented by Gareth Mitchell with expert commentary from Angelica Mari.
(Image:Getty Images)

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