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Incident 1336: BJP Used Deepfake Videos of Manoj Tiwari to Target Haryanvi Voters in 2020 Delhi Election

Description: In February 2020, India's BJP used purported deepfake videos of party leader Manoj Tiwari to influence voters in the Delhi legislative election. The videos reportedly showed Tiwari delivering scripted campaign messages in Haryanvi and English, which are languages he did not speak, by altering his lip movements and voice. Distributed via thousands of WhatsApp groups, the deepfakes reportedly reached millions of voters without disclosure.
Editor Notes: This incident reportedly took place in February 2020. The incident ID was created 01/10/2026.

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Alleged: Unknown deepfake technology developers and Unknown voice cloning technology developers developed an AI system deployed by Unknown disinformation actors , Unknown disinformation actors in India , BJP Delhi IT Cell and The Ideaz Factory, which harmed General public , General public of India , Epistemic integrity , Manoj Tiwari and Electoral integrity.
Alleged implicated AI systems: Unknown deepfake technology , Unknown voice cloning technology , Social media platforms and WhatsApp

Incident Stats

Incident ID
1336
Report Count
1
Incident Date
2020-02-07
Editors
Daniel Atherton

Incident Reports

Reports Timeline

Incident OccurrenceWe've Just Seen the First Use of Deepfakes in an Indian Election Campaign
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We've Just Seen the First Use of Deepfakes in an Indian Election Campaign

We've Just Seen the First Use of Deepfakes in an Indian Election Campaign

vice.com

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We've Just Seen the First Use of Deepfakes in an Indian Election Campaign
vice.com · 2020

On February 7, a day ahead of the Legislative Assembly elections in Delhi, two videos of the Bharatiya Janata Party (BJP) President Manoj Tiwari criticising the incumbent Delhi government of Arvind Kejriwal went viral on WhatsApp. While one…

Variants

A "variant" is an AI incident similar to a known case—it has the same causes, harms, and AI system. Instead of listing it separately, we group it under the first reported incident. Unlike other incidents, variants do not need to have been reported outside the AIID. Learn more from the research paper.
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