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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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Entities

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Alleged: Deepfake technology developers and Synthetic audio generation technology developers developed an AI system deployed by The Ideaz Factory , Information manipulation actors , BJP Delhi IT Cell and Information manipulation actors in India, which harmed Manoj Tiwari , General public of India , General public , Epistemic integrity and Democratic integrity.
Alleged implicated AI systems: WhatsApp , Deepfake technology , Social media platforms and Synthetic audio generation technology

Incident Stats

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

MIT Taxonomy Classifications

Machine-Classified
Taxonomy Details

Risk Subdomain

A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
 

4.1. Disinformation, surveillance, and influence at scale

Risk Domain

The Domain Taxonomy of AI Risks classifies risks into seven AI risk domains: (1) Discrimination & toxicity, (2) Privacy & security, (3) Misinformation, (4) Malicious actors & misuse, (5) Human-computer interaction, (6) Socioeconomic & environmental harms, and (7) AI system safety, failures & limitations.
 
  1. Malicious Actors & Misuse

Entity

Which, if any, entity is presented as the main cause of the risk
 

Human

Timing

The stage in the AI lifecycle at which the risk is presented as occurring
 

Post-deployment

Intent

Whether the risk is presented as occurring as an expected or unexpected outcome from pursuing a goal
 

Intentional

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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