Pakistan’s Ghost Singer Disinformation Network: The Case of BV Singh

Fictitious Sikh Singer’s AI-Generated Songs Spread Anti-India Messaging

An elaborate disinformation campaign featuring a fabricated Sikh artist has been circulating across social media platforms, an investigation has revealed. Videos featuring “BV Singh,” purportedly a Calgary-based Sikh singer, have garnered hundreds of thousands of views while promoting pro-Pakistan narratives and criticizing Indian leadership.

Despite his apparent popularity, comprehensive analysis confirms BV Singh does not exist. The fictitious artist has no presence on legitimate music platforms such as Spotify, Apple Music, or Amazon Music. Voice detection software has verified that all audio content attributed to BV Singh was artificially generated, while video thumbnails were similarly created using AI technology.

The operation distributes content through a sophisticated network of at least 18 YouTube channels, with videos receiving between 7,000 and 281,000 views. Channels including JD News, Jamhoor Records, and Vella House Entertainment—none of which are traditional music outlets—have been instrumental in spreading the fabricated content.

Jamhoor Records, created just five months ago in July 2025, has amassed nearly 5 million views while serving as the primary distribution source. Each video features a turbaned man in a recording studio alongside footage of protests, military parades, and Indian politicians.

The campaign follows a telling pattern: unrelated channels with modest viewership suddenly feature a single BV Singh video that receives disproportionately high engagement. This suggests coordinated amplification rather than organic interest.

Further investigation revealed that the videos falsely credit “Dhamaka Records” as the label. The legitimate Dhamaka Records, a verified music company, has confirmed they have never released music by any artist named BV Singh. Meanwhile, an account called “Dhamaka AI” has been actively circulating the videos on Twitter.

Content analysis shows a deliberate thematic focus. One song praises Pakistan’s military operations against India, specifically naming Prime Minister Modi and other Indian leaders. Another claims Indian media ignores Sikh suffering, while a third celebrates Pakistan-Saudi defense partnerships. All content positions India as an oppressor while portraying Pakistan favorably.

The operation extends beyond YouTube to Twitter and Facebook, where at least 18 accounts have shared BV Singh content using identical messaging. Analysis of these posts reveals a coordinated strategy: 86% build false credibility by referring to BV Singh as “famous,” 67% directly praise Pakistan or reference Pakistan-Saudi relations, and 20% create urgency through claims of censorship with phrases like “Indian government trying to delete this song.”

Particularly concerning is the campaign’s weaponization of Sikh identity. By creating a fictional Sikh artist from Canada, the operation manufactures the appearance that anti-India sentiment originates from within the Sikh diaspora community itself. This tactic attempts to create division by falsely representing Sikh sentiment while exploiting the community’s credibility to legitimize hostile narratives.

The operation also employs reaction videos from Pakistan-based content creators discussing the AI-generated songs, establishing a layer of manufactured credibility by suggesting the music warrants critical attention and community discussion.

Security analysts note that such sophisticated information operations represent a growing trend in digital-age propaganda. By combining AI technology with coordinated distribution networks, state and non-state actors can create compelling false narratives targeted at specific communities and political fault lines.

This case demonstrates the evolving challenges of information integrity in an era when artificial intelligence can create increasingly convincing fabrications that exploit existing social and political tensions. As these technologies become more accessible, identifying and countering such campaigns will require greater media literacy and more sophisticated detection tools.