Spotify pushes back on Kalshi and Polymarket after a song’s chart run looked rigged

Spotify recently took decisive action after detecting irregular streaming activity surrounding Malcolm Todd’s song "Earrings." The track experienced an abrupt surge in streams, propelling it to the top of Spotify’s US daily chart in late June. This spike coincided suspiciously with substantial betting activity on Kalshi, a prediction market platform that had offered contracts on which song would be the most streamed in the US for the month.

Between June 28 and 29, streams of "Earrings" jumped by nearly 70%, pushing the song from fourth to first place on the US daily chart—an unusual leap given the track’s prior steady chart presence. This sharp increase drew attention from a trader who analyzes Spotify data for wagering purposes. The trader identified the spike as an extraordinarily rare event statistically, raising red flags about potential manipulation.

Spotify’s subsequent investigation determined that a significant portion of the streams fueling the surge were generated artificially by bots. In response, the platform removed approximately 500,000 streams from Todd’s track, causing the song to drop to third place on the chart. Importantly, Spotify emphasized that there is no evidence implicating Malcolm Todd or his team in the manipulation efforts.

The impetus for scrutiny originated within the prediction market itself. Kalshi had facilitated around $3 million in bets on the outcome of which song would dominate US streams in June. Prior to the spike, the market assigned only a 2.5% chance that "Earrings" would claim the top spot by month’s end. This low probability meant that individuals who wagered on the song reaching number one stood to gain substantial returns if the outcome materialized.

Spotify has publicly stated that stream manipulation remains a persistent challenge across all major streaming platforms. To combat this, Spotify employs advanced detection and mitigation systems designed to identify and address artificial streaming activity. Notably, the company confirmed that royalties are not paid on streams flagged as manipulated.

Following the incident, Spotify has requested that Kalshi and Polymarket, another prediction market operator, cease using Spotify’s logo and clarify the absence of any official partnerships. This development comes amid growing scrutiny of prediction markets’ increasing presence and influence within entertainment sectors. Both platforms have faced regulatory and security challenges recently, including significant financial breaches and questions about insider trading practices.

The manipulation case highlights a structural vulnerability: when financial incentives are tied to chart positions through prediction market bets, there is a tangible motive for bad actors to artificially inflate streaming figures. This scenario underscores the complexities facing streaming services in preserving chart integrity while navigating the evolving intersection of digital music consumption and financial speculation.

Kalshi has indicated ongoing cooperation with Spotify and is investigating the matter internally. The company announced integrity measures introduced earlier in June, such as risk scoring and whistleblower tools aimed at curtailing insider trading and market abuses. However, it remains unclear if these controls could have detected manipulation originating outside their own trading systems, as was the case here.

Spotify’s experience with this incident is prompting the platform to enhance its chart verification processes before public release. This proactive stance reflects the broader industry challenge of safeguarding authentic music consumption data amid emerging risks tied to monetized prediction markets.

While details about the perpetrators behind the stream inflation remain limited, this episode serves as a cautionary example of how intertwined financial markets and music streaming ecosystems can become. It also raises critical questions about the future governance and oversight needed to ensure the fairness and credibility of digital music charts.