The issue of transparency in social media platform algorithms has recently become a hot topic. A senior executive of a leading social platform announced that within 7 days, the platform will open-source its latest recommendation algorithm, covering the recommendation logic for natural search and advertising content. This process is planned to be updated every four weeks, along with detailed developer documentation.

This move actually reflects a more realistic dilemma. According to data, over 7.75 million cryptocurrency-related posts were published by bot accounts on the platform the day before yesterday, a year-over-year increase of more than 1200%. The surge in volume has raised quality concerns—the platform's content filtering mechanisms block a large amount of crypto-related discussions and information from reaching users' feeds.

In other words, even though the crypto community is very active on the platform, the actual crypto content seen by users is gradually being suppressed. The black-box operation of the algorithm, combined with bot spamming, creates a double effect that puts legitimate crypto discussions in an awkward position. This may be why pushing for open-sourcing algorithms has become an urgent need—only with transparent mechanisms can genuine voices avoid being drowned out by algorithmic preferences.