Research Findings - Analysis of 90,000 comments from 600 videos tagged with "black people" and "China" revealed that 10% were race-related, with 80% of those expressing negative sentiments [3] - Manual categorization of 2,000 comments highlighted recurring themes such as mockery/harassment of Chinese women in interracial relationships and the portrayal of Black people as criminal, stupid, and animalistic [3][4] - The research uncovered instances of racial slurs and calls for genetic purism within the online comments [4] Societal Context - Despite outward diplomacy and strong ties between China and African countries, the daily reception of Black individuals in China tells a different story [5] - Historical events, such as the 1988 protests and the 2020 COVID-related mistreatment of Black residents in Guangzhou, highlight underlying tensions [5][6] - The tragedy involving a Black American teacher and a Chinese student was twisted to support claims of inherent Black violence, clashing with the Black Lives Matter movement [7] Algorithmic Influence - Algorithms on platforms like Bilibili incentivize outrage and controversy, leading to the amplification of hateful and extreme comments [9] - The design of these platforms fosters negativity bias, echo chambers, and confirmation bias, contributing to the spread of hate [10] Solutions and Recommendations - Meaningful connection, rather than mere proximity, is crucial for changing prejudice [13] - There is a need for better policies that encourage cross-cultural dialogue, humanize individuals, and hold platforms accountable [13] - The report advocates for recognizing that racism is not solely a Western issue but exists within our own platforms and language [16]