6月5日 frog's mum
I’ve been using Douban for a while now, and I’m increasingly disappointed by how the platform seems to handle malicious low ratings. It’s clear that many genuinely good works are being intentionally rated low by certain users or groups, and unfortunately, Douban’s algorithm doesn’t seem to address this issue properly.What’s more concerning is that the final scores of these works often feel suspiciously predetermined—there are noticeable discrepancies between what’s shown on Douban and what independent data analysis (like my own scripts in Python) would suggest based on user reviews. It gives the impression that scores are somehow manipulated or at least not reflecting genuine user sentiment.This unfair scoring system ends up burying good works and skewing recommendations. Douban used to be a place for discovering authentic reviews and finding gems, but lately, it feels like the playing field has become anything but fair. I hope Douban takes this issue seriously and finds a better way to handle malicious rating behavior and score calculation.