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CN Cyber Watchdog: Meituan, Taobao, JD, Other Platforms Respond to Enhance Algorithm Transparency and Fairness
The Central Cyberspace Affairs Commission issued the "Negative List for Algorithms of Life Service Platforms (Trial)" in January this year, the Cyberspace Administration ...
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CN Cyber Watchdog: Meituan, Taobao, JD, Other Platforms Respond to Enhance Algorithm Transparency and Fairness
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The Central Cyberspace Affairs Commission issued the "Negative List for Algorithms of Life Service Platforms (Trial)" in January this year, the Cyberspace Administration of China said via its official WeChat account today (8th). Cyberspace authorities in multiple regions across Mainland China have swiftly taken action, urging key platforms in food delivery, ride-hailing, freight, online shopping, online travel and ticketing sectors to benchmark against the "Negative List" and conduct in-depth self-inspection and rectification.

The article noted that platforms including Meituan, Taobao Instant Commerce, Taobao and Tmall, JD, Didi Chuxing, Amap, T3 Chuxing, Baidu, Full Truck Alliance, Pinduoduo, Douyin, Trip.com and Qunar have actively responded. They have implemented 63 optimization measures, committed to complying with 139 algorithm-related requirements, and are advancing 125 initiatives within a specified timeframe, yielding initial results in enhancing algorithm transparency, fairness and reasonableness.

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Improvements have been made in order allocation algorithms, time estimation algorithms, safety protection algorithms, commission algorithms, pricing algorithms, complaint handling and algorithm transparency, the report told. Regarding optimization of order allocation algorithms, orders are now prioritized for nearby assignment, unreasonable differentiated dispatching is resisted, limits on simultaneous orders have been set, and rider autonomy and choice have been enhanced. Meituan Waimai (Meituan Takeaway), Taobao Instant Commerce and JD Food Delivery provide at least four unconditional order rejection or transfer opportunities per day for different types of riders.

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