{"resolved":true,"match_type":"uuid","source_type":"original_book","book_id":"06dd97ec-cce5-45df-9acf-40e36f07dab3","title":"[数字经济前沿]技术封建主义","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787300328508","requested_by":"printed_page","book":{"source_type":"original_book","book_id":"06dd97ec-cce5-45df-9acf-40e36f07dab3","id":"06dd97ec-cce5-45df-9acf-40e36f07dab3","uuid":"06dd97ec-cce5-45df-9acf-40e36f07dab3","title":"[数字经济前沿]技术封建主义","normalized_title":"数字经济前沿技术封建主义","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787300328508","isbns":["9787300328508"],"parsed":true,"ai_readable":true,"document_type":"book","page_count":259,"navigation_url":"https://workshop.closeclaw.top/ai/book/06dd97ec-cce5-45df-9acf-40e36f07dab3","title_url":"https://workshop.closeclaw.top/ai/title/%5B%E6%95%B0%E5%AD%97%E7%BB%8F%E6%B5%8E%E5%89%8D%E6%B2%BF%5D%E6%8A%80%E6%9C%AF%E5%B0%81%E5%BB%BA%E4%B8%BB%E4%B9%89","fixed_page_url_template":"https://workshop.closeclaw.top/ai/book/06dd97ec-cce5-45df-9acf-40e36f07dab3/page/{printed_page}","path_api_url_template":"https://workshop.closeclaw.top/api/ai/book/06dd97ec-cce5-45df-9acf-40e36f07dab3/page/{printed_page}","read_url":"https://workshop.closeclaw.top/api/ai/read/06dd97ec-cce5-45df-9acf-40e36f07dab3","page_url":"https://workshop.closeclaw.top/api/ai/books/06dd97ec-cce5-45df-9acf-40e36f07dab3/page","search_url":"https://workshop.closeclaw.top/api/ai/books/06dd97ec-cce5-45df-9acf-40e36f07dab3/search"},"page":{"printed_page":124,"pdf_page":164,"physical_index":164,"physical_index_base":0,"printed_page_status":"recognized","page_sha256":"e40258d67fa6237bdaf10fb922e3ac445acedd44a74d98626641f0e19e4364e9"},"chapter":"第二章","content":"从声誉到推荐的转变是一种判断的转变。现在由算法决定我们的最佳匹配，就像约会应用软件Tinder，它无耻地利用我们的个人数据对我们进行评估，并根据构成其产业机密的标准决定向我们推荐哪些潜在伴侣。\n\n当然，这些平台声称，它们这样做只是为了更好地满足用户的需求。但滥用的风险并不小。平台可以出于不太合法的目的操纵其声誉系统，例如亚马逊的排名突出自家的产品而损害其他卖家的产品。\n\n在社交网络中，声誉管理直接带来政治问题。脸书开始对用户进行评级，以衡量其可信度，数值范围从0到1。这样做的公开目的是打击假新闻，它影响着个人出版物在算法中的可见度。这相当于将公众表达的监督权委托给了一家私人公司，而这家公司本身很可能在过滤意见时加入自己的偏见。问题在于评估所依据的标准并不透明。一位记者说：“具有讽刺意味的是，它们不能告诉我们它们如何评判我们因为如果它们告诉我们，我们就能骗过它们建立的算法。”②\n\n技术封建主义\n\n① Steven TADELIS, «Reputation and feedback systems in online platform markets», loc. cit., p. 336.\n\n② Elizabeth DWOSKIN, «Facebook is rating the trustworthiness of its users on a scale from zero to 1», The Washington Post , 21 août 2018.\n\n124","previous_page":123,"next_page":125}