{"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":95,"pdf_page":135,"physical_index":135,"physical_index_base":0,"printed_page_status":"recognized","page_sha256":"f02b305b18f19a7dfb9ff258fa6c7c98c370dff1ac2c3033467304f2b173a2a1"},"chapter":"第二章","content":"数据收集、整合和处理指导着谷歌的扩张，目的始终是根据个人和语境提供最相关的产品。公司创始人兼首席执行官劳伦斯·佩奇说：“谷歌的问题在于，你必须向它提出问题。它应该知道你想要什么，甚至在你提出要求之前就告诉你。”②因此，锁定目标是为了预测行为，更是为了引导行为。\n\n脸书与广泛的软件整合。语境化的原则在不断完善。它倾向于整合每个人在活动中留下的所有数字痕迹，包括与他们的社交网络、行动、购买历史有关的数据，以及他们的个人信息(甚至是隐私信息）、行政信息、财务信息和职业信息。事实表明，脸书直接从某些移动应用程序中获取数据，而用户并不知情。比如一款名为Breethe的冥想程序和另一款名为即时心率检测（Instant Heart Rate）的程序，后者被吹捧为“第一款最快、最准确的便携式心率监测器”。再如一款名为Flo的应用程序，它记录三十多种症状和活动，以便“通过人工智能生成有关月经周期和排卵期的最准确预测”，并承诺“通过检测反复出现的身体和情绪模式更好地了解你的身体”。在以上种种例子中，有关冥想、心率或排卵期的信息都会被传送到脸书。\n\n第二章 数字统治\n\n① Patrick MCGEE, «Robotaxis: can automakers catch up with Google in driverless cars?», Financial Times, 31 janvier 2019.\n\n② Hal R. VARIAN, «Beyond Big Data», Business Economics, vol. 49, n° 1, 2014, p. 28.\n\n095","previous_page":94,"next_page":96}