{"resolved":true,"match_type":"uuid","source_type":"original_book","book_id":"13a8d12f-fb2c-4d05-a501-68bf7c192d34","title":"技术至死 数字化生存的阴暗面","author":null,"edition":null,"publisher":null,"year":null,"isbn":"0120136503","requested_by":"printed_page","book":{"source_type":"original_book","book_id":"13a8d12f-fb2c-4d05-a501-68bf7c192d34","id":"13a8d12f-fb2c-4d05-a501-68bf7c192d34","uuid":"13a8d12f-fb2c-4d05-a501-68bf7c192d34","title":"技术至死 数字化生存的阴暗面","normalized_title":"技术至死数字化生存的阴暗面","author":null,"edition":null,"publisher":null,"year":null,"isbn":"0120136503","isbns":["0120136503","9787121227776"],"parsed":true,"ai_readable":true,"document_type":"book","page_count":396,"navigation_url":"https://workshop.closeclaw.top/ai/book/13a8d12f-fb2c-4d05-a501-68bf7c192d34","title_url":"https://workshop.closeclaw.top/ai/title/%E6%8A%80%E6%9C%AF%E8%87%B3%E6%AD%BB%20%E6%95%B0%E5%AD%97%E5%8C%96%E7%94%9F%E5%AD%98%E7%9A%84%E9%98%B4%E6%9A%97%E9%9D%A2","fixed_page_url_template":"https://workshop.closeclaw.top/ai/book/13a8d12f-fb2c-4d05-a501-68bf7c192d34/page/{printed_page}","path_api_url_template":"https://workshop.closeclaw.top/api/ai/book/13a8d12f-fb2c-4d05-a501-68bf7c192d34/page/{printed_page}","read_url":"https://workshop.closeclaw.top/api/ai/read/13a8d12f-fb2c-4d05-a501-68bf7c192d34","page_url":"https://workshop.closeclaw.top/api/ai/books/13a8d12f-fb2c-4d05-a501-68bf7c192d34/page","search_url":"https://workshop.closeclaw.top/api/ai/books/13a8d12f-fb2c-4d05-a501-68bf7c192d34/search"},"page":{"printed_page":169,"pdf_page":183,"physical_index":183,"physical_index_base":0,"printed_page_status":"recognized","page_sha256":"364e592c6f0aad339493c2bf0f65e5a9c82c913ca1fe777bf7426832783eb464"},"chapter":"技术至死数字化生存的阴暗面","content":"这种区别如何解释？没火起来的那组照片中，有好多相当悲惨的当地人镜头；而火起来的那组，则全是建筑物和当地色彩。由于《赫芬顿邮报》的推波助澜，其中一组成了弥母；另一组毫无起色，只收到29条评论，而《赫芬顿邮报》的评论有4，000条还要多(更别说Facebook上的25，000个“喜欢”了)。公共生活弥母化是霍利戴深恶痛绝的东西，也许他自有理由。“网络经济状况使人无法准确描绘底特律的复杂状况……城市令人难以释怀的毁灭，这类简单故事传播和留存下来，而复杂的故事，比如城里满是亟需帮助的人，却流传不开，”他这样写道(鉴于他所要传递信息的急迫性，即便他偶尔陷入互联网中心主义，或许也是可以原谅的吧)。\n\n这种弥母逻辑，也就是说，基于受众已知信息，以目标受众可能如何反应来评价一切的倾向，也在迅速侵入我们文化的其他部分。在音乐产业，唱片公司日益依赖能对任何歌曲进行多维度分析的复杂算法，它根据之前上榜歌曲的漫长历史分析现有歌曲的上榜可能性，并为之打分。正如克里斯托弗·斯坦纳(ChristopherSteiner)在《自动化》(AutomateThis)一书中所指出，像MusicXray这样允许音乐家把歌曲传到网上，并对其进行流行潜力分析的创业公司，为音乐产业带来了巨大的“效力和大批全新的艺术家……主要唱片公司（其实是所有的)依赖算法来选择签约音乐家和推广歌曲，这一天的到来只是时间问题。”\n\n算法“守门人”的危险\n\n169","previous_page":168,"next_page":170}