{"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":103,"pdf_page":143,"physical_index":143,"physical_index_base":0,"printed_page_status":"recognized","page_sha256":"75f0c50d3802d1349ef084c43ae8e6f5164cabc9c98793b948fe4c470e3ea52c"},"chapter":"第二章","content":"最初仅限于大公司的“测试和学习”方法正变成数字环境中创新周期的规范，平台为第三方公司提供了自己进行在线测试的工具。我们需要担心这些新方法吗？在2012年1月11日至18日的一周时间内，脸书进行了一项实验，并引发了争议。该实验旨在探索社交网络环境下是否存在情绪传播现象，这是社会心理学中也研究过的话题。①结果与假设相符。那些接收到正面内容减少的新闻推送的人在状态更新中使用负面词语的比例较高，而使用正面词语的比例较低。相反，那些接收到负面内容减少的新闻推送的人呈现相反的变化。尽管测量到的影响非常微小（变化约为0.1%），但这仍然表明每天表达的数十万种情绪可以通过这种过滤过程而改变。研究还表明，减少带有积极或消极情感内容的消息数量会减少一个人随后在社交网络上产生的单词数量。换句话说，脸书可以通过某种方式影响个人的参与度。对于偏爱情感丰富内容的用户来说，这通常会增加内容的产量，这意味着选择内容以提高用户的参与度符合公司的利益。因此，这项研究建立了情绪操纵能力和社交网络参与度之间的联系，进而建立了脸书的盈利能力。\n\n第二章 数字统治\n\n① Adam D. I. KRAMER, Jamie E. GUILLORY et Jeffrey T. HANCOCK, «Experimental evidence of massive-scale emotional contagion through social networks», Proceedings of the National Academy of Sciences, vol. 111, n° 24, 2014, p. 1-3.\n\n103","previous_page":102,"next_page":104}