Revaluation: Big Data and Human Survival

Name: Revaluation: Big Data and Human Survival
ISBN: 9787121347184

刁生富Publishing House of Electronics Industry · ChinaSep 2018

3.3

Word count: 129K words
Chapters: 59
ISBN: 9787121347184

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Summary

How to view rationally and evaluate appropriately the impact of big data on human survival and development is a major issue in today's era of big data and artificial intelligence. This book selects some important aspects closely related to big data and human survival and development, including communication, learning, reading, education, screen scrolling, thinking, psychology, rights, privacy, literacy, liberation, and digital legacy, and conducts a preliminary study from the perspectives of philosophy, ethics, psychology, education, and sociology, exploring the meanings that big data has already bestowed and may bestow on "human existential reality," the new problems it has created, and the paths to solving these problems.

Editor's review

"Reassessment: Big Data and Human Survival" is not a mere popular science book on technology, but a profound work of reflection grounded in philosophical and sociological perspectives. With his solid interdisciplinary background, the author Professor Diao Shengfu places the technological phenomenon of big data within the grand narrative of human survival and development. The core value of this book lies in its stance of "reassessment"—it guides readers to move beyond cheers for the efficiency and convenience of big data and instead ponder deeply its far-reaching shaping and potential alienation of personal privacy, social structures, cognitive modes, and even human nature itself. The book offers sharp analysis of real-world issues such as algorithmic bias and data monopoly, and also explores the fundamental question of how to preserve human subjectivity and dignity amid the flood of data. In the editor's view, reading this book is more like an intellectual journey: it does not provide simple technical answers, but keeps raising questions that challenge our taken-for-granted assumptions about digital life. For readers who wish to understand the deep logic of a technological society, this is a timely and important intellectual map.

Who it's for

A good fit for

Researchers and students interested in the sociology of technology and the philosophy of science and technology
Practitioners in the internet and data analysis industries who wish to understand the deeper implications of their work
General educated readers concerned about privacy, ethics, and the human condition in the digital age
Thinkers seeking interdisciplinary perspectives to understand the core driving forces of contemporary society

Not a good fit for

Purely technical readers who only wish to learn specific big data technologies, tools, or programming methods
Pragmatists expecting light reading and quick access to practical tips

Reading tips

When reading, it is suggested to reflect in light of current data journalism or technology ethics events, allowing theory to illuminate reality.
Some chapters involve philosophical discussion; readers may appropriately slow their pace and need not strive to read everything in one sitting.
After reading, try recording your own observations of "datafication" around you and form your personal "reassessment" notes.

About the publisher

Publishing House of Electronics Industry China · Founded in 1982

The Publishing House of Electronics Industry is a comprehensive publisher distinguished by its focus on electronic information and related fields. Judging from the more than 3,000 titles in its catalogue, its publishing covers programming and design, artificial intelligence, computer science, finance and economics, photography, and social sciences, attending both to cutting-edge technology and to general readers. Representative titles include Factor Investing: Methods and Practice, x86 Assembly Language: From Real Mode to Protected Mode, The RISC-V Reader, Artificial Intelligence: Speech Recognition, Understanding and Practice, Phased Array Radar Technology, Radar Target Characteristics, and 100 Go Mistakes and How to Avoid Them, most of which centre on technical methods and engineering practice. Its authors include Shi Chuan, Li Zhong, Wang Xiaobo, David Patterson, Andrew Waterman, and Yu Zihao, among others from China and abroad. Owing to limited public information, no further publishing features are elaborated here.

版权信息
前言
第一章交往：数据之下的“微交网”
一、社交网络与“微交网”
二、“微交网”的特点
三、大数据对“微交网”的影响
四、微存之问
五、求解之路
第二章刷屏：屏读盛行的异化与消解
一、刷屏盛行的产生
二、刷屏盛行的异化
三、屏读异化的消解
第三章学习：大数据与求知新路径
一、大数据时代学习的新态势
二、大数据时代学习的新问题
三、大数据时代学习的新路径
第四章阅读：大数据时代浅阅读探讨
一、大数据时代浅阅读盛行之缘由
二、大数据时代浅阅读盛行的焦虑
三、平衡深浅阅读，重塑流行范式
第五章教育：以生为本的数据愿景
一、大数据驱动个性化教育的现状
二、大数据时代青少年面临的新情况
三、大数据时代青少年教育问题的成因
四、推行以生为本的大数据教育
第六章思维：大数据“灵魂”的自我对话
一、大数据思维
二、大数据思维的“自我追问”
三、在互补中实现大数据思维的超越
第七章心理：数据迷失下的心灵安放
一、大数据时代自我迷失的表现
二、大数据时代自我迷失之源
三、大数据时代人的重新定位
第八章权利：大数据催生的新规则
一、大数据时代个人数据权被侵犯问题的产生
二、个人数据权被侵犯的原因
三、个人数据权被侵犯带来的问题
四、个人数据权的回归与保护
第九章隐私：在透明化中“裸奔”
一、透明化时代的来临与隐私和隐私权的新含义
二、透明化时代隐私权被侵犯的表现
三、隐私权被侵犯带来的危害
四、综合治理确保隐私权不受侵犯
第十章遗产：数据时代的新形式
一、网络数字遗产——新的遗产形式
二、网络数字遗产继承出现的新问题
三、网络数字遗产继承问题的对策
第十一章素养：用激情和理性拥抱大数据
一、时代需求下的数据素养
二、数据素养的含义及其内容
三、综合培育提升个人数据素养
第十二章社会：构建综合治理体系
一、大数据的社会问题
二、大数据的社会治理
第十三章解放：消解大数据时代人的奴役
一、大数据时代奴役的问题表征
二、大数据时代奴役的引发肇因
三、大数据时代奴役的消解路径
反侵权盗版声明

FAQ

Is this book highly specialized? Does it require relevant background to understand?

The book integrates technological, philosophical, and sociological perspectives and involves a certain depth of speculation. Although readers are not required to have advanced technical or philosophical backgrounds, an open speculative mindset and a degree of intellectual curiosity are key to better understanding the content. The author strives for clarity in exposition, and general educated readers can grasp its core ideas through patient reading.

How is this book different from similar books discussing big data society?

Compared with many books that focus on business applications, technological prospects, or privacy warnings, the uniqueness of this book lies in the fact that its "reassessment" is grounded in the fundamental question of human "survival." It is closer to an existential inquiry, exploring the role of technology in defining "who we are" and "how we will live together," with a more foundational and macro perspective.

Are the views in the book outdated?

The core issues discussed in the book—such as algorithmic ethics, data power, and human alienation—have not become outdated; rather, they have become more urgent with the deepening application of artificial intelligence. The book's philosophical reflective framework helps readers see through the rapidly changing surface of technology and grasp the enduring structural contradictions and human challenges behind it, and thus it has lasting reference value.

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About the author

刁生富 Author

Diao Shengfu is a Chinese-language writer on technology and social science topics. Public information about him is limited, and details of his background and professional positions remain unclear. Judging from the six works held in the collection, his writing centers on the intersection of digital technology and society, covering artificial intelligence, big data, blockchain and retail transformation. His representative works include Re-evaluating: Artificial Intelligence and Human Survival and Re-evaluating: Big Data and Human Survival, together with Blockchain and New Industrial Opportunities, Blockchain and People's Livelihood Services, New Retail Practice: The Transformation of Retail Driven by Intelligent Technology, and The Future of Artificial Intelligence under New Infrastructure. These books combine technical introduction with humanistic reflection, explaining applications of new technologies to general readers while attending to their real effects on how people live and work; they appear across the categories of programming and design, artificial intelligence, and social science.