大数据热的冷思考

匡文波 黄琦翔

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国际新闻界 ›› 2016, Vol. 38 ›› Issue (8) : 134-148.
网络传播研究

大数据热的冷思考

  • 匡文波,中国人民大学新闻学院教授、博士生导师,中国人民大学新闻与社会发展研究中心研究员。电子邮箱:wbkuang@ruc.edu.cn。 黄琦翔,中国人民大学新闻学院博士生,电子邮箱:huangqixiang910@foxmail.com 本文系国家社会科学基金项目《新媒体在“茉莉花革命”中的作用机理研究》(立项批准号:11BXW037)的研究成果。
作者信息 +

Rethinking the Popularity of Big Data

  • KUANG Wenbo is a professor at the School of Journalism and Communication, Renmin University. Email: wbkuang@ruc.edu.cn HUANG Qixiang is a PhD student at the School of Journalism and Communication, Renmin University. Email: huangqixiang910@foxmail.com This article is sponsored by the National Social Science Fund Project: “A research on the function of new media in Jasmine Revolution”. (Project Number: 11BXW037)
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摘要

在互联网技术高速发展的今天,大数据重构传媒行业,是产业当下的热点话题。毫无疑问,大数据将给传媒业带来巨大的经济效益。然而,大数据的发展过程也存在着种种问题和隐患,需要传媒业对它的价值进行重新评估。本文通过分析大数据研究方法的缺陷、用户隐私安全问题以及引起的社会担忧三个方面,对目前传媒业中的大数据热进行冷思考,以为政府、学界、业界对大数据的应用实践提供借鉴。

Abstract

With a rapid development of internet technology, big data has reconstructed media industry, which is one of the hottest topics in the industry nowadays. And big data is bringing media industry substantial economic benefits. However, big data is not omnipotent. It’s struggling with some problems potentially causing some damages to our life, which require scholars and professionals in media industry to rethink its in?uence and value profoundly. This essay analyzes the downsides of big data research method, user privacy and security issues as well as the social worries it has caused. By analyzing the in?uence of big data’s hot trend rationally, this essay has provided references for the practices of government, academia and the industry

关键词

大数据 / 冷思考 / 隐私安全 / 机器人新闻 / 社会歧视

Key words

big data / cold thinking / privacy security / robot news writing / social discrimination

引用本文

导出引用
匡文波 黄琦翔. 大数据热的冷思考. 国际新闻界. 2016, 38(8): 134-148
KUANG Wenbo, HUANG Qixiang. Rethinking the Popularity of Big Data. Chinese Journal of Journalism & Communication. 2016, 38(8): 134-148

参考文献

基金

本文系国家社会科学基金项目《新媒体在“茉莉花革命”中的作用机理研究》(立项批准号:11BXW037)的研究成果。

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