不(隐私)新闻就是好消息:2010-2016年《纽约时报》和《卫报》隐私新闻分析

Karthik Sheshadri, Nirav Ajmeri, Jessica Staddon
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引用次数: 8

摘要

隐私新闻影响最终用户的态度和行为以及产品和政策的制定,因此是理解隐私感知的重要数据源。我们提供对隐私新闻的大规模文本挖掘,重点关注情感和关键字的模式。这是一项具有挑战性的任务,因为缺乏隐私信息库和情感的基本真相。使用来自美国和英国两大流行新闻来源——《纽约时报》和《卫报》的高精度数据集,我们发现负面的隐私新闻远比正面的更常见。此外,在《纽约时报》,隐私新闻的报道比许多涉及重大人类苦难的世界事件更为突出。我们的分析提供了丰富的隐私感知驱动因素的快照,并证明新闻促进了隐私知识的系统化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
No (Privacy) News is Good News: An Analysis of New York Times and Guardian Privacy News from 2010–2016
Privacy news influences end-user attitudes and behaviors as well as product and policy development, and so is an important data source for understanding privacy perceptions. We provide a largescale text mining of privacy news, focusing on patterns in sentiment and keywords. This is a challenging task given the lack of a privacy news repository and a ground truth for sentiment. Using high-precision data sets from two popular news sources in the U. S. and U. K., the New York Times and the Guardian, we find negative privacy news is far more common than positive. In addition, in the NYT, privacy news is more prominently reported than many world events involving significant human suffering. Our analysis provides a rich snapshot of this driver of privacy perceptions and demonstrates that news facilitates the systematization of privacy knowledge.
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