Understanding Online News Behaviors

被引：24

作者：

Bentley, Frank ^{[1
]}

Quehl, Katie ^{[1
]}

Wirfs-Brock, Jordan ^{[1
]}

Bica, Melissa ^{[1
]}

机构：

[1] Yahoo Oath, Sunnyvale, CA 94089 USA

来源：

CHI 2019: PROCEEDINGS OF THE 2019 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS | 2019年

关键词：

News; Web Search; Log Analysis; Polarization; Bias; AMERICANS;

D O I：

10.1145/3290605.3300820

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The news landscape has been changing dramatically over the past few years. Whereas news once came from a small set of highly edited sources, now people can find news from thousands of news sites online, through a variety of channels such as web search, social media, email newsletters, or direct browsing. We set out to understand how Americans read news online using web browser logs collected from 174 diverse participants. We found that 20% of all news sessions started with a web search, that 16% started from social media, that 61% of news sessions only involved a single news domain, and that 47% of our participants read news from both sides of the political spectrum. We conclude with key implications for online news, social media, and search sites to encourage more balanced news browsing.

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