Pavel Prikhodko, Ph.D. Machine Learning
We are living in the era of digital news. If you follow the news, there is a high likelihood that you receive it through some form of digital media. In this post, we’ll take a look at a few of the main native digital news organizations in the United States.
According to the information published by Statista.com in 2014, the largest digital news organization in the U.S. was Vice, which had an editorial staff (including full-time staff) of 1,100 employees. The Huffington Post employed 575 full-time editorial staff, while the number of people employed by Politico and BuzzFeed amounted to 186 and 170 respectively. Bleacher Report employed 140 editorial staff. Gawker employed 132 people, while Mashable and Business Insider had the same number of full-time editorial staff (70 employees).
Social media has become widely popular and regularly used by journalists across the globe, not only in the U.S. According to the statistics presented by Cision in 2016, around 81 percent of respondents stated that they use social networks such as Facebook, Google+ and Ello for publishing and promoting, while 62 percent said that they use these types of social media for sourcing. Almost 50 percent of the respondents said that they use blogs for promoting, while 48 percent used blogs for sourcing.
Microblogs were the second most popular type of social media for publishing, promoting and sourcing. Thus, 80 percent of the surveyed journalists used Twitter and Snapchat for publishing (53 percent used it for promoting). YouTube as a global video resource was the choice of 50 percent of the respondents for publishing. About 35 percent used YouTube, Instagram and other audio-visual social media for sourcing. Professional networks such as LinkedIn and Xing were used for sourcing by 40 percent of the respondents, while 45 percent of journalists used these professional networks for publishing and promoting.
About Pavel Prikhodko
Pavel Prikhodko, Ph.D. Machine Learning
Pavel has worked for many years as a researcher and developer on a wide range of applications (varying from mechanics and manufacturing to social data, finance and advertising), building predictive systems and trying to find stories that data can tell.
In his free time, he enjoys being with his family.
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