Facebook frequency of visits far exceeds its closest rivals, YouTube, Instagram and Twitter, according to GlobalWebIndex’s Millennial report in late 2016. 53% of Facebook’s Millennial users say they visit more than once a day, while 36% visit YouTube, 33% visit Instagram and 26% visit Twitter on a more-than-once per day basis. Comparatively, 32% visit YouTube daily, and 24% visit Facebook daily.
The Millennials report explores the attitudes and behaviours of Millennials online around the world. Millennials, have unique characteristics in the way they access the Internet, on which devices, the amount of time on which devices and which content. The report also chronicles the degree to which Millennials around the world are willing to pay for content, and what they are willing to pay for. The report explores how Millennials as an age group lead the trend of ad-blocking usage. Millennials also lead all age groups in multitasking on multiple screens, social networking, messaging app engagement, and buying goods and services online.
News Biz Blog will publish a collection of 17 data sets and analysis from the Millennials report, with permission, during the first quarter of 2017. For more information, go to www.globalwebindex.com. For more analysis on global digital media trends, go to World Newsmedia Network, www.wnmn.org, or and WNMN’s blog, http://www.NewsBizBlog.org
Product development and innovations in Artificial Intelligence are the themes of the fifth annual Big Data for Media Week events from 20-24 February 2017 across London, including Thomson Reuters Headquarters in Canary Wharf.
Among the speakers are top executives from IBM Watson, Washington Post, Economist, Telegraph, Dow Jones, New York Times, Agora, Pangaea Alliance, the Guardian, Financial Times, Schibsted and many more.
Programming includes two days of study tours to Bloomberg, Google, Telegraph, the Guardian, IBM Watson and the BBC; the Big Data for Media Idea and Strategy Exchange at the Financial Times, and the two-day Big Data for Media conference, with inspirational case studies, instructional best practices and discussion about new technologies including artificial intelligence (AI), machine learning and predictive analytics.
For information, contact founder and organizer Martha Stone at email@example.com, or go to the website at http://inma.org/modules/event/2017BigDataLondon/agenda.cfm