On Facebook, the largest social media platform, news is a common but incidental experience, according to an initiative of Pew Research Center in collaboration with the John S. and James L. Knight Foundation.
Overall, about half of adult Facebook users, 47%, “ever” get news there. That amounts to 30% of the population.
Most U.S. adults do not go to Facebook seeking news out, the nationally representative online survey of 5,173 adults finds. Instead, the vast majority of Facebook news consumers, 78%, get news when they are on Facebook for other reasons. And just 4% say it is the most important way they get news. As one respondent summed it up, “I believe Facebook is a good way to find out news without actually looking for it.”
Title: Computational Journalism: Social Media Visual Analytics for Journalistic Inquiry
Nicholas Diakopoulos (GA Tech, PhD, 2009).
Date/Day: Thursday 4/15/2010
Location: CCB 102
What is the impact that computing can and will have on the changing
landscape of news production and consumption? In this talk I will
introduce Computational Journalism as the application of computing to
the processes of journalism including information gathering,
organization and sensemaking, communication and presentation, and
dissemination and public interaction with news information, all while
upholding values of journalism such as balance, accuracy, and
objectivity. I will then present recent work related to visual and
analytic tools for helping to enhance journalists’ and consumers’
abilities to make sense of public commentary on televised news events
such as debates and speeches. This work suggests opportunities for
computing to enhance both the ability of journalists to leverage
public response to news events, as well as for the public to have more
meaningful experiences when participating in online news commentary
Nicholas Diakopoulos is a Computing Innovation Fellow at the School of
Communication and Information at Rutgers University. He received his
Ph.D. in Computer Science from the School of Interactive Computing at
the Georgia Institute of Technology in 2009. His research interests
span human computer interaction, information visualization, and
multimedia content analysis with themes from media including
journalism, collaborative authorship and annotation, and games.
Statistics Show Social Media Is Bigger Than You Think
August 11, 2009
by Erik Qualman
Is Social Media a Fad or the biggest shift since the Industrial Revolution? Welcome to the Social Media Revolution: