How social media is reshaping news


Monica Anderson And Andrea Caumont at Pew Research Center: “The ever-growing digital native news world now boasts about 5,000 digital news sector jobs, according to our recent calculations, 3,000 of which are at 30 big digital-only news outlets. Many of these digital organizations emphasize the importance of social media in storytelling and engaging their audiences. As journalists gather for the annual Online News Association conference, here are answers to five questions about social media and the news.
1 How do social media sites stack up on news? When you take into account both the total reach of a site (the share of Americans who use it) and the proportion of users who get news on the site, Facebook is the obvious news powerhouse among the social media sites. Roughly two-thirds (64%) of U.S. adults use the site, and half of those users get news there — amounting to 30% of the general population….
2 How do social media users participate in news? Half of social network site users have shared news stories, images or vidoes , and nearly as many  (46%) have discussed a news issue or event. In addition to sharing news on social media, a small number are also covering the news themselves, by posting photos or videos of news events. Pew Research found that in 2014, 14% of social media users posted their own photos of news events to a social networking site, while 12% had posted videos. This practice has played a role in a number of recent breaking news events, including the riots in Ferguson, Mo
3 How do social media users discover news? Facebook is an important source of website referrals for many news outlets, but the users who arrive via Facebook spend far less time and consume far fewer pages than those who arrive directly. The same is true of users arriving by search. Our analysis of comScore data found visitors who go to a news media website directly spend roughly three times as long as those who wind up there through search or Facebook, and they view roughly five times as many pages per month. This higher level of engagement from direct visitors is evident whether a site’s traffic is driven by search or social sharing and it has big implications for news organizations who are experimenting with digital subscriptions while endeavoring to build a loyal audience.
4 What’s the news experience like on Facebook? Our study of news consumption on Facebook found Facebook users are experiencing a relatively diverse array of news stories on the site — roughly half of Facebook users regularly see six different topic areas. The most common news people see is entertainment news: 73% of Facebook users regularly see this kind of content on the site. Unlike Twitter, where a core function is the distribution of information as news breaks, Facebook is not yet a place many turn to for learning about breaking news. …
5 How does social media impact the discussion of news events? Our recent survey revealed social media doesn’t always facilitate conversation around the important issues of the day. In fact, we found people were less willing to discuss their opinion on the Snowden-NSA story on social media than they were in person. And Facebook and Twitter users were less likely to want to share their opinions in many face-to-face settings, especially if they felt their social audience disagreed with them.”

Big Talk about Big Data: Discourses of ‘Evidence’ and Data in British Civil Society


From the Digital Economy “Communities and Culture” Network: “The term ‘Big Data’ carries a great deal of currency in business and academic spheres. Data and their subsequent analysis are obviously not new. ‘Bigness’ in this context often refers to three characteristics that differentiate it from so-called ‘small’ data: volume, variety, and velocity. These three attributes of ‘bigness’, promising to open novel, macro-level perspectives on complex issues (Boyd and Crawford 2011), led enthusiasts like Chris Anderson to claim that ‘with enough data, the numbers speak for themselves”. But is this actually the case? Critical voices like Manovich (2011) argue that data never exist in ‘raw’ forms but are rather influenced by humans who—whether intentionally or not—select and construct them in certain ways.
These debates about data are relevant to wider discussions about digital change in society because they point to a more general concern about the potential of all sizes of data to selectively reveal dimensions of social phenomena on which decisions or policies are based. Crucially, if data generation and analysis is not entirely neutral but rather carries assumptions about what is ‘worthwhile’ or ‘acceptable’ to measure in the first place, then it raises critical questions of whether preferences for certain types of research—particularly work conducted under the auspices of a Big Data ‘brand’—reflect coherent sets of values and worldviews. What assumptions underpin preferences for ‘evidence-based’ research based on data? What qualities does such a phrase signify or confer to research? Which ‘sizes’ of data qualify as ‘evidence’ in the first place, or, to play on Anderson’s words, what kinds of data are allowed to speak for themselves in the realms of policy, media, and advocacy?
Hosted at the ESRC Centre on Migration, Policy, and Society (COMPAS) and The Migration Observatory at the University of Oxford, this project critically interrogates the values that inform demands by civil society organisations for research that is ‘data-driven’ or ‘evidence-based’. Specifically, it aims to document the extent to which perceived advantages of data ‘bigness’ (volume, variety, and velocity) influence these demands.
Read the report.

CityBeat: Visualizing the Social Media Pulse of the City


CityBeat is a an academic research project set to develop an application that sources, monitors and analyzes hyper-local information from multiple social media platforms such as Instagram and Twitter in real time.

This project was led by researchers at the Jacobs Institute at Cornell Tech,  in collaboration with the The New York World (Columbia Journalism School), Rutgers University, NYU, and Columbia University….

If you are interested in the technical details, we have published several papers detailing the process of building CityBeat. Enjoy your read!

Xia C., Schwartz, R., Xie K., Krebs A., Langdon A., Ting J. and Naaman M., CityBeat: Real-time Social Media Visualization of Hyper-local City Data. In Proceedings, WWW 2014, Seoul, Korea, April 2014. [PDF]

Xie K., Xia C., Grinberg N., Schwartz R., and Naaman M., Robust detection of hyper-local events from geotagged social media data. In Proceedings of the 13th Workshop on Multimedia Data Mining in KDD, 2013. [PDF]

Schwartz, R., Naaman M., Matni, Z. (2013) Making Sense of Cities Using Social Media: Requirements for Hyper-Local Data Aggregation Tools. In Proceedings, WCMCW at ICWSM 2013, Boston, USA, July 2013. [PDF]

Can We Build a Safer Internet?


in the New York Times: “We often take it as a given that the Internet is a cruel place, a natural haven for those who seek to harass and threaten others. But to some people, social networks are not mere conduits for our worst impulses. They’re structures whose design can influence how we behave, for good as well as for ill.

Right now, having a social media account can mean facing down a torrent of harassment — including, for some, attacks that are misogynist, racist or both. “Just as you create a space for people to use something in innovative, creative ways, there are also people who will use it for other means,” Moya Bailey, a postdoctoral fellow at Northeastern University who writes about race, gender and media, told Op-Talk. She mentioned Anita Sarkeesian, the video game critic who has faced harassment for critiquing the portrayal of women in games.

“Because she is doing that work, she becomes a target of a lot of violence and hate,” said Ms. Bailey. The rise of online communication is “a gift and a curse always. It’s always both/and.”

And the way we behave online may depend on which site we’re using. Ms. Bailey cites Tumblr as an example. “I think there’s something about Tumblr that is really attractive to social-justice folks, and the kinds of conversations that people have on Tumblr are very different from what’s possible on Facebook,” she explained. “The platforms themselves help shape the kind of content that people post to those different sites.”

The design of those platforms can also determine who sees what we post. Kate Losse, a writer on technology and culture and a former product manager at Facebook, told Op-Talk that Facebook has widened the scope of some of our conversations.

“Pre-Facebook there would be all these different kinds of interactions you might have socially,” she said. “You might talk to one person, you might talk to three people, you might talk to a hundred people. But Facebook’s interesting because you’re always talking to a hundred people when you post, or more.”

“You have to look at something like Facebook as structuring social interactions,” she added. And interacting via what Ms. Losse called “large-scale announcements” can introduce problems. “The Internet is the classic case of tragedy of the commons,” she said. “If something that’s important to me gets viewed by someone across the world, who has no attachment to me, doesn’t care about me at all, doesn’t have any reason to know me or have empathy for me, it’s much easier for that person to do something hateful with the content than to be respectful of it.”

But if platforms can structure our interactions, can they steer us toward kindness rather than toward bile? Batya Friedman, a professor at the University of Washington’s Information School who studies the relationship between technology and human priorities, thinks it’s possible. “Any time people talk to each other,” she told Op-Talk, “we have all kinds of social norms that check how we say things to each other. We give each other social cues, we tell each other when somebody’s starting to go too far.”

The question for designers of online communities, she said, is “how do we either create virtual norms that are comparable, or how do we represent those things so that people are getting those cues, so they modulate their behavior?”…”

From #Ferguson to #OfficerFriendly


at Bloomberg View: “In the tiny town of Jun, Spain, (population: 3,000) meeting rooms in city hall have their own Twitter accounts. When residents want to reserve them, they send a direct message via Twitter; when it’s time, the door to the room unlocks automatically in response to a tweet. Jun’s mayor, Jose Antonio Rodriguez, says he coordinates with other public servants via Twitter. Residents routinely tweet about public services, and city hall answers. Every police officer in Jun has a Twitter handle displayed on his uniform.
Now the New York Police Department, the largest in the U.S., is starting a broad social media initiative to get every precinct talking and listening online via Twitter, to both serve citizens and manage police personnel. The question is whether the kind of positive, highly local responsiveness the residents of Jun expect is possible across all parts of local government — not just from the police — in a big city. If it works, the benefits to the public from this kind of engagement could be enormous.
In the age of Michael Brown’s death in Ferguson, Missouri, and Eric Garner‘s in New York, when police abuses can be easily documented by citizens wielding smartphones, relationships between police departments and the communities they serve can quickly become strained. And social media use by the police runs the risk of being initially dismissed as a publicity stunt. But after decades of losing the trust of important New York City communities, this step may help the department gain civic support.
There will be bumps along the way. Last spring, the NYPD kicked off a social media campaign, asking people to share photos accompanied by the Twitter hashtag #myNYPD. Within 24 hours the hashtag was famous worldwide, as activists posted pictures of clashes between residents and the police. But Commissioner Bill Bratton brushed off the criticism, calling the pictures old news and saying the media event was not going to cause the NYPD to change its plans to be active on social media. “I welcome the attention,” he said.
Bratton will roll out a long list of social media efforts this week. The NYPD is training its dozens of commanding officers to understand and use Twitter on their own, both to ask questions and to respond timely to comments and concerns. For example, police in New York City spend a lot of time looking for missing people; now they will be able to get assistance from eyes on the street…”

Data + Design: A simple introduction to preparing and visualizing information


Open access book by By Trina Chiasson, Dyanna Gregory, and all of these people:(Foreword) Data are all around us and always have been. Everything throughout history has always had the potential to be quantified: theoretically, one could count every human who has ever lived, every heartbeat that has ever beaten, every step that was ever taken, every star that has ever shone, every word that has ever been uttered or written. Each of these collective things can be represented by a number. But only recently have we had the technology to efficiently surface these hidden numbers, leading to greater insight into our human condition.
But what does this mean, exactly? What are the cultural effects of having easy access to data? It means, for one thing, that we all need to be more data literate. It also means we have to be more design literate. As the old adage goes, statistics lie. Well, data visualizations lie, too. How can we learn how to first, effectively read data visualizations; and second, author them in such a way that is ethical and clearly communicates the data’s inherent story?

At the intersection of art and algorithm, data visualization schematically abstracts information to bring about a deeper understanding of the data, wrapping it in an element of awe.

Maria Popova, Stories for the Information Age, Businessweek

My favorite description of data visualization comes from the prolific blogger, Maria Popova, who said that data visualization is “at the intersection of art and algorithm.” To learn about the history of data visualization is to become an armchair cartographer, explorer, and statistician….”
Early visual explorations of data focused mostly on small snippets of data gleaned to expand humanity’s understanding of the geographical world, mainly through maps. Starting with the first recognized world maps of the 13th century, scientists, mathematicians, philosophers, and sailors used math to visualize the invisible. Stars and suns were plotted, coastlines and shipping routes charted. Data visualization, in its native essence, drew the lines, points, and coordinates that gave form to the physical world and our place in it. It answered questions like “Where am I?”, “How do I get there?”, and “How far is it?”

How Local Governments Can Use Instameets to Promote Citizen Engagement


Chris Shattuck at Arc3Communications: “With more than 200 million active monthly users, Instagram reports that it shares more than 20 million photos every day with a combined average of 1.6 billion likes.
Instagram engagement is also more than 15 times that of Facebook with a user base that is predominately young, female and affluent, according to a recent report by L2, a think tank for digital innovation.
Therefore, it’s no wonder that 92 percent of prestige brands prominently incorporate Instagram into their social media strategies, according to the same report.
However, many local governments have been slow to adopt this rapidly maturing platform, even though many of their constituents are already actively using it.
So how can local governments utilize the power of Instagram to promote citizen engagement that is still organic and social?
Creating Instameets to promote local government events, parks, civic landmarks and institutional buildings may be part of that answer.
Once an Instagram meetup community is created for a city any user can suggest a “meet-up” where members get together at a set place, date and time to snap away at a landmark, festival, or other event of note – preferably with a unique hashtag so that photos can be easily shared.
For example, where other marketing efforts to brand the City of Atlanta failed, #weloveatl has become a popular, organic hashtag that crosses cultural and economic boundaries for photographers looking to share their favorite things about Atlanta and benefit the Atlanta Community Food Bank.
And in May, users were able to combine that energy with a worldwide Instameet campaign to photograph Streets Alive Atlanta, a major initiative by the Atlanta Bicycle Coalition.
This organic collaboration provides a unique example for local governments seeking to promote their cities and use Instameets….”

Participatory Budgeting: Ten Actions to Engage Citizens via Social Media


New report by Victoria Gordon for the IBM Center for the Business of Government: “Participatory budgeting is an innovation in direct citizen participation in government decision-making that began 25 years ago in a town in Brazil. It has since spread to 1,000 other cities worldwide and is gaining interest in U.S. cities as well.
Dr. Gordon’s report offers an overview of the state of participatory budgeting, and the potential value of integrating the use of social media into the participatory process design. Her report details three case studies of U.S. communities that have undertaken participatory budgeting initiatives.  While these cases are relatively small in scope, they provide insights into what potential users need to consider if they wanted to develop their own initiatives.
Based on her research and observations, Dr. Gordon recommends ten actions community leaders can take to create the right participatory budgeting infrastructure to increase citizen participation and assess its impact.  A key element in her recommendations is to proactively incorporate social media strategies”

What Is Big Data?


datascience@berkeley Blog: ““Big Data.” It seems like the phrase is everywhere. The term was added to the Oxford English Dictionary in 2013 External link, appeared in Merriam-Webster’s Collegiate Dictionary by 2014 External link, and Gartner’s just-released 2014 Hype Cycle External link shows “Big Data” passing the “Peak of Inflated Expectations” and on its way down into the “Trough of Disillusionment.” Big Data is all the rage. But what does it actually mean?
A commonly repeated definition External link cites the three Vs: volume, velocity, and variety. But others argue that it’s not the size of data that counts, but the tools being used, or the insights that can be drawn from a dataset.
To settle the question once and for all, we asked 40+ thought leaders in publishing, fashion, food, automobiles, medicine, marketing and every industry in between how exactly they would define the phrase “Big Data.” Their answers might surprise you! Take a look below to find out what big data is:

  1. John Akred, Founder and CTO, Silicon Valley Data Science
  2. Philip Ashlock, Chief Architect of Data.gov
  3. Jon Bruner, Editor-at-Large, O’Reilly Media
  4. Reid Bryant, Data Scientist, Brooks Bell
  5. Mike Cavaretta, Data Scientist and Manager, Ford Motor Company
  6. Drew Conway, Head of Data, Project Florida
  7. Rohan Deuskar, CEO and Co-Founder, Stylitics
  8. Amy Escobar, Data Scientist, 2U
  9. Josh Ferguson, Chief Technology Officer, Mode Analytics
  10. John Foreman, Chief Data Scientist, MailChimp

FULL LIST at datascience@berkeley Blog”

Data Mining Reveals How Social Coding Succeeds (And Fails)


Emerging Technology From the arXiv : “Collaborative software development can be hugely successful or fail spectacularly. An analysis of the metadata associated with these projects is teasing apart the difference….
The process of developing software has undergone huge transformation in the last decade or so. One of the key changes has been the evolution of social coding websites, such as GitHub and BitBucket.
These allow anyone to start a collaborative software project that other developers can contribute to on a voluntary basis. Millions of people have used these sites to build software, sometimes with extraordinary success.
Of course, some projects are more successful than others. And that raises an interesting question: what are the differences between successful and unsuccessful projects on these sites?
Today, we get an answer from Yuya Yoshikawa at the Nara Institute of Science and Technology in Japan and a couple of pals at the NTT Laboratories, also in Japan.  These guys have analysed the characteristics of over 300,000 collaborative software projects on GitHub to tease apart the factors that contribute to success. Their results provide the first insights into social coding success from this kind of data mining.
A social coding project begins when a group of developers outline a project and begin work on it. These are the “internal developers” and have the power to update the software in a process known as a “commit”. The number of commits is a measure of the activity on the project.
External developers can follow the progress of the project by “starring” it, a form of bookmarking on GitHub. The number of stars is a measure of the project’s popularity. These external developers can also request changes, such as additional features and so on, in a process known as a pull request.
Yoshikawa and co begin by downloading the data associated with over 300,000 projects from the GitHub website. This includes the number of internal developers, the number of stars a project receives over time and the number of pull requests it gets.
The team then analyse the effectiveness of the project by calculating factors such as the number of commits per internal team member, the popularity of the project over time, the number of pull requests that are fulfilled and so on.
The results provide a fascinating insight into the nature of social coding. Yoshikawa and co say the number of internal developers on a project plays a significant role in its success. “Projects with larger numbers of internal members have higher activity, popularity and sociality,” they say….
Ref: arxiv.org/abs/1408.6012 : Collaboration on Social Media: Analyzing Successful Projects on Social Coding”