Mapping the global Twitter heartbeat: The geography of Twitter


A new paper by Kalev Leetaru, Shaowen Wang, Guofeng Cao, Anand Padmanabhan, Eric Shook in First Monday: “In just under seven years, Twitter has grown to count nearly 3% of the entire global population among its active users who have sent more than 170 billion 140-character messages. Today the service plays such a significant role in American culture that the Library of Congress has assembled a permanent archive of the site back to its first tweet, updated daily. With its open API, Twitter has become one of the most popular data sources for social research, yet the majority of the literature has focused on it as a text or network graph source, with only limited efforts to date focusing exclusively on the geography of Twitter, assessing the various sources of geographic information on the service and their accuracy. More than 3% of all tweets are found to have native location information available, while a naive geocoder based on a simple major cities gazetteer and relying on the user-provided Location and Profile fields is able to geolocate more than a third of all tweets with high accuracy when measured against the GPS-based baseline. Geographic proximity is found to play a minimal role both in who users communicate with and what they communicate about, providing evidence that social media is shifting the communicative landscape.”

The Informed Brain in a Digital World


Description of new report from the National Academies: “Digital media provide humans with more access to information than ever before—a computer, tablet, or smartphone can all be used to access data online and users frequently have more than one device. However, as humans continue to venture into the digital frontier, it remains to be known whether access to seemingly unlimited information is actually helping us learn and solve complex problems, or ultimately creating more difficulty and confusion for individuals and societies by offering content overload that is not always meaningful.
Throughout history, technology has changed the way humans interact with the world. Improvements in tools, language, industrial machines, and now digital information technology have shaped our minds and societies. There has always been access to more information than humans can handle, but the difference now lies in the ubiquity of the Internet and digital technology, and the incredible speed with which anyone with a computer can access and participate in seemingly infinite information exchange. Humans now live in a world where mobile digital technology is everywhere, from the classroom and the doctor’s office to public transportation and even the dinner table. This paradigm shift in technology comes with tremendous benefits and risks. Interdisciplinary Research (IDR) Teams at the 2012 National Academies Keck Futures Initiative Conference on The Informed Brain in the Digital World explored common rewards and dangers to Humans among various fields that are being greatly impacted by the Internet and the rapid evolution of digital technology.”
 

How Estonia became E-stonia


Tim Mansel from BBC News: “In some countries, computer programming might be seen as the realm of the nerd.

But not in Estonia, where it is seen as fun, simple and cool.
This northernmost of the three Baltic states, a small corner of the Soviet Union until 1991, is now one of the most internet-dependent countries in the world.
And Estonian schools are teaching children as young as seven how to programme computers….
better known is Skype, an Estonian start-up long since gone global.
Skype was bought by Microsoft in 2011 for a cool $8.5bn, but still employs 450 people at its local headquarters on the outskirts of Tallinn, roughly a quarter of its total workforce. Tiit Paananen, from Skype, says they are passionate about education and that it works closely with Estonian universities and secondary schools….
Estonians today vote online and pay tax online. Their health records are online and, using what President Ilves likes to call a “personal access key” – others refer to it as an ID card – they can pick up prescriptions at the pharmacy. The card offers access to a wide range of other services.
All this will be second nature to the youngest generation of E-stonians. They encounter electronic communication as soon as they enter school through the eKool (e-school) system. Exam marks, homework assignments and attendance in class are all available to parents at the click of a mouse.”

NSF-funded Research on Elections and Cooperation


John Sides @ the Monkey Cage: “Much of politics is about collective action, whereby groups of people need to cooperate in order to produce an outcome.  One of the biggest challenges is getting people to cooperate in providing a public good, which by its nature can be shared by everyone regardless of whether they’ve cooperated in the first place.
One way to enforce cooperation is via some central authority that’s external to the group (like a government).  Another way, prominent in Elinor Ostrom’s work, is via internal policing by peers within the group.
In this NSF-funded study by Guy Grossman and Delia Baldassarri show that a third way can work as well: developing a leadership or authority structure within the group itself.  More importantly, they show that the success of such an authority depends on politics itself.  Leaders need to be elected to induce cooperation.The study was conducted among Ugandans who are members of farmer organizations and experience directly the challenges of cooperating to produce public goods.  Grossman and Baldassarri not only examined how these people behaved when asked to play a simple “public goods game” in a quasi-laboratory setting, but how they actually behaved within their farmer organization in real life.  In both contexts, members cooperated significantly more when leaders were democratically elected—as was true in one experimental condition of the public goods game—or when they perceived the leadership of their farmer organization as more legitimate.
For more in this week’s presentation of NSF-funded research recently published in the American Journal of Political Science, see here, here, and here.]”

Data Edge


Steven Weber, professor in the School of Information and Political Science department at UC Berkeley, in Policy by the Numbers“It’s commonly said that most people overestimate the impact of technology in the short term, and underestimate its impact over the longer term.
Where is Big Data in 2013? Starting to get very real, in our view, and right on the cusp of underestimation in the long term. The short term hype cycle is (thankfully) burning itself out, and the profound changes that data science can and will bring to human life are just now coming into focus. It may be that Data Science is right now about where the Internet itself was in 1993 or so. That’s roughly when it became clear that the World Wide Web was a wind that would blow across just about every sector of the modern economy while transforming foundational things we thought were locked in about human relationships, politics, and social change. It’s becoming a reasonable bet that Data Science is set to do the same—again, and perhaps even more profoundly—over the next decade. Just possibly, more quickly than that….
Can data, no matter how big, change the world for the better? It may be the case that in some fields of human endeavor and behavior, the scientific analysis of big data by itself will create such powerful insights that change will simply have to happen, that businesses will deftly re-organize, that health care will remake itself for efficiency and better outcomes, that people will adopt new behaviors that make them happier, healthier, more prosperous and peaceful. Maybe. But almost everything we know about technology and society across human history argues that it won’t be so straightforward.
…join senior industry and academic leaders at DataEDGE at UC Berkeley on May 30-31 to engage in what will be a lively and important conversation aimed at answering today’s questions about the data science revolution—and formulating tomorrow’s.

Social media, personality traits and civic engagement


New Paper on “Influence of Social Media Use on Discussion Network Heterogeneity and Civic Engagement: The Moderating Role of Personality Traits” in Journal of Communication: “Using original national survey data, we examine how social media use affects individuals’ discussion network heterogeneity and their level of civic engagement. We also investigate the moderating role of personality traits (i.e., extraversion and openness to experiences) in this association. Results support the notion that use of social media contributes to heterogeneity of discussion networks and activities in civic life. More importantly, personality traits such as extraversion and openness to experiences were found to moderate the influence of social media on discussion network heterogeneity and civic participation, indicating that the contributing role of social media in increasing network heterogeneity and civic engagement is greater for introverted and less open individuals.”

Economic effects of open data policy still 'anecdotal'


Adam Mazmanian in FCW:’ A year after the launch of the government’s digital strategy, there’s no official tally of the economic activity generated by the release of government datasets for use in commercial applications.
“We have anecdotal examples, but nothing official yet,” said federal CIO Steven VanRoekel in an invitation-only meeting with reporters at the FOSE conference on May 15. “It’s an area where we have an opportunity to start to talk about this, because it’s starting to tick up a bit, and the numbers are looking pretty good.” (Related story: APIs help agencies say yes)…
The Obama administration is banking on an explosion in the use of federal datasets for commercial and government applications alike. Last week’s executive order and accompanying directive from the Office of Management and Budget tasks agencies with making open and machine readable data the new default setting for government information.
VanRoekel said that the merits of the open data standard don’t necessarily need to be justified by economic activity….
The executive order also spells out privacy concerns arising from the so-called “mosaic effect,’ by which information from disparate datasets can be overlaid to decipher personally identifiable information.”

When the Crowd Fights Corruption


New Harvard Business School Research Paper by Paul Healy and Karthik Ramanna  (Harvard Business Review): “Corruption is the greatest impediment to conducting business in Russia, according to leaders recently surveyed by the World Economic Forum. Indeed, it’s a problem in many emerging markets, and businesses have a role to play in combating it, according to Healy and Ramanna. The authors focus on RosPil — an anticorruption entity in Russia set up by Alexey Navalny, a crusader against public and private malfeasance in that country. As of December 2011, RosPil claimed to have prevented the granting of dubious contracts worth US$1.3 billion. The organization holds corrupt politicians’ and bureaucrats’ feet to the fire largely through internet-based crowdsourcing, whereby often-anonymous people identify requests for government-issued tenders that are designed to generate kickbacks. Should entities like RosPil be supported, and should companies fashion their own responses to corruption? On the one hand, there are obvious public-relations and political risks; on the other hand, corruption can erode a firm’s competitiveness, the trust of customers and employees, and even the very legitimacy of capitalism. The authors argue that heads of many multinational companies are well positioned to combat corruption in emerging markets. Those leaders have the power to enforce policies in their organizations and networks, and they enjoy the ability to organize others in the industry against this pernicious threat.”

Technology and Economic Prosperity


EDUARDO PORTER in The New York Times: “The impact of a technological innovation depends on how deeply it embeds itself in everything we do.
Earlier this month, a couple of economists at the Harvard Business School and the Toulouse School of Economics in France produced a paper asking “If Technology Has Arrived Everywhere, Why Has Income Diverged?” Economic prosperity, they noted, is ultimately driven by technological innovation. So if technologies today spread much more quickly than they used to from rich to poor countries, how come the income divide between rich and poor nations remains so large?
It took 119 years, on average, for the spindle to spread outside of Europe to the poorer reaches of the late-18th-century world, according to the authors. The Internet encircled the globe in seven. One might expect that this would have helped developing countries catch up with the richest nations at the frontier of technology
The reason that this did not happen, the authors propose, is that despite spreading faster, new technologies have not embedded themselves as deeply, measured by their prevalence, relative to the size of the economy. “The divergence in the degree of assimilation of technologies started about 100 years ago,” observed Diego Comin of Harvard Business School, one of the authors.”