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”
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”
Roles, Trust, and Reputation in Social Media Knowledge Markets
New book edited by Bertino, Elisa, and Matei Sorin Adam: This title discusses the emerging trends in defining, measuring, and operationalizing reputation as a new and essential component of the knowledge that is generated and consumed online. The book also proposes a future research agenda related to these issues—with the ultimate goal of shaping the next generation of theoretical and analytic strategies needed for understanding how knowledge markets are influenced by social interactions and reputations built around functional roles.
Roles, Trust, and Reputation in Social Media Knowledge Markets exposes issues that have not been satisfactorily dealt with in the current literature. In a broader sense, the volume aims to change the way in which knowledge generation in social media spaces is understood and utilized. The tools, theories, and methodologies proposed here offer concrete avenues for developing the next generation of research strategies and applications that will help: tomorrow’s information consumers make smarter choices, developers to create new tools, and researchers to launch new research programs….
- Proposes new methods for understanding how opinion leaders and influential authors emerge on social media knowledge markets
- Advances new approaches to theory-based understanding of how social media reputations emerge and shape content and public opinion
- Highlights the most important understudied or promising areas of research regarding reputation and authorship on social media
- Reviews existing accomplishments in the field of reputation research on social media knowledge markets
- Features a multidisciplinary team of authors, covering several disciplines
- Includes both senior, established authors and emerging, innovative voices”
The Fourth Revolution: How the Infosphere is Reshaping Human Reality
New Book by Luciano Florini (Chapter 1 (pdf): “Considers the influence information and communication technologies (ICTs) are having on our world; Describes some of the latest developments in ICTs and their use in a range of fields; Argues that ICTs have become environmental forces that create and transform our realities; Explores the impact of ICTs in a range of areas, from education and scientific research to social interaction, and even war..
Who are we, and how do we relate to each other? Luciano Floridi, one of the leading figures in contemporary philosophy, argues that the explosive developments in Information and Communication Technologies (ICTs) is changing the answer to these fundamental human questions.
As the boundaries between life online and offline break down, and we become seamlessly connected to each other and surrounded by smart, responsive objects, we are all becoming integrated into an “infosphere”. Personas we adopt in social media, for example, feed into our ‘real’ lives so that we begin to live, as Floridi puts in, “onlife”. Following those led by Copernicus, Darwin, and Freud, this metaphysical shift represents nothing less than a fourth revolution.
“Onlife” defines more and more of our daily activity – the way we shop, work, learn, care for our health, entertain ourselves, conduct our relationships; the way we interact with the worlds of law, finance, and politics; even the way we conduct war. In every department of life, ICTs have become environmental forces which are creating and transforming our realities. How can we ensure that we shall reap their benefits? What are the implicit risks? Are our technologies going to enable and empower us, or constrain us? Floridi argues that we must expand our ecological and ethical approach to cover both natural and man-made realities, putting the ‘e’ in an environmentalism that can deal successfully with the new challenges posed by our digital technologies and information society.”
Big Data and Chicago's Traffic-cam Scandal
Holman Jenkins in the Wall Street Journal: “The danger is microscopic regulation that we invite via the democratic process.
Big data techniques are new in the world. It will take time to know how to feel about them and whether and how they should be legally corralled. For sheer inanity, though, there’s no beating a recent White House report quivering about the alleged menace of “digital redlining,” or the use of big-data marketing tactics in ways that supposedly disadvantage minority groups.
This alarm rests on an extravagant misunderstanding. Redlining was a crude method banks used to avoid losses in bad neighborhoods even at the cost of missing some profitable transactions—exactly the inefficiency big data is meant to improve upon. Failing to lure an eligible customer into a sale, after all, is hardly the goal of any business.
The real danger of the new technologies lies elsewhere, which the White House slightly touches upon in some of its fretting about police surveillance. The danger is microscopic regulation of our daily activities that we will invite on ourselves through the democratic process.
Soon it may be impossible to leave our homes without our movements being tracked by traffic and security cameras able to read license plates, identify faces and pull up data about any individual, from social media postings to credit reports.
Private businesses are just starting to use these techniques to monitor shoppers in front of shelves of goodies. Towns and cities have already embraced such techniques as revenue grabs, encouraged by private contractors peddling automated traffic cameras.
Witness a festering Chicago scandal. This month came federal indictments of a former city bureaucrat, an outside consultant, and the former CEO of Redflex Traffic Systems, the company that operated the city’s traffic cameras until last year….”
Follow the money: A study of cashtags on Twitter
Paper by Martin Hentschel and Omar Alonso at FirstMonday: “The popularity of Twitter goes beyond trending topics, world events, memes, and popular hashtags. Recently a new way of sharing financial information is taking place in social media under the name of cashtags, stock ticker symbols that are prefixed with a dollar sign. In this paper we present an exploratory analysis of cashtags on Twitter. Specifically, we investigate how widespread cashtags are, what stock symbols are tweeted more often, and which users tweet about cashtags in general. We analyze relationships among cashtags and study hashtags in the context of cashtags. Finally, we compare tweet performance to stock market performance. We conclude that cashtags, in particular in combination with other cashtags or hashtags, can be very useful for analyzing financial information and provide new insights into stocks and companies.”
The Rise of Virtual Advocacy Groups
at Connectivity: “Ever since the launch of MoveOn in 1998, I have been evaluating the advantages and disadvantages of virtual advocacy groups compared to traditional, brick-and-mortar advocacy groups.
I hypothesized that organizing and working mostly online would allow advocates to escape a conundrum that ensnare those that rent pricey office space. As I have observed over the years, many brick-and-mortar groups dilute the effectiveness of their email programs for advocacy by inserting fundraising appeals into their email stream. As they emerged in the wake of MoveOn, virtual advocacy groups offered a new model of nimble organizations that could focus less on fundraising and more on advocacy.
Marketing guru Seth Godin describes this process as flipping the funnel. Like a funnel, he says traditional organizations ask supporters for self-sustaining money as broadly as they can, but mobilize a very small percent of them to do so. For this trickle of funds, they end up alienating many in the process. Much of the money raised, meanwhile, simply goes towards giving its supporters a megaphone to advocate for the organizations’ causes.
Today, most of an advocacy organization’s supporters already have their own megaphone: social media. So instead of alienating so many supporters with fundraising appeals to buy them a megaphone, Godin says advocacy groups should instead ask supporters to use the megaphones they already have on their behalf. Thus, the funnel is flipped into a megaphone and supporters don’t have to become alienated by excessive fundraising appeals.
This concept is central to any effective social media campaign. And with no rent to pay, virtual organizations should be best positioned to take advantage of the strategy.
In practice, virtual advocacy groups pioneered back in the ‘90s by MoveOn have proven to be more efficient purveyors of their members’ messages. And at the organizations I spoke to for this article, shifting work online has created workplaces that live up to their founders’ values, too.
I reached out to Nita Chaudhary and Kat Barr, the co-executive director and chief of staff of UltraViolet, an advocacy group formed to fight sexism and expand women’s rights in the U.S. I spoke to MomsRising executive director Kristin Row-Finkbeiner, whose group takes on critical issues facing women, mothers and families. I also consulted Joan Blades, co-founder of both MoveOn and MomsRising who currently works for a new start-up called Great Work Cultures, which promotes a variety of new workplace organizational models that are more respectful of employee work-life balances. Both Chaudhary and Barr previously worked at MoveOn.
MoveOn, MomsRising and UltraViolet are not merely virtual advocacy groups, but are three of the most successful advocacy groups in the U.S. with many millions of supporters among them….”
Behavior Analysis in Social Media
Paper by Reza Zafarani and Huan Liu in IEEE Intelligent Systems (Volume 29, Issue 4, 2014): “With the rise of social media, information sharing has been democratized. As a result, users are given opportunities to exhibit different behaviors such as sharing, posting, liking, commenting, and befriending conveniently and on a daily basis. By analyzing behaviors observed on social media, we can categorize these behaviors into individual and collective behavior. Individual behavior is exhibited by a single user, whereas collective behavior is observed when a group of users behave together. For instance, users using the same hashtag on Twitter or migrating to another social media site are examples of collective behavior. User activities on social media generate behavioral data, which is massive, expansive, and indicative of user preferences, interests, opinions, and relationships. This behavioral data provides a new lens through which we can observe and analyze individual and collective behaviors of users.”
Twitter Analytics Now Available To Everyone
Information Week: “All Twitter users can access a detailed report on their followers and individual tweets, including impressions, clicks, and engagement. Here’s what you need to know.
Twitter just made it easier for you to gauge how well your tweets resonate with your followers.
Ian Chan, front-end engineer at Twitter, announced yesterday in a tweet that all users now have access to its analytics platform, which launched in July but was open only to advertisers and verified accounts. The analytics provide details on your tweets’ engagement, clicks, retweets, favorites, replies, and more.
To access the analytics dashboard, log into analytics.twitter.com with your username and password. Analytics are provided to users who have had a Twitter account for at least 14 days, the company said….
Twitter’s analytics dashboard will probably appeal mostly to power users looking to reach more people and improve engagement. The social network does place restrictions on who can access it, however. In addition to the 14-day account requirement, users must primarily tweet in English, French, Japanese, or Spanish, the company said. Your account must also be public.”
In democracy and disaster, emerging world embraces 'open data'
Jeremy Wagstaff’ at Reuters: “Open data’ – the trove of data-sets made publicly available by governments, organizations and businesses – isn’t normally linked to high-wire politics, but just may have saved last month’s Indonesian presidential elections from chaos.
Data is considered open when it’s released for anyone to use and in a format that’s easy for computers to read. The uses are largely commercial, such as the GPS data from U.S.-owned satellites, but data can range from budget numbers and climate and health statistics to bus and rail timetables.
It’s a revolution that’s swept the developed world in recent years as governments and agencies like the World Bank have freed up hundreds of thousands of data-sets for use by anyone who sees a use for them. Data.gov, a U.S. site, lists more than 100,000 data-sets, from food calories to magnetic fields in space.
Consultants McKinsey reckon open data could add up to $3 trillion worth of economic activity a year – from performance ratings that help parents find the best schools to governments saving money by releasing budget data and asking citizens to come up with cost-cutting ideas. All the apps, services and equipment that tap the GPS satellites, for example, generate $96 billion of economic activity each year in the United States alone, according to a 2011 study.
But so far open data has had a limited impact in the developing world, where officials are wary of giving away too much information, and where there’s the issue of just how useful it might be: for most people in emerging countries, property prices and bus schedules aren’t top priorities.
But last month’s election in Indonesia – a contentious face-off between a disgraced general and a furniture-exporter turned reformist – highlighted how powerful open data can be in tandem with a handful of tech-smart programmers, social media savvy and crowdsourcing.
“Open data may well have saved this election,” said Paul Rowland, a Jakarta-based consultant on democracy and governance…”