Handbook of Digital Politics


Book edited by Stephen Coleman: “Politics continues to evolve in the digital era, spurred in part by the accelerating pace of technological development. This cutting-edge Handbook includes the very latest research on the relationship between digital information, communication technologies and politics.

Written by leading scholars in the field, the chapters explore in seven parts: theories of digital politics, government and policy, collective action and civic engagement, political talk, journalism, internet governance and new frontiers in digital politics research. The contributors focus on the politics behind the implementation of digital technologies in society today.

All students in the fields of politics, media and communication studies, journalism, science and sociology will find this book to be a useful resource in their studies. Political practitioners seeking digital strategies, as well as web and other digital practitioners wanting to know more about political applications for their work will also find this book to be of interest….(More)”

Testing governance: the laboratory lives and methods of policy innovation labs


Ben Williamson at Code Acts in Education: “Digital technologies are increasingly playing a significant role in techniques of governance in sectors such as education as well as healthcare, urban management, and in government innovation and citizen engagement in government services. But these technologies need to be sponsored and advocated by particular individuals and groups before they are embedded in these settings.

Testing governance cover

I have produced a working paper entitled Testing governance: the laboratory lives and methods of policy innovation labs which examines the role of innovation labs as sponsors of new digital technologies of governance. By combining resources and practices from politics, data analysis, media, design, and digital innovation, labs act as experimental R&D labs and practical ideas organizations for solving social and public problems, located in the borderlands between sectors, fields and disciplinary methodologies. Labs are making methods such as data analytics, design thinking and experimentation into a powerful set of governing resources.They are, in other words, making digital methods into key techniques for understanding social and public issues, and in the creation and circulation of solutions to the problems of contemporary governance–in education and elsewhere.

The working paper analyses the key methods and messages of the labs field, in particular by investigating the documentary history of Futurelab, a prototypical lab for education research and innovation that operated in Bristol, UK, between 2002 and 2010, and tracing methodological continuities through the current wave of lab development. Centrally, the working paper explores Futurelab’s contribution to the production and stabilization of a ‘sociotechnical imaginary’ of the future of education specifically, and to the future of public services more generally. It offers some preliminary analysis of how such an imaginary was embedded in the ‘laboratory life’ of Futurelab, established through its organizational networks, and operationalized in its digital methods of research and development as well as its modes of communication….(More)”

In post-earthquake Nepal, open data accountability


Deepa Rai at the Worldbank blog: “….Following the earthquake, there was an overwhelming response from technocrats and data crunchers to use data visualizations for disaster risk assessment. The Government of Nepal made datasets available through its Disaster Data Portal and many organizations and individuals also pitched in and produced visual data platforms.
However, the use of open data has not been limited to disaster response. It was, and still is, instrumental in tracking how much funding has been received and how it’s being allocated. Through the use of open data, people can make their own analysis based on the information provided online.

Direct Relief, a not-for-profit company, has collected such information and helped gathered data from the Prime Minister’s relief fund and then created infographics which have been useful for media and immediate distribution on social platforms. MapJournal’s visual maps became vital during the Post Disaster Needs Assessment (PDNA) to assess and map areas where relief and reconstruction efforts were urgently needed.

Direct Relief Medical Relief partner locations
Direct Relief medical relief partner locations in context of population affected and injuries by district
Photo Credit: Data Relief Services

Open data and accountability
However, the work of open data doesn’t end with relief distribution and disaster risk assessment. It is also hugely impactful in keeping track of how relief money is pledged, allocated, and spent. One such web application,openenet.net is making this possible by aggregating post disaster funding data from international and national sources into infographics. “The objective of the system,” reads the website “is to ensure transparency and accountability of relief funds and resources to ensure that it reaches to targeted beneficiaries. We believe that transparency of funds in an open and accessible manner within a central platform is perhaps the first step to ensure effective mobilization of available resources.”
Four months after the earthquake, Nepali media have already started to report on aid spending — or the lack of it. This has been made possible by the use of open data from the Ministry of Home Affairs (MoHA) and illustrates how critical data is for the effective use of aid money.
Open data platforms emerging after the quakes have been crucial in questioning the accountability of aid provisions and ultimately resulting in more successful development outcomes….(More)”

Beyond the Quantified Self: Thematic exploration of a dataistic paradigm


Minna Ruckenstein and Mika Pantzar in New Media and Society: “This article investigates the metaphor of the Quantified Self (QS) as it is presented in the magazine Wired (2008–2012). Four interrelated themes—transparency, optimization, feedback loop, and biohacking—are identified as formative in defining a new numerical self and promoting a dataist paradigm. Wired captures certain interests and desires with the QS metaphor, while ignoring and downplaying others, suggesting that the QS positions self-tracking devices and applications as interfaces that energize technological engagements, thereby pushing us to rethink life in a data-driven manner. The thematic analysis of the QS is treated as a schematic aid for raising critical questions about self-quantification, for instance, detecting the merging of epistemological claims, technological devices, and market-making efforts. From this perspective, another definition of the QS emerges: a knowledge system that remains flexible in its aims and can be used as a resource for epistemological inquiry and in the formation of alternative paradigms….(More)”

The deception that lurks in our data-driven world


Alexis C. Madrigal at Fusion: “…There’s this amazing book called Seeing Like a State, which shows how governments and other big institutions try to reduce the vast complexity of the world into a series of statistics that their leaders use to try to comprehend what’s happening.

The author, James C. Scott, opens the book with an extended anecdote about the Normalbaum. In the second half of the 18th century, Prussian rulers wanted to know how many “natural resources” they had in the tangled woods of the country. So, they started counting. And they came up with these huge tables that would let them calculate how many board-feet of wood they could pull from a given plot of forest. All the rest of the forest, everything it did for the people and the animals and general ecology of the place was discarded from the analysis.

The world proved too unruly. Their data wasn’t perfect.

But the world proved too unruly. Their data wasn’t perfect. So they started creating new forests, the Normalbaum, planting all the trees at the same time, and monoculturing them so that there were no trees in the forest that couldn’t be monetized for wood. “The fact is that forest science and geometry, backed by state power, had the capacity to transform the real, diverse, and chaotic old-growth forest into a new, more uniform forest that closely resembled the administrative grid of its techniques,” Scott wrote.

normal forrest plan

The spreadsheet became the world! They even planted the trees in rows, like a grid.

German foresters got very scientific with their fertilizer applications and management practices. And the scheme really worked—at least for a hundred years. Pretty much everyone across the world adopted their methods.

Then the forests started dying.

“In the German case, the negative biological and ultimately commercial consequences of the stripped-down forest became painfully obvious only after the second rotation of conifers had been planted,” Scott wrote.

The complex ecosystem that underpinned the growth of these trees through generations—all the microbial and inter-species relationships—were torn apart by the rigor of the Normalbaum. The nutrient cycles were broken. Resilience was lost. The hidden underpinnings of the world were revealed only when they were gone. The Germans, like they do, came up with a new word for what happened: Waldsterben, or forest death.

The hidden underpinnings of the world were revealed only when they were gone.

Sometimes, when I look out at our world—at the highest level—in which thin data have come to stand in for huge complex systems of human and biological relationships, I wonder if we’re currently deep in the Normalbaum phase of things, awaiting the moment when Waldsterbensets in.

Take the ad-supported digital media ecosystem. The idea is brilliant: capture data on people all over the web and then use what you know to show them relevant ads, ads they want to see. Not only that, but because it’s all tracked, unlike broadcast or print media, an advertiser can measure what they’re getting more precisely. And certainly the digital advertising market has grown, taking share from most other forms of media. The spreadsheet makes a ton of sense—which is one reason for the growth predictions that underpin the massive valuations of new media companies.

But scratch the surface, like Businessweek recently did, and the problems are obvious. A large percentage of the traffic to many stories and videos consists of software pretending to be human.

“The art is making the fake traffic look real, often by sprucing up websites with just enough content to make them appear authentic,” Businessweek says. “Programmatic ad-buying systems don’t necessarily differentiate between real users and bots, or between websites with fresh, original work, and Potemkin sites camouflaged with stock photos and cut-and-paste articles.”

Of course, that’s not what high-end media players are doing. But the cheap programmatic ads, fueled by fake traffic, drive down the pricesacross the digital media industry, making it harder to support good journalism. Meanwhile, users of many sites are rebelling against the business model by installing ad blockers.

The advertisers and ad-tech firms just wanted to capture user data to show them relevant ads. They just wanted to measure their ads more effectively. But placed into the real-world, the system that grew up around these desires has reshaped the media landscape in unpredictable ways.

We’ve deceived ourselves into thinking data is a camera, but it’s really an engine. Capturing data about something changes the way that something works. Even the mere collection of stats is not a neutral act, but a way of reshaping the thing itself….(More)”

Governments’ Self-Disruption Challenge


Mohamed A. El-Erian at Project Syndicate: “One of the most difficult challenges facing Western governments today is to enable and channel the transformative – and, for individuals and companies, self-empowering – forces of technological innovation. They will not succeed unless they become more open to creative destruction, allowing not only tools and procedures, but also mindsets, to be revamped and upgraded. The longer it takes them to meet this challenge, the bigger the lost opportunities for current and future generations.
Self-empowering technological innovation is all around us, affecting a growing number of people, sectors, and activities worldwide. Through an ever-increasing number of platforms, it is now easier than ever for households and corporations to access and engage in an expanding range of activities – from urban transportation to accommodation, entertainment, and media. Even the regulation-reinforced, fortress-like walls that have traditionally surrounded finance and medicine are being eroded.

…In fact, Western political and economic structures are, in some ways, specifically designed to resist deep and rapid change, if only to prevent temporary and reversible fluctuations from having an undue influence on underlying systems. This works well when politics and economies are operating in cyclical mode, as they usually have been in the West. But when major structural and secular challenges arise, as is the case today, the advanced countries’ institutional architecture acts as a major obstacle to effective action….Against this background, a rapid and comprehensive transformation is clearly not feasible. (In fact, it may not even be desirable, given the possibility of collateral damage and unintended consequences.) The best option for Western governments is thus to pursue gradual change, propelled by a variety of adaptive instruments, which would reach a critical mass over time.
Such tools include well-designed public-private partnerships, especially when it comes to modernizing infrastructure; disruptive outside advisers – selected not for what they think, but for how they think – in the government decision-making process; mechanisms to strengthen inter-agency coordination so that it enhances, rather than retards, policy responsiveness; and broader cross-border private-sector linkages to enhance multilateral coordination.
How economies function is changing, as relative power shifts from established, centralized forces toward those that respond to the unprecedented empowerment of individuals. If governments are to overcome the challenges they face and maximize the benefits of this shift for their societies, they need to be a lot more open to self-disruption. Otherwise, the transformative forces will leave them and their citizens behind….(More)”

Big Data and Mass Shootings


Holman W. Jenkins in the Wall Street Journal: “As always, the dots are connected after the fact, when the connecting is easy. …The day may be coming, sooner than we think, when such incidents can be stopped before they get started. A software program alerts police to a social-media posting by an individual of interest in their jurisdiction. An algorithm reminds them why the individual had become a person of interest—a history of mental illness, an episode involving a neighbor. Months earlier, discreet inquires by police had revealed an unhealthy obsession with weapons—key word, unhealthy. There’s no reason why gun owners, range operators and firearms dealers shouldn’t be a source of information for local police seeking information about who might merit special attention.

Sound scary? Big data exists to find the signal among the noise. Your data is the noise. It’s what computerized systems seek to disregard in their quest for information that actually would be useful to act on. Big data is interested in needles, not hay.

Still don’t trust the government? You’re barking up an outdated tree. Consider the absurdly ancillary debate last year on whether the government should be allowed to hold telephone “metadata” when the government already holds vastly more sensitive data on all of us in the form of tax, medical, legal and census records.

All this seems doubly silly given the spacious information about each of us contained in private databases, freely bought and sold by marketers. Bizarre is the idea that Facebook should be able to use our voluntary Facebook postings to decide what we might like to buy, but police shouldn’t use the same information to prevent crime.

Hitachi, the big Japanese company, began testing its crime-prediction software in several unnamed American cities this month. The project, called Hitachi Visualization Predictive Crime Analytics, culls crime records, map and transit data, weather reports, social media and other sources for patterns that might otherwise go unnoticed by police.

Colorado-based Intrado, working with LexisNexis and Motorola Solutions, already sells police a service that instantly scans legal, business and social-media records for information about persons and circumstances that officers may encounter when responding to a 911 call at a specific address. Hundreds of public safety agencies find the system invaluable though that didn’t stop the city of Bellingham, Wash., from rejecting it last year on the odd grounds that such software must be guilty of racial profiling.

Big data is changing how police allocate resources and go about fighting crime. …It once was freely asserted that police weren’t supposed to prevent crime, only solve it. But recent research shows investment in policing actually does reduce crime rates—and produces a large positive return measured in dollars and cents. A day will come when failing to connect the dots in advance of a mass-shooting won’t be a matter for upturned hands. It will be a matter for serious recrimination…(More)

We Need Both Networks and Communities


Henry Mintzberg at HBR: “If you want to understand the difference between a network and a community, ask your Facebook friends to help paint your house.

Social media certainly connects us to whoever is on the other end of the line, and so extends our social networks in amazing ways. But this can come at the expense of deeper personal relationships. When it feels like we’re up-to-date on our friends’ lives through Facebook or Instagram, we may become less likely to call them, much less meet up. Networks connect; communities care.

….A century or two ago, the word community “seemed to connote a specific group of people, from a particular patch of earth, who knew and judged and kept an eye on one another, who shared habits and history and memories, and could at times be persuaded to act as a whole on behalf of a part.” In contrast,the word has now become fashionable to describe what are really networks, as in the “business community”—”people with common interests [but] not common values, history, or memory.”

Does this matter for managing in the digital age, even for dealing with our global problems? It sure does. In a 2012 New York Times column, Thomas Friedman reported asking an Egyptian friend about the protest movements in that country: “Facebook really helped people to communicate, but not to collaborate,” he replied. Friedman added that “at their worst, [social media sites] can become addictive substitutes for real action.” That is why, while the larger social movements, as in Cairo’s Tahrir Square or on Wall Street, may raise consciousness about the need for renewal in society, it is the smaller social initiatives, usually developed by small groups in communities, that do much of the renewing….

We tend to make a great fuss about leadership these days, but communityship is more important. The great leaders create, enhance, and support a sense of community in their organizations, and that requires hands-on management. Hence managers have get beyond their individual leadership, to recognize the collective nature of effective enterprise.

Especially for operating around the globe, electronic communication has become essential. But the heart of enterprise remains rooted in personal collaborative relationships, albeit networked by the new information technologies. Thus, in localities and organizations, across societies and around the globe, beware of “networked individualism“ where people communicate readily while struggling to collaborate.

The new digital technologies, wonderful as they are in enhancing communication, can have a negative effect on collaboration unless they are carefully managed. An electronic device puts us in touch with a keyboard, that’s all….(More)”

A new model to explore non-profit social media use for advocacy and civic engagement


David Chapman, Katrina Miller-Stevens, John C Morris, and Brendan O’Hallarn in First Monday: “In an age when electronic communication is ubiquitous, non-profit organizations are actively using social media platforms as a way to deliver information to end users. In spite of the broad use of these platforms, little scholarship has focused on the internal processes these organizations employ to implement these tools. A limited number of studies offer models to help explain an organization’s use of social media from initiation to outcomes, yet few studies address a non-profit organization’s mission as the driver to employ social media strategies and tactics. Furthermore, the effectiveness of social media use is difficult for non-profit organizations to measure. Studies that attempt to address this question have done so by viewing social media platform analytics (e.g., Facebook analytics) or analyzing written content by users of social media (Nah and Saxton, 2013; Auger, 2013; Uzunoğlu and Misci Kip, 2014; or Guo and Saxton, 2014). The value added of this study is to present a model for practice (Weil, 1997) that explores social media use and its challenges from a non-profit organization’s mission through its desired outcome, in this case an outcome of advocacy and civic engagement.

We focus on one non-profit organization, Blue Star Families, that actively engages in advocacy and civic engagement. Blue Star Families was formed in 2009 to “raise the awareness of the challenges of military family life with our civilian communities and leaders” (Blue Star Families, 2010). Blue Star Families is a virtual organization with no physical office location. Thus, the organization relies on its Web presence and social media tools to advocate for military families and engage service members and their families, communities, and citizens in civic engagement activities (Blue Star Families, 2010).

The study aims to provide organizational-level insights of the successes and challenges of working in the social media environment. Specifically, the study asks: What are the processes non-profit organizations follow to link organizational mission to outcomes when using social media platforms? What are the successes and challenges of using social media platforms for advocacy and civic engagement purposes? In our effort to answer these questions, we present a new model to explore non-profit organizations’ use of social media platforms by building on previous models and frameworks developed to explore the use of social media in the public, private, and non-profit sectors.

This research is important for three reasons. First, most previous studies of social media tend to employ models that focus on the satisfaction of the social media tools for organizational members, rather than the utility of social media as a tool to meet organizational goals. Our research offers a means to explore the utility of social media from an organization perspective. Second, the exemplar case for our research, Blue Star Families, Inc., is a non-profit organization whose mission is to create and nurture a virtual community spread over a large geographical — if not global — area. Because Blue Star Families was founded as an online organization that could not exist without social media, it provides a case for which social media is a critical component of the organization’s activity. Finally, we offer some “lessons learned” from our case to identify issues for other organizations seeking to create a significant social media presence.

This paper is organized as follows: first, the growth of social media is briefly addressed to provide background context. Second, previous models and frameworks exploring social media are discussed. This is followed by a presentation of a new model exploring the use of social media from an organizational perspective, starting with the driver of a non-profit organization’s mission, to its desired outcomes of advocacy and civic engagement. Third, the case study methodology is explained. Next, we present an analysis and discussion applying the new model to Blue Star Families’ use of social media platforms. We conclude by discussing the challenges of social media revealed in the case study analysis, and we offer recommendations to address these challenges….(More)”

The Quantified Community and Neighborhood Labs: A Framework for Computational Urban Planning and Civic Technology Innovation


Constantine E. Kontokosta: “This paper presents the conceptual framework and justification for a “Quantified Community” (QC) and a networked experimental environment of neighborhood labs. The QC is a fully instrumented urban neighborhood that uses an integrated, expandable, and participatory sensor network to support the measurement, integration, and analysis of neighborhood conditions, social interactions and behavior, and sustainability metrics to support public decision-making. Through a diverse range of sensor and automation technologies — combined with existing data generated through administrative records, surveys, social media, and mobile sensors — information on human, physical, and environmental elements can be processed in real-time to better understand the interaction and effects of the built environment on human well-being and outcomes. The goal is to create an “informatics overlay” that can be incorporated into future urban development and planning that supports the benchmarking and evaluation of neighborhood conditions, provides a test-bed for measuring the impact of new technologies and policies, and responds to the changing needs and preferences of the local community….(More)”