The Logic of Connective Action- Digital Media and the Personalization of Contentious Politics


New book by W. Lance Bennett and Alexandra Segerberg: “The Logic of Connective Action explains the rise of a personalized digitally networked politics in which diverse individuals address the common problems of our times such as economic fairness and climate change. Rich case studies from the United States, United Kingdom, and Germany illustrate a theoretical framework for understanding how large-scale connective action is coordinated using inclusive discourses such as “We Are the 99%” that travel easily through social media. In many of these mobilizations, communication operates as an organizational process that may replace or supplement familiar forms of collective action based on organizational resource mobilization, leadership, and collective action framing. In some cases, connective action emerges from crowds that shun leaders, as when Occupy protesters created media networks to channel resources and create loose ties among dispersed physical groups. In other cases, conventional political organizations deploy personalized communication logics to enable large-scale engagement with a variety of political causes. The Logic of Connective Action shows how power is organized in communication-based networks, and what political outcomes may result.”

Manipulation Among the Arbiters of Collective Intelligence: How Wikipedia Administrators Mold Public Opinion


New paper by Sanmay Das, Allen Lavoie, and Malik Magdon-Ismail: “Our reliance on networked, collectively built information is a vulnerability when the quality or reliability of this information is poor. Wikipedia, one such collectively built information source, is often our first stop for information on all kinds of topics; its quality has stood up to many tests, and it prides itself on having a “Neutral Point of View”. Enforcement of neutrality is in the hands of comparatively few, powerful administrators. We find a surprisingly large number of editors who change their behavior and begin focusing more on a particular controversial topic once they are promoted to administrator status. The conscious and unconscious biases of these few, but powerful, administrators may be shaping the information on many of the most sensitive topics on Wikipedia; some may even be explicitly infiltrating the ranks of administrators in order to promote their own points of view. Neither prior history nor vote counts during an administrator’s election can identify those editors most likely to change their behavior in this suspicious manner. We find that an alternative measure, which gives more weight to influential voters, can successfully reject these suspicious candidates. This has important implications for how we harness collective intelligence: even if wisdom exists in a collective opinion (like a vote), that signal can be lost unless we carefully distinguish the true expert voter from the noisy or manipulative voter.”

The Participatory Turn: Participatory Budgeting Comes to America


Thesis by Hollie Russon Gilman: “Participatory Budgeting (PB) has expanded to over 1,500 municipalities worldwide since its inception in Porto Alege, Brazil in 1989 by the leftist Partido dos Trabalhadores (Workers’ Party). While PB has been adopted throughout the world, it has yet to take hold in the United States. This dissertation examines the introduction of PB to the United States with the first project in Chicago in 2009, and proceeds with an in-depth case study of the largest implementation of PB in the United States: Participatory Budgeting in New York City. I assess the outputs of PB in the United States including deliberations, governance, and participation. I argue that PB produces better outcomes than the status quo budget process in New York City, while also transforming how those who participate understand themselves as citizens, constituents, Council members, civil society leaders and community stakeholders. However, there are serious challenges to participation, including high costs of engagement, process exhaustion, and perils of scalability. I devise a framework for assessment called “citizenly politics,” focusing on: 1) designing participation 2) deliberation 3) participation and 4) potential for institutionalization. I argue that while the material results PB produces are relatively modest, including more innovative projects, PB delivers more substantial non-material or existential results. Existential citizenly rewards include: greater civic knowledge, strengthened relationships with elected officials, and greater community inclusion. Overall, PB provides a viable and informative democratic innovation for strengthening civic engagement within the United States that can be streamlined and adopted to scale.”

Five myths about big data


Samuel Arbesman, senior scholar at the Ewing Marion Kauffman Foundation and the author of “The Half-Life of Facts” in the Washington Post: “Big data holds the promise of harnessing huge amounts of information to help us better understand the world. But when talking about big data, there’s a tendency to fall into hyperbole. It is what compels contrarians to write such tweets as “Big Data, n.: the belief that any sufficiently large pile of s— contains a pony.” Let’s deflate the hype.
1. “Big data” has a clear definition.
The term “big data” has been in circulation since at least the 1990s, when it is believed to have originated in Silicon Valley. IBM offers a seemingly simple definition: Big data is characterized by the four V’s of volume, variety, velocity and veracity. But the term is thrown around so often, in so many contexts — science, marketing, politics, sports — that its meaning has become vague and ambiguous….
2. Big data is new.
By many accounts, big data exploded onto the scene quite recently. “If wonks were fashionistas, big data would be this season’s hot new color,” a Reuters report quipped last year. In a May 2011 report, the McKinsey Global Institute declared big data “the next frontier for innovation, competition, and productivity.”
It’s true that today we can mine massive amounts of data — textual, social, scientific and otherwise — using complex algorithms and computer power. But big data has been around for a long time. It’s just that exhaustive datasets were more exhausting to compile and study in the days when “computer” meant a person who performed calculations….
3. Big data is revolutionary.
In their new book, “Big Data: A Revolution That Will Transform How We Live, Work, and Think,”Viktor Mayer-Schonberger and Kenneth Cukier compare “the current data deluge” to the transformation brought about by the Gutenberg printing press.
If you want more precise advertising directed toward you, then yes, big data is revolutionary. Generally, though, it’s likely to have a modest and gradual impact on our lives….
4. Bigger data is better.
In science, some admittedly mind-blowing big-data analyses are being done. In business, companies are being told to “embrace big data before your competitors do.” But big data is not automatically better.
Really big datasets can be a mess. Unless researchers and analysts can reduce the number of variables and make the data more manageable, they get quantity without a whole lot of quality. Give me some quality medium data over bad big data any day…
5. Big data means the end of scientific theories.
Chris Anderson argued in a 2008 Wired essay that big data renders the scientific method obsolete: Throw enough data at an advanced machine-learning technique, and all the correlations and relationships will simply jump out. We’ll understand everything.
But you can’t just go fishing for correlations and hope they will explain the world. If you’re not careful, you’ll end up with spurious correlations. Even more important, to contend with the “why” of things, we still need ideas, hypotheses and theories. If you don’t have good questions, your results can be silly and meaningless.
Having more data won’t substitute for thinking hard, recognizing anomalies and exploring deep truths.”

Improved Governance? Exploring the Results of Peru's Participatory Budgeting Process


Paper by Stephanie McNulty for the 2013 Annual Meeting of the American Political Science Association (Aug. 29-Sept. 1, 2013): “Can a nationally mandated participatory budget process change the nature of local governance? Passed in 2003 to mandate participatory budgeting in all districts and regions of Peru, Peru’s National PB Law has garnered international attention from proponents of participatory governance. However, to date, the results of the process have not been widely documented. Presenting data that have been gathered through fieldwork, online databases, and primary documents, this paper explores the results of Peru’s PB after ten years of implementation. The paper finds that results are limited. While there are a significant number of actors engaged in the process, the PB is still dominated by elite actors that do not represent the diversity of the civil society sector in Peru. Participants approve important “pro-poor” projects, but they are not always executed. Finally, two important indicators of governance, sub-national conflict and trust in local institutions, have not improved over time. Until Peruvian politicians make a concerted effort to move beyond politics as usual, results will continue to be limited” 

From Machinery to Mobility: Government and Democracy in a Participative Age


From Machinery to Mobility

New book by Jeffrey Roy: “The Westminster-stylized model of Parliamentary democratic politics and public service accountability is increasingly out of step with the realities of today’s digitally and socially networked era. This book explores the reconfiguration of democratic and managerial governance within democratic societies due to the advent of technological mobility. More specifically, the traditional public sector prism of organizational and accountability – denoted as ‘machinery of government’, is increasingly strained in an era characterized by smart devices, social media, and cloud computing. This book examines the roots and implications of the tensions between machinery and mobility and the sorts of investments and initiatives that have been undertaken by governments around the world as well as their appropriateness and relative impacts. This book also examines the prospects for holistic adaptation of democratic and managerial systems going forward, identifying the most crucial directions and determinants for improving public sector performance in terms of outcomes, accountability, and agility. Accordingly, the ultimate aim of this initiative is to contribute to the formation of intellectual foundations for more systemic reforms of public sector governance in Canada and elsewhere, and to offer forward-looking trajectories for government adaptation in shifting from a traditional prism of ‘machinery’ to new organizational and institutional arrangements better suited for an era of ‘mobility’.”

We the People Update


Washington Post: “The White House launched the We The People petition site in 2011 as a way for Americans to get their government to respond to their calls for action. On the digital platform, people can create and sign petitions seeking specific action on an issue from the federal government. In theory, once a petition has garnered a certain number of signatures within a certain time frame, it is reviewed by White House staff and receives an official response.
But that’s not always what happens.
Now a new site, www.whpetitions.info, takes its own tally and highlights petitions that have received enough signatures but have not received responses. By its count, the White House has responded to 87 percent of petitions that have met their signature thresholds with an average response time of 61 days. But the average waiting time so far for the 30 unanswered petitions is 240 days. And six of them have been waiting for over a year.”

Behold: A Digital Bill of Rights for the Internet, by the Internet


Mashable: “The digital rights conversation was thrust into the mainstream spotlight after news of ongoing, widespread mass surveillance programs leaked to the public. Always a hot topic, these revelations sparked a strong online debate among the Internet community.
It also made us here at Mashable reflect on the digital freedoms and protections we feel each user should be guaranteed as a citizen of the Internet. To highlight some of the great conversations taking place about digital rights online, we asked the digital community to collaborate with us on the creation of a crowdsourced Digital Bill of Rights.
After six weeks of public discussions, document updates and changes, as well as incorporating input from digital rights experts, Mashable is pleased to unveil its first-ever Digital Bill of Rights, made for the Internet, by the Internet.”
 

I Flirt and Tweet. Follow Me at #Socialbot.


in The New York Times: “FROM the earliest days of the Internet, robotic programs, or bots, have been trying to pass themselves off as human. Chatbots greet users when they enter an online chat room, for example, or kick them out when they get obnoxious….

Now come socialbots. These automated charlatans are programmed to tweet and retweet. They have quirks, life histories and the gift of gab. Many of them have built-in databases of current events, so they can piece together phrases that seem relevant to their target audience. They have sleep-wake cycles so their fakery is more convincing, making them less prone to repetitive patterns that flag them as mere programs. Some have even been souped up by so-called persona management software, which makes them seem more real by adding matching Facebook, Reddit or Foursquare accounts, giving them an online footprint over time as they amass friends and like-minded followers.

Researchers say this new breed of bots is being designed not just with greater sophistication but also with grander goals: to sway elections, to influence the stock market, to attack governments, even to flirt with people and one another.

…Socialbots are tapping into an ever-expanding universe of social media. Last year, the number of Twitter accounts topped 500 million. Some researchers estimate that only 35 percent of the average Twitter user’s followers are real people. In fact, more than half of Internet traffic already comes from nonhuman sources like bots or other types of algorithms. Within two years, about 10 percent of the activity occurring on social online networks will be masquerading bots, according to technology researchers….

Much of the social media remains unregulated by campaign finance and transparency laws. So far, the Federal Election Commission has been reluctant to venture into this realm.

But the bots are likely to venture into ours, said Tim Hwang, chief scientist at the Pacific Social Architecting Corporation, which creates bots and technologies that can shape social behavior. “Our vision is that in the near future automatons will eventually be able to rally crowds, open up bank accounts, write letters,” he said, “all through human surrogates.”

What should we do about the naming deficit/surplus?


in mySociety Blog: “As I wrote in my last post, I am very concerned about the lack of comprehensible, consistent language to talk about the hugely diverse ways in which people are using the internet to bring about social and political change….My approach to finding an appropriate name was to look at the way that other internet industry sectors are named, so that I could choose a name that sits nicely next to very familiar sectoral labels….

Segmenting the Civic Power sector

Choosing a single sectoral name – Civic Power – is not really the point of this exercise. The real benefit would come from being able to segment the many projects within this sector so that they are more easy to compare and contrast.

Here is my suggested four part segmentation of the Civic Power sector…:

  1. Decision influencing organisations try to directly shape or change particular decisions made by powerful individuals or organisations.
  2. Regime changing organisations try to replace decision makers, not persuade them.
  3. Citizen Empowering organisations try to give people the resources and the confidence required to exert power for whatever purpose those people see fit, both now and in the future.
  4. Digital Government organisations try to improve the ways in which governments acquire and use computers and networks. Strictly speaking this is just a sub-category of ‘decision influencing organisation’, on a par with an environmental group or a union, but more geeky.”

See also: Open Government – What’s in a Name?