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Stefaan Verhulst

Book by Patrick Jagoda: “In our unprecedentedly networked world, games have come to occupy an important space in many of our everyday lives. Digital games alone engage an estimated 2.5 billion people worldwide as of 2020, and other forms of gaming, such as board games, role playing, escape rooms, and puzzles, command an ever-expanding audience. At the same time, “gamification”—the application of game mechanics to traditionally nongame spheres, such as personal health and fitness, shopping, habit tracking, and more—has imposed unprecedented levels of competition, repetition, and quantification on daily life.
 
Drawing from his own experience as a game designer, Patrick Jagoda argues that games need not be synonymous with gamification. He studies experimental games that intervene in the neoliberal project from the inside out, examining a broad variety of mainstream and independent games, including StarCraft, Candy Crush Saga, Stardew Valley, Dys4ia, Braid, and Undertale. Beyond a diagnosis of gamification, Jagoda imagines ways that games can be experimental—not only in the sense of problem solving, but also the more nuanced notion of problem making that embraces the complexities of our digital present. The result is a game-changing book on the sociopolitical potential of this form of mass entertainment….(More)”

Experimental Games

Article by Eli Pariser and Danielle Allen: “The story of how the internet has become so broken is already familiar. More and more of our public life takes place on big tech platforms optimized for clicks, shares, and virality. The result is that we spend our online time largely in rule-less spaces that reward our worst impulses, trap us in bubbles of like-minded opinion, and leave us susceptible to harassment, lies and misinformation. Facebook, Twitter, and YouTube each took first steps to rein in the worst behavior on their platforms in the heat of the election, but none have confronted how their spaces were structured to become ideal venues for outrage and incitement…

The first step in the process is realizing that the problems we’re experiencing in digital life — how to gather strangers together in public in ways that make it so people generally behave themselves — aren’t new. They’re problems that physical communities have wrestled with for centuries. In physical communities, businesses play a critical role — but so do public libraries, schools, parks and roads. These spaces are often the groundwork that private industry builds itself around: Schools teach and train the next generation of workers; new public parks and plazas often spur private real estate development; businesses transport goods on publicly funded roads; and so on. Public spaces and private industry work symbiotically, if sometimes imperfectly.

Beyond their instrumental value for prosperity, we need public spaces and institutions to weave and maintain our social fabric. In physical communities, parks and libraries aren’t just places for exercise or book-borrowing — they also create social connections, a sense of community identity, and a venue in which differences and inequalities can be surfaced and addressed. Public spaces provide access to essential resources for people who couldn’t otherwise access them — whether it’s an outdoor workout station, basketball court, or books in a library — but they are some of the few spaces in a community where we get a glimpse of each other’s lives and help us see ourselves as part of a pluralistic but cohesive society….

If mission, design and governance are important ingredients, the final component is what might be called digital essential workers — professionals like librarians whose job is to manage, steward, and care for the people in these spaces. This care work is one of the pillars of successful physical communities which has been abstracted away by the existing tech platforms. Scholar Joan Donovan has called for 10,000 librarians for the Internet, while Sarah R. Roberts has pointed out that doing curation at scale would be impossible within the current social media business model. At a time when our country is pulling apart and many Americans need work, it’s worth considering whether we need an AmeriCorps for digital space.

How might we pay for this? A two-year project one of us helped lead at the American Academy of Arts and Sciences issued a final report that recommended taxing what’s known as “targeted advertising” — the kind Google and Facebook rely on for their revenue — in order to support the democratic functions social platforms have had a hand in dismantling, like local journalism. The truth is that Facebook, Google, and Twitter have displaced and sucked the revenue out of an entire ecosystem of local journalistic enterprises and other institutions that served some of these public functions. Those three companies alone made nearly $33 billion in profits in the third quarter of 2020 alone — and that profit margin in part comes from not having to pay for the negative externalities they create or the public goods they erode. Using some of those funds to support public digital infrastructure seems eminently reasonable….(More)”.

To Thrive, Our Democracy Needs Digital Public Infrastructure

Paper by Linus Dahlander and Henning Piezunka: ” Crowdsourcing—asking an undefned group of external contributors to work on tasks—allows organizations to tap into the expertise of people around the world. Crowdsourcing is known to increase innovation and loyalty to brands, but many organizations struggle to leverage its potential, as our research shows. Most often this is because organizations fail to properly plan for all the diferent stages of crowd engagement. In this paper, we use several examples to explain these challenges and ofer advice for how organizations can overcome them….(More)”.

Why crowdsourcing fails

Book edited by Kevin Macnish and Jai Galliott: “Considers the morality of using big data in the political sphere, covering cases from the Snowden leaks to the Brexit referendum

  • Investigates theories and recommendations for how to align the modern political process with the exponential rise in the availability of digital information
  • Opens new avenues for thinking about the philosophy and morality of social media, such as Facebook and Twitter, in the context of political decision-making
  • Sets out and objectively assesses the ‘opacity’ framework as an appropriate means of dealing with the challenges associated with big data and democracy

What’s wrong with targeted advertising in political campaigns? Should we be worried about echo chambers? How does data collection impact on trust in society? As decision-making becomes increasingly automated, how can decision-makers be held to account? This collection consider potential solutions to these challenges. It brings together original research on the philosophy of big data and democracy from leading international authors, with recent examples – including the 2016 Brexit Referendum, the Leveson Inquiry and the Edward Snowden leaks. And it asks whether an ethical compass is available or even feasible in an ever more digitised and monitored world….(More)”.

Big Data and Democracy

Paper by Teresa M. Harrison and Luis Felipe Luna-Reyes: “While there is growing consensus that the analytical and cognitive tools of artificial intelligence (AI) have the potential to transform government in positive ways, it is also clear that AI challenges traditional government decision-making processes and threatens the democratic values within which they are framed. These conditions argue for conservative approaches to AI that focus on cultivating and sustaining public trust. We use the extended Brunswik lens model as a framework to illustrate the distinctions between policy analysis and decision making as we have traditionally understood and practiced them and how they are evolving in the current AI context along with the challenges this poses for the use of trustworthy AI. We offer a set of recommendations for practices, processes, and governance structures in government to provide for trust in AI and suggest lines of research that support them….(More)”.

Cultivating Trustworthy Artificial Intelligence in Digital Government

Viewpoint by Dan Milz and Curt D. Gervich: “….The COVID-19 pandemic has paved the way for a multitude of experiments in e-democracy as local governments strive to continue to hold public meetings; make and implement plans; issue permits, variances and zoning decisions; and gather public input while under quarantine. This paper anecdotally discusses the role of online participatory technologies (OPTs) during this time.

Amidst the obvious impacts, COVID-19 also represents a threat to public participation. Because meeting in person is too risky, local leaders are cautious about hosting meetings in which citizens, government agents and elected officials gather together in one place. Consequently, municipal and county governments, among others, are taking the public’s business online. The purpose of this Viewpoint is to jump-start a conversation about how we prepare planners for a future in which in-person meetings are not guaranteed and how planners might continue to incorporate new technologies when face-to-face meetings resume….(More)”.

Participation and the pandemic: how planners are keeping democracy alive, online

Nicole Gallucci at Mashable: “A lone hashtag might not look very mighty, but when used en masse, the symbols can become incredibly powerful activism tools.

Over the past two decades — largely since product designer Chris Messina pitched hashtags to Twitter in 2007 — activists have learned to harness the symbols to form online communities, raise awareness on pressing issues, organize protests, shape digital narratives, and redirect social media discourse. 

On any given day, a series of hashtags are spotlighted in “Trending” section of Twitter. The hashtags featured are those that have gained traction online and reflect topics being heavily discussed in the moment. More often than not, a trending hashtag’s popularity is organic, but a hashtag’s origin and initial purpose can become clouded when people partake in a clever tactic called hashtag flooding.

Hashtag flooding, or the act of hijacking a hashtag on social media platforms to change its meaning, has been around for years. But in 2020, particularly in the months leading up to the presidential election, activists and social media users looking to make their voices heard used the technique to drown out hateful narratives.

From K-pop fans flooding Donald Trump-related hashtags to members of the gay community putting their own spin on the #ProudBoys hashtag, the method of online communication dominated timelines this year and should be in every activist’s playbook….(More)”.

2020 was the year activists mastered hashtag flooding

Introduction to Special Issue of the Journal of Representative Democracy by Alice el-Wakil & Spencer McKay: “Despite controversy over recent referendums and initiatives, populists and social movements continue to call for the use of these popular vote processes. Most political and academic debates about whether these calls should be answered have adopted a dominant framework that focuses on whether we should favour ‘direct’ or ‘representative’ democracy. However, this framework obscures more urgent questions about whether, when, and how popular vote processes should be implemented in democratic systems. How do popular vote processes interact with representative institutions? And how could these interactions be democratized? The contributions in this special issue address these and related questions by replacing the framework of ‘direct democracy’ with systemic approaches. The normative contributions illustrate how these approaches enable the development of counternarratives about the value of popular vote processes and clarify the nature of the underlying ideals they should realize. The empirical contributions examine recent cases with a variety of methodological tools, demonstrating that systemic approaches attentive to context can generate new insights about the use of popular vote processes. This introduction puts these contributions into conversation to illustrate how a shift in approach establishes a basis for (re-)evaluating existing practices and guiding reforms so that referendums and initiatives foster democracy….(More)”.

Beyond ‘Direct Democracy’: Popular Vote Processes in Democratic Systems

Hunton’s Privacy Blog: “On December 22, 2020, New York Governor Andrew Cuomo signed into law legislation that temporarily bans the use or purchase of facial recognition and other biometric identifying technology in public and private schools until at least July 1, 2022. The legislation also directs the New York Commissioner of Education (the “Commissioner”) to conduct a study on whether this technology is appropriate for use in schools.

In his press statement, Governor Cuomo indicated that the legislation comes after concerns were raised about potential risks to students, including issues surrounding misidentification by the technology as well as safety, security and privacy concerns. “This legislation requires state education policymakers to take a step back, consult with experts and address privacy issues before determining whether any kind of biometric identifying technology can be brought into New York’s schools. The safety and security of our children is vital to every parent, and whether to use this technology is not a decision to be made lightly,” the Governor explained.

Key elements of the legislation include:

  • Defining “facial recognition” as “any tool using an automated or semi-automated process that assists in uniquely identifying or verifying a person by comparing and analyzing patterns based on the person’s face,” and “biometric identifying technology” as “any tool using an automated or semi-automated process that assists in verifying a person’s identity based on a person’s biometric information”;
  • Prohibiting the purchase and use of facial recognition and other biometric identifying technology in all public and private elementary and secondary schools until July 1, 2022, or until the Commissioner authorizes the purchase and use of such technology, whichever occurs later; and
  • Directing the Commissioner, in consultation with New York’s Office of Information Technology, Division of Criminal Justice Services, Education Department’s Chief Privacy Officer and other stakeholders, to conduct a study and make recommendations as to the circumstances in which facial recognition and other biometric identifying technology is appropriate for use in schools and what restrictions and guidelines should be enacted to protect privacy, civil rights and civil liberties interests….(More)”.
New York Temporarily Bans Facial Recognition Technology in Schools

Mark Pesce at IEEE Spectrum: “First articulated in a 1965 white paper by Ivan Sutherland, titled “The Ultimate Display,” augmented reality (AR) lay beyond our technical capacities for 50 years. That changed when smartphones began providing people with a combination of cheap sensors, powerful processors, and high-bandwidth networking—the trifecta needed for AR to generate its spatial illusions. Among today’s emerging technologies, AR stands out as particularly demanding—for computational power, for sensed data, and, I’d argue, for attention to the danger it poses.

Unlike virtual-reality (VR) gear, which creates for the user a completely synthetic experience, AR gear adds to the user’s perception of her environment. To do that effectively, AR systems need to know where in space the user is located. VR systems originally used expensive and fragile systems for tracking user movements from the outside in, often requiring external sensors to be set up in the room. But the new generation of VR accomplishes this through a set of techniques collectively known as simultaneous localization and mapping (SLAM). These systems harvest a rich stream of observational data—mostly from cameras affixed to the user’s headgear, but sometimes also from sonar, lidar, structured light, and time-of-flight sensors—using those measurements to update a continuously evolving model of the user’s spatial environment.

For safety’s sake, VR systems must be restricted to certain tightly constrained areas, lest someone blinded by VR goggles tumble down a staircase. AR doesn’t hide the real world, though, so people can use it anywhere. That’s important because the purpose of AR is to add helpful (or perhaps just entertaining) digital illusions to the user’s perceptions. But AR has a second, less appreciated, facet: It also functions as a sophisticated mobile surveillance system.

This second quality is what makes Facebook’s recent Project Aria experiment so unnerving. Nearly four years ago, Mark Zuckerberg announced Facebook’s goal to create AR “spectacles”—consumer-grade devices that could one day rival the smartphone in utility and ubiquity. That’s a substantial technical ask, so Facebook’s research team has taken an incremental approach. Project Aria packs the sensors necessary for SLAM within a form factor that resembles a pair of sunglasses. Wearers collect copious amounts of data, which is fed back to Facebook for analysis. This information will presumably help the company to refine the design of an eventual Facebook AR product.

The concern here is obvious: When it comes to market in a few years, these glasses will transform their users into data-gathering minions for Facebook. Tens, then hundreds of millions of these AR spectacles will be mapping the contours of the world, along with all of its people, pets, possessions, and peccadilloes. The prospect of such intensive surveillance at planetary scale poses some tough questions about who will be doing all this watching and why….(More)”.

Augmented Reality and the Surveillance Society

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