Digital Democracy’s Road Ahead


Richard Hughes Gibson at the Hedgehog Review: “In the last decade of the twentieth century, as we’ve seen, Howard Rheingold and William J. Mitchell imagined the Web as an “electronic agora” where netizens would roam freely, mixing business, pleasure, and politics. Al Gore envisioned it as an “information superhighway” system for which any computer could offer an onramp. Our current condition, by contrast, has been likened to shuffling between “walled gardens,” each platform—be it Facebook, Apple, Amazon, or Google—being its own tightly controlled ecosystem. Yet even this metaphor is perhaps too benign. As the cultural critic Alan Jacobs has observed, “they are not gardens; they are walled industrial sites, within which users, for no financial compensation, produce data which the owners of the factories sift and then sell.”

Harvard Business School professor Shoshanna Zuboff has dubbed the business model underlying these factories “surveillance capitalism.” Surveillance capitalism works by collecting information about you (your Internet activity, call history, app usage, your voice, your location, even your fitness level), which creates profiles of what you like, where you go, who you know, and who you are. That shadowy portrait makes a powerful tool for predicting what kinds of products and services you might like to purchase, and other companies are happy to pay for such finely-tuned targeted advertising. (Facebook alone generated $69 billion in ad revenue last year.)

The information-gathering can’t ever stop, however; the business model depends on a steady supply of new user data to inform the next round of predictions. This “extraction imperative,” as Zuboff calls it, is inherently monopolistic, rival companies being both a threat that must be eliminated and a potential gold mine from which more user data can be extracted (see Facebook’s acquisitions of competitors Whatsapp and Instagram). Equally worryingly, the big tech companies have begun moving into other sectors of the economy, as seen, for example, in Google’s quiet entry last year into the medical records business (unbeknownst to the patients and physicians whose data was mined).

There is growing consensus among legal scholars and social scientists that these practices are hazardous to democracy. Commentators worry over the consequences of putting so much wealth in so few hands so quickly (Zuboff calls it a “new Gilded Age”). They note the number of tech executives who’ve gone on to high-ranking government posts and vice versa. They point to the fact that—contrary to Mark Zuckerberg’s 2010 declaration that privacy is no longer a “social norm”—users are indeed worried about privacy. Scholars note, furthermore, that these platforms are not a genuine reflection of public opinion, though they are often treated as such. Social media can operate as echo chambers, only showing you what people like you read, think, do. Paradoxically, they can also become pressure cookers. As is now widely documented, many algorithms reward—and thereby amplify—the most divisive and thus most attention-grabbing content. Keeping us dialed in—whether for the next round of affirmation or outrage—is essential to their success….(More)”.

A nudge helps doctors bring up end-of-life issues with their dying cancer patients


Article by Ravi Parikh et al: “When conversations about goals and end-of-life wishes happen early, they can improve patients’ quality of life and decrease their chances of dying on a ventilator or in an intensive care unit. Yet doctors treating cancer focus so much of their attention on treating the disease that these conversations tend to get put off until it’s too late. This leads to costly and often unwanted care for the patient.Related: 

This can be fixed, but it requires addressing two key challenges. The first is that it is often difficult for doctors to know how long patients have left to live. Even among patients in hospice care, doctors get it wrong nearly 70% of the time. Hospitals and private companies have invested millions of dollars to try and identify these outcomes, often using artificial intelligence and machine learning, although most of these algorithms have not been vetted in real-world settings.

In a recent set of studies, our team used data from real-time electronic medical records to develop a machine learning algorithm that identified which cancer patients had a high risk of dying in the next six months. We then tested the algorithm on 25,000 patients who were seen at our health system’s cancer practices and found it performed better than relying only on doctors to identify high-risk patients.

But just because such a tool exists doesn’t mean doctors will use it to prompt more conversations. The second challenge — which is even harder to overcome — is using machine learning to motivate clinicians to have difficult conversations with patients about the end of life.

We wondered if implementing a timely “nudge” that doctors received before seeing their high-risk patients could help them start the conversation.

To test this idea, we used our prediction tool in a clinical trial involving nine cancer practices. Doctors in the nudge group received a weekly report on how many end-of-life conversations they had compared to their peers, along with a list of patients they were scheduled to see the following week who the algorithm deemed at high-risk of dying in the next six months. They could review the list and uncheck any patients they thought were not appropriate for end-of-life conversations. For the patients who remained checked, doctors received a text message on the day of the appointment reminding them to discuss the patient’s goals at the end of life. Doctors in the control group did not receive the email or text message intervention.

As we reported in JAMA Oncology, 15% of doctors who received the nudge text had end-of-life conversations with their patients, compared to just 4% of the control doctors….(More)”.

The Few, the Tired, the Open Source Coders


Article by Clive Thompson: “…When the open source concept emerged in the ’90s, it was conceived as a bold new form of communal labor: digital barn raisings. If you made your code open source, dozens or even hundreds of programmers would chip in to improve it. Many hands would make light work. Everyone would feel ownership.

Now, it’s true that open source has, overall, been a wild success. Every startup, when creating its own software services or products, relies on open source software from folks like Thornton: open source web-server code, open source neural-net code. But, with the exception of some big projects—like Linux—the labor involved isn’t particularly communal. Most are like Bootstrap, where the majority of the work landed on a tiny team of people.

Recently, Nadia Eghbal—the head of writer experience at the email newsletter platform Substack—published Working in Public, a fascinating book for which she spoke to hundreds of open source coders. She pinpointed the change I’m describing here. No matter how hard the programmers worked, most “still felt underwater in some shape or form,” Eghbal told me.

Why didn’t the barn-raising model pan out? As Eghbal notes, it’s partly that the random folks who pitch in make only very small contributions, like fixing a bug. Making and remaking code requires a lot of high-level synthesis—which, as it turns out, is hard to break into little pieces. It lives best in the heads of a small number of people.

Yet those poor top-level coders still need to respond to the smaller contributions (to say nothing of requests for help or reams of abuse). Their burdens, Eghbal realized, felt like those of YouTubers or Instagram influencers who feel overwhelmed by their ardent fan bases—but without the huge, ad-based remuneration.

Sometimes open source coders simply walk away: Let someone else deal with this crap. Studies suggest that about 9.5 percent of all open source code is abandoned, and a quarter is probably close to being so. This can be dangerous: If code isn’t regularly updated, it risks causing havoc if someone later relies on it. Worse, abandoned code can be hijacked for ill use. Two years ago, the pseudonymous coder right9ctrl took over a piece of open source code that was used by bitcoin firms—and then rewrote it to try to steal cryptocurrency….(More)”.

Google launches new tool to help cities stay cool


Article by Justine Calma: “Google unveiled a tool today that could help cities keep their residents cool by mapping out where trees are needed most. Cities tend to be warmer than surrounding areas because buildings and asphalt trap heat. An easy way to cool metropolitan areas down is to plant more trees in neighborhoods where they’re sparse.

Google’s new Tree Canopy Lab uses aerial imagery and Google’s AI to figure out where every tree is in a city. Tree Canopy Lab puts that information on an interactive map along with additional data on which neighborhoods are more densely populated and are more vulnerable to high temperatures. The hope is that planting new trees in these areas could help cities adapt to a warming world and save lives during heat waves.

Google piloted Tree Canopy Lab in Los Angeles. Data on hundreds more cities is on the way, the company says. City planners interested in using the tool in the future can reach out to Google through a form it posted along with today’s announcement.

“We’ll be able to really home in on where the best strategic investment will be in terms of addressing that urban heat,” says Rachel Malarich, Los Angeles’ first city forest officer.

Google claims that its new tool can save cities like Los Angeles time when it comes to taking inventory of their trees. That’s often done by sending people to survey each block. Los Angeles has also used LIDAR technology to map their urban forest in the past, which uses a laser sensor to detect the trees — but that process was expensive and slow, according to Malarich. Google’s new service, on the other hand, is free to use and will be updated regularly using images the company already takes by plane for Google Maps….(More)”.

How the U.S. Military Buys Location Data from Ordinary Apps


Joseph Cox at Vice: “The U.S. military is buying the granular movement data of people around the world, harvested from innocuous-seeming apps, Motherboard has learned. The most popular app among a group Motherboard analyzed connected to this sort of data sale is a Muslim prayer and Quran app that has more than 98 million downloads worldwide. Others include a Muslim dating app, a popular Craigslist app, an app for following storms, and a “level” app that can be used to help, for example, install shelves in a bedroom.

Through public records, interviews with developers, and technical analysis, Motherboard uncovered two separate, parallel data streams that the U.S. military uses, or has used, to obtain location data. One relies on a company called Babel Street, which creates a product called Locate X. U.S. Special Operations Command (USSOCOM), a branch of the military tasked with counterterrorism, counterinsurgency, and special reconnaissance, bought access to Locate X to assist on overseas special forces operations. The other stream is through a company called X-Mode, which obtains location data directly from apps, then sells that data to contractors, and by extension, the military.

The news highlights the opaque location data industry and the fact that the U.S. military, which has infamously used other location data to target drone strikes, is purchasing access to sensitive data. Many of the users of apps involved in the data supply chain are Muslim, which is notable considering that the United States has waged a decades-long war on predominantly Muslim terror groups in the Middle East, and has killed hundreds of thousands of civilians during its military operations in Pakistan, Afghanistan, and Iraq. Motherboard does not know of any specific operations in which this type of app-based location data has been used by the U.S. military.

The apps sending data to X-Mode include Muslim Pro, an app that reminds users when to pray and what direction Mecca is in relation to the user’s current location. The app has been downloaded over 50 million times on Android, according to the Google Play Store, and over 98 million in total across other platforms including iOS, according to Muslim Pro’s website….(More)”.

CrowdHeritage: Improving the quality of Cultural Heritage through crowdsourcing methods


Paper by Maria Ralli et al: “The lack of granular and rich descriptive metadata highly affects the discoverability and usability of the digital content stored in museums, libraries and archives, aggregated and served through Europeana, thus often frustrating the user experience offered by these institutions’ portals. In this context, metadata enrichment services through automated analysis and feature extraction along with crowdsourcing annotation services can offer a great opportunity for improving the metadata quality of digital cultural content in a scalable way, while at the same time engaging different user communities and raising awareness about cultural heritage assets. Such an effort is Crowdheritage, an open crowdsourcing platform that aims to employ machine and human intelligence in order to improve the digital cultural content metadata quality….(More)”.

The responsible use of data for and about children: treading carefully and ethically


Q&A with Stefaan G. Verhulst and Andrew Young …” working in collaboration with UNICEF on an initiative called Responsible Data for Children initiative (RD4C) . Its focus is on data – the risks it poses to children, as well as the opportunities it offers.

You have been working with UNICEF on the Responsible Data for Children initiative (RD4C). What is this and why do we need to be talking more about ‘responsible data’?

To date, the relationship between the datafication of everyday life and child welfare has been under-explored, both by researchers in data ethics and those who work to advance the rights of children. This neglect is a lost opportunity, and also poses a risk to children.

Today’s children are the first generation to grow up amid the rapid datafication of virtually every aspect of social, cultural, political and economic life. This alone calls for greater scrutiny of the role played by data. An entire generation is being datafied, often starting before birth. Every year the average child will have more data collected about them in their lifetime than would a similar child born any year prior. Ironically, humanitarian and development organizations working with children are themselves among the key actors contributing to the increased collection of data. These organizations rely on a wide range of technologies, including biometrics, digital identity systems, remote-sensing technologies, mobile and social media messaging apps, and administrative data systems. The data generated by these tools and platforms inevitably includes potentially sensitive PII data (personally identifiable information) and DII data (demographically identifiable information). All of this begs much closer scrutiny, and a more systematic framework to guide how child-related data is collected, stored, and used.

Towards this aim, we have also been working with the Data for Children Collaborative, based in Edinburgh in establishing innovative and ethical practices around the use of data to improve the lives of children worldwide….(More)”.

The web is full of junk health info. This startup wants to change that


Daphne Leprince-Ringuet at ZDNet: “A crowdsourcing platform aims to provide better insight into health issues than is currently available….In the age of social media, blogs, and online forums, the most common practice when feeling slightly under the weather has undeniably become to resort to a quick Google search. Unfortunately, when they are not unnecessarily worrying, the answers found on the web are typically inconclusive. That observation is what prompted Israeli entrepreneur Yael Elish to launch StuffThatWorks, an AI-based online platform that collects crowdsourced data about a host of chronic conditions.

The idea being that, unlike Facebook groups or Reddit threads, the information shared by patients is centralized and assessed for quality to readily provide informed data to other users who are enquiring about their own symptoms. Healthline cuts through the confusion with straightforward, expert-reviewed, person-first experiences — all designed to help you make the best decisions. Elish is a former member of the founding team for crowdsourced navigation app Waze, but this time instead of tapping user-generated content to come up with traffic predictions and accident warnings, StuffThatWorks is intended to give users better insights into illness…(More)”.

Macron’s green democracy experiment gets political


Louise Guillot and Elisa Braun at Politico: “Emmanuel Macron asked 150 ordinary people to help figure out France’s green policies — and now this citizens’ convention is turning into a political problem for the French president.

The Citizens’ Convention on Climate was aimed at calming tensions in the wake of the Yellow Jackets protest movement — which was sparked by a climate tax on fuel — and showing that Macron wasn’t an out-of-touch elitist.

After nine months of deliberations, the convention came up with 149 proposals to slash greenhouse gas emissions this summer. The government has to put some of these measures before the parliament for them to become binding, and a bill is due to be presented in December.

But that’s too slow for many of the convention’s members, who feel the government is back-pedalling on some of the ideas and that Macron has poked fun at them.

Muriel Raulic, a member of the convention, accused Macron of using the body to greenwash his administration.

She supports a moratorium on 5G high-speed mobile technology, which has created some health and environmental fears. Macron has dismissed proponents of the ban as “Amish” — a Christian sect suspicious of technology.

The 150 members wrote an open letter to Macron in mid-October, complaining about a lack of “clear and defined support from the executive, whose positions sometimes appear contradictory,” and to “openly hostile communications” from “certain professional actors.”

Some gathered late last month before the National Assembly to complain they felt used and treated like “guinea pigs” by politicians. In June, they created an association to oversee what the government is doing with their proposals. 

…The government denied it is using the convention to greenwash itself….(More)”.

Platform Power to the People


Essay by Sanjay Pinto & Beth Gutelius: “When stay-at-home orders swept across the United States in response to the coronavirus outbreak this past spring, workers’ rights advocates accustomed to in-person meetings had to adjust quickly—and many did. In April, thousands of supporters joined a digital workers’ town hall to learn about the issues facing Nashville’s low-wage workers amid COVID-19, compounded by a series of tornadoes that had recently hit the Tennessee capitol’s region. In May, Taco Bell workers in Michigan created an online petition with support from the Emergency Workplace Organizing Committee, a group formed in the early months of the pandemic. That effort won them hazard pay and increased paid sick leave, among other benefits.

In response to the pandemic, workers both employed and unemployed have used digital platforms and tools to magnify their voices and meet their needs. They have launched online petition campaigns to demand safer workplaces. Worker centers, unions, and other economic justice groups are broadcasting Facebook and Instagram live events to share information about programs that support workers, offering online training to navigate state unemployment insurance systems, and sending out text blasts asking workers to take direct action.

Digital platforms have also helped workers share information about the problems they’re confronting, mobilize different forms of support and mutual aid, and make demands of employers and policy makers. Such engagement occurs not only within the channels created by established worker justice organizations, including unions and worker centers, but also among informal networks of workers who have common concerns. In some cases, digital tools are mediating relationships between workers and employers to address needs that have intensified during the pandemic. Online platforms are connecting people to steadier work, for example, and enabling employers to pay in to benefits funds for workers who have been shut out of government-sponsored and regulated systems.

These uses of digital tools are not new. Mainstream social media platforms, despite serious drawbacks discussed below, have played an important role in a variety of social movements. For example, activists used Facebook and Twitter to coordinate protests during the Arab Spring uprisings in the early 2010s. In the worker justice arena, online engagement using social media platforms that mobilize and organize workers, like Facebook and customized platforms like Coworker, has contributed to impressive actions and campaigns, including teacher strikes in the United States, strikes of Ryanair workers in Europe, and successful efforts to challenge unfair workplace policies in nonunion settings around the world. In many ways, COVID-19 has amplified and accelerated the digital efforts that have already been in motion. In a time of social distancing, people have increasingly relied upon digital tools to support collective action across different sectors, just as they have for a broad spectrum of other social interactions.

However, digital engagement will never replace analog or in-person forms of connection, as we have seen in the recent protests drawing attention to the epidemic of police violence against Black Americans. Nor will tools designed to directly address specific challenges confronting low-wage workers single-handedly transform the broader set of conditions that have produced rising inequality; ongoing expansion of the low-wage economy; and entrenched marginalization based on identity markers like race, gender, and citizenship status. Just as we need to challenge the idea that technological change will inevitably lead to mass unemployment, we also need to resist seeing new technology as supplying a set of easy fixes that secure a just and equitable future of work.

In this article, we examine how worker-centered digital tools and approaches to digital engagement might fit within a larger set of strategies for shifting power in the economy and ensuring that all people have access to “decent work” that provides fair income, social protections, and the freedom to organize, among other measures. How can online organizing foster connection and collective action—even direct action—for workers separated by geography and working across different sectors? For those lacking information about their labor rights and the behavior of unscrupulous and abusive employers, how can digital channels offer a lifeline? How can digital tools help pave the way for “high-road” forms of employment that pay fairly and invest in workers, particularly in areas where prevailing policies and norms translate into chronic precarity?…(More)”.