Hoaxmap: Debunking false rumours about refugee ‘crimes’


Teo Kermeliotis at AlJazeera: “Back in the summer of 2015, at the height of the ongoing refugee crisis, Karolin Schwarz started noticing a disturbing pattern.

Just as refugee arrivals in her town of Leipzig, eastern Germany, began to rise, so did the frequency of rumours over supposed crimes committed by those men, women and children who had fled war and hardship to reach Europe.

As months passed by, the allegations became even more common, increasingly popping up in social media feeds and often reproduced by mainstream news outlets.

The online map featured some 240 incidents in its first week [Source: Hoaxmap/Al Jazeera]

 

“The stories seemed to be [orchestrated] by far-right parties and organisations and I wanted to try to find some way to help organise this – maybe find patterns and give people a tool to look up these stories [when] they were being confronted with new ones.”

And so she did.

Along with 35-year-old developer Lutz Helm, Schwarz launched last week Hoaxmap, an online platform that allows people to separate fact from fiction by debunking false rumours about supposed crimes committed by refugees.

Using an interactive system of popping dots, the map documents and categorises where those “crimes” allegedly took place. It then counters that false information with official statements from the police and local authorities, as well as news reports in which the allegations have been disproved. The debunked cases marked on the map range from thefts and assaults to manslaughter – but one of the most common topics is rape, Schwarz said….(More)”

Data Could Help Scholars Persuade, If Only They Were Willing to Use It


Paul Basken at the Chronicle of Higher Education: “Thanks to what they’ve learned from university research, consultants like Matthew Kalmans have become experts in modern political persuasion. A co-founder of Applecart, a New York data firm, Mr. Kalmans specializes in shaping societal attitudes by using advanced analytical techniques to discover and exploit personal connections and friendships. His is one of a fast-growing collection of similar companies now raising millions of dollars, fattening businesses, and aiding political campaigns with computerized records of Facebook exchanges, high-school yearbooks, even neighborhood gossip.

Applecart uses that data to try to persuade people on a range of topics by finding voices they trust to deliver endorsements. “You can use this sort of technology to get people to purchase insurance at higher rates, get people to purchase a product, get people to do all sorts of other things that they might otherwise not be inclined to do,” said Mr. Kalmans, a 2014 graduate of the University of Pennsylvania. And in building such a valuable service, he’s found that the intellectual underpinnings are often free. “We are constantly reading academic papers to get ideas on how to do things better,” Mr. Kalmans said. That’s because scholars conduct the field experiments and subsequent tests that Mr. Kalmans needs to build and refine his models. “They do a lot of the infrastructural work that, frankly, a lot of commercial companies don’t have the in-house expertise to do,” he said of university researchers. Yet the story of Applecart stands in contrast to the dominant attitude and approach among university researchers themselves. Universities are full of researchers who intensively study major global problems such as environmental destruction and societal violence, then stop short when their conclusions point to the need for significant change in public behavior.

Some in academe consider that boundary a matter of principle rather than a systematic failure or oversight. “The one thing that we have to do is not be political,” Michael M. Crow, the usually paradigm-breaking president of Arizona State University, said this summer at a conference on academic engagement in public discourse. “Politics is a process that we are informing. We don’t have to be political to inform politicians or political actors.” But other academics contemplate that stance and see a missed opportunity to help convert the millions of taxpayer dollars spent on research into meaningful societal benefit. They include Dan M. Kahan, a professor of law and of psychology at Yale University who has been trying to help Florida officials cope with climate change. Mr. Kahan works with the four-county Southeast Florida Regional Climate Change Compact, which wants to redesign roads, expand public transit, and build pumping stations to prepare for harsher weather. But Mr. Kahan says he and his Florida partners have had trouble getting enough

But Mr. Kahan says he and his Florida partners have had trouble getting enough policy makers to seriously consider the scale of the problem and the necessary solutions. It’s frustrating, Mr. Kahan said, to see so much university research devoted to work inside laboratories on problems like climate, and comparatively little spent on real-world needs such as sophisticated messaging strategies. “There really is a kind of deficit in the research relating to actually operationalizing the kinds of insights that people have developed from research,” he said. That deficit appears to stem from academic culture, said Utpal M. Dholakia, a professor of marketing at Rice University whose work involves testing people’s self-control in areas such as eating and shopping. He then draws conclusions about whether regulations or taxes aimed at changing behaviors will be effective. Companies find advanced personal behavioral data highly useful, said Mr. Dholakia, who works on the side to help retailers devise sales strategies. But his university, he said, appears more interested in seeing him publish his findings than take the time to help policy makers make real-world use of them. “My dean gets very worried if I don’t publish a lot.” Because universities h

That deficit appears to stem from academic culture, said Utpal M. Dholakia, a professor of marketing at Rice University whose work involves testing people’s self-control in areas such as eating and shopping. He then draws conclusions about whether regulations or taxes aimed at changing behaviors will be effective. Companies find advanced personal behavioral data highly useful, said Mr. Dholakia, who works on the side to help retailers devise sales strategies. But his university, he said, appears more interested in seeing him publish his findings than take the time to help policy makers make real-world use of them. “My dean gets very worried if I don’t publish a lot.” …(More)

Donating Your Selfies to Science


Linda Poon at CityLab: “It’s not only your friends and family who follow your online selfies and group photos. Scientists are starting to look at them, too, though they’re more interested in what’s around you. In bulk, photos can reveal weather patterns across multiple locations, air quality of a place over time, the dynamics of a neighborhood—all sorts of information that helps researchers study cities.

At the Nanyang Technological University in Singapore, a research group is using crowdsourced photos to create a low-cost alternative to air-pollution sensors. Called AirTick, the smartphone app they’ve designed will collect photos from users and analyze how hazy the environment looks. It’ll then check each image against official air quality data, and through machine-learning the app will eventually be able to predict pollution levels based on an image alone.

AirTick creator Pan Zhengziang said in a promotional video last month that the growing concern among the public over air quality can make programs like this a success—especially in Southeast Asia, where smog has gotten so bad that governments have had to shut down schools and suspend outdoor activities.  “In Singapore’s recent haze episode, around 250,000 people [have] shared their concerns via Twitter,” he said. “This has made crowdsourcing-based air quality monitoring a possibility.”…(More)”

The Point of Collection


Essay by Mimi Onuoha: “The conceptual, practical, and ethical issues surrounding “big data” and data in general begin at the very moment of data collection. Particularly when the data concern people, not enough attention is paid to the realities entangled within that significant moment and spreading out from it.

I try to do some disentangling here, through five theses around data collection — points that are worth remembering, communicating, thinking about, dwelling on, and keeping in mind, if you have anything to do with data on a daily basis (read: all of us) and want to do data responsibly.

1. Data sets are the results of their means of collection.

It’s easy to forget that the people collecting a data set, and how they choose to do it, directly determines the data set….

2. As we collect more data, we prioritize things that fit patterns of collection.

Or as Rob Kitchin and Martin Dodge say in Code/Space,“The effect of abstracting the world is that the world starts to structure itself in the image of the capta and the code.” Data emerges from a world that is increasingly software-mediated, and software thrives on abstraction. It flattens out individual variations in favor of types and models….

3. Data sets outlive the rationale for their collection.

Spotify can come up with a list of reasons why having access to users’ photos, locations, microphones, and contact lists can improve the music streaming experience. But the reasons why they decide these forms of data might be useful can be less important than the fact that they have the data itself. This is because the needs or desires influencing the decisions to collect some type of data often eventually disappear, while the data produced as a result of those decisions have the potential to live for much longer. The data are capable of shifting and changing according to specific cultural contexts and to play different roles than what they might have initially been intended for….

4. Corollary: Especially combined, data sets reveal far more than intended.

We sometimes fail to realize that data sets, both on their own and combined with others, can be used to do far more than what they were originally intended for. You can make inferences from one data set that result in conclusions in completely different realms. Facebook, by having huge amounts of data on people and their networks, could make reasonable hypotheses regarding people’s sexual orientations….

5. Data collection is a transaction that is the result of an invisible relationship.

This is a frame — connected to my first point — useful for understanding how to think about data collection on the whole:

Every data set involving people implies subjects and objects, those who collect and those who make up the collected. It is imperative to remember that on both sides we have human beings….(More)”

Five ways tech is crowdsourcing women’s empowerment


Zara Rahman in The Guardian: “Around the world, women’s rights advocates are crowdsourcing their own data rather than relying on institutional datasets.

Citizen-generated data is especially important for women’s rights issues. In many countries the lack of women in positions of institutional power, combined with slow, bureaucratic systems and a lack of prioritisation of women’s rights issues means data isn’t gathered on relevant topics, let alone appropriately responded to by the state.

Even when data is gathered by institutions, societal pressures may mean it remains inadequate. In the case of gender-based violence, for instance, women often suffer in silence, worrying nobody will believe them or that they will be blamed. Providing a way for women to contribute data anonymously or, if they so choose, with their own details, can be key to documenting violence and understanding the scale of a problem, and thus deciding upon appropriate responses.

Crowdsourcing data on street harassment in Egypt

Using open source platform Ushahidi, HarassMap provides women with a way to document incidences of street harassment. The project, which began in 2010, is raising awareness of how common street harassment is, giving women’s rights advocates a concrete way to highlight the scale of the problem….

Documenting experiences of reporting sexual harassment and violence to the police in India

Last year, The Ladies Finger, a women’s zine based in India, partnered with Amnesty International to support its Ready to Report campaign, which aimed to make it easier for survivors of sexual violence to file a police complaint. Using social media and through word of mouth, it asked the community if they had experiences to share about reporting sexual assault and harassment to the police. Using these crowdsourced leads, The Ladies Finger’s reporters spoke to people willing to share their experiences and put together a series of detailed contextualised stories. They included a piece that evoked a national outcry and spurred the Uttar Pradesh government to make an arrest for stalking, after six months of inaction….

Reporting sexual violence in Syria

Women Under Siege is a global project by Women’s Media Centre that is investigating how rape and sexual violence is used in conflicts. Its Syria project crowdsources data on sexual violence in the war-torn country. Like HarassMap, it uses the Ushahidi platform to geolocate where acts of sexual violence take place. Where possible, initial reports are contextualised with deeper media reports around the case in question….

Finding respectful gynaecologists in India

After recognising that many women in her personal networks were having bad experiences with gynaecologists in India, Delhi-based Amba Azaad began – with the help of her friends – putting together a list of gynaecologists who had treated patients respectfully called Gynaecologists We Trust. As the site says, “Finding doctors who are on our side is hard enough, and when it comes to something as intimate as our internal plumbing, it’s even more difficult.”…

Ending tech-related violence against women

In 2011, Take Back the Tech, an initiative from the Association for Progressive Communications, started a map gathering incidences of tech-related violence against women. Campaign coordinator Sara Baker says crowdsourcing data on this topic is particularly useful as “victims/survivors are often forced to tell their stories repeatedly in an attempt to access justice with little to no action taken on the part of authorities or intermediaries”. Rather than telling that story multiple times and seeing it go nowhere, their initiative gives people “the opportunity to make their experience visible (even if anonymously) and makes them feel like someone is listening and taking action”….(More)

Iranian youth get app to dodge morality police


BBC Trending: “An anonymous team of Iranian app developers have come up with a solution to help young fashion conscious Iranians avoid the country’s notorious morality police known in Persian as “Ershad” or guidance.

Ershad’s mobile checkpoints which usually consist of a van, a few bearded menand one or two women in black chadors, are deployed in towns across Iran andappear with no notice.

Ershad personnel have a very extensive list of powers ranging from issuing warnings and forcing those they accuse of violating Iran’s Islamic code of conduct, to make a written statement pledging to never do so again, to fines or even prosecuting offenders.

The new phone app which is called “Gershad” (probably meaning get aroundErshad instead of facing them) however, will alert users to checkpoints and helpthem to avoid them by choosing a different route.

The data for the app is crowdsourced. It relies on users to point out the location of the Ershad vans on maps and when a sufficient number of users point out the same point, an alert will show up on the map for other users. When the number decreases, the alert will fade gradually from the map.

Screengrab of Tehran on Gershad

In a statement on their web page the app’s developers explain their motives in thisway: “Why do we have to be humiliated for our most obvious right which is the rightto wear what we want? Social media networks and websites are full of footage and photos of innocent women who have been beaten up and dragged on the ground by the Ershad patrol agents.”…

According to the designers of Gershad, in 2014 alone, around three million people were issued with official warnings, 18,000 were prosecuted and more than 200,000 were made to write formal pledges of repentance….

If the app, lives up to the claims made for it, Gershad will be a lifesaver for the growing numbers of young Iranians who are pushing the boundaries of what is allowed and finding themselves on the wrong side of what an Ershad agent sees as acceptable….(More)”

Three and a half degrees of separation


Sergey EdunovCarlos DiukIsmail Onur FilizSmriti Bhagat and Moira Burke at Facebook Research: “…How connected is the world? Playwrights, poets, and scientists have proposed that everyone on the planet is connected to everyone else by six other people. In honor of Friends Day, we’ve crunched the Facebook friend graph and determined that the number is 3.57. Each person in the world (at least among the 1.59 billion people active on Facebook) is connected to every other person by an average of three and a half other people. The average distance we observe is 4.57, corresponding to 3.57 intermediaries or “degrees of separation.” Within the US, people are connected to each other by an average of 3.46 degrees.

Our collective “degrees of separation” have shrunk over the past five years. In 2011, researchers at Cornell, the Università degli Studi di Milano, and Facebook computed the average across the 721 million people using the site then, and found that it was 3.74 [4,5]. Now, with twice as many people using the site, we’ve grown more interconnected, thus shortening the distance between any two people in the world.

Calculating this number across billions of people and hundreds of billions of friendship connections is challenging; we use statistical techniques described below to precisely estimate distance based on de-identified, aggregate data.

….Calculating degrees of separation in a network with hundreds of billions of edges is a monumental task, because the number of people reached grows very quickly with the degree of separation.

Imagine a person with 100 friends. If each of his friends also has 100 friends, then the number of friends-of-friends will be 10,000. If each of those friends-of-friends also has 100 friends then the number of friends-of-friends-of-friends will be 1,000,000. Some of those friends may overlap, so we need to filter down to the unique connections. We’re only two hops away and the number is already big. In reality this number grows even faster since most people on Facebook have more than 100 friends. We also need to do this computation 1.6 billion times; that is, for every person on Facebook.

Rather than calculate it exactly, we relied on statistical algorithms developed by Kang and others [6-8] to estimate distances with great accuracy, basically finding the approximate number of people within 1, 2, 3 (and so on) hops away from a source….(More)

My degrees of separation: Please log in to Facebook to see your number.

New Tools for Collaboration: The Experience of the U.S. Intelligence Community


IBM Center for Business of Government: “This report is intended for an audience beyond the U.S. Intelligence Community—senior managers in government, their advisors and students of government performance who are interested in the progress of collaboration in a difficult environment. …

The purpose of this report is to learn lessons by looking at the use of internal collaborative tools across the Intelligence Community. The initial rubric was tools, but the real focus is collaboration, for while the tools can enable, what ultimately matters are policies and practices interacting with organizational culture. It looks for good practices to emulate. The ultimate question is how and how much could, and should, collaborative tools foster integration across the Community. The focus is analysis and the analytic process, but collaborative tools can and do serve many other functions in the Intelligence Community—from improving logistics or human resources, to better connecting collection and analysis, to assisting administration and development, to facilitating, as one interlocutor put it, operational “go” decisions. Yet it is in the analytic realm that collaboration is both most visible and most rubs against traditional work processes that are not widely collaborative.

The report defines terms and discusses concepts, first exploring collaboration and coordination, then defining collaborative tools and social media, then surveying the experience of the private sector. The second section of the report uses those distinctions to sort out the blizzard of collaborative tools that have been created in the various intelligence agencies and across them. The third section outlines the state of collaboration, again both within agencies and across them. The report concludes with findings and recommendations for the Community. The recommendations amount to a continuum of possible actions in making more strategic what is and will continue to be more a bottom-up process of creating and adopting collaborative tools and practices….(More)”

The rise of the citizen expert


Beth Noveck (The GovLab) at Policy Network: “Does the EU need to be more democratic? It is not surprising that Jürgen Habermas, Europe’s most famous democratic theorist, laments the dearth of mechanisms for “fulfilling the citizens’ political will” in European institutions. The controversial handling of the Greek debt crisis, according to Habermas, was clear evidence of the need for more popular input into otherwise technocratic decision-making. Incremental progress toward participation does not excuse a growing crisis of democratic legitimacy that, he says, is undermining the European project….

For participatory democrats like Habermas, opportunities for deliberative democratic input by citizens is essential to legitimacy. And, to be sure, the absence of such opportunities is no guarantee of more effective outcomes. A Greek referendum in July 2015 scuttled European austerity plans.

But pitting technocracy against citizenship is a false dichotomy resulting from the long-held belief, even among reformers, that only professional public servants or credentialed elites possess the requisite abilities to govern in a complex society. Citizens are spectators who can express opinions but cognitive incapacity, laziness or simply the complexity of modern society limit participation to asking people what they feel by means of elections, opinion polls, or social media.

Although seeing technocracy as the antinomy of citizenship made sense when expertise was difficult to pinpoint, now tools like LinkedIn, which make knowhow more searchable, are making it possible for public institutions to get more help from more diverse sources – including from within the civil service – systematically and could enable more members of the public to participate actively in governing based on what they know and care about. It is high time for institutions to begin to leverage such platforms to match the need for expertise to the demand for it and, in the process, increase engagement becoming more effective and more legitimate.

Such software does more than catalogue credentials. The internet is radically decreasing the costs of identifying diverse forms of expertise so that the person who has taken courses on an online learning platform can showcase those credentials with a searchable digital badge. The person who has answered thousands of questions on a question-and-answer website can demonstrate their practical ability and willingness to help. Ratings by other users further attest to the usefulness of their contributions. In short, it is becoming possible to discover what people know and can do in ever more finely tuned ways and match people to opportunities to participate that speak to their talents….

In an era in which it is commonplace for companies to use technology to segment customers in an effort to promote their products more effectively, the idea of matching might sound obvious. To be sure, it is common practice in business – but in the public sphere, the notion that participation should be tailored to the individual’s abilities and tethered to day-to-day practices of governing, not politicking, is new.  More accurately, it is a revival of Athenian life where citizen competence and expertise were central to economic and military success.

What makes this kind of targeted engagement truly democratic – and citizenship in this vision more active, robust, and meaningful – is that such targeting allows us to multiply the number and frequency of ways to engage productively in a manner consistent with each person’s talents. When we move away from focusing on citizen opinion to discovering citizen expertise, we catalyse participation that is also independent of geographical boundaries….(More)”

Translator Gator


Yulistina Riyadi & Lalitia Apsar at Global Pulse: “Today Pulse Lab Jakarta launches Translator Gator, a new language game to support research initiatives in Indonesia. Players can earn phone credit by translating words between English and six common Indonesian languages. The database of keywords generated by the game will be used by researchers on topics ranging from computational social science to public policy.

Translator Gator is inspired by the need to socialise the 17 Sustainable Development Goals (SDGs), currently being integrated into the Government of Indonesia’s programme, and the need to better monitor progress against the varied indicators. Thus, Translator Gator will raise awareness of the SDGs and develop a taxonomy of keywords to inform research.

An essential element of public policy research is to pay attention to citizens’ feedback, both active and passive, for instance, citizens’ complaints to governments through official channels and on social media. To do this in a computational manner, researchers need a set of keywords, or ‘taxonomy’, by topic or government priorities for example.

But given the rich linguistic and cultural diversity in Indonesia, this poses some difficulties in that many languages and dialects are used in different provinces and islands. On social media, such variations – including jargon – make building a list of keywords more challenging as words, context and, by extension, meaning change from region to region. …(More)”