Global network of ‘hunters’ aim to take down terrorists on the internet


 at The Guardian: “Colonel Kurtz used to spend hours playing social games like Farmville. Now he hunts terrorists on the internet.

The pseudonymous 41-year-old, who runs his own construction company, is one of dozens of volunteer “hunters” to dedicate hours each day trying to identify and infiltrate terror groups online and block the spread of their propaganda.

“We’re trying to save lives and get this crap off the net to keep the next vulnerable kid from seeing propaganda and thinking it’s cool,” said Kurtz.

These hunters plug a gap in social media companies’ ability to keep terrorists off their networks by obsessively tracking and reporting Isis’s most prominent recruiters and propagandists across private messaging apps like Telegram and WhatsApp and public networks like Twitter, Facebook and YouTube. Some of them also provide valuable tip-offs of credible threats to law enforcement.

This type of hunting originated in 2014, when hacktivist collective Anonymous declared “war” on Islamic State with the #OpIsis campaign. The loosely affiliated army of digital activists set out to expose and report Isis supporters on social media, and hack or take down their websites.

Kurtz became a hunter following the November 2015 Paris attack. He had been watching the France-Germany friendly football match online when it was disrupted by loud explosions. That day seven attackers carried out mass shootings and suicide bombings that killed 129 people in France’s capital.

After writing an angry Facebook post about the attack, Kurtz was contacted by a friend and member of Anonymous asking if he’d like to help out with #OpIsis. “It took me a few days to figure things out and after a few weeks I was dropping accounts like flies,” he said.

Out of Anonymous’ #OpIsis there have emerged more considered, organized groups including Ghost Security Group, KDK and a “drama and ego-free” group that Kurtz formed in 2016 after getting tired of the Islamophobia and inaccuracy within the operation…(More).

Troops, Trolls and Troublemakers: A Global Inventory of Organized Social Media Manipulation


Report by Samantha Bradshaw and Philip N. Howard: “Cyber troops are government, military or political party teams committed to manipulating public opinion over social media. In this working paper, we report on specific organizations created, often with public money, to help define and manage what is in the best interest of the public. We compare such organizations across 28 countries, and inventory them according to the kinds of messages, valences and communication strategies used. We catalogue their organizationalforms and evaluate their capacities in terms of budgets and staffing. This working paper summarizes the findings of the first comprehensive inventory of the major organizations behind social media manipulation. We find that cyber troops are a pervasive and global phenomenon. Many different countries employ significant numbers of people and resources to manage and manipulate public opinion online, sometimes targeting domestic audiences and sometimes targeting foreign publics.

  •  The earliest reports of organized social media manipulation emerged in 2010, and by 2017 there are details on such organizations in 28 countries.
  • Looking across the 28 countries, every authoritarian regime has social media campaigns targeting their own populations, while only a few of them target foreign publics. In contrast, almost every democracy in this sample has organized social media campaigns that target foreign publics, while political‐party‐supported campaigns target domestic voters. 
  • Authoritarian regimes are not the only or even the best at organized social media manipulation. The earliest reports of government involvement in nudging public opinion involve democracies, and new innovations in political communication technologies often come from political parties and arise during high‐profile elections.
  • Over time, the primary mode for organizing cyber troops has gone from involving military units that experiment with manipulating public opinion over social media networks to strategic communication firms that take contracts from governments for social media campaigns….(More)”

Civil society and online connectivity: controlling corruption on the net?


Niklas Kossow, Roberto Martínez and Barranco Kukutschka in Crime, Law and Social Change:”Over the past years, an increasing number of studies have looked at the use of internet and communications technology (ICT) in the fight against corruption. While there is broad agreement that ICT tools can be effective in controlling corruption, the mechanisms by which they are doing this are much less clear. This paper attempts to shine some light on this relationship. It focusses on the role of ICT in empowering citizens and supporting civil society. It argues that enlightened citizens can use internet access and social media to inform themselves on corruption, mobilise support for anti-corruption movements and gather information in order to shine a light on particularistic practices. Defining corruption as a collective action problem, the paper provides quantitative evidence to support its claim that ICT can support collective action of an informed citizenry and thus contribute to the control of corruption….(more)”

Justice in Algorithmic Robes


Editorial by Joseph Savirimuthu of a Special Issue of the International Review of Law, Computers & Technology: “The role and impact of algorithms has attracted considerable interest in the media. Its impact is already being reflected in adjustments made in a number of sectors – entertainment, travel, transport, cities and financial services. From an innovation point of view, algorithms enable new knowledge to be created and identify solutions to problems. The emergence of smart sensing technologies, 3D printing, automated systems and robotics is seamlessly being interwoven into discourses such as ‘the collaborative economy’, ‘governance by platforms’ and ‘empowerment’. Innovations such as body worn cameras, fitness trackers, 3D printing, smart meters, robotics and Big Data hold out the promise of a new algorithmic future. However, the shift in focus from natural and scarce resources towards information also makes individuals the objects and the mediated construction of access and knowledge infrastructures now provide the conditions for harnessing value from data. The increasing role of algorithms in environments mediated by technology also coincide with growing inter-disciplinary scholarship voicing concerns about the vulnerability of the values we associate with fundamental freedoms and how these are being algorithmically reconfigured or dismantled in a systematic manner. The themed issue, Justice in Algorithmic Robes, is intended to initiate a dialogue on both the challenges and opportunities as digitalization ushers in a period of transformation that has no immediate parallels in terms of scale, speed and reach. The articles provide different perspectives to the transformation taking place in the digital environment. The contributors offer an inter-disciplinary view of how the digital economy is being invigorated and evaluate the regulatory responses – in particular, how these transformations interact with law. The different spheres covered in Justice in Algorithmic Robes – the relations between the State and individuals, autonomous technology, designing human–computer interactions, infrastructures of trust, accountability in the age of Big Data, and health and wearables – not only reveal the problem of defining spheres of economic, political and social activity, but also highlight how these contexts evolve into structures for dominance, power and control. Re-imagining the role of law does not mean that technology is the problem but the central idea from the contributions is that how we critically interpret and construct Justice in Algorithmic Robes is probably the first step we must take, always mindful of the fact that law may actually reinforce power structures….(Full Issue)”.

The Prospects & Limits of Deliberative Democracy


Introduction by  and  of Special Issue of Daedalus:Democracy is under siege. Approval ratings for democratic institutions in most countries around the world are at near-record lows. The number of recognized democratic countries in the world is no longer expanding after the so-called Third Wave of democratic transitions. Indeed, there is something of a “democratic recession.” Further, some apparently democratic countries with competitive elections are undermining elements of liberal democracy: the rights and liberties that ensure freedom of thought and expression, protection of the rule of law, and all the protections for the substructure of civil society that may be as important for making democracy work as the electoral process itself. The model of party competition-based democracy – the principal model of democracy in the modern era – seems under threat.

That model also has competition. What might be called “meritocratic authoritarianism,” a model in which regimes with flawed democratic processes nevertheless provide good governance, is attracting attention and some support. Singapore is the only successful extant example, although some suggest China as another nation moving in this direction. Singapore is not a Western-style party- and competition-based democracy, but it is well-known for its competent civil servants schooled in making decisions on a cost-benefit basis to solve public problems, with the goals set by elite consultation with input from elections rather than by party competition.

Public discontent makes further difficulties for the competitive model. Democracies around the world struggle with the apparent gulf between political elites who are widely distrusted and mobilized citizens who fuel populism with the energy of angry voices. Disillusioned citizens turning against elites have produced unexpected election results, including the Brexit decision and the 2016 U.S. presidential election.

The competitive elections and referenda of most current democracies depend on mobilizing millions of voters within a context of advertising, social media, and efforts to manipulate as well as inform public opinion. Competing teams want to win and, in most cases, are interested in informing voters only when it is to their advantage. The rationale for competitive democracy, most influentially developed by the late economist Joseph Schumpeter, held that the same techniques of advertising used in the commercial sphere to get people to buy products can be expected in the political sphere. On this view, we should not expect a “genuine” public will, but rather “a manufactured will” that is just a by-product of political competition.

Yet the ideal of democracy as the rule of “the people” is deeply undermined when the will of the people is in large part manufactured. The legitimacy of democracy depends on some real link between the public will and the public policies and office-holders who are selected. Although some have criticized this “folk theory of democracy” as empirically naive, its very status as a folk theory reflects how widespread this normative expectation is.5 To the extent that leaders manufacture the public will, the normative causal arrow goes in the wrong direction. If current democracies cannot produce meaningful processes of public will formation, the legitimacy claims of meritocratic autocracies or even more fully autocratic systems become comparatively stronger.

Over the last two decades, another approach to democracy has become increasingly prominent. Based on greater deliberation among the public and its representatives, deliberative democracy has the potential, at least in theory, to respond to today’s current challenges. If the many versions of a more deliberative democracy live up to their aspirations, they could help revive democratic legitimacy, provide for more authentic public will formation, provide a middle ground between widely mistrusted elites and the angry voices of populism, and help fulfill some of our common normative expectations about democracy.

Can this potential be realized? In what ways and to what extent? Deliberative democracy has created a rich literature in both theory and practice. This issue of Dædalus assesses both its prospects and limits. We include advocates as well as critics. As deliberative democrats, our aim is to stimulate public deliberation about deliberative democracy, weighing arguments for and against its application in different contexts and for different purposes.

How can deliberative democracy, if it were to work as envisaged by its supporters, respond to the challenges just sketched? First, if the more-deliberative institutions that many advocate can be applied to real decisions in actual ongoing democracies, arguably they could have a positive effect on legitimacy and lead to better governance. They could make a better connection between the public’s real concerns and how they are governed. Second, these institutions could help fill the gap between distrusted elites and angry populists. Elites are distrusted in part because they seem and often are unresponsive to the public’s concerns, hopes, and values. Perhaps, the suspicion arises, the elites are really out for themselves. On the other hand, populism stirs up angry, mostly nondeliberative voices that can be mobilized in plebescitary campaigns, whether for Brexit or for elected office. In their contributions to this issue, both Claus Offe and Hélène Landemore explore the crisis of legitimacy in representative government, including the clash between status quo – oriented elites and populism. Deliberative democratic methods open up the prospect of prescriptions that are both representative of the entire population and based on sober, evidence-based analysis of the merits of competing arguments. Popular deliberative institutions are grounded in the public’s values and concerns, so the voice they magnify is not the voice of the elites. But that voice is usually also, after deliberation, more evidence-based and reflective of the merits of the major policy arguments. Hence these institutions fill an important gap.

How might popular deliberative democracy, if it were to work as envisaged by its supporters, fulfill normative expectations of democracy, thought to be unrealistic by critics of the “folk theory”? The issue turns on the empirical possibility that the public can actually deliberate. Can the people weigh the trade-offs? Can they assess competing arguments? Can they connect their deliberations with their voting preferences or other expressions of preference about what should be done? Is the problem that the people are not competent, or that they are not in the right institutional context to be effectively motivated to participate? These are empirical questions, and the controversies about them are part of our dialogue.

This issue includes varying definitions, approaches, and contexts. The root notion is that deliberation requires “weighing” competing arguments for policies or candidates in a context of mutually civil and diverse discussion in which people can decide on the merits of arguments with good information. Is such a thing possible in an era of fake news, social media, and public discussions largely among the like-minded? These are some of the challenges facing those who might try to make deliberative democracy practical….(More)”

The solution to US politics’ Facebook problem is Facebook


Parag Khanna in Quartz: “In just one short decade, Facebook has evolved from a fast-growing platform for sharing classmates’ memories and pet photos to being blamed for Donald Trump’s election victory, promoting hate speech, and accelerating ISIS recruitment. Clearly, Facebook has outgrown its original mission.

It should come as no surprise then that Facebook CEO Mark Zuckerberg has in the past few months issued a long manifesto explaining the company’s broader aim to foster global connectivity, given a commencement speech at Harvard focused on the need for people to feel a meaningful “sense of purpose,” as well as more recently changed the company’s mission to “give people the power to build community and bring the world closer together.”

In truth, Facebook has been doing this all along. In just a three year period between 2011-2014, the average number of international “friends” Facebook members have (whether from rich or poor countries) doubled and in many cases tripled. There is no denying that without Facebook, people would have much less exposure to people they would never meet, and therefore opportunities to gain wider perspectives (irrespective of whether they confirm or contradict one’s own). Then there are charities and NGOs from UNICEF to Human Rights Watch that raise millions of dollars on Facebook and other online platforms such as Avaaz and Change.org.

Facebook has just crossed two billion monthly users, meaning more people express their views on it each month than will vote in all elections in the world this year. That makes Facebook the largest player in wide array of social media tools that are the epicenter–and the lightening rod–for our conversation about technology and politics. Ironically, though, while so many of these innovations come out of the US, the American approach to using digital technology for better governance is at best pathetic…. Sloppy analysis, a cynical Kommentariat and an un-innovative government have led America down the path of ignoring most of the positive ways digital governance can unfold. Fortunately, there are plenty of lessons from around the world for those who care to look and learn.

Citizen engagement is an obvious start. But this should be more than just live-streamed town halls and Q&As in the run-up to elections. European governments such as the UK use Facebook pages to continuously gather policy proposals on public spending priorities. In Estonia, electronic voting is the norm. In the world’s oldest direct democracy, Switzerland, citizen petitions and initiatives are being digitized for even more transparent and inclusive deliberation. In Australia, the Flux movement is allowing all citizens to cast digital ballots on specific policy issues and submit them straight to parliament. Meanwhile, America has the Koch Brothers and the NRA…..

Even governments that are less respected in the West because their regimes do not resemble our own do a better job of harnessing social media. Sheikh Mohammed, ruler of Dubai, uses Facebook to crowdsource suggestions for infrastructure projects and other ideas from a population that is a whopping 90 percent foreign.

Singapore may be the most sophisticated government in this domain. Though the incumbent People’s Action Party (PAP) wins every parliamentary election hands-down, more important is the fact that surveys the public ad nauseam on issues of savings and healthcare, transit routes, immigration policy and just about everything else. Singapore is not Switzerland, but it might be the world’s most responsive government.

This is how governments that appear illegitimate according to a narrow reading of Western political theory boast far higher public satisfaction than most all Western governments today. If you don’t understand this, you probably spend too much time in a filter bubble….

The US should aspire to be a place where democracy and data reinforce rather than contradict each other….(More)

Using Collaboration to Harness Big Data for Social Good


Jake Porway at SSIR: “These days, it’s hard to get away from the hype around “big data.” We read articles about how Silicon Valley is using data to drive everything from website traffic to autonomous cars. We hear speakers at social sector conferences talk about how nonprofits can maximize their impact by leveraging new sources of digital information like social media data, open data, and satellite imagery.

Braving this world can be challenging, we know. Creating a data-driven organization can require big changes in culture and process. Some nonprofits, like Crisis Text Line and Watsi, started off boldly by building their own data science teams. But for the many other organizations wondering how to best use data to advance their mission, we’ve found that one ingredient works better than all the software and tech that you can throw at a problem: collaboration.

As a nonprofit dedicated to applying data science for social good, DataKind has run more than 200 projects in collaboration with other nonprofits worldwide by connecting them to teams of volunteer data scientists. What do the most successful ones have in common? Strong collaborations on three levels: with data science experts, within the organization itself, and across the nonprofit sector as a whole.

1. Collaborate with data science experts to define your project. As we often say, finding problems can be harder than finding solutions. ….

2. Collaborate across your organization to “build with, not for.” Our projects follow the principles of human-centered design and the philosophy pioneered in the civic tech world of “design with, not for.” ….

3. Collaborate across your sector to move the needle. Many organizations think about building data science solutions for unique challenges they face, such as predicting the best location for their next field office. However, most of us are fighting common causes shared by many other groups….

By focusing on building strong collaborations on these three levels—with data experts, across your organization, and across your sector—you’ll go from merely talking about big data to making big impact….(More).

The Politics of Listening: Possibilities and Challenges for Democratic Life


Book by Leah Bassel: “…explores listening as a social and political practice, in contrast to the more common focus on voice and speaking.  The author draws on cases from Canada, France and the United Kingdom, exploring: minority women and debates over culture and religion; riots and young men in France and England; citizen journalism and the creative use of different media; and solidarity between migrant justice and indigenous activists. Analysis across these diverse settings considers whether and how a politics of listening, which demands that the roles of speakers and listeners change, can be undertaken in adversarial and tense political moments. The Politics of Listening argues that such a practice has the potential to create new ways of being and acting together, as political equals who are heard on their own terms….(More)”

News consumption app helps users diversify their sources


Springwise: “In an era where the term ‘fake news’ has become commonplace, news app Read Across the Aisle by US-based BeeLine Reader is designed to help users break out from the ‘filter bubble’ of media sources they are inclined to read from by offering articles from opposing angles. The app, which is Kickstarter funded, hopes to combat political polarization by allowing readers to see the partisan bias of the news sources they are accessing. It tracks the user’s own political news bias over time, and finds reliable new sources from both the left and right wing to offer a reader a well-rounded spectrum of approaches.

Research has found that Internet users, particularly in the realm of news and social media, tend to immerse themselves with those who have similar opinions, meaning other information can be missed or deemed false. App users are informed when their reading habits skew too far to one side of the political spectrum, and are consequently prompted to read articles written by the press from the opposing side.

As the once-popular newspapers have made way for online news consumption, technology to support the industry has excelled. Recent innovations covered by Springwise include a blockchain transparency tool applied to newsfeeds to create algorithms of trustworthy news sources, and a news website that encourages readers to empathise with opposing views….(More)”.

Detecting riots with Twitter


Cardiff University News: “An analysis of data taken from the London riots in 2011 showed that computer systems could automatically scan through Twitter and detect serious incidents, such as shops being broken in to and cars being set alight, before they were reported to the Metropolitan Police Service.

The computer system could also discern information about where the riots were rumoured to take place and where groups of youths were gathering. The new research, published in the peer-review journal ACM Transactions on Internet Technology, showed that on average the computer systems could pick up on disruptive events several minutes before officials and over an hour in some cases.

“Antagonistic narratives and cyber hate”

The researchers believe that their work could enable police officers to better manage and prepare for both large and small scale disruptive events.

Co-author of the study Dr Pete Burnap, from Cardiff University’s School of Computer Science and Informatics, said: “We have previously used machine-learning and natural language processing on Twitter data to better understand online deviance, such as the spread of antagonistic narratives and cyber hate…”

“We will never replace traditional policing resource on the ground but we have demonstrated that this research could augment existing intelligence gathering and draw on new technologies to support more established policing methods.”

Scientists are continually looking to the swathes of data produced from Twitter, Facebook and YouTube to help them to detect events in real-time.

Estimates put social media membership at approximately 2.5 billion non-unique users, and the data produced by these users have been used to predict elections, movie revenues and even the epicentre of earthquakes.

In their study the research team analysed 1.6m tweets relating to the 2011 riots in England, which began as an isolated incident in Tottenham on August 6 but quickly spread across London and to other cities in England, giving rise to looting, destruction of property and levels of violence not seen in England for more than 30 years.

Machine-learning algorithms

The researchers used a series of machine-learning algorithms to analyse each of the tweets from the dataset, taking into account a number of key features such as the time they were posted, the location where they were posted and the content of the tweet itself.

Results showed that the machine-learning algorithms were quicker than police sources in all but two of the disruptive events reported…(More)”.