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)”
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)”.
Index: Collective Intelligence
By Hannah Pierce and Audrie Pirkl
The Living Library Index – inspired by the Harper’s Index – provides important statistics and highlights global trends in governance innovation. This installment focuses on collective intelligence and was originally published in 2017.
The Collective Intelligence Universe
- Amount of money that Reykjavik’s Better Neighbourhoods program has provided each year to crowdsourced citizen projects since 2012: € 2 million (Citizens Foundation)
- Number of U.S. government challenges that people are currently participating in to submit their community solutions: 778 (Challenge.gov).
- Percent of U.S. arts organizations used social media to crowdsource ideas in 2013, from programming decisions to seminar scheduling details: 52% (Pew Research)
- Number of Wikipedia members who have contributed to a page in the last 30 days: over 120,000 (Wikipedia Page Statistics)
- Number of languages that the multinational crowdsourced Letters for Black Lives has been translated into: 23 (Letters for Black Lives)
- Number of comments in a Reddit thread that established a more comprehensive timeline of the theater shooting in Aurora than the media: 1272 (Reddit)
- Number of physicians that are members of SERMO, a platform to crowdsource medical research: 800,000 (SERMO)
- Number of citizen scientist projects registered on SciStarter: over 1,500 (Collective Intelligence 2017 Plenary Talk: Darlene Cavalier)
- Entrants to NASA’s 2009 TopCoder Challenge: over 1,800 (NASA)
Infrastructure
- Number of submissions for Block Holm (a digital platform that allows citizens to build “Minecraft” ideas on vacant city lots) within the first six months: over 10,000 (OpenLearn)
- Number of people engaged to The Participatory Budgeting Project in the U.S.: over 300,000. (Participatory Budgeting Project)
- Amount of money allocated to community projects through this initiative: $238,000,000
Health
- Percentage of Internet-using adults with chronic health conditions that have gone online within the US to connect with others suffering from similar conditions: 23% (Pew Research)
- Number of posts to Patient Opinion, a UK based platform for patients to provide anonymous feedback to healthcare providers: over 120,000 (Nesta)
- Percent of NHS health trusts utilizing the posts to improve services in 2015: 90%
- Stories posted per month: nearly 1,000 (The Guardian)
- Number of tumors reported to the English National Cancer Registration each year: over 300,000 (Gov.UK)
- Number of users of an open source artificial pancreas system: 310 (Collective Intelligence 2017 Plenary Talk: Dana Lewis)
Government
- Number of submissions from 40 countries to the 2017 Open (Government) Contracting Innovation Challenge: 88 (The Open Data Institute)
- Public-service complaints received each day via Indonesian digital platform Lapor!: over 500 (McKinsey & Company)
- Number of registered users of Unicef Uganda’s weekly, SMS poll U-Report: 356,468 (U-Report)
- Number of reports regarding government corruption in India submitted to IPaidaBribe since 2011: over 140,000 (IPaidaBribe)
Business
- Reviews posted since Yelp’s creation in 2009: 121 million reviews (Statista)
- Percent of Americans in 2016 who trust online customer reviews as much as personal recommendations: 84% (BrightLocal)
- Number of companies and their subsidiaries mapped through the OpenCorporates platform: 60 million (Omidyar Network)
Crisis Response
- Number of diverse stakeholders digitally connected to solve climate change problems through the Climate CoLab: over 75,000 (MIT ILP Institute Insider)
- Number of project submissions to USAID’s 2014 Fighting Ebola Grand Challenge: over 1,500 (Fighting Ebola: A Grand Challenge for Development)
- Reports submitted to open source flood mapping platform Peta Jakarta in 2016: 5,000 (The Open Data Institute)
Public Safety
- Number of sexual harassment reports submitted to from 50 cities in India and Nepal to SafeCity, a crowdsourcing site and mobile app: over 4,000 (SafeCity)
- Number of people that used Facebook’s Safety Check, a feature that is being used in a new disaster mapping project, in the first 24 hours after the terror attacks in Paris: 4.1 million (Facebook)
Public Data Is More Important Than Ever–And Now It’s Easier To Find
Meg Miller at Co.Design: “Public data, in theory, is meant to be accessible to everyone. But in practice, even finding it can be near impossible, to say nothing of figuring out what to do with it once you do. Government data websites are often clunky and outdated, and some data is still trapped on physical media–like CDs or individual hard drives.
Tens of thousands of these CDs and hard drives, full of data on topics from Arkansas amusement parks to fire incident reporting, have arrived at the doorstep of the New York-based start-up Enigma over the past four years. The company has obtained thousands upon thousands more datasets by way of Freedom of Information Act (FOIA) requests. Enigma specializes in open data: gathering it, curating it, and analyzing it for insights into a client’s industry, for example, or for public service initiatives.
Enigma also shares its 100,000 datasets with the world through an online platform called Public—the broadest collection of public data that is open and searchable by everyone. Public has been around since Enigma launched in 2013, but today the company is introducing a redesigned version of the site that’s fresher and more user-friendly, with easier navigation and additional features that allow users to drill further down into the data.
But while the first iteration of Public was mostly concerned with making Enigma’s enormous trove of data—which it was already gathering and reformating for client work—accessible to the public, the new site focuses more on linking that data in new ways. For journalists, researchers, and data scientists, the tool will offer more sophisticated ways of making sense of the data that they have access to through Enigma….
…the new homepage also curates featured datasets and collections to enforce a sense of discoverability. For example, an Enigma-curated collection of U.S. sanctions data from the U.S. Treasury Department’s Office of Foreign Assets Control (OFAC) shows data on the restrictions on entities or individuals that American companies can and can’t do business with in an effort to achieve specific national security or foreign policy objectives. A new round of sanctions against Russia have been in the news lately as an effort by President Trump to loosen restrictions on blacklisted businesses and individuals in Russia was overruled by the Senate last week. Enigma’s curated data selection on U.S. sanctions could help journalists contextualize recent events with data that shows changes in sanctions lists over time by presidential administration, for instance–or they could compare the U.S. sanctions list to the European Union’s….(More).
Regulation of Big Data: Perspectives on Strategy, Policy, Law and Privacy
Paper by Pompeu Casanovas, Louis de Koker, Danuta Mendelson and David Watts: “…presents four complementary perspectives stemming from governance, law, ethics, and computer science. Big, Linked, and Open Data constitute complex phenomena whose economic and political dimensions require a plurality of instruments to enhance and protect citizens’ rights. Some conclusions are offered in the end to foster a more general discussion.
This article contends that the effective regulation of Big Data requires a combination of legal tools and other instruments of a semantic and algorithmic nature. It commences with a brief discussion of the concept of Big Data and views expressed by Australian and UK participants in a study of Big Data use in a law enforcement and national security perspective. The second part of the article highlights the UN’s Special Rapporteur on the Right to Privacy interest in the themes and the focus of their new program on Big Data. UK law reforms regarding authorisation of warrants for the exercise of bulk data powers is discussed in the third part. Reflecting on these developments, the paper closes with an exploration of the complex relationship between law and Big Data and the implications for regulation and governance of Big Data….(More)”.
Computational Propaganda Worldwide
Executive Summary: “The Computational Propaganda Research Project at the Oxford Internet Institute, University of Oxford, has researched the use of social media for public opinion manipulation. The team involved 12 researchers across nine countries who, altogether, interviewed 65 experts, analyzed tens of millions posts on seven different social media platforms during scores of elections, political crises, and national security incidents. Each case study analyzes qualitative, quantitative, and computational evidence collected between 2015 and 2017 from Brazil, Canada, China, Germany, Poland, Taiwan, Russia, Ukraine, and the United States.
Computational propaganda is the use of algorithms, automation, and human curation to purposefully distribute misleading information over social media networks. We find several distinct global trends in computational propaganda. •
- Social media are significant platforms for political engagement and crucial channels for disseminating news content. Social media platforms are the primary media over which young people develop their political identities.
- In some countries this is because some companies, such as Facebook, are effectively monopoly platforms for public life. o In several democracies the majority of voters use social media to share political news and information, especially during elections.
- In countries where only small proportions of the public have regular access to social media, such platforms are still fundamental infrastructure for political conversation among the journalists, civil society leaders, and political elites.
- Social media are actively used as a tool for public opinion manipulation, though in diverse ways and on different topics. o In authoritarian countries, social media platforms are a primary means of social control. This is especially true during political and security crises. o In democracies, social media are actively used for computational propaganda either through broad efforts at opinion manipulation or targeted experiments on particular segments of the public.
- In every country we found civil society groups trying, but struggling, to protect themselves and respond to active misinformation campaigns….(More)”.
LSE launches crowdsourcing project inspiring millennials to shape Brexit
LSE Press Release: “A crowdsourcing project inspiring millennials in Britain and the EU to help shape the upcoming Brexit negotiations is being launched by the London School of Economics and Political Science (LSE) this week.
The social media-based project, which hopes to engage 3000 millennials aged 35 and under, kicks off on 23 June, the first anniversary of the life-changing vote to take Britain out of the EU.
One of the Generation Brexit project leaders, Dr Jennifer Jackson-Preece from LSE’s European Institute, said the online platform would give a voice to British and European millennials on the future of Europe in the Brexit negotiations and beyond.
She said: “We’re going to invite millennials from across the UK and Europe to debate, decide and draft policy proposals that will be sent to parliaments in Westminster and Strasbourg during the negotiations.”
Another project leader, Dr Roch Dunin-Wąsowicz, said the pan-European project would seek views from a whole cross section of millennials, including Leavers, Remainers, left and right-wingers, European federalists and nationalists.
“We want to come up with millennial proposals for a mutually beneficial relationship, reflecting the diverse political, cultural, religious and economic backgrounds in the UK and EU.
“We are especially keen to engage the forgotten, the apolitical and the apathetic – for whom Brexit has become a moment of political awakening,” he said.
Generation Brexit follows on the heels of LSE’s Constitution UK crowdsourcing project in 2015, which broke new ground in galvanising people around the country to help shape Britain’s first constitution. The 10-week internet project signed up 1500 people from all corners of the UK to debate how the country should be governed.
Dr Manmit Bhambra, also working on the project, said the success of the Constitution UK platform had laid the foundation for Generation Brexit, with LSE hoping to double the numbers and sign up 3000 participants, split equally between Britain and Europe.
The project can be accessed at www.generationbrexit.org and all updates will be available on Twitter @genbrexit & @lsebrexitvote with the hashtag #GenBrexit, and on facebook.com/GenBrexit… (More)”.
Fly on the Facebook Wall: How UNHCR Listened to Refugees on Social Media
Timo Luege at Social Media for Good: “In “From a Refugee Perspective” UNHCR shows how to conduct meaningful, qualitative social media monitoring in a humanitarian crisis.
Between March and December 2016 the project team (one project manager, one Pashto and Dari speaker, two native Arabic speakers and an English copy editor) monitored Facebook conversations related to flight and migration in the Afghan and Arabic speaking communities.
To do this, the team created Facebook accounts, joined relevant Facebook groups and summarised their findings in weekly monitoring reports to UNHCR staff and other interested people. I received these reports every week while working as the UNHCR team leader for the Communicating with Communities team in Greece and found them very useful since they gave me insights into what were some of the burning issues that week.
The project did not monitor Twitter because Twitter was not widely used by the communities.
In “From a Refugee Perspective” UNHCR has now summarised their findings from the ten-month project. The main thing I really liked about this project is that UNHCR invested the resources for proper qualitative social media monitoring, as opposed to the purely quantitative analyses that we see so often and which rarely go beyond keyword counting. To complement the social media information, the team held focus group and other discussions with refugees who had arrived in Europe. Among other things, these discussion provided information on how the refugees and migrants are consuming and exchanging information (related: see this BBC Media Action report).
Of course, this type of research is much more resource intensive than what most organisations have in mind when they want to do social media monitoring, but this report shows that additional resources can also result in more meaningful information.
Smuggling prices according to monitored Facebook page. Source: From A Refugee Perspective
Monitoring the conversations on Facebook enabled the team to track trends, such as the rise and fall of prices that smugglers asked for different routes (see image). In addition, it provided fascinating insights into how smugglers are selling their services online….(More)”
Citizen Participation: A Critical Look at the Democratic Adequacy of Government Consultations
The Digital Footprint of Europe’s Refugees
Pew Research Center: “Migrants leaving their homes for a new country often carry a smartphone to communicate with family that may have stayed behind and to help search for border crossings, find useful information about their journey or search for details about their destination. The digital footprints left by online searches can provide insight into the movement of migrants as they transit between countries and settle in new locations, according to a new Pew Research Center analysis of refugee flows between the Middle East and Europe.1
Refugees from just two Middle Eastern countries — Syria and Iraq — made up a combined 38% of the record 1.3 million people who arrived and applied for asylum in the European Union, Norway and Switzerland in 2015 and a combined 37% of the 1.2 million first-time asylum applications in 2016. Most Syrian and Iraqi refugees during this period crossed from Turkey to Greece by sea, before continuing on to their final destinations in Europe.
Since many refugees from Syria and Iraq speak Arabic as their native, if not only, language, it is possible to identify key moments in their migration by examining trends in internet searches conducted in Turkey using Arabic, as opposed to the dominant Turkic languages in that country. For example, Turkey-based searches for the word “Greece” in Arabic closely mirror 2015 and 2016 fluctuations in the number of refugees crossing the Aegean Sea to Greece. The searches also provide a window into how migrants planned to move across borders — for example, the search term “Greece” was often combined with “smuggler.” In addition, an hourly analysis of searches in Turkey shows spikes in the search term “Greece” during early morning hours, a typical time for migrants making their way across the Mediterranean.
Comparing online searches with migration data
This report’s analysis compares data from internet searches with government and international agency refugee arrival and asylum application data in Europe from 2015 and 2016. Internet searches were captured from Google Trends, a publicly-available analytical tool that standardizes search volume by language and location over time. The analysis examines searches in Arabic, done in Turkey and Germany, for selected words such as “Greece” or “German” that can be linked to migration patterns. For a complete list of search terms employed, see the methodology. Google releases hourly, daily and weekly search data.
Google does not release the actual number of searches conducted but provides a metric capturing the relative change in searches over a specified time period. The metric ranges from 0 to 100 and indicates low- or high-volume search activity for the time period. Predicting or deciphering human behavior from the analysis of internet searches has limitations and remains experimental. But, internet search data does offer a potentially promising way to explore migration flows crossing international borders.
Migration data cited in this report come from two sources. The first is the United Nations High Commissioner for Refugees (UNHCR), which provides data on new arrivals into Greece on a monthly basis. The second is first-time asylum applications from Eurostat, Europe’s statistical agency. Since both Syrian and Iraqi asylum seekers have had fairly high acceptance rates in Europe, it is likely that most Syrian and Iraqi migrants entering during 2015 and 2016 were counted by UNHCR and applied for asylum with European authorities.
The unique circumstances of this Syrian and Iraqi migration — the technology used by refugees, the large and sudden movement of refugees and language groups in transit and destination countries — presents a unique opportunity to integrate the analysis of online searches and migration data. The conditions that permit this type of analysis may not apply in other circumstances where migrants are moving between countries….(More)”