Introduction by Rasmus Helles and Klaus Bruhn Jensen: “Data are widely understood as minimal units of information about the world, waiting to be found and collected by scholars and other analysts. With the recent prominence of ‘big data’ (Mayer–Schönberger and Cukier, 2013), the assumption that data are simply available and plentiful has become more pronounced in research as well as public debate. Challenging and reflecting on this assumption, the present special issue considers how data are made. The contributors take big data and other characteristic features of the digital media environment as an opportunity to revisit classic issues concerning data — big and small, fast and slow, experimental and naturalistic, quantitative and qualitative, found and made.
Data are made in a process involving multiple social agents — communicators, service providers, communication researchers, commercial stakeholders, government authorities, international regulators, and more. Data are made for a variety of scholarly and applied purposes, oriented by knowledge interests (Habermas, 1971). And data are processed and employed in a whole range of everyday and institutional contexts with political, economic, and cultural implications. Unfortunately, the process of generating the materials that come to function as data often remains opaque and certainly under–documented in the published research.
The following eight articles seek to open up some of the black boxes from which data can be seen to emerge. While diverse in their theoretical and topical focus, the articles generally approach the making of data as a process that is extended in time and across spatial and institutional settings. In the common culinary metaphor, data are repeatedly processed, rather than raw. Another shared point of attention is meta–data — the type of data that bear witness to when, where, and how other data such as Web searches, e–mail messages, and phone conversations are exchanged, and which have taken on new, strategic importance in digital media. Last but not least, several of the articles underline the extent to which the making of data as well as meta–data is conditioned — facilitated and constrained — by technological and institutional structures that are inherent in the very domain of analysis. Researchers increasingly depend on the practices and procedures of commercial entities such as Google and Facebook for their research materials, as illustrated by the pivotal role of application programming interfaces (API). Research on the Internet and other digital media also requires specialized tools of data management and analysis, calling, once again, for interdisciplinary competences and dialogues about ‘what the data show.’”
See Table of Contents
The move toward 'crowdsourcing' public safety
PhysOrg: “Earlier this year, Martin Dias, assistant professor in the D’Amore-McKim School of Business, presented research for the National Law Enforcement Telecommunications System in which he examined Nlets’ network and how its governance and technology helped enable inter-agency information sharing. This work builds on his research aimed at understanding design principles for this public safety “social networks” and other collaborative networks. We asked Dias to discuss how information sharing around public safety has evolved in recent years and the benefits and challenges of what he describes as “crowdsourcing public safety.” …
What is “crowdsourcing public safety” and why are public safety agencies moving toward this trend?
Crowdsourcing—the term coined by our own assistant professor of journalism Jeff Howe—involves taking a task or job traditionally performed by a distinct agent, or employee, and having that activity be executed by an “undefined, generally large group of people in an open call.” Crowdsourcing public safety involves engaging and enabling private citizens to assist public safety professionals in addressing natural disasters, terror attacks, organized crime incidents, and large-scale industrial accidents.
Public safety agencies have long recognized the need for citizen involvement. Tip lines and missing persons bulletins have been used to engage citizens for years, but with advances in mobile applications and big data analytics, the ability of public safety agencies to receive, process, and make use of high volume, tips, and leads makes crowdsourcing searches and investigations more feasible. You saw this in the FBI Boston Marathon Bombing web-based Tip Line. You see it in the “See Something Say Something” initiatives throughout the country. You see it in AMBER alerts or even remote search and rescue efforts. You even see it in more routine instances like Washington State’s HERO program to reduce traffic violations.
Have these efforts been successful, and what challenges remain?
There are a number of issues to overcome with regard to crowdsourcing public safety—such as maintaining privacy rights, ensuring data quality, and improving trust between citizens and law enforcement officers. Controversies over the National Security Agency’s surveillance program and neighborhood watch programs – particularly the shooting death of teenager Trayvon Martin by neighborhood watch captain George Zimmerman, reflect some of these challenges. It is not clear yet from research the precise set of success criteria, but those efforts that appear successful at the moment have tended to be centered around a particular crisis incident—such as a specific attack or missing person. But as more crowdsourcing public safety mobile applications are developed, adoption and use is likely to increase. One trend to watch is whether national public safety programs are able to tap into the existing social networks of community-based responders like American Red Cross volunteers, Community Emergency Response Teams, and United Way mentors.
The move toward crowdsourcing public safety is part of an overall trend toward improving community resilience, which refers to a system’s ability to bounce back after a crisis or disturbance. Stephen Flynn and his colleagues at Northeastern’s George J. Kostas Research Institute for Homeland Security are playing a key role in driving a national conversation in this area. Community resilience is inherently multi-disciplinary, so you see research being done regarding transportation infrastructure, social media use after a crisis event, and designing sustainable urban environments. Northeastern is a place where use-inspired research is addressing real-world problems. It will take a village to improve community resilience capabilities, and our institution is a vital part of thought leadership for that village.”
Twitter Datastream Used to Predict Flu Outbreaks
arXivBlog: “The rate at which people post flu-related tweets could become a powerful tool in the battle to spot epidemics earlier, say computer scientists.
Back in 2008, Google launched its now famous flu trends website. It works on the hypothesis that people make more flu-related search queries when they are suffering from the illness than when they are healthy. So counting the number of flu-related search queries in a given country gives a good indication of how the virus is spreading.The predictions are pretty good. The data generally closely matches that produced by government organisations such as the Centers for Disease Control and Prevention (CDC) in the US. Indeed, in some cases, it has been able to spot an incipient epidemic more than a week before the CDC.
That’s been hugely important. An early indication that the disease is spreading in a population gives governments a welcome headstart in planning its response.
So an interesting question is whether other online services, in particular social media, can make similar or even better predictions. Today, we have an answer thanks to the work of Jiwei Li at Carnegie Mellon University in Pittsburgh, and Claire Cardie at Cornell University in New York State, who have been able to detect the early stages of an influenza outbreak using Twitter.
Their approach is in many ways similar to Google’s. They simply filter the Twitter datastream for flu-related tweets that are also geotagged. That allows them to create a map showing the distribution of these tweets and how it varies over time.
They also model the dynamics of the disease with some interesting subtleties. In the new model, a flu epidemic can be in one of four phases: non-epidemic phase, a rising phase where numbers are increasing, a stationary phase and a declining phase where numbers are falling.
The new approach uses an algorithm that attempts to spot the switch from one phase to another as early as possible. Indeed, Li and Cardie test the effectiveness of their approach using a Twitter dataset of 3.6 million flu-related tweets from about 1 million people in the US between June 2008 and June 2010…
Ref: arxiv.org/abs/1309.7340: Early Stage Influenza Detection from Twitter”
Data Discrimination Means the Poor May Experience a Different Internet
MIT Technology Review: “Data analytics are being used to implement a subtle form of discrimination, while anonymous data sets can be mined to reveal health data and other private information, a Microsoft researcher warned this morning at MIT Technology Review’s EmTech conference.
Kate Crawford, principal researcher at Microsoft Research, argued that these problems could be addressed with new legal approaches to the use of personal data.
In a new paper, she and a colleague propose a system of “due process” that would give people more legal rights to understand how data analytics are used in determinations made against them, such as denial of health insurance or a job. “It’s the very start of a conversation about how to do this better,” Crawford, who is also a visiting professor at the MIT Center for Civic Media, said in an interview before the event. “People think ‘big data’ avoids the problem of discrimination, because you are dealing with big data sets, but in fact big data is being used for more and more precise forms of discrimination—a form of data redlining.”
During her talk this morning, Crawford added that with big data, “you will never know what those discriminations are, and I think that’s where the concern begins.”
The Best American Infographics 2013
New book by Gareth Cook: “The rise of infographics across virtually all print and electronic media—from a striking breakdown of classic cocktails to a graphic tracking 200 influential moments that changed the world to visually arresting depictions of Twitter traffic—reveals patterns in our lives and our world in fresh and surprising ways. In the era of big data, where information moves faster than ever, infographics provide us with quick, often influential bursts of art and knowledge—on the environment, politics, social issues, health, sports, arts and culture, and more—to digest, to tweet, to share, to go viral.
The Best American Infographics captures the finest examples from the past year, including the ten best interactive infographics, of this mesmerizing new way of seeing and understanding our world.”
See also selection of some in Wired.
Crowdfunding in the EU – exploring the added value of potential EU action
Press Release: “Following the Workshop on Crowdfunding organised on 3 June 2013 in Brussels, the European Commission has today launched a consultation inviting stakeholders to share their views about crowdfunding: its potential benefits, risks, and the design of an optimal policy framework to untap the potential of this new form of financing…
Whereas many crowdfunding campaigns are local in nature, others would benefit from easier access to financing within a single European market. But to make sure crowdfunding is not just a momentary trend that fades away, but rather a sustainable source of financing for new European projects, certain safeguards are needed, in particular to ensure people’s trust. The ultimate objective of this consultation is to gather data about the needs of market participants and to identify the areas in which there is a potential added value in EU action to encourage the growth of this new industry, either through facilitative, soft-law measures or legislative action.
The consultation covers all forms of crowdfunding, ranging from donations and rewards to financial investments. Everyone is invited to share their opinion and fill in the on-line questionnaire, including citizens who might contribute to crowdfunding campaigns and entrepreneurs who might launch such campaigns. National authorities and crowdfunding platforms are also particularly encouraged to reply. The consultation will run until 31 December 2013.
See also MEMO/13/847
The consultation is available at:
http://ec.europa.eu/internal_market/consultations/2013/crowdfunding/index_en.htm
Further information:
Workshop on Crowdfunding – 3 June 2013
http://ec.europa.eu/internal_market/conferences/2013/0603-crowdfunding-workshop/
Commissioner Barnier’s speech at the Workshop on Crowdfunding
SPEECH/13/492″
If big data is an atomic bomb, disarmament begins in Silicon Valley
Derrick Harris at GigaOM: “Big data is like atomic energy, according to scientist Albert-László Barabási in a Monday column on Politico. It’s very beneficial when used ethically, and downright destructive when turned into a weapon. He argues scientists can help resolve the damage done by government spying by embracing the principles of nuclear nonproliferation that helped bring an end to Cold War fears and distrust.
Barabási’s analogy is rather poetic:
“Powered by the right type of Big Data, data mining is a weapon. It can be just as harmful, with long-term toxicity, as an atomic bomb. It poisons trust, straining everything from human relations to political alliances and free trade. It may target combatants, but it cannot succeed without sifting through billions of data points scraped from innocent civilians. And when it is a weapon, it should be treated like a weapon.”
I think he’s right, but I think the fight to disarm the big data bomb begins in places like Silicon Valley and Madison Avenue. And it’s not just scientists; all citizens should have a role…
I write about big data and data mining for a living, and I think the underlying technologies and techniques are incredibly valuable, even if the applications aren’t always ideal. On the one hand, advances in machine learning from companies such as Google and Microsoft are fantastic. On the other hand, Facebook’s newly expanded Graph Search makes Europe’s proposed right-to-be-forgotten laws seem a lot more sensible.
But it’s all within the bounds of our user agreements and beauty is in the eye of the beholder.
Perhaps the reason we don’t vote with our feet by moving to web platforms that embrace privacy, even though we suspect it’s being violated, is that we really don’t know what privacy means. Instead of regulating what companies can and can’t do, perhaps lawmakers can mandate a degree of transparency that actually lets users understand how data is being used, not just what data is being collected. Great, some company knows my age, race, ZIP code and web history: What I really need to know is how it’s using that information to target, discriminate against or otherwise serve me.
An intelligent national discussion about the role of the NSA is probably in order. For all anyone knows, it could even turn out we’re willing to put up with more snooping than the goverment might expect. But until we get a handle on privacy from the companies we choose to do business with, I don’t think most Americans have the stomach for such a difficult fight.”
More Top-Down Participation, Please! Institutionalized empowerment through open participation
Michelle Ruesch and Oliver Märker in DDD: “…this is not another article on the empowering potential of bottom-up digital political participation. Quite the contrary: It instead seeks to stress the empowering potential of top-down digital political participation. Strikingly, the democratic institutionalization of (digital) political participation is rarely considered when we speak about power in the context of political participation. Wouldn’t it be true empowerment though if the right of citizens to speak their minds were directly integrated into political and administrative decision-making processes?
Institutionalized political participation
Political participation, defined as any act that aims to influence politics in some way, can be initiated either by citizens, referred to as “bottom-up” participation, or by government, often referred to as “top-down” participation. For many, the word “top-down” instantly evokes negative connotations, even though top-down participatory spaces are actually the foundation of democracy. These are the spaces of participation offered by the state and guaranteed by democratic constitutions. For a long time, top-down participation could be equated with formal democratic participation such as elections, referenda or party politics. Today, however, in states like Germany we can observe a new form of top-down political participation, namely government-initiated participation that goes beyond what is legally required and usually makes extensive use of digital media.
Like many other Western states, Germany has to cope with decreasing voter turnout and a lack of trust in political parties. At the same time, according to a recent study from 2012, two-thirds of eligible voters would like to be more involved in political decisions. The case of “Stuttgart 21” served as a late wake-up call for many German municipalities. Plans to construct a new train station in the center of the city of Stuttgart resulted in a petition for a local referendum, which was rejected. Protests against the train station culminated in widespread demonstrations in 2010, forcing construction to be halted. Even though a referendum was finally held in 2011 and a slight majority voted in favor of the train station, the Stuttgart 21 case has since been cited by Chancellor Angela Merkel and others as an example of the negative consequences of taking decisions without consulting with citizens early on. More and more municipalities and federal ministries in Germany have therefore started acknowledging that the conventional democratic model of participation in elections every few years is no longer sufficient. The Federal Ministry of Transport, Building and Urban Development, for example, published a manual for “good participation” in urban development projects….
What’s so great about top-down participation?
Semi-formal top-down participation processes have one major thing in common, regardless of the topic they address: Governmental institutions voluntarily open up a space for dialogue and thereby obligate themselves to take citizens’ concerns and ideas into account.
As a consequence, government-initiated participation offers the potential for institutionalized empowerment beyond elections. It grants the possibility of integrating participation into political and administrative decision-making processes….
Bottom-up participation will surely always be an important mobilizer of democratic change. Nevertheless, the provision of spaces of open participation by governments can aid in the institutionalization of citizens’ involvement in political decision-making. Had Stuttgart offered an open space of participation early in the train station construction process, maybe protests would never have escalated the way they did.
So is top-down participation the next step in the process of democratization? It could be, but only under certain conditions. Most importantly, top-down open participation requires a genuine willingness to abandon the old principle of doing business behind closed doors. This is not an easy undertaking; it requires time and endurance. Serious open participation also requires creating state institutions that ensure the relevance of the results by evaluating them and considering them in political decisions. We have formulated ten conditions that we consider necessary for the genuine institutionalization of open political participation [14]:
- There needs to be some scope for decision-making. Top-down participation only makes sense when the results of the participation can influence decisions.
- The government must genuinely aim to integrate the results into decision-making processes.
- The limits of participation must be communicated clearly. Citizens must be informed if final decision-making power rests with a political body, for example.
- The subject matter, rules and procedures need to be transparent.
- Citizens need to be aware that they have the opportunity to participate.
- Access to participation must be easy, the channels of participation chosen according to the citizens’ media habits. Using the Internet should not be a goal in itself.
- The participatory space should be “neutral ground”. A moderator can help ensure this.
- The set-up must be interactive. Providing information is only a prerequisite for participation.
- Participation must be possible without providing real names or personal data.
- Citizens must receive continuous feedback regarding how results are handled and the implementation process.”
Smart Cities Turn Big Data Into Insight [Infographic]
Mark van Rijmenam in SmartDataCollective: “Cities around the globe are confronted with growing populations, aging infrastructure, reduced budgets, and the challenge of doing more with less. Applying big data technologies within cities can provide valuable insights that can keep a city habitable. The City of Songdo is a great example of a connected city, where all connected devices create a smart city that is optimized for the every-changing conditions in that same city. IBM recently released an infographic showing the vast opportunities of smart cities and the possible effects on the economy.”
Where in the World are Young People Using the Internet?
Georgia Tech: “According to a common myth, today’s young people are all glued to the Internet. But in fact, only 30 percent of the world’s youth population between the ages of 15 and 24 years old has been active online for at least five years. In South Korea, 99.6 percent of young people are active, the highest percentage in the world. The least? The Asian island of Timor Leste with less than 1 percent.
Digital natives as a percentage of total population, 2012 (Courtesy: ITU)
Those are among the many findings in a study from the Georgia Institute of Technology and International Telecommunication Union (ITU). The study is the first attempt to measure, by country, the world’s “digital natives.” The term is typically used to categorize young people born around the time the personal computer was introduced and have spent their lives connected with technology.
Nearly 96 percent of American millennials are digital natives. That figure is behind Japan (99.5 percent) and several European countries, including Finland, Denmark and the Netherlands.
But the percentage that Georgia Tech Associate Professor Michael Best thinks is the most important is the number of digital natives as compared to a country’s total population….
The countries with the highest proportion of digital natives among their population are mostly rich nations, which have high levels of overall Internet penetration. Iceland is at the top of the list with 13.9 percent. The United States is sixth (13.1 percent). A big surprise is Malaysia, a middle-income country with one of the highest proportions of digital natives (ranked 4th at 13.4 percent). Malaysia has a strong history of investing in educational technology.
The countries with the smallest estimated proportion of digital natives are Timor-Leste, Myanmar and Sierra Leone. The bottom 10 consists entirely of African or Asian nations, many of which are suffering from conflict and/or have very low Internet availability.”