This book brings together the theory and practice of managing public trust. It examines the current state of public trust, including a comprehensive global overview of both the research and practical applications of managing public trust by presenting research from seven countries (Brazil, Finland, Poland, Hungary, Portugal, Taiwan, Turkey) from three continents. The book is divided into five parts, covering the meaning of trust, types, dimension and the role of trust in management; the organizational challenges in relation to public trust; the impact of social media on the development of public trust; the dynamics of public trust in business; and public trust in different cultural contexts….(More)”.
Social media and Government
Introduction to Special Issue of First Monday by Rodrigo Sandoval-Almazan and Andrea L. Kavanaugh: “The use of social media by public administration has been growing steadily, and fostering important transformations in organization, costs, citizen interaction and efficiency. Citizens are increasingly more informed about government activities, performance, and claims solutions. Citiizens and non-profit organizations are in greater communication with each other about government planning and response to complex and collective problems. Social media, such as Facebook, Twitter, You Tube and WhatsApp, as well as related tools, such as commenting, liking, tagging and rating, change the distribution of information, power and resources. The growing maturity of public officials in the use of these tools not only creates new opportunities, but also engenders problems. Many politicians, public officials and public servants are seeking ways to adapt their daily operations and practices to make effective use of social media for interaction with non-governmental organizations and with citizens and to provide information and services more efficiently. The papers in this special issue on social media and government capture the current state of some of these opportunities and problems…
Engaging a community through social media-based topics and interactions by Andrea L. Kavanaugh, Ziqian Song
Public employees in social media communities: Exploring factors for internal collaboration using social network analysis by J. Ignacio Criado, Julián Villodre
Citizens’ use of microblogging and government communication during emergencies: A case study on water contamination in Shanghai by Qianli Yuan, Mila Gascó
Hacktivism and distributed hashtag spoiling on Twitter: Tales of the #IranTalks by Mahdi M. Najafabadi, Robert J. Domanski
Information strategies and affective reactions: How citizens interact with government social media content by Nic DePaula, Ersin Dincelli
Towards an understanding of Twitter networks: The case of the state of Mexico by Rodrigo Sandoval-Almazán, David Valle-Cruz”
TwitterSensing: An Event-Based Approach for Wireless Sensor Networks Optimization Exploiting Social Media in Smart City Applications
Paper by Daniel G. Costa et al in Sensors: “Modern cities are subject to periodic or unexpected critical events, which may bring economic losses or even put people in danger. When some monitoring systems based on wireless sensor networks are deployed, sensing and transmission configurations of sensor nodes may be adjusted exploiting the relevance of the considered events, but efficient detection and classification of events of interest may be hard to achieve.
In Smart City environments, several people spontaneously post information in social media about some event that is being observed and such information may be mined and processed for detection and classification of critical events. This article proposes an integrated approach to detect and classify events of interest posted in social media, notably in Twitter, and the assignment of sensing priorities to source nodes. By doing so, wireless sensor networks deployed in Smart City scenarios can be optimized for higher efficiency when monitoring areas under the influence of the detected events….(More)”.
On Digital Passages and Borders: Refugees and the New Infrastructure for Movement and Control
Paper by Mark Latonero and Paula Kift: “Since 2014, millions of refugees and migrants have arrived at the borders of Europe. This article argues that, in making their way to safe spaces, refugees rely not only on a physical but increasingly also digital infrastructure of movement. Social media, mobile devices, and similar digitally networked technologies comprise this infrastructure of “digital passages”—sociotechnical spaces of flows in which refugees, smugglers, governments, and corporations interact with each other and with new technologies. At the same time, a digital infrastructure for movement can just as easily be leveraged for surveillance and control. European border policies, in particular, instantiate digital controls over refugee movement and identity. We review the actors, technologies, and policies of movement and control in the EU context and argue that scholars, policymakers, and the tech community alike should pay heed to the ethics of the use of new technologies in refugee and migration flows….(More)”.
How Democracy Can Survive Big Data
Colin Koopman in The New York Times: “…The challenge of designing ethics into data technologies is formidable. This is in part because it requires overcoming a century-long ethos of data science: Develop first, question later. Datafication first, regulation afterward. A glimpse at the history of data science shows as much.
The techniques that Cambridge Analytica uses to produce its psychometric profiles are the cutting edge of data-driven methodologies first devised 100 years ago. The science of personality research was born in 1917. That year, in the midst of America’s fevered entry into war, Robert Sessions Woodworth of Columbia University created the Personal Data Sheet, a questionnaire that promised to assess the personalities of Army recruits. The war ended before Woodworth’s psychological instrument was ready for deployment, but the Army had envisioned its use according to the precedent set by the intelligence tests it had been administering to new recruits under the direction of Robert Yerkes, a professor of psychology at Harvard at the time. The data these tests could produce would help decide who should go to the fronts, who was fit to lead and who should stay well behind the lines.
The stakes of those wartime decisions were particularly stark, but the aftermath of those psychometric instruments is even more unsettling. As the century progressed, such tests — I.Q. tests, college placement exams, predictive behavioral assessments — would affect the lives of millions of Americans. Schoolchildren who may have once or twice acted out in such a way as to prompt a psychometric evaluation could find themselves labeled, setting them on an inescapable track through the education system.
Researchers like Woodworth and Yerkes (or their Stanford colleague Lewis Terman, who formalized the first SAT) did not anticipate the deep consequences of their work; they were too busy pursuing the great intellectual challenges of their day, much like Mr. Zuckerberg in his pursuit of the next great social media platform. Or like Cambridge Analytica’s Christopher Wylie, the twentysomething data scientist who helped build psychometric profiles of two-thirds of all Americans by leveraging personal information gained through uninformed consent. All of these researchers were, quite understandably, obsessed with the great data science challenges of their generation. Their failure to consider the consequences of their pursuits, however, is not so much their fault as it is our collective failing.
For the past 100 years we have been chasing visions of data with a singular passion. Many of the best minds of each new generation have devoted themselves to delivering on the inspired data science promises of their day: intelligence testing, building the computer, cracking the genetic code, creating the internet, and now this. We have in the course of a single century built an entire society, economy and culture that runs on information. Yet we have hardly begun to engineer data ethics appropriate for our extraordinary information carnival. If we do not do so soon, data will drive democracy, and we may well lose our chance to do anything about it….(More)”.
The Age of Perplexity: Rethinking the World we Knew
BVBA Open Access Book: “The impact of globalization, of technological progress and of the insecurity that they cause is reflected in people’s decisions, and by the path that our society is following. This path that will decide our future, in the sense that it will determine our capability of facing the challenges and taking advantage of the opportunities offered up by the advances in science and technology.
In this book, we look at generalized subjects, taking in the transformation that computing and the greater availability of information brings to our perceptions and understanding of things, and in the social imaginaries, that shape our attitudes and reactions to the events that we observe.
All this underpins the changes in politics we are witnessing, the appearance of populist movements or, more generally, the lack of commitment or disaffection with political institutions and the values that support the existing democracies. In these arenas, the new digital media, new types of digital political activism, and the rise of movements that question the dominant economic and political paradigm all play a key role.
In the supranational and geopolitical level we discuss the importance of incorporating a feminist perspective to international relations (as well, of course, as to all the spheres of human activity); new types of warfare, in which neither the contenders, strategies or media resemble anything we knew before; the huge geopolitical challenge represented by the complex and diverse Arab Islamic question; the end of the brief unipolar world era, with the emergence of powers that question the United States’ hegemony, among which we highlight China; or the future role of Latin America in the global map.
Regarding the economic questions that are at the root of the current perplexity, insecurity and discontent, we examine the impact of globalization and technological change on growth, the welfare state and, above all, employment.
From this base, we look at which are the most suitable economic policies and forms of organization for harnessing the potential of the digital revolution, and also for minimizing the risks of a society with increasing inequality, with a huge number of jobs taken over by machines, or even the loss of control of individual or collective decisions.
This technological revolution will undoubtedly require a complex transition process, but we also have before us a wonderful opportunity to better tend to the needs and demands of people: with more growth, jobs and a fairer distribution of wealth, and a richer and fuller life for the whole of humanity….(More)”.
The People vs. Democracy: Why Our Freedom Is in Danger and How to Save It
Book by Yascha Mounk: “The world is in turmoil. From India to Turkey and from Poland to the United States, authoritarian populists have seized power. As a result, Yascha Mounk shows, democracy itself may now be at risk.
Two core components of liberal democracy—individual rights and the popular will—are increasingly at war with each other. As the role of money in politics soared and important issues were taken out of public contestation, a system of “rights without democracy” took hold. Populists who rail against this say they want to return power to the people. But in practice they create something just as bad: a system of “democracy without rights.”
The consequence, Mounk shows in The People vs. Democracy, is that trust in politics is dwindling. Citizens are falling out of love with their political system. Democracy is wilting away. Drawing on vivid stories and original research, Mounk identifies three key drivers of voters’ discontent: stagnating living standards, fears of multiethnic democracy, and the rise of social media. To reverse the trend, politicians need to enact radical reforms that benefit the many, not the few.
The People vs. Democracy is the first book to go beyond a mere description of the rise of populism. In plain language, it describes both how we got here and where we need to go. For those unwilling to give up on either individual rights or the popular will, Mounk shows, there is little time to waste: this may be our last chance to save democracy….(More)”
Can Social Media Help Build Communities?
Paper by Eric Forbush and Nicol Turner-Lee: “In June 2017, Mark Zuckerberg proclaimed a new mission for Facebook, which was to “[g]ive people the power to build community and bring the world closer together” during the company’s first Community Summit. Yet, his declaration comes in the backdrop of a politically polarized America. While research has indicated that ideological polarization (the alignment and divergence of ideologies) has remained relatively unchanged, affective polarization (the degree to which Democrats and Republicans dislike each other) has skyrocketed (Gentzkow, 2016; Lelkes, 2016). This dislike for members of the opposite party may be amplified on social media platforms.
Social media have been accused of making our social networks increasingly insular, resulting in “echo chambers,” wherein individuals select information and friends who support their already held beliefs (Quattrociocchi, Scala, and Sunstein, 2016; Williams, McMurray, Kurz, and Lambert, 2015). However, the implicit message in Zuckerberg’s comments, and other leaders in this space, is that social media can provide users with a means for brokering relationships with other users that hold different values and beliefs from them. However, little is known on the extent to which social media platforms enable these opportunities.
Theories of prejudice reduction (Paluck and Green, 2009) partially explain an idealistic outcome of improved online relationships. In his seminal contact theory, Gordon Allport (1954) argued that under certain optimal conditions, all that is needed to reduce prejudice is for members of different groups to spend more time interacting with each other. However, contemporary social media platforms may not be doing enough to increase intergroup engagements, especially between politically polarized communities on issues of importance.
In this paper, we use Twitter data collected over a 20-day period, following the Day of Action for Net Neutrality on July 12, 2017. In support of a highly polarized regulatory issue, the Day of Action was organized by advocacy groups and corporations in support of an open internet, which does not discriminate against online users when accessing their preferred content. Analyzing 81,316 tweets about #netneutrality from 40,502 distinct users, we use social network analysis to develop network visualizations and conduct discrete content analysis of central tweets. Our research also divides the content by those in support and those opposed to any type of repeal of net neutrality rules by the FCC.
Our analysis of this particular issue reveals that social media is merely replicating, and potentially strengthening polarization on issues by party affiliations and online associations. Consequently, the appearance of mediators who are able to bridge online conversations or beliefs on charged issues appear to be nonexistent on both sides of the issue. Consequently, our findings suggest that social media companies may not be doing enough to bring communities together through meaningful conversations on their platforms….(More)”.
Cambridge Analytica scandal: legitimate researchers using Facebook data could be collateral damage
The scandal that has erupted around Cambridge Analytica’s alleged harvesting of 50m Facebook profiles assembled from data provided by a UK-based academic and his company is a worrying development for legitimate researchers.
Political data analytics company Cambridge Analytica – which is affiliated with Strategic Communication Laboratories (SCL) – reportedly used Facebook data, after it was handed over by Aleksandr Kogan, a lecturer at the University of Cambridge’s department of psychology.
Kogan, through his company Global Science Research (GSR) – separate from his university work – gleaned the data from a personality test app named “thisisyourdigitallife”. Roughly 270,000 US-based Facebook users voluntarily responded to the test in 2014. But the app also collected data on those participants’ Facebook friends without their consent.
This was possible due to Facebook rules at the time that allowed third-party apps to collect data about a Facebook user’s friends. The Mark Zuckerberg-run company has since changed its policy to prevent such access to developers….
Social media data is a rich source of information for many areas of research in psychology, technology, business and humanities. Some recent examples include using Facebook to predict riots, comparing the use of Facebook with body image concern in adolescent girls and investigating whether Facebook can lower levels of stress responses, with research suggesting that it may enhance and undermine psycho-social constructs related to well-being.
It is right to believe that researchers and their employers value research integrity. But instances where trust has been betrayed by an academic – even if it’s the case that data used for university research purposes wasn’t caught in the crossfire – will have a negative impact on whether participants will continue to trust researchers. It also has implications for research governance and for companies to share data with researchers in the first place.
Universities, research organisations and funders govern the integrity of research with clear and strict ethics proceduresdesigned to protect participants in studies, such as where social media data is used. The harvesting of data without permission from users is considered an unethical activity under commonly understood research standards.
The fallout from the Cambridge Analytica controversy is potentially huge for researchers who rely on social networks for their studies, where data is routinely shared with them for research purposes. Tech companies could become more reluctant to share data with researchers. Facebook is already extremely protective of its data – the worry is that it could become doubly difficult for researchers to legitimately access this information in light of what has happened with Cambridge Analytica….(More)”.
Artificial Intelligence and the Need for Data Fairness in the Global South
Medium blog by Yasodara Cordova: “…The data collected by industry represents AI opportunities for governments, to improve their services through innovation. Data-based intelligence promises to increase the efficiency of resource management by improving transparency, logistics, social welfare distribution — and virtually every government service. E-government enthusiasm took of with the realization of the possible applications, such as using AI to fight corruption by automating the fraud-tracking capabilities of cost-control tools. Controversially, the AI enthusiasm has spread to the distribution of social benefits, optimization of tax oversight and control, credit scoring systems, crime prediction systems, and other applications based in personal and sensitive data collection, especially in countries that do not have comprehensive privacy protections.
There are so many potential applications, society may operate very differently in ten years when the “datafixation” has advanced beyond citizen data and into other applications such as energy and natural resource management. However, many countries in the Global South are not being given necessary access to their countries’ own data.
Useful data are everywhere, but only some can take advantage. Beyond smartphones, data can be collected from IoT components in common spaces. Not restricted to urban spaces, data collection includes rural technology like sensors installed in tractors. However, even when the information is related to issues of public importance in developing countries —like data taken from road mesh or vital resources like water and land — it stays hidden under contract rules and public citizens cannot access, and therefore take benefit, from it. This arrangement keeps the public uninformed about their country’s operations. The data collection and distribution frameworks are not built towards healthy partnerships between industry and government preventing countries from realizing the potential outlined in the previous paragraph.
The data necessary to the development of better cities, public policies, and common interest cannot be leveraged if kept in closed silos, yet access often costs more than is justifiable. Data are a primordial resource to all stages of new technology, especially tech adoption and integration, so the necessary long term investment in innovation needs a common ground to start with. The mismatch between the pace of the data collection among big established companies and small, new, and local businesses will likely increase with time, assuming no regulation is introduced for equal access to collected data….
Currently, data independence remains restricted to discussions on the technological infrastructure that supports data extraction. Privacy discussions focus on personal data rather than the digital accumulation of strategic data in closed silos — a necessary discussion not yet addressed. The national interest of data is not being addressed in a framework of economic and social fairness. Access to data, from a policy-making standpoint, needs to find a balance between the extremes of public, open access and limited, commercial use.
A final, but important note: the vast majority of social media act like silos. APIs play an important role in corporate business models, where industry controls the data it collects without reward, let alone user transparency. Negotiation of the specification of APIs to make data a common resource should be considered, for such an effort may align with the citizens’ interest….(More)”.