crowdsourcing

Welcome to The Open Standard

Curated on October 17, 2014August 15, 2018 by Stefaan Verhulst

From the beginning, Mozilla has dedicated itself to advocating for an open Web in wholehearted belief that open systems create more opportunity for everyone.
From its advocacy work to web literacy programs, to the creation of the Firefox browser, Mozilla has exemplified the journalism adage, “show, don’t tell.” It’s in that tradition that we’re excited to bring you The Open Standard, an original news site dedicated to covering the ideas and opinions that support the open, transparent and collaborative systems at work in our daily lives.
We advocate that open systems create healthier communities and more successful societies overall. We will cover everything from open source to open government and the need for transparency; privacy and security, the “Internet of Things” vs. “pervasive computing”, to education and if it’s keeping up with the technological changes. The bottom line? Open is better.
This is just the beginning. Over the next few months, The Open Standard will open itself to collaboration with you, our readers; everything from contributing to the site, to drawing our attention to uncovered issues, to crowdsourcing the news…”

VouliWatch – Empowering Democracy in Greece

Curated on October 13, 2014August 3, 2018 by Stefaan Verhulst

Proposal at IndieGogo: “In the wake of the economic crisis and in a country where politics has all too often been beset by scandals and corruption, Vouliwatch aims to help develop an open and accountable political system that uses new digital technology to promote citizen participation in the political process and to rebuild trust in parliamentary democracy. In the heyday of Ancient Greek democracy, citizens actively participated in political dialogue, and Vouliwatch aims to revive this essential aspect of a democratic society through the use of digital technology.

How it actually works!

Vouliwatch is a digital platform that offers Greek citizens the opportunity to publicly question MPs and MEPs on the topic of their choice, and to hold their elected representatives accountable for their parliamentary activity. It is loosely modelled on similar initiatives that are already running successfully in other countries (Ireland, Luxemburg, Tunisia, Germany, France and Austria)….
Crowdsourcing/bottom up approach
The platform also gives users the chance to influence political debate and to focus the attention of both the media and the politicians on issues that citizens believe are important and are not being discussed widely.Vouliwatch offers citizens the chance to share their ideas and experiences and to make proposals to parliament for political action. The community of users can then comment on and rate them. A Google map application depicts all submitted data with the option of filtering based on different criteria (location; subject categories such as e.g. education, tourism, etc.). Every 2 months all submitted data is summarized in a report and sent to all MPs by our team, as food for thought and action. Vouliwatch will then publish and promote any resulting parliamentary reaction….”

A taxonomy of crowdsourcing based on task complexity

Curated on October 10, 2014August 3, 2018 by Stefaan Verhulst

Paper by Robbie T. Nakatsu et al at the Journal of Information Science: “Although a great many different crowdsourcing approaches are available to those seeking to accomplish individual or organizational tasks, little research attention has yet been given to characterizing how those approaches might be based on task characteristics. To that end, we conducted an extensive review of the crowdsourcing landscape, including a look at what types of taxonomies are currently available. Our review found that no taxonomy explored the multidimensional nature of task complexity. This paper develops a taxonomy whose specific intent is the classification of approaches in terms of the types of tasks for which they are best suited. To develop this task-based taxonomy, we followed an iterative approach that considered over 100 well-known examples of crowdsourcing. The taxonomy considers three dimensions of task complexity: (a) task structure – is the task well-defined, or does it require a more open-ended solution; (2) task interdependence – can the task be solved by an individual, or does it require a community of problem solvers; and (3) task commitment – what level of commitment is expected from crowd members? Based on this taxonomy, we identify seven categories of crowdsourcing and discuss prototypical examples of each approach. Furnished with such an understanding, one should be able to determine which crowdsourcing approach is most suitable for a particular task situation.”

New Technology and the Prevention of Violence and Conflict

Curated on October 8, 2014August 15, 2018 by Stefaan Verhulst

Report edited by Francesco Mancini for the International Peace Institute: “In an era of unprecedented interconnectivity, this report explores the ways in which new technologies can assist international actors, governments, and civil society organizations to more effectively prevent violence and conflict. It examines the contributions that cell phones, social media, crowdsourcing, crisis mapping, blogging, and big data analytics can make to short-term efforts to forestall crises and to long-term initiatives to address the root causes of violence.
Five case studies assess the use of such tools in a variety of regions (Africa, Asia, Latin America) experiencing different types of violence (criminal violence, election-related violence, armed conflict, short-term crisis) in different political contexts (restrictive and collaborative governments).
Drawing on lessons and insights from across the cases, the authors outline a how-to guide for leveraging new technology in conflict-prevention efforts:
1. Examine all tools.
2. Consider the context.
3. Do no harm.
4. Integrate local input.
5. Help information flow horizontally.
6. Establish consensus regarding data use.
7. Foster partnerships for better results.”

Crowdsourcing and collaborative translation: mass phenomena or silent threat to translation studies?

Curated on October 5, 2014August 3, 2018 by Stefaan Verhulst

Article by Alberto Fernandez Costales: ” This article explores the emerging phenomenon of amateur translation and tries to shed some light on the implications this process may have both for Translation Studies as an academic discipline and for the translation industry itself. The paper comments on the main activities included within the concept of fan translation and approaches the terminological issues concerning the categorization of “non-professional translation”. In addition, the article focuses on the existing differences between collaborative translation and crowdsourcing, and posits new hypotheses regarding the development of these initiatives and the possible erosion of the boundaries which separate them. The question of who-does-what in the industry of translation is a major issue to be addressed in order to gain a clear view of the global state of translation today.”

Real-time information about public transport's position using crowdsourcing

Curated on October 5, 2014August 3, 2018 by Stefaan Verhulst

Paper by Nikos Souliotis et al, published at PCI ’14 Proceedings of the 18th Panhellenic Conference on Informatics: “Nowadays there is a multitude of mobile and tablet applications being developed in order to facilitate or disrupt every day tasks. Many of these are location based. A technique to serve in providing information and content is crowdsourcing. This technique is based on the public contributing information or resources giving them the opportunity to become both service providers and recipients at the same time.
Taking into account the above and after observing passengers using the public transport system, we came to the conclusion that it would be useful to be able to determine which transport medium (i.e which bus line out of a number running concurrently) is nearer at any given moment. This information allows for better decision making and choice of transportation.
For this we propose the development of an application to show the position of a selected transport vehicle. The position will be calculated based on geo-tracking provided by passengers boarded on a vehicle. This will allow for real time information to the application users in order to be able to determine their optimal route.”

Smarter video games, thanks to crowdsourcing

Curated on September 29, 2014October 10, 2018 by Stefaan Verhulst

AAAS –Science Magazine: “Despite the stereotypes, any serious gamer knows it’s way more fun to play with real people than against the computer. Video game artificial intelligence, or AI, just isn’t very good; it’s slow, predictable, and generally stupid. All that stands to change, however, if GiantOtter, a Massachusetts-based startup, has its way, New Scientist reports. By crowdsourcing the AI’s learning, GiantOtter hopes to build systems where the computer can learn based on player’s previous behaviors, decision-making, and even voice communication—yes, the computer is listening in as you strategize. The hope is that by abandoning the traditional scripted programming models, AIs can be taught to mimic human behaviors, leading to more dynamic and challenging scenarios even in incredibly complex games like Blizzard Entertainment Inc.’s professionally played StarCraft II.“

Data-based Civic Participation

Curated on September 28, 2014August 3, 2018 by Stefaan Verhulst

New workshop paper by C. A. Le Dantec in HCOMP 2014/Citizen + X: Workshop on Volunteer-based Crowdsourcing in Science, Public Health and Government, Pittsburgh, PA. November 2, 2014: “Within the past five years, a new form of technology -mediated public participation that experiments with crowdsourced data production in place of community discourse has emerged. Examples of this class of system include SeeClickFix, PublicStuff, and Street Bump, each of which mediate feedback about local neighborhood issues and help communities mobilize resources to address those issues. The experiments being playing out by this new class of services are derived from a form of public participation built on the ideas of smart cities where residents and physical environments are instrumented to provide data to improve operational efficiency and sustainability (Caragliu, Del Bo, and Nijkamp 2011). Ultimately, smart cities is the application to local government all the efficiencies that computing has always promised—efficiencies of scale, of productivity, of data—minus the messiness and contention of citizenship that play out through more traditional modes of public engagement and political discourse.
The question then, is what might it look like to incorporate more active forms of civic participation and issue advocacy in an app- and data-driven world? To begin to explore this question, my students and I have developed a smartphone app as part of a larger regional planning partnership with the City of Atlanta and the Atlanta Regional Commission. The app, called Cycle Atlanta, enables cyclists to record their ride data —where they have gone, why they went there, what kind of cyclist they are— in an effort to both generate data for planners developing new bicycling infrastructure and to broaden public participation and input in the creation of those plans…”

Proof: How Crowdsourced Election Monitoring Makes a Difference

Curated on September 25, 2014August 3, 2018 by Stefaan Verhulst

Patrick Meier at iRevolution: “My colleagues Catie Bailard & Steven Livingston have just published the results of their empirical study on the impact of citizen-based crowdsourced election monitoring. Readers of iRevolution may recall that my doctoral dissertation analyzed the use of crowdsourcing in repressive environments and specifically during contested elections. This explains my keen interest in the results of my colleagues’ news data-driven study, which suggests that crowdsourcing does have a measurable and positive impact on voter turnout.

Catie and Steven are “interested in digitally enabled collective action initiatives” spearheaded by “nonstate actors, especially in places where the state is incapable of meeting the expectations of democratic governance.” They are particularly interested in measuring the impact of said initiatives. “By leveraging the efficiencies found in small, incremental, digitally enabled contributions (an SMS text, phone call, email or tweet) to a public good (a more transparent election process), crowdsourced elections monitoring constitutes [an] important example of digitally-enabled collective action.” To be sure, “the successful deployment of a crowdsourced elections monitoring initiative can generate information about a specific political process—information that would otherwise be impossible to generate in nations and geographic spaces with limited organizational and administrative capacity.”

To this end, their new study tests for the effects of citizen-based crowdsourced election monitoring efforts on the 2011 Nigerian presidential elections. More specifically, they analyzed close to 30,000 citizen-generated reports of failures, abuses and successes which were publicly crowdsourced and mapped as part of the Reclaim Naija project. Controlling for a number of factors, Catie and Steven find that the number and nature of crowdsourced reports is “significantly correlated with increased voter turnout.”

In conclusion, the authors argue that “digital technologies fundamentally change information environments and, by doing so, alter the opportunities and constraints that the political actors face.” This new study is an important contribution to the literature and should be required reading for anyone interested in digitally-enabled, crowdsourced collective action. Of course, the analysis focuses on “just” one case study, which means that the effects identified in Nigeria may not occur in other crowdsourced, election monitoring efforts. But that’s another reason why this study is important—it will no doubt catalyze future research to determine just how generalizable these initial findings are.”

Experiments on Crowdsourcing Policy Assessment

Curated on September 18, 2014August 3, 2018 by Stefaan Verhulst

Paper by John Prpić, Araz Taeihagh, and James Melton Jr for the Oxford Internet Institute IPP2014: Crowdsourcing for Politics and Policy: “Can Crowds serve as useful allies in policy design? How do non-expert Crowds perform relative to experts in the assessment of policy measures? Does the geographic location of non-expert Crowds, with relevance to the policy context, alter the performance of non-experts Crowds in the assessment of policy measures? In this work, we investigate these questions by undertaking experiments designed to replicate expert policy assessments with non-expert Crowds recruited from Virtual Labor Markets. We use a set of ninety-six climate change adaptation policy measures previously evaluated by experts in the Netherlands as our control condition to conduct experiments using two discrete sets of non-expert Crowds recruited from Virtual Labor Markets. We vary the composition of our non-expert Crowds along two conditions: participants recruited from a geographical location directly relevant to the policy context and participants recruited at-large. We discuss our research methods in detail and provide the findings of our experiments.”
Full program of the Oxford Internet Institute IPP2014: Crowdsourcing for Politics and Policy can be found here.