Do Experts or Collective Intelligence Write with More Bias? Evidence from Encyclopædia Britannica and Wikipedia.

Curated on Posted on by Stefaan Verhulst
Working Paper by Shane Greenstein and Feng Zhu.  Which source of information contains greater bias and slant—text written by an expert or that constructed via collective intelligence? Do the costs of acquiring, storing, displaying and revising information shape those differences? We evaluate these questions empirically by examining slanted and biased phrases in content on US political issues from two sources — Encyclopædia Britannica and Wikipedia. Our overall slant measure is less (more) than zero when an article leans towards Democrat (Republican) viewpoints, while bias is the absolute value of the slant. Using a matched sample of pairs of articles from Britannica and Wikipedia, we show that, overall, Wikipedia articles are more slanted towards Democrat than Britannica articles, as well as more biased. Slanted Wikipedia articles tend to become less biased than Britannica articles on the same topic as they become substantially revised, and the bias on a per word basis hardly differs between the sources. These results have implications for the segregation of readers in online sources and the allocation of editorial resources in online sources using collective intelligence…Key concepts include:

  • The costs of producing, storing, and distributing knowledge shape different biases and slants in the collective intelligence (Wikipedia) and the expert-based model (Britannica).
  • Many of the differences between Wikipedia and Britannica arise because Wikipedia faces insignificant storage, production, and distribution costs. This leads to longer articles with greater coverage of more points of view. The number of revisions of Wikipedia articles results in more neutral point of view. In the best cases, it reduces slant and bias to a negligible difference with an expert-based model.
  • As the world moves from reliance on expert-based production of knowledge to collectively-produced intelligence, it is unwise to blindly trust the properties of knowledge produced by the crowd. Their slants and biases are not widely appreciated, nor are the properties of the production model as yet fully understood.”…(More)

Can 311 Call Centers Improve Service Delivery? Lessons from New York and Chicago

Curated on Posted on by Stefaan Verhulst

Paper by Jane Wiseman: “This paper is the first of the IDB’s “Innovations in Public Service Delivery” series, which identifies and analyzes innovative experiences of promising practices in Latin America and the Caribbean and around the world to improve the quality and delivery of public services. It presents the 311 Programs in New York City and Chicago, leading 311 centers in the United States. “311” is the universal toll-free number that provides citizens with a single point of entry to a wide array of information and services in major cities. In the cities studied, these centers have evolved to support new models of service delivery management. This publication provides an overview of these programs, analyzing their design and implementation, results, and impacts, and identifying their success factors. The final section consolidates the lessons learned from these experiences, highlighting what policymakers and public officials should consider when developing similar solutions…Download in PDF“.

Is Transparency a Recipe for Innovation?

Curated on Posted on by Stefaan Verhulst

Paper by Dr. Bastiaan Heemsbergen: “Innovation is a key driver in organizational sustainability, and yes, openness and transparency are a recipe for innovation. But, according to Tapscott and Williams, “when it comes to innovation, competitive advantage and organizational success, ‘openness’ is rarely the first word one would use to describe companies and other societal organizations like government agencies or medical institutions. For many, words like ‘insular,’ ‘bureaucratic,’ ‘hierarchical,’ ‘secretive’ and ‘closed’ come to mind instead.”1 And yet a few months ago, The Tesla Model S just became the world’s first open-source car. Elon Musk, CEO of Tesla Motor Vehicles, shared all the patents on Tesla’s electric car technology, allowing anyone — including competitors — to use them without fear of litigation. Elon wrote in his post “Yesterday, there was a wall of Tesla patents in the lobby of our Palo Alto headquarters. That is no longer the case. They have been removed, in the spirit of the open source movement, for the advancement of electric vehicle technology.”2
In the public sector, terms such as open government, citizen sourcing, and wiki government are also akin to the notion of open innovation and transparency. As Hilgers and Ihl report, “a good example of this approach is the success of the Future Melbourne program, a Wiki and blog-based approach to shaping the future urban landscape of Australia’s second largest city. The program allowed citizens to directly edit and comment on the plans for the future development of the city. It attracted more than 30,000 individuals, who submitted hundreds of comments and suggestions (futuremelbourne.com.au). Basically, problems concerning design and creativity, future strategy and local culture, and even questions of management and service innovation can be broadcasted on such web-platforms.”3 The authors suggest that there are three dimensions to applying the concept of open innovation to the public sector: citizen ideation and innovation (tapping knowledge and creativity), collaborative administration (user generated new tasks and processes), and collaborative democracy (improve public participation in the policy process)….(More)”.

Computer-based personality judgments are more accurate than those made by humans

Curated on Posted on by Stefaan Verhulst

Paper by Wu Youyou, Michal Kosinski and David Stillwell at PNAS (Proceedings of the National Academy of Sciences): “Judging others’ personalities is an essential skill in successful social living, as personality is a key driver behind people’s interactions, behaviors, and emotions. Although accurate personality judgments stem from social-cognitive skills, developments in machine learning show that computer models can also make valid judgments. This study compares the accuracy of human and computer-based personality judgments, using a sample of 86,220 volunteers who completed a 100-item personality questionnaire. We show that (i) computer predictions based on a generic digital footprint (Facebook Likes) are more accurate (r = 0.56) than those made by the participants’ Facebook friends using a personality questionnaire (r = 0.49); (ii) computer models show higher interjudge agreement; and (iii) computer personality judgments have higher external validity when predicting life outcomes such as substance use, political attitudes, and physical health; for some outcomes, they even outperform the self-rated personality scores. Computers outpacing humans in personality judgment presents significant opportunities and challenges in the areas of psychological assessment, marketing, and privacy…(More)”.

Motivations for sustained participation in crowdsourcing: The role of talk in a citizen science case study

Curated on Posted on by Stefaan Verhulst

Paper by CB. Jackson, C. Østerlund, G. Mugar, KDV. Hassman for the Proceedings of the Forty-eighth Hawai’i International Conference on System Science (HICSS-48): “The paper explores the motivations of volunteers in a large crowdsourcing project and contributes to our understanding of the motivational factors that lead to deeper engagement beyond initial participation. Drawing on the theory of legitimate peripheral participation (LPP) and the literature on motivation in crowdsourcing, we analyze interview and trace data from a large citizen science project. The analyses identify ways in which the technical features of the projects may serve as motivational factors leading participants towards sustained participation. The results suggest volunteers first engage in activities to support knowledge acquisition and later share knowledge with other volunteers and finally increase participation in Talk through a punctuated process of role discovery…(More)”

.

Exploring the Factors Influencing the Adoption of Open Government Data by Private Organisations

Curated on Posted on by Stefaan Verhulst

Article by Maaike Kaasenbrood et al in the International Journal of Public Administration in the Digital Age (IJPADA): “Governments are increasingly opening their datasets, allowing use. Drawing on a multi-method approach, this paper develops a framework for identifying factors influencing the adoption of Open Government Data (OGD) by private organisations. Subsequently the framework was used to analyse five cases. The findings reveal that for private organizations to use OGD, the content and source of the data needs to be clear, a usable open data license must be present and continuity of data updates needs to be ensured. For none of the investigated private organisations OGD was key to their existence. Organisations use OGD in addition to, or as an enhancement of their core activities. As the official OGD-channels are bypassed trustworthy relationships between the data user and data provider were found to play an important role in finding and using OGD. The findings of this study can help government agencies in developing OGD-policies and stimulating OGD-use….(More).”

Does Real-Time Feedback On Electricity Use Really Change Our Behavior?

Curated on Posted on by Stefaan Verhulst

Jessica Leber at Co.Exist: “Is information power? Or more to the point, does information about our energy usage help us consume less power?
Even though there are a growing number of smart devices and systems on the market designed to give feedback about energy and water usage, in hopes of nudging us to cut back, studies have shown mixed evidence as to whether they actually work in changing long-term behavior.
In September 2010, the developer of a new LEED Gold apartment building in Manhattan approached Columbia University’s Center for Research on Environmental Decisions with the idea of studying whether they could reduce energy use by giving occupants devices that gave them real-time feedback on their electricity demand. They chose the Modlet, a device made by ThinkEco, that monitors energy use at each outlet, appliance by appliance.
The results of the study, published recently as a working paper by the National Bureau of Economic Research, show that getting people to change their behavior is more complicated than it seems….(More).”

Innovations in Global Governance: Toward a Distributed Internet Governance Ecosystem

Curated on Posted on by Stefaan Verhulst

New paper by Stefaan G. Verhulst, Beth S. Noveck, Jillian Raines, and Antony Declercq as part of the Global Commission on Internet Governance Paper Series: “The growth and globalization of the Internet over the past 40 years has been nothing short of remarkable. Virtually all sectors, from development to healthcare to education to politics, have been transformed. Yet developments in how the Internet is governed have not kept pace with this rapid technological innovation. Figuring out how to evolve the Internet’s governance in ways that are effective and legitimate is essential to ensure its continued potential. Flexible and innovative decision-making mechanisms are needed in order to enable disparate governance actors to address and respond effectively as changes in the network occur. This paper seeks to address the need to develop an effective and legitimate Internet governance ecosystem by proposing a distributed yet coordinated framework that can accommodate a plurality of existing and emerging decision-making approaches. It draws on the lessons of open governance, adopting innovative techniques to facilitate coordination, information sharing, and evidence generation by and across increasingly diverse and global groups of Internet actors, and calls for creating practical tools to support such an effective, legitimate and evolving Internet governance ecosystem. Although no right answer or single model for how to manage all issues of relevance to the Internet is suggested within this paper, the proposed framework intends to allow for diverse experiments in distributed governance approaches to learn what works and what does not. (More)“

An Open Government Index: From Democracy to Efficiency to Innovation

Curated on Posted on by Stefaan Verhulst

New Report by Lindgren, Tony; Ekenberg, Love; Nouri, Jalal and Hansson, Karin: “Most research in research areas like E-government, E-participation and Open government assume a democratic norm. The concept of Open government, recently promoted by, e.g., The Obama administration and the European Commission is to a large extent based on a general liberal and deliberative ideology emphasizing transparency, participation and collaboration. The concept has also become of interest for states like China and Singapore. In this position paper we outline how to study the concept under different political discourses and suggest an Open government index that can be used to analyze the concept of open government under various settings. (More)”

Governments and Citizens Getting to Know Each Other? Open, Closed, and Big Data in Public Management Reform

Curated on Posted on by Stefaan Verhulst

New paper by Amanda Clarke and Helen Margetts in Policy and Internet: “Citizens and governments live increasingly digital lives, leaving trails of digital data that have the potential to support unprecedented levels of mutual government–citizen understanding, and in turn, vast improvements to public policies and services. Open data and open government initiatives promise to “open up” government operations to citizens. New forms of “big data” analysis can be used by government itself to understand citizens’ behavior and reveal the strengths and weaknesses of policy and service delivery. In practice, however, open data emerges as a reform development directed to a range of goals, including the stimulation of economic development, and not strictly transparency or public service improvement. Meanwhile, governments have been slow to capitalize on the potential of big data, while the largest data they do collect remain “closed” and under-exploited within the confines of intelligence agencies. Drawing on interviews with civil servants and researchers in Canada, the United Kingdom, and the United States between 2011 and 2014, this article argues that a big data approach could offer the greatest potential as a vehicle for improving mutual government–citizen understanding, thus embodying the core tenets of Digital Era Governance, argued by some authors to be the most viable public management model for the digital age (Dunleavy, Margetts, Bastow, & Tinkler, 2005, 2006; Margetts & Dunleavy, 2013).”