Stateful Library Analysis and Migration System (SLAM)

Interoperability between research management systems, especially digital libraries or repositories, has been a central theme in the community for the past years, with the discussion focused on means of enriching, linking, and disseminating outputs. This paper considers a frequently overlooked aspect, namely the migration of records across systems, by introducing the Stateful Library Analysis and Migration system (SLAM) and presenting practical experiences with migrating records from DSpace and Digital Commons repositories to Figshare.

Technical challenges of a lightweight, scalable, global paywall system

<p>This thesis presents the technical challenges that were faced while building a lightweight, scalable, global news paywall system. It also presents the common events while establishing a start-up company and also its unique events while building the start-up, Ripple Media Ltd. The project was based on a research within the Victoria University’s School of Information Management, “Digital Commons or Digital Enclosures: The Future of Online Content Distribution.” The project focuses on providing a platform that would solve the problems of online distribution and monetisation strategies. Ripple Media Ltd has conducted a market research that would give insights on news monetisation and building a product / platform addressing the online content distribution.</p>

Technical challenges of a lightweight, scalable, global paywall system

<p>This thesis presents the technical challenges that were faced while building a lightweight, scalable, global news paywall system. It also presents the common events while establishing a start-up company and also its unique events while building the start-up, Ripple Media Ltd. The project was based on a research within the Victoria University’s School of Information Management, “Digital Commons or Digital Enclosures: The Future of Online Content Distribution.” The project focuses on providing a platform that would solve the problems of online distribution and monetisation strategies. Ripple Media Ltd has conducted a market research that would give insights on news monetisation and building a product / platform addressing the online content distribution.</p>

PLATFORMIZING DELIVERY WORKERS' EXPERIENCES: BUILDING WORKER-OWNED PLATFORMS IN BRAZIL, SPAIN AND FRANCE

The article aims to analyze the emergence of worker-owned platforms, specifically delivery workers’ experiences, as one of the laboratories of platform labor and the circulation of workers’ struggles Drawing on interviews with six cases in three different countries (Spain, France and Brazil), the research highlights the commonalities, specificities and challenges of platformizing delivery workers’ experiences in different countries. The analysis consider following dimensions: productive processes and work organization, technological challenges and building platforms, use of social media to communicate with and organize workers, and the future of worker-owned experiences. The initiatives had very different trajectories. In Spain, some cooperatives were born from union struggles. In France, we saw a strong relationship with CoopCycle, a federation of delivery co-ops that provides its own software based on the principles of digital commons. And in Brazil, small collectives and co-ops that still depend on social media platforms to execute their work are emerging. Despite different contexts, there are commonalities, such as the low number of workers, the central role of social media for communicating and organizing work, and the emergence of cooperation among cooperatives, which shows that scale does not need to be a standard in platform economies. The conclusions point out there is an ongoing and emerging process that can be the beginning of a broader process of reinventing local economic circuits of production and consumption that involves digital platforms for the common good.

The evolution of deception

Deception plays a critical role in the dissemination of information, and has important consequences on the functioning of cultural, market-based and democratic institutions. Deception has been widely studied within the fields of philosophy, psychology, economics and political science. Yet, we still lack an understanding of how deception emerges in a society under competitive (evolutionary) pressures. This paper begins to fill this gap by bridging evolutionary models of social good— public goods games (PGGs)—with ideas from interpersonal deception theory (Buller and Burgoon 1996 Commun. Theory 6 , 203–242. ( doi:10.1111/j.1468-2885.1996.tb00127.x )) and truth-default theory (Levine 2014 J. Lang. Soc. Psychol. 33 , 378–392. ( doi:10.1177/0261927X14535916 ); Levine 2019 Duped: truth-default theory and the social science of lying and deception . University of Alabama Press). This provides a well-founded analysis of the growth of deception in societies and the effectiveness of several approaches to reducing deception. Assuming that knowledge is a public good, we use extensive simulation studies to explore (i) how deception impacts the sharing and dissemination of knowledge in societies over time, (ii) how different types of knowledge sharing societies are affected by deception and (iii) what type of policing and regulation is needed to reduce the negative effects of deception in knowledge sharing. Our results indicate that cooperation in knowledge sharing can be re-established in systems by introducing institutions that investigate and regulate both defection and deception using a decentralized case-by-case strategy. This provides evidence for the adoption of methods for reducing the use of deception in the world around us in order to avoid a Tragedy of the Digital Commons (Greco and Floridi 2004 Ethics Inf. Technol. 6 , 73–81. ( doi:10.1007/s10676-004-2895-2 )).

Editorial Note: Changes in Makara Human Behavior Studies in Asia

The year 2021 is a time of change. The COVID-19 pandemic is still raging in most parts of the world. The 4.0 industry revolution is still going faster than ever. As changes occur everywhere we are also forced to adapt and change here in Makara Human Behavior Studies in Asia. Since the beginning of this year, we have been migrating to a new website based on Digital Commons from BE Press. The process is not yet completed as there are many editions to be migrated and information to be filled in the new website. I am grateful for the support of our publisher, Directorate of Administration, Data, and Management of Research Product and Innovation (DADPPRI UI), for providing this facility. Special thanks are warranted to Hanun Thalia who has provided extra effort to help us migrate and make sure that this edition publishes on time. We are grateful to Early Melati, Nathalia Bella Christiana, and Kai Riantoputra who have aided during this critical period of our journal. But most of all I am grateful to our managing editor Dr. Muhammad Abdan Shadiqi who plays a significant role in pushing through the painful changes that we must make in these turbulent times. I am most thankful to him for this new layout of the journal. I find the design to be modern and more readable. I hope that the readers find that too. On top of that, we are broadening our types of submission. We recognize the importance of review articles in helping policymakers during this pandemic era, and we want our journal to facilitate too. We will now accept review articles in the form of meta-analysis, systematic reviews, and scoping reviews.

Can't we all just get along? Citizen scientists interacting with algorithms

Responding to the continued and accelerating rise of Machine Learning (ML) in citizen science, we organized a discussion panel at the 3rd European Citizen Science 2020 Conference to initiate a dialogue on how citizen scientists interact and collaborate with algorithms. This brief summarizes a presentation about two Zooniverse projects which illustrated the impact that new developments in ML are having on citizen science projects which involve visual inspection of large datasets. We also share the results of a poll to elicit opinions and ideas from the audience on two statements, one positive and one critical of using ML in CS. The discussion with the participants raised several issues that we grouped into four main themes: a) democracy and participation; b) skill-biased technological change; c) data ownership vs public domain/digital commons, and d) transparency. All these issues warrant further research for those who are concerned about ML in citizen science.