This paper presents a large-scale analysis of emotions in conversations among Wikipedia editors. Our focus is on the emotions expressed by editors in talk pages, measured by using the Affective Norms for English Words (ANEW).We find evidence that to a large extent women tend to participate in discussions with a more positive tone, and that administrators are more positive than non-administrators. Surprisingly, female non-administrators tend to behave like administrators in many aspects.We observe that replies are on average more positive than the comments they reply to, preventing many discussions from spiralling down into conflict. We also find evidence of emotional homophily: editors having similar emotional styles are more likely to interact with each other.Our findings offer novel insights into the emotional dimension of interactions in peer-production communities, and contribute to debates on issues such as the flattening of editor growth and the gender gap.Research questions and roadmap. As our review of previous works in Section 2 illustrates, there is a gap in our understanding of Wikipedia, and peer-production processes in general, in terms of the emotional expressions and responses of their contributors. Section 3 describes our approach, which tries to integrate data analytics and qualitative methods with a more socio-political, qualitative perspective [14,17] to analyse Wikipedia.

BackgroundDespite the undisputed role of emotions in teamwork, not much is known about the make-up of emotions in online collaboration. Publicly available repositories of collaboration data, such as Wikipedia editor discussions, now enable the large-scale study of affect and dialogue in peer production.MethodsWe investigate the established Wikipedia community and focus on how emotion and dialogue differ depending on the status, gender, and the communication network of the editors who have written at least 100 comments on the English Wikipedia's article talk pages. Emotions are quantified using a word-based approach comparing the results of two predefined lexicon-based methods: LIWC and SentiStrength.Principal FindingsWe find that administrators maintain a rather neutral, impersonal tone, while regular editors are more emotional and relationship-oriented, that is, they use language to form and maintain connections to other editors. A persistent gender difference is that female contributors communicate in a manner that promotes social affiliation and emotional connection more than male editors, irrespective of their status in the community. Female regular editors are the most relationship-oriented, whereas male administrators are the least relationship-focused. Finally, emotional and linguistic homophily is prevalent: editors tend to interact with other editors having similar emotional styles (e.g., editors expressing more anger connect more with one another).Conclusions/SignificanceEmotional expression and linguistic style in online collaboration differ substantially depending on the contributors' gender and status, and on the communication network. This should be taken into account when analyzing collaborative success, and may prove insightful to communities facing gender gap and stagnation in contributor acquisition and participation levels.

The impressive success of peer production -a large-scale collaborative model of production primarily based on voluntary contributions -is difficult to explain through the assumptions of standard economic theory. The aim of this paper is to study the prosocial foundations of cooperation in this new peer production economy. We provide the first field test of existing economic theories of prosocial motives for contributing to real-world public goods. We use an online experiment coupled with observational data to elicit social preferences within a diverse sample of 850 Wikipedia contributors, and seek to use to those measures to predict subjects' field contributions to the Wikipedia project. We find that subjects' field contributions to Wikipedia are strongly related to their level of reciprocity in a conditional Public Goods game and in a Trust game and to their revealed preference for social image within the Wikipedia community, but not to their level of altruism either in a standard or in a directed Dictator game. Our results have important theoretical and practical implications, as we show that reciprocity and social image are both strong motives for sustaining cooperation in peer production environments, while altruism is not.JEL classification: H41, C93, D01, Z13

This article presents a framework for evaluating the sustainability qualities of Platform Economy initiatives. It takes into account governance, economic model, technology, data policies, social responsibility and impact. The framework has been tested empirically in a sample of one hundred commons-based peer-to-peer production cases identified in Barcelona. Data collection was based on online ethnography and structured interviews. The results reveal the different levels and tendencies of pro-democratization. It appears that the cases that are more sustainable are also sustainable in other dimensions. The analysis found a correlation between governance and technology and data models, and it further demonstrated that governance is correlated with the economic model. Both results together indicate that the governance of a platform plays a central role in its overall approach.

The platform economy is growing exponentially while creating expectations for its potential to contribute to a sustainable development. However, research aimed at showing the potential contribution of each platform’s business model to sustainable development is needed. The Sustainable Development Goals (SDGs) are driving the policy agenda, but it remains unclear how far they encourage a sustainable platform economy. First, this article aims to study how each different type of platform contributes to sustainable development. Second, it analyses if and how the factors that contribute to the sustainable design of platforms are considered in SDGs. The paper departs from a framework of sustainable democratic qualities of the platform economy that considers governance, economic sustainability, technological and data policies, social responsibility, and external impact dimensions. The study is based on an empirical analysis of 60 platforms. The results show that a sustainable design of a platform economy promotes sustainable development. Furthermore, the contributions of the sustainable dimensions of a platform to SDGs are mainly connected to the impact and responsibility and the economic model, but governance and data dimensions are not present in the SDGs. This suggests that SDGs should improve their digital perspective to intertwine better with the sustainable platforms.

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On-demand delivery platforms appropriate ‘freedom’ and ‘flexibility’ discourses with claims such as ‘be your own boss’ and ‘work as much as you want to’. During the COVID-19 pandemic, Deliveroo updated its courier platform application with a ‘free login system’ in Barcelona whereby platform couriers could connect to the platform whenever, wherever, and as often as they wanted to. In this paper, we ask why the introduction of a ‘free login’ system generated even more precarious forms of work, by comparing workforce management systems both before and during the COVID-19 period. We argue that the reason it becomes problematic is rooted in Deliveroo's business model, which is characterised by hiring on-demand, using a piece-rate payment and exercising hard workforce control through algorithmic management.