1,721,007 research outputs found
Digital Labour in the Platform Economy: The Case of Facebook
The aim of the paper is to analyse the features of the digital labour connected with the so-called platform economy. Many platform-based business models rely on a new composition of capital capable of capturing personal information and transforming it into big data. Starting with the example of the Facebook business model, we explain the valorisation process at the core of platform capitalism, stressing the relevance of digital labour, to clarify the crucial distinction between labour and work. Our analysis differs from Fuchs and Sevignani’s thesis about digital work and digital labour and seems consistent with the idea that Facebook extracts a rent from the information produced by the free labour of its users
El trabajo (labour) digital en la economía de plataforma: el caso de Facebook
El objetivo del trabajo es analizar las características del trabajo (labour) digital conectado con la llamada economía de plataforma. Muchos modelos de negocios basados en plataformas se basan en una nueva composición del capital capaz de capturar información personal y transformarla en big data.
Comenzando con el ejemplo del modelo de negocio de Facebook, explicamos el proceso de valorización en el núcleo de capitalismo de plataforma, haciendo hincapié en la relevancia del trabajo digital, para aclarar la distinción crucial entre el trabajo como labour y el mismo como work6. Nuestro análisis difiere de la tesis de Fuchs y Sevignani sobre el trabajo digital como labour y el trabajo digital como work y resulta consistente con la idea de que Facebook extrae una renta de la información generada por el trabajo (labour) libre de sus usuarios
Promoting the well-being in residential communities for disadvantaged children: an educational design intervention
Il digital labour all’interno dell’economia delle piattaforme: il caso di Facebook
In questo contributo, partendo dall’esempio di Facebook, spieghiamo il processo di valorizzazione al centro del capitalismo delle piattaforme, sottolineando la rilevanza del digital labour come fonte di valore economico per un numero sempre maggiore di imprese alimentate dai dati. L’obiettivo principale della Sezione 2 è la presentazione del modello di creazione di valore utilizzato da Facebook. Infatti, la società americana di servizi di social media online e social networking lanciata da Mark Zuckerberg rappresenta un esempio di piattaforma pubblicitaria in cui il valore si basa essenzialmente su un processo di espropriazione delle così dette life skills degli individui. Nel modo tradizionale, il capitalismo delle piattaforme ha a che fare principalmente con la soddisfazione di alcuni servizi rivolti ai consumatori e con la gestione dei settori legati alla logistica delle merci. Le industrie più colpite riguardano il settore terziario, anche se sono coinvolte in alcuni aspetti le industrie manifatturiere. Questa prospettiva sembra comune all’argomentazione di Nick Srnicek e al Report McKinsey sui big data. La loro analisi del capitalismo delle piattaforme non considera altre caratteristiche rilevanti del modello economico, in particolare il fatto che le attività umane sulle piattaforme Internet sono sempre più integrate con gli elementi digitali della comunicazione e del linguaggio, come sosteniamo nella Sezione 3. È quindi necessario chiarire la distinzione cruciale tra “labour” e “work” per proporre una definizione specifica di “digital labour”, come proponiamo nella Sezione 4 dopo aver discusso il concetto all’interno del dibattito marxiano. Ci riferiamo in particolare ai recenti contributi di Christian Fuchs e Sebastian Sevignani (2013) e Trebor Scholz (2017), mostrando la rilevanza della tendenza al divenire rendita del profitto proposta innanzitutto da Carlo Vercellone (2010). La sezione 5 conclude il saggio
New alphabets and basic skills in telematic universities
In the beginning of 2020, the world faced the Covid-19 pandemic. During the lockdown it has been necessary to make a large use of digital technology in order to carry on working, teaching, learning, relating and facing new citizenship challenges. We all have dealt with new technological issues due to the time of forced exposition to digital technologies. Despite life has greatly moved towards the online environment, we have not been able to manage information, tools, network environments, and languages that the devices have offered us. This work pretends to be the bases for a future study that will aim to identify the skills necessary so that adults who decide to undertake an academic path at online universities can easily move in the chosen accredited learning context
D2.2 Economic and regulatory analysis of data platforms and value creation models of the on demand economy
DECODE – DEcentralised Citizens Owned Data Ecosystem – aims to develop practical tools to protect people’s data and digital sovereignty.
The project is building towards a data-centric digital economy where citizen data, generated by the Internet of Things (IoT) and sensor networks, is available for broader communal use, with appropriate privacy protections. As a result, companies, cooperatives, local communities and citizens will be able to use that data to build data- driven services that better respond to individual and community needs. This means rethinking the thorny questions around the ownership, control and management of personal data from an economic, legal, regulatory and technical dimension1.
The DECODE deliverable “Economic and regulatory analysis of data platforms and value creation models of the on demand economy” presents two main aims: (i) Proposing an analysis of regulatory models for data platforms; (ii) Clarifying the logic of value creation that characterises the so-called on-demand economy, by analysing four case studies of dominant platforms.
Both the objectives are necessary to develop T2.2 (“Data-driven disruptive and commons based economic models”) within the WP2 (“Decentralised Governance and Economic framework: Commons data platforms for digital sovereignty”). This deliverable analyses the dominant data-driven economic models, and clarifies the boundaries between the major data driven platforms and the so called on-demand platform economy, then it defines the different areas affected by currently existing regulatory models.
This analytical work is essential to be able to by propose in our future work economic, regulatory, and technical alternatives to the dominant, centralised and monopolistic economic models of data-driven platforms, which exploit network effects and capture rent from network externalities, thus hindering innovation and eroding citizens’ digital sovereignty (D 2.4).
This will contribute to the overall objective of DECODE to identify and experiment new political, economic, and legal regimes that recognize social and communal rights to data
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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