scholarly journals Engels@200: Friedrich Engels and Digital Capitalism. How Relevant Are Engels’s Works 200 Years After His Birth?

2020 ◽  
Vol 19 (1) ◽  
pp. 15-51
Author(s):  
Christian Fuchs
Keyword(s):  
Social Science ◽  
Working Class ◽  
Trade Unions ◽  
Social Research ◽  
Computational Social Science ◽  
Digital Capitalism ◽  
The Social ◽  
Critical Social Science ◽  
Friedrich Engels ◽  
Scientific Socialism

This paper takes Friedrich Engels 200th birthday on 28 November 2020 as occasion to ask: How relevant are Friedrich Engels’s works in the age of digital capitalism? It shows that Engels class-struggle oriented theory can and should inform 21st century social science and digital social research. Based on a reading of Engels’s works, the article discusses how to think of scientific socialism as critical social science today, presents a critique of computational social science as digital positivism, engages with foundations of digital labour analysis, the analysis of the international division of digital labour, updates Engels’s Condition of the Working Class in England in the age of digital capitalism, analyses the role of trade unions and digital class struggles in digital age, analyses the social murder of workers in the COVID-19 crisis, engages with platform co-operatives, digital commons projects and public service Internet platforms are concrete digital utopias that point beyond digital capital(ism). Engels’s analysis is updated for critically analysing the digital conditions of the working class today, including the digital labour of hardware assemblers at Foxconn and Pegatron, the digital labour aristocracy of software engineers at Google, online freelance workers, platform workers at capitalist platform corporations such as Uber, Deliveroo, Fiverr, Upwork, or Freelancer, and the digital labour of Facebook users. Engels’s 200th birthday reminds us of the class character of digital capitalism and that we need critical digital social science as a new form of scientific socialism.

scholarly journals Using Social Media Data Aggregators to Do Social Research

2012 ◽  
Vol 17 (3) ◽  
pp. 91-102 ◽  
Author(s):  
David Beer
Keyword(s):  
Social Sciences ◽  
Social Media ◽  
Social Science ◽  
Social Research ◽  
Analysis Software ◽  
Social Media Data ◽  
Product Data ◽  
The Social ◽  
Critical Social Science ◽  
Media Data

This article asks if it is possible to use commercial data analysis software and digital by-product data to do critical social science. In response this article introduces social media data aggregator software to a social science audience. The article explores how this particular software can be used to do social research. It uses some specific examples in order to elaborate upon the potential of the software and the type of insights it can be used to generate. The aim of the article is to show how digital by-product data can be used to see the social in alternative ways, it explores how this commercial software might enable us to find patterns amongst ‘monumentally detailed data’. As such is responds to Andrew Abbott's as yet unresolved eleven year old reflections on the crucial challenges that face the social sciences in a data rich era.

The Edwards' Report and the International Relations profession

1988 ◽  
Vol 14 (2) ◽  
pp. 149-152 ◽  
Author(s):  
Michael Nicholson
Keyword(s):  
Social Sciences ◽  
Social Science ◽  
International Relations ◽  
Research Council ◽  
Social Research ◽  
Future Research ◽  
Social Scientists ◽  
Social Science Community ◽  
The Social ◽  
Science Community

The Economic and Social Research Council recently published a Report commissioned from a committee chaired by Professor Edwards, a psychiatrist, so that the Council, and the social science community in general, might know what was good and bad in British social sciences, and where the promising future research opportunities lie over the next decade. Boldly called ‘Horizons and Opportunities in the Social Sciences’, the Report condensed the wisdom of social scientists, both British and foreign, and concludes with a broadly but not uncritically favourable picture of the British scene.

scholarly journals Engels’s Theory of Social Murder and the Spectacle of Fascism: A Critical Enquiry into Digital Labour and its Alienation

2020 ◽  
Vol 19 (1) ◽  
pp. 52-67
Author(s):  
Aishik Saha
Keyword(s):  
Social Media ◽  
Working Class ◽  
Social Relations ◽  
Authoritarian Regimes ◽  
Digital Capitalism ◽  
The Social ◽  
Theory Of Value ◽  
Forms Of Violence ◽  
The Impact ◽  
Similar Development

In this paper, I shall attempt to respond to the charge that the digital labour theory, as developed by Christian Fuchs, doesn’t faithfully stick to the Marxist schema of the Labour Theory of Value by arguing that Marx’s critique of capitalism was based on the social and material cost of exploitation and the impact of capitalist exploitation of the working class. Engels’s analysis of The Condition of The Working Class in England links the various forms of violence faced by the working class to the bourgeois rule that props their exploitation. I shall argue, within the framework of Critical Social Media Studies, that the rapid advance of fascist and authoritarian regimes represents a similar development of violence and dispossession, with digital capitalism being a major factor catalysing the rifts within societies. It shall be further argued that much like the exploitative nature of labour degrades social linkages and creates conditions of that exaggerates social contradictions, the “labour” performed by social media users degenerates social relations and promotes a hyper-violent spectacle that aids and abets fascist and authoritarian regimes.

Inventing the Social

2018 ◽  
Author(s):  
Alex Wilkie
Keyword(s):  
Social Science ◽  
Digital Media ◽  
Social Life ◽  
Social Research ◽  
Ways Of Knowing ◽  
Creative Practice ◽  
The Arts ◽  
Starting Point ◽  
The Social

Inventing the Social, edited by Noortje Marres, Michael Guggenheim and Alex Wilkie, showcases recent efforts to develop new ways of knowing society that combine social research with creative practice. With contributions from leading figures in sociology, architecture, geography, design, anthropology, and digital media, the book provides practical and conceptual pointers on how to move beyond the customary distinctions between knowledge and art, and on how to connect the doing, researching and making of social life in potentially new ways. Presenting concrete projects with a creative approach to researching social life as well as reflections on the wider contexts from which these projects emerge, this collection shows how collaboration across social science, digital media and the arts opens up timely alternatives to narrow, instrumentalist proposals that seek to engineer behaviour and to design community from scratch. To invent the social is to recognise that social life is always already creative in itself and to take this as a starting point for developing different ways of combining representation and intervention in social life.

Positivism in the social sciences

2018 ◽  
Author(s):  
Harold Kincaid
Keyword(s):  
Social Sciences ◽  
Social Science ◽  
Scientific Method ◽  
Quantitative Data ◽  
Social Research ◽  
A Priori ◽  
Methodological Individualism ◽  
Main Function ◽  
Social Convention ◽  
The Social

Positivism originated from separate movements in nineteenth-century social science and early twentieth-century philosophy. Key positivist ideas were that philosophy should be scientific, that metaphysical speculations are meaningless, that there is a universal and a priori scientific method, that a main function of philosophy is to analyse that method, that this basic scientific method is the same in both the natural and social sciences, that the various sciences should be reducible to physics, and that the theoretical parts of good science must be translatable into statements about observations. In the social sciences and the philosophy of the social sciences, positivism has supported the emphasis on quantitative data and precisely formulated theories, the doctrines of behaviourism, operationalism and methodological individualism, the doubts among philosophers that meaning and interpretation can be scientifically adequate, and an approach to the philosophy of social science that focuses on conceptual analysis rather than on the actual practice of social research. Influential criticisms have denied that scientific method is a priori or universal, that theories can or must be translatable into observational terms, and that reduction to physics is the way to unify the sciences. These criticisms have undercut the motivations for behaviourism and methodological individualism in the social sciences. They have also led many to conclude, somewhat implausibly, that any standards of good social science are merely matters of rhetorical persuasion and social convention.

Experiments in social science

2018 ◽  
Author(s):  
John A. Hughes
Keyword(s):  
Social Psychology ◽  
Experimental Design ◽  
Social Science ◽  
Social Research ◽  
Experimental Studies ◽  
Natural Sciences ◽  
Hawthorne Effect ◽  
Experimental Conditions ◽  
Control Factors ◽  
The Social

Within social science the experiment has an ambiguous place. With the possible exception of social psychology, there are few examples of strictly experimental studies. The classic study still often cited is the Hawthorne experiments, which began in 1927, and is used mainly to illustrate what became known as the ‘Hawthorne Effect’, that is, the unintended influence of the research itself on the results of the study. Yet, experimental design is often taken within social research as the embodiment of the scientific method which, if the social sciences are to reach the maturity of the natural sciences, social research should seek to emulate. Meeting this challenge meant trying to devise ways of applying the logic of the experiment to ‘non-experimental’ situations where it was not possible directly to manipulate the experimental conditions. Criticisms have come from two main sources: first, from researchers who claim that the techniques used to control factors within non-experimental situations are unrealizable with current statistical methods and, second, those who reject the very idea of hypothesis-testing as an ambition for social research.

scholarly journals A Citizen’s Claim: Science With and for Society

2020 ◽  
Vol 26 (8-9) ◽  
pp. 943-947 ◽  
Author(s):  
Marta Soler ◽  
Aitor Gómez
Keyword(s):  
Social Science ◽  
Social Impact ◽  
Social Research ◽  
Social Science Research ◽  
Qualitative Evaluation ◽  
Science Research ◽  
Science Inquiry ◽  
Vulnerable Groups ◽  
The Social ◽  
Qualitative Methodologies

Social science research has been attacked by neoliberal thinkers who allege that such research lacks economic objectives. In the face of neoliberal and positivist criteria for evaluating the social impact of social science inquiry, social science researchers are developing qualitative evaluation methodologies through which we can have direct contact with citizens. These qualitative methodologies declare our social responsibility as social researchers in addressing relevant problems, especially those affecting the most vulnerable people. From these qualitative methodologies, the most vulnerable groups are included in the assessment of the social impacts of social research. Some examples of people who have participated in this qualitative evaluation include women, youth, immigrants, and Roma organizations. Participants perceived social science researchers as being far from their social reality, but in this research, they began to overcome their skepticism that social science research can help to solve those problems affecting their everyday lives.

scholarly journals For a heterodox computational social science

2021 ◽  
Vol 8 (2) ◽  
pp. 205395172110477
Author(s):  
Petter Törnberg ◽  
Justus Uitermark
Keyword(s):  
Complex System ◽  
Social Science ◽  
Computational Methods ◽  
Social Life ◽  
Critical Realism ◽  
Computational Social Science ◽  
Digital Data ◽  
Neoclassical Economics ◽  
Research Strategies ◽  
Digital Capitalism

The proliferation of digital data has been the impetus for the emergence of a new discipline for the study of social life: ‘computational social science’. Much research in this field is founded on the premise that society is a complex system with emergent structures that can be modeled or reconstructed through digital data. This paper suggests that computational social science serves practical and legitimizing functions for digital capitalism in much the same way that neoclassical economics does for neoliberalism. In recognition of this homology, this paper develops a critique of the complexity perspective of computational social science and argues for a heterodox computational social science founded on the meta-theory of critical realism that is critical, methodological pluralist, interpretative and explanative. This implies diverting computational social science’ computational methods and digital data so as to not be aimed at identifying invariant laws of social life, or optimizing state and corporate practices, but to instead be used as part of broader research strategies to identify contingent patterns, develop conjunctural explanations, and propose qualitatively different ways of organizing social life.

scholarly journals Citizen Social Science in practice: a critical analysis of a mental health community-based project

2019 ◽  
Author(s):  
Isabelle Bonhoure ◽  
Anna Cigarini ◽  
Julian Vicens ◽  
Josep Perelló
Keyword(s):  
Mental Health ◽  
Social Science ◽  
Citizen Science ◽  
Critical Analysis ◽  
Computational Social Science ◽  
Mental Condition ◽  
Community Based ◽  
Health Community ◽  
The Social

“Citizen Social Science” is a fast-growing term within Citizen Science world but not many experiences have been shared in the literature to better shape its meaning. This article discusses novel possibilities of these participatory practices through the critical analysis of a concrete community-based project. We here embrace under the “Social” tag of Citizen Social Science both Computational Social Science methodologies and the Social concerns expressed by the mental health community. The interpretation place persons with a mental condition, as well as caregivers and relatives, at the center of the research cycle by taking the role of Competent Experts In-The-Field. A synergetic relation between Citizen Science, Mental Health research and Computational Social Science also imply a conceptual shift in comparison to standard approaches such as the inclusion of research subjects as active co-designers or the consideration of communitarian spaces as most natural experimental spaces. We here describe how these concepts are put into practice during the whole duration of a research project that has studied the social interactions inside the Community Mental Health Care ecosystem. Important steps entail the creation of a Knowledge Coalition, including a diversity of relevant actors with diverse knowledge and expertise, that is later involved in co-designing the research and in embedding experimental settings in communitarian spaces. The experience allows us to open a wider discussion on the possibilities and limitations of Citizen Social Science practices. Having in mind the ethical debate raised by Citizen Science Public Health and Patients’ driven research, we propose a set of values and practices to be agreed on. We also analyse the participation of the scientists in these kind of projects, which forces them to adopt the role of “camaleons” when executing diverse and versatile tasks. We additionally advocate for a more extended collective interpretation of the results in order to produce socially robust knowledge and enhance actions and policies grounded on these results. Exemplified with the experience herein presented, a more horizontal process that include the enhancement of participation and the revision of the notion of experiment offer new opportunities for Social Sciences from a multidisciplinary perspective.

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