Mapping Civil Society in the Digital Age: Critical Reflections From a Project Based in the Global South

2021 ◽  
pp. 089976402110574
Author(s):  
Megan LePere-Schloop ◽  
Susan Appe ◽  
Peter Adjei-Bamfo ◽  
Sandy Zook ◽  
Justice N. Bawole
Keyword(s):  
Machine Learning ◽  
Civil Society ◽  
Nongovernmental Organizations ◽  
Nonprofit Organizations ◽  
Computational Methods ◽  
Knowledge Production ◽  
New Technologies ◽  
Digital Age ◽  
Global South ◽  
Critical Reflections

Initiatives to map nonprofit organizations encompass efforts to define the boundaries of the sector and understand its scope and scale. As new technologies make it possible to digitize and analyze information in new ways, further questions about mapping civil society emerge. We integrate nonprofit scholarship, critical work on computational methods, and reflection on our experiences using machine learning to map nongovernmental organizations in Ghana, to develop a critical framework for mapping civil society in the digital age. The issues we raise about computational methods are embedded within greater concerns about the taken-for-granted assumptions in mapping civil society, and mapping as a tool to control, manage, and manipulate civil society. We are particularly attentive to the power within mapping as a mode of knowledge production.

scholarly journals Block chain based Malware Detection using Machine Learning Algorithms for IoT enabled E-Health Applications

2021 ◽  
pp. 73-82
Keyword(s):  
Machine Learning ◽  
New Technologies ◽  
Learning Algorithms ◽  
Malware Detection ◽  
Digital Age ◽  
Machine Learning Algorithms ◽  
Private Cloud ◽  
Block Chain ◽  
Iot Devices ◽  
Health Applications

Due to increasing digitalization and the development of new technologies such as the IoT, the application of machine learning (ML) algorithms is rapidly expanding (IoT). ML algorithms are being used in healthcare, IoT, engineering, finance, and other fields in today's digital age. However, in order to predict/solve a specific issue, all of these algorithms must be taught. There's a good chance that the training datasets have been tampered with, resulting in skewed findings. As a result, we have suggested a blockchain-based approach to protect datasets produced by IoT devices for E-Health applications in this paper. To address the aforementioned problem, the suggested blockchain-based system makes use of a private cloud. For assessment, we created a mechanism that dataset owners may use to protect their data.

A Brief Survey of Machine Learning Methods in Identification of Mitochondria Proteins in Malaria Parasite

2020 ◽  
Vol 26 (26) ◽  
pp. 3049-3058
Author(s):  
Ting Liu ◽  
Hua Tang
Keyword(s):  
Machine Learning ◽  
Computational Methods ◽  
Future Development ◽  
Malaria Parasite ◽  
Mitochondrial Proteins ◽  
Learning Methods ◽  
Machine Learning Methods ◽  
Effective Drugs ◽  
Construction Strategies ◽  
Day By Day

The number of human deaths caused by malaria is increasing day-by-day. In fact, the mitochondrial proteins of the malaria parasite play vital roles in the organism. For developing effective drugs and vaccines against infection, it is necessary to accurately identify mitochondrial proteins of the malaria parasite. Although precise details for the mitochondrial proteins can be provided by biochemical experiments, they are expensive and time-consuming. In this review, we summarized the machine learning-based methods for mitochondrial proteins identification in the malaria parasite and compared the construction strategies of these computational methods. Finally, we also discussed the future development of mitochondrial proteins recognition with algorithms.

scholarly journals Family multilingualism from a southern perspective: Language ideologies and practices of Brazilian parents in Norway

Multilingua ◽  
2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Rafael Lomeu Gomes
Keyword(s):  
Social Class ◽  
Knowledge Production ◽  
Language Ideologies ◽  
Global South ◽  
Theoretical Framework ◽  
Interview Data ◽  
Language Practices ◽  
Epistemic Justice ◽  
Intercultural Encounters ◽  
Race Ethnicity

AbstractThis article derives from a three-year ethnographic project carried out in Norway focusing on language practices of Brazilian families raising their children multilingually. Analyses of interview data with two Brazilian parents demonstrate the relevance of examining intersectionally the participants’ orientation to categorisations such as social class, gender, and race/ethnicity. Additionally, I explore how parents make sense of their transnational, multilingual experiences, and the extent to which these experiences inform the language-related decisions they make in the home. Advancing family multilingualism research in a novel direction, I employ a southern perspective as an analytical position that: (i) assumes the situatedness of knowledge production; (ii) aims at increasing social and epistemic justice; (iii) opposes the dominance of Western-centric epistemologies; and (iv) sees the global South as a political location, not necessarily geographic, but with many overlaps. Finally, I draw on the notions of intercultural translation and equivocation to discuss the intercultural encounters parents reported. The overarching argument of this article is that forging a southern perspective from which to analyse parental language practices and beliefs offers a theoretical framework that can better address the issues engendered by parents engaged in South–North transnational, multilingual practices.

Special section: Is feminism doomed? Feminist praxis in the times of ‘gender ideology’ in Slovakia

2020 ◽  
pp. 135050682097915
Author(s):  
Zuzana Maďarová ◽  
Veronika Valkovičová
Keyword(s):  
Civil Society ◽  
Gender Equality ◽  
Knowledge Production ◽  
Special Section ◽  
Gender Ideology ◽  
Civil Society Organizations ◽  
Far Right ◽  
And Gender ◽  
The Times ◽  
Feminist Organizing

Thirty years after the Velvet Revolution, Slovak feminist activists look back to the 1990s and early 2000s as the time of exceptional capacity building and knowledge production which was barely sustained in later years. The last decade of feminist organizing has been marked by waning financial resources for civil society organizations, and appropriation of feminist and gender equality agenda by the state, which led to the hollowing out of its content. What is more, strong and pervasive conservative pressure with the aid of ‘gender ideology’ rhetoric has been successful in delegitimizing gender equality policies and is consistently threatening sexual and reproductive rights in the country. Facing such prospects, this article examines newfound alliances and diverse forms of broadly understood feminist praxis, which go beyond institutionalized civil society, but have developed to counter neoconservative and far-right political pressure in Slovakia.

Governance and Business-Society Relations in Areas of Limited Statehood: An Introduction

2021 ◽  
pp. 000765032098508
Author(s):  
Sameer Azizi ◽  
Tanja Börzel ◽  
Hans Krause Hansen
Keyword(s):  
Social Inequality ◽  
Ethnic Diversity ◽  
Global South ◽  
Special Issue ◽  
Introductory Article ◽  
Collective Goods ◽  
International Ngos ◽  
State Actors ◽  
The Relationship ◽  
Critical Reflections

In this introductory article we explore the relationship between statehood and governance, examining in more detail how non-state actors like MNCs, international NGOs, and indigenous authorities, often under conditions of extreme economic scarcity, ethnic diversity, social inequality and violence, take part in the making of rules and the provision of collective goods. Conceptually, we focus on the literature on Areas of Limited Statehood and discuss its usefulness in exploring how business-society relations are governed in the global South, and beyond. Building on insights from this literature, among others, the four articles included in this special issue provide rich illustrations and critical reflections on the multiple, complex and often ambiguous roles of state and non-state actors operating in contemporary Syria, Nigeria, India and Palestine, with implications for conventional understandings of CSR, stakeholders, and related conceptualizations.

Mapping Senufo: Reframing Questions, Reevaluating Sources, and Reimagining a Digital Monograph

2021 ◽  
pp. 1-45
Author(s):  
Susan Elizabeth Gagliardi ◽  
Constantine Petridis
Keyword(s):  
Computational Methods ◽  
Knowledge Production ◽  
Knowledge Construction ◽  
Digital Technologies ◽  
Historical Research ◽  
Production Of Knowledge ◽  
Digital Publication ◽  
Politics Of Knowledge ◽  
Research Questions

Abstract Mapping Senufo: Art, Evidence, and the Production of Knowledge – an in-progress, collaborative, born-digital publication – will offer a model for joining theories about the construction of identities and the politics of knowledge production with research and publication practice. In this article, we examine how computational methods have led us to reframe research questions, reevaluate sources, and reimagine the form of a digital monograph. We also demonstrate how our use of digital technologies, attention to iteration, and collaborative mode of working have generated fresh insights into a corpus of arts identified as Senufo, the nature of evidence for art-historical research, and digital publication. We posit that the form of a digital publication itself can bring processes of knowledge construction to the fore and unsettle expectations of a tidy, authoritative narrative.

scholarly journals Linguistic drivers of misinformation diffusion on social media during the COVID-19 pandemic

2021 ◽  
Author(s):  
Giandomenico Di Domenico ◽  
Annamaria Tuan ◽  
Marco Visentin
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
New Technologies ◽  
Fake News ◽  
Conspiracy Theories ◽  
Social Media Platform ◽  
The Social ◽  
Media Platform ◽  
Textual Cues ◽  
Twitter Users

AbstractIn the wake of the COVID-19 pandemic, unprecedent amounts of fake news and hoax spread on social media. In particular, conspiracy theories argued on the effect of specific new technologies like 5G and misinformation tarnished the reputation of brands like Huawei. Language plays a crucial role in understanding the motivational determinants of social media users in sharing misinformation, as people extract meaning from information based on their discursive resources and their skillset. In this paper, we analyze textual and non-textual cues from a panel of 4923 tweets containing the hashtags #5G and #Huawei during the first week of May 2020, when several countries were still adopting lockdown measures, to determine whether or not a tweet is retweeted and, if so, how much it is retweeted. Overall, through traditional logistic regression and machine learning, we found different effects of the textual and non-textual cues on the retweeting of a tweet and on its ability to accumulate retweets. In particular, the presence of misinformation plays an interesting role in spreading the tweet on the network. More importantly, the relative influence of the cues suggests that Twitter users actually read a tweet but not necessarily they understand or critically evaluate it before deciding to share it on the social media platform.

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