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This paper focuses on COVID-19 and human rights in the Global South. Controlling COVID-19 has become very challenging to the courtiers in the Global South and the Global North. Various restrictive measures, mainly lockdown, home quarantine, travel restrictions and social distancing have been taken in both Global North and South to control COVID-19. However, the lower-middle and poor class people of the Global South have suffered from these restrictive measures. Thus, this paper aims to explore the human rights issues of the Global South during COVID-19.

This study is a qualitative research based on secondary materials. It includes relevant scholarly articles, news reports and various reports from different national and international organizations. It critically reviews the current literature related to the topic to develop a theoretical understanding of human rights and public health in general and human rights challenges in COVID-19 in the Global South in particular. Existing international human rights principles in the case of public health were reviewed and discussed to identify the links between human rights laws in public health perspectives. Contents analysis was carried out to identify the relevant themes on the issues of human rights in response to the COVID-19 pandemic.

This paper finds that universal guidelines to control COVID-19 challenged the human rights norms, which impacts the enjoyment of human rights in the Global South. The human rights of the people in the Global South were undermined in the response to the control of COVID-19.

This paper is a significant study on the issues of human rights in public health emergencies. It addresses how the human rights of the vulnerable people in the Global South are undermined in the global pandemic response, which can be useful for the countries in the Global South for ensuring better human rights-based responses in the future.

This study aims to investigate the Big Social Data (BSD) paradigm, which still lacks a clear and shared definition, and causes a lack of clarity and understanding about its beneficial opportunities for practitioners. In the knowledge management (KM) domain, a clear characterization of the BSD paradigm can lead to more effective and efficient KM strategies, processes and systems that leverage a huge amount of structured and unstructured data sources.

The study adopts a systematic literature review (SLR) methodology based on a mixed analysis approach (unsupervised machine learning and human-based) applied to 199 research articles on BSD topics extracted from Scopus and Web of Science. In particular, machine learning processing has been implemented by using topic extraction and hierarchical clustering techniques.

The paper provides a threefold contribution: a conceptualization and a consensual definition of the BSD paradigm through the identification of four key conceptual pillars (i.e. sources, properties, technology and value exploitation); a characterization of the taxonomy of BSD data type that extends previous works on this topic; a research agenda for future research studies on BSD and its applications along with a KM perspective.

The main limits of the research rely on the list of articles considered for the literature review that could be enlarged by considering further sources (in addition to Scopus and Web of Science) and/or further languages (in addition to English) and/or further years (the review considers papers published until 2018). Research implications concern the development of a research agenda organized along with five thematic issues, which can feed future research to deepen the paradigm of BSD and explore linkages with the KM field.

Practical implications concern the usage of the proposed definition of BSD to purposefully design applications and services based on BSD in knowledge-intensive domains to generate value for citizens, individuals, companies and territories.

The original contribution concerns the definition of the big data social paradigm built through an SLR the combines machine learning processing and human-based processing. Moreover, the research agenda deriving from the study contributes to investigate the BSD paradigm in the wider domain of KM.