Abstract
Many factors have caused an absolute upheaval across the globe, the Pandemic is one of them. It has proved to be so intense and pervasive that the humanity is compelled to confine itself within its threshold and is struggling to find the means of survival with the outbreak of this Pandemic. India is not an exception to this impact. The question for existence and survival of women was often ignored in patriarch societies. Women is portrayed as a subordinate and dependent upon men, though she plays pivotal role to make homely lives stable under a roof. The chapter sets up an epistemic enquiry why women and the marginalized are crushed during social, political, and pandemic crisis in the course of the history of humanity; and how social media has heled challenging these dehumanizing issues. The authors conceptualize the cognitive factors of women’s suffering and the suffering of the marginalized during pandemic lockdown. Due to pandemic situation, lockdown or public curfew causes a family to come under a roof for many days. Both dependent and self-dependent women wait for means of earnings; daily wages suffer a lot due to the uncertain curfew. Do we have any dataset of women’s exploitations, domestic violence, and death ratio of the marginalized community during pandemic lockdown? Answering to this question, the chapter defines specific reasons for their unquestioned suffering with emphasis on exploring research in Big Data Analytics for coverage of DV cases, preventions, and controls so that policies can be developed in their favors esp. in pandemic days.
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Rahaman, V., Agarwal, S. (2021). Necessity of Big Data Analytics in Social Media for Questioning the Existence and Survival of Women and the Marginalized People. In: Sharma, S., Rahaman, V., Sinha, G.R. (eds) Big Data Analytics in Cognitive Social Media and Literary Texts. Springer, Singapore. https://doi.org/10.1007/978-981-16-4729-1_7
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