Project Title: Data Colonialism: Implications for the Global South and Global North
Role: Data Analyst
Project Description: This project explored the concept of data colonialism and its impact on the Global South and Global North, focusing on how data acts as a new form of colonialism affecting various aspects of society, economy, and politics. The study also examined the role of big data during the COVID-19 pandemic and its implications on public opinion and policy through social media platforms like Weibo and Twitter.
Key Responsibilities:
Data Collection and Analysis:
Conducted a comprehensive literature review to define data colonialism and its manifestations in different geopolitical contexts.
Analysed the use of big data technologies during COVID-19, focusing on their roles and functions as summarised in a systematic literature review by Haafza et al. (2021) .
Methodological Approach:
Investigated the use of social media platforms (Weibo and Twitter) during COVID-19 to illustrate how data colonialism influences public opinion and policy.
Explored the role of big data in pandemic response and its impact on exacerbating inequalities, discrimination, and conservatism .
Findings and Insights:
Identified how data colonialism perpetuates inequalities between the Global North and Global South, with data being a new resource for exploitation.
Demonstrated the significant role of social media in shaping public opinion during the COVID-19 pandemic, revealing biases and control mechanisms in place .
Project Outcomes:
Highlighted the pervasive influence of data colonialism in maintaining global inequalities, providing a critical framework for understanding how data is leveraged as a tool for control and exploitation.
Offered insights into the differential impacts of big data and social media on public opinion and policy during the COVID-19 pandemic, stressing the need for equitable data governance and ethical practices.
Contributed to academic and policy discussions on data colonialism, proposing actionable strategies to mitigate its effects and promote fair data practices globally.
Skills and Tools:
Data Collection and Analysis: Secondary Data Analysis
Research Methods: Literature Review, Qualitative Analysis
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