This essay examines dataveillance, focusing on the state's use of personal data for both service delivery and surveillance. It argues that while some surveillance is justified, governments often misuse data for control and repression, amplified by modern information technology and social media. The paper highlights key dangers, including wrong identification, profiling, and social inequality, using India's Aadhaar system as a case study. Ultimately, it concludes that unchecked dataveillance threatens individual privacy, civil liberties, and democratic principles.
Table of Contents
1. Introduction
2. Surveillance and Dataveillance
3. Dangers of Dataveillance
4. Dataveillance Case Study: India
5. Social Media and Dataveillance
6. Conclusion
Objectives and Topics
This essay evaluates the role of the state in modern dataveillance, specifically analyzing how information technology and big data analytics have transformed state surveillance capabilities. The research explores the tension between using data for public service delivery and the resulting threats to individual privacy, democratic norms, and civil liberties.
- Conceptual foundations of surveillance and dataveillance
- Risks associated with mass data collection and algorithmic profiling
- The impact of national identity databases on citizenship and rights
- The role of social media as an environment for state surveillance
- Challenges to democracy and e-governance in the age of datafication
Excerpt from the Book
Dangers of Dataveillance
Dataveillance poses numerous threats to individual or public members. Dataveillance is an arbitrary action that occurs even in cases where there was no previous suspicion. Dataveillance gives the state powers to interfere with a person’s liberties on the assumption that the person has committed, is committing or is planning to commit a crime. While such actions are justified for the sake of national security, such as terrorism or to prevent organised or violent crimes, the problems with dataveillance include wrong identification. According to Arora (2019), the dataveillance techniques can sometimes lead to unclear and inconsistent conclusions as they are context-dependent. In addition, low-quality data can lead to the arrest or punishment of the wrong people. When the data lacks a common identifier, dataveillance can result in multiple type-1 errors (high proportion of spurious matches) and type-2 errors (undetected matches). Low-quality data are outcomes of incomplete data, misspellings, variants and other inaccuracies.
Dataveillance results in profiling (Büchi et al., 2022). Profiling refers to judging a person based on their past behaviour and actions or comparing them with people who have similar profiles. The use of statistical techniques such as discriminant analysis and multivariate correlation in dataveillance results in the creation of multiple profiles of individuals, which law enforcers use in making systemic reasoning. When these profiles are shared with unprofessional or inadequately trained law enforcers, then such a profiling approach becomes a witch-hunting tool. Profiling seeks to provide a greater probability of detecting undesirable people or criminals before they commit a crime (Büchi et al., 2022). However, in a democratic society, even when the dataveillance is successful, it encounters numerous moral and legal challenges. Despite the immorality and illegality of many dataveillance techniques, governments have increased their efforts in dataveillance initiatives due to their cost-effectiveness and customisation ability (Stockmann, 2023).
Summary of Chapters
Introduction: Provides the context of state-led data collection for public services and introduces the central research focus on the role of the state in dataveillance.
Surveillance and Dataveillance: Defines the transition from physical surveillance to modern computer-based dataveillance and distinguishes between personal and mass surveillance techniques.
Dangers of Dataveillance: Examines the risks of inaccurate profiling, the potential for systemic bias, and the moral and legal challenges posed by data-driven law enforcement.
Dataveillance Case Study: India: Uses the Aadhaar biometric database as a case study to demonstrate the complexities and human rights implications of centralized digital identity systems.
Social Media and Dataveillance: Analyzes how governments leverage social media data for surveillance and the resulting impacts on freedom of speech and democratic processes.
Conclusion: Summarizes the findings regarding the tension between e-governance objectives and the violation of privacy rights in the contemporary digital landscape.
Keywords
Dataveillance, Surveillance, State Power, Information Technology, Privacy Rights, Mass Data, Aadhaar, Social Media, E-governance, Profiling, Big Data, Democracy, Digital Identity, Algorithmic Bias, National Security
Frequently Asked Questions
What is the primary focus of this work?
The essay explores how modern states utilize dataveillance technologies to monitor citizens, investigating the dual nature of these practices as both tools for service delivery and instruments of potential repression.
What are the main thematic areas covered?
Key themes include the evolution of surveillance, the risks of datafication, the impact of national identity systems like Aadhaar, and the role of social media in modern state governance.
What is the core research question?
The work examines the role of the state in dataveillance, focusing on how these technologies are implemented and what consequences they have for democratic societies.
Which scientific methods were applied?
The paper utilizes a qualitative evaluation of existing academic articles, publications, and case studies to synthesize the current state of dataveillance research.
What topics are discussed in the main body?
The main body covers definitions of surveillance, technical and legal dangers of dataveillance, specific case studies in India, and the relationship between social media analytics and state control.
How can the work be categorized using keywords?
The work is defined by concepts such as Dataveillance, Privacy, Digital Identity, E-governance, and State Surveillance.
How does the Aadhaar system illustrate the risks of dataveillance?
The Indian Aadhaar system is cited as an example where centralization of personal data intended for welfare access can simultaneously be used for intrusive profiling and unwanted tracking by the state.
In what way does social media facilitate state surveillance?
Social media provides a massive data bank that states can leverage for sentiment analysis and behavioral prediction, though AI tools often struggle with language nuances, leading to potential biases.
- Quote paper
- Anonymous (Author), 2023, Dataveillance and the State. Surveillance, Privacy, and Digital Governance in the Age of Big Data, Munich, GRIN Verlag, https://www.grin.com/document/1607989
