Creditworthiness of private persons. An approach using social network sites

Inhaltsverzeichnis (Table of Contents)

• Introduction and Relevance within the economy
• Theory about Credit Reporting Agencies and Scoring
  • Credit Reporting Agencies
  • History of Credit Reporting Agencies
  • Functioning of Credit Reporting Agencies
  • Credit Scoring
    • Data Sources of Credit Reporting Agencies
  • Data Protection Act and Criticism towards Credit Reporting Agencies
• Social Network Data
  • Social Network Sites: A Definition
  • History and Development of Social Network Sites
  • Available Data on Social Network Sites
    • Likes
    • Pictures
    • Places
    • Groups
    • Friends
    • Family status
• Data Warehousing and Data Mining
  • Data Warehousing
  • Data Mining
  • Big Data
    • Characteristics of Big Data
    • Applications of Big Data
  • How to access Data
    • Payolution GmbH
    • Kreditech Holding SSL GmbH
    • Problems
• Facebook profiles of private insolvent persons as an attempt
  • Attempt description
  • Result of the Attempt
• Conclusion

Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)

This work aims to investigate the potential of using social network data for assessing the creditworthiness of private persons. It explores the growing importance of creditworthiness checks in today's economy, particularly in the context of distance trade and increasing private insolvency rates. The work delves into the existing mechanisms of credit reporting agencies and credit scoring, highlighting their role in addressing information asymmetry and risk mitigation. It then examines the potential of social network data as a new source of information for creditworthiness evaluations, considering the vast amount of data available on social network sites.

• Creditworthiness assessment in the context of distance trade and increasing private insolvency rates.
• Role of credit reporting agencies and credit scoring in addressing information asymmetry and risk mitigation.
• Potential of social network data as a new source of information for creditworthiness evaluations.
• Data protection concerns and ethical implications of using social network data for creditworthiness assessment.
• Technical challenges and opportunities associated with data warehousing, data mining, and the utilization of Big Data in creditworthiness assessment.

Zusammenfassung der Kapitel (Chapter Summaries)

• Introduction and Relevance within the economy: This chapter introduces the growing importance of creditworthiness checks in today's economy, highlighting the increasing reliance on distance trade and the rise in private insolvency rates. It presents the need for reliable information to mitigate risk and address information asymmetry.
• Theory about Credit Reporting Agencies and Scoring: This chapter provides an overview of credit reporting agencies and credit scoring mechanisms. It discusses their history, functioning, data sources, and legal considerations, including data protection regulations and criticisms.
• Social Network Data: This chapter defines social network sites and explores their history and development. It examines the types of data available on these platforms, including user profiles, interactions, and content, highlighting their potential for assessing creditworthiness.
• Data Warehousing and Data Mining: This chapter delves into the concepts of data warehousing and data mining, explaining how these techniques can be used to extract valuable insights from social network data. It introduces the concept of Big Data, its characteristics, and potential applications in creditworthiness assessment.
• Facebook profiles of private insolvent persons as an attempt: This chapter presents a specific case study exploring the use of Facebook profiles to assess the creditworthiness of private individuals who have declared insolvency. It describes the attempt, its methodology, and the results obtained.

Schlüsselwörter (Keywords)

This work focuses on the intersection of creditworthiness assessment, social network data, and data analytics. Key terms include credit reporting agencies, credit scoring, social network sites, Big Data, data warehousing, data mining, information asymmetry, private insolvency, and ethical considerations.