EconPapers    
Economics at your fingertips  
 

Property of the Social Media Data

Hans-Bernd Schäfer () and Ram Singh ()
Additional contact information
Ram Singh: Delhi School of Economics

Chapter Chapter 2 in Law and Economic Development, 2023, pp 13-46 from Springer

Abstract: Abstract The internet technology allows the harvesting, storage, processing, and marketing of large datasets about persons and things. The raw data often contain protected information on individuals. Internet regulation must therefore achieve three policy goals. It must protect the privacy of internet users. It must incentivize the production of derived new and socially valuable datasets and consequently open access to raw data from data controllers and it must prevent the use of data for unproductive, purely redistributive purposes, often resulting from unfair business practices. The current global legal situation achieves none of these goals. It allows the internet giants to achieve market dominance and make monopoly profits, divert income streams, cut off potential competitors from the access to raw data, and reduce consumer welfare. And it does not sufficiently protect personal data. The efficient use of raw data cannot be achieved by competition law alone but rather through a combination of different property rights, an alienable erga omnes right for the subjects of information to protect their privacy, and open access to depersonalized raw data for competitors, which would remove the current de facto property of data controllers by trade secrets. Processed and newly derived datasets should, however, remain protected by copyright law.

Keywords: Data protection; Markets for data; Social media; Competition law; Property of data (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-24938-9_2

Ordering information: This item can be ordered from
http://www.springer.com/9783031249389

DOI: 10.1007/978-3-031-24938-9_2

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-31
Handle: RePEc:spr:sprchp:978-3-031-24938-9_2