LinkedIn

Report March 2025

Submitted
Commitment 28
COOPERATION WITH RESEARCHERS Relevant Signatories commit to support good faith research into Disinformation that involves their services.
We signed up to the following measures of this commitment
Measure 28.1 Measure 28.2 Measure 28.3 Measure 28.4
In line with this commitment, did you deploy new implementation measures (e.g. changes to your terms of service, new tools, new policies, etc)?
Yes
If yes, list these implementation measures here
Published details on our [Beta]  
Do you plan to put further implementation measures in place in the next 6 months to substantially improve the maturity of the implementation of this commitment?
Yes
If yes, which further implementation measures do you plan to put in place in the next 6 months?
Ongoing review of researcher feedback and needs may result in additional measures and resources being made available.
 
Update our program in light of regulatory guidance that may be provided pursuant to Art. 40 of the DSA, including the upcoming delegated act on access to online platform data for vetted researchers.   
Measure 28.1
Relevant Signatories will ensure they have the appropriate human resources in place in order to facilitate research, and should set-up and maintain an open dialogue with researchers to keep track of the types of data that are likely to be in demand for research and to help researchers find relevant contact points in their organisations.
QRE 28.1.1
Relevant Signatories will describe the resources and processes they deploy to facilitate research and engage with the research community, including e.g. dedicated teams, tools, help centres, programs, or events.
LinkedIn facilitates research, engages with the research community, and provides data to the research community in a variety of ways, as described below and in QRE 26.1-2.

Historically, LinkedIn’s work with external stakeholders, including, for example, research institutes, and academia, to understand the rapidly changing world of work through access to and use of LinkedIn data. Additionally, LinkedIn employs academics to gain practical experience combining industry knowledge with academic expertise to solve complex business problems spanning all areas of engineering, with an initial focus on artificial intelligence (including work related to large recommender systems and deep learning algorithms) and data science. 

While the foregoing work remains critical to our mission, we are working to expand access to data for research purposes consistent with the goals of the CoP as well as the applicable requirements of the DSA and look forward to providing further information on this in future reports. 

Additionally, LinkedIn regularly explores potential partnerships with non-governmental and research institutions and is actively in discussions with one research institution to conduct a data and recommender system pilot project leveraging LinkedIn data. LinkedIn hopes to publicly announce this partnership in its next report. 

Finally, LinkedIn has in place the needed teams and tools to make data available to researchers in a variety of ways, including via Excel or XML files, GitHub repositories, sandboxed laptops, and APIs.