LinkedIn

Report March 2025

Submitted
Commitment 26
Relevant Signatories commit to provide access, wherever safe and practicable, to continuous, real-time or near real-time, searchable stable access to non-personal data and anonymised, aggregated, or manifestly-made public data for research purposes on Disinformation through automated means such as APIs or other open and accessible technical solutions allowing the analysis of said data.
We signed up to the following measures of this commitment
Measure 26.1 Measure 26.2 Measure 26.3
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
Beta program to allow bonafide researchers to access public data for research on impact of misinformation and other online harms impacting the Union. 
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?
No
If yes, which further implementation measures do you plan to put in place in the next 6 months?
Not applicable
Measure 26.1
Relevant Signatories will provide public access to non-personal data and anonymised, aggregated or manifestly-made public data pertinent to undertaking research on Disinformation on their services, such as engagement and impressions (views) of content hosted by their services, with reasonable safeguards to address risks of abuse (e.g. API policies prohibiting malicious or commercial uses).
QRE 26.1.1
Relevant Signatories will describe the tools and processes in place to provide public access to non-personal data and anonymised, aggregated and manifestly-made public data pertinent to undertaking research on Disinformation, as well as the safeguards in place to address risks of abuse.
LinkedIn supports the aims of the research community and regularly provides information and data to the research community in a variety of ways. 

To date, we have made non-personal, aggregated data publicly available (data on gender equity in the workplace, data on green skills and jobs, data on industry and job skills, and data on engagement with labor markets and employment trends).  Our goal with this action to enable researchers to understand the rapidly changing world of work through access to and use of LinkedIn data. Because much of our data is publicly available, the extent to which such data has been used for disinformation related research purposes cannot easily be ascertained.

Additionally, LinkedIn is expanding its API access for public data for disinformation related research purposes. Information about the LinkedIn APIs are available to the public and researcher access is provided here.  

Finally, Microsoft is also a leader in research in Responsible AI and provides a range of tools and resources dedicated to promoting responsible usage of artificial intelligence to allow practitioners and researchers to maximize the benefits of AI systems while mitigating harms. For example, as part of its Responsible AI Toolbox, Microsoft provides a Responsible AI Mitigations Library, which enables practitioners to more easily experiment with different techniques for addressing failure (which could include inaccurate outputs), and the Responsible AI Tracker, which uses visualizations to show the effectiveness of the different techniques for more informed decision-making.  These tools are available to the public and research community for free. 

QRE 26.1.2
Relevant Signatories will publish information related to data points available via Measure 25.1, as well as details regarding the technical protocols to be used to access these data points, in the relevant help centre. This information should also be reachable from the Transparency Centre. At minimum, this information will include definitions of the data points available, technical and methodological information about how they were created, and information about the representativeness of the data.
LinkedIn published information on its [Beta] Researcher Access Program researcher access to public data.

SLI 26.1.1
Relevant Signatories will provide quantitative information on the uptake of the tools and processes described in Measure 26.1, such as number of users.
LinkedIn will publish information as it continues to build its data research program pertinent to these commitments.