LNIC Research Reports // DRAFT

SCOPE IT: 7 Steps Towards Understanding the Journalism Employment Landscape

Dr. Jennifer R. Henrichsen, Sakshi Bhalla, Dr. Louisa Lincoln, Dr. Benjamin Toff, and Lisa Waananen Jones
August 2026 | Download Report (PDF)

Conclusion

Using a Layered Approach for a Holistic View of Journalism Employment

This report presented past and present approaches for measuring local journalism employment, including the tradeoffs and limitations of each. It provided a snapshot of existing resources and approaches and a roadmap for how researchers could carry out their own projects assessing local journalism employment in their communities. 

In summary, journalism employment is best measured through a layered approach, including combining multiple approaches to obtain a holistic view of journalism employment in a news organization. The approaches researchers use should reflect their research questions and goals and their concepts and units of analysis should be clearly defined.

In conclusion, we would like to offer some final recommendations and best practices:

1. Keep in mind definitional specificity

An important principle to keep in mind when you are conducting your research study is the different ways in which researchers define key concepts, including journalists and news organizations. When deciding which database(s) to use, it’s important to ensure you know these different definitions in order to apply them carefully and accurately.

2. Treat employment counts as indicators, not absolutes

There was broad agreement among members of the journalism employment working group that employment figures should be framed as signals of capacity, not definitive measures of community information needs or democratic health. Working group members noted that other factors — such as medium, ownership, and/or business model — can affect newsrooms’ capacity, beyond employment figures. In other words, two news organizations employing the same number of journalists can nonetheless have vastly different outputs.

3. Studies Should Document Tradeoffs Transparently

Future studies of journalism employment should acknowledge limitations and blind spots inherent to selected approaches or operationalizations — the Local Journalist Index’s Methodology section is a good example of this. In doing so, researchers should explain why particular methods were chosen over others, and clarify what conclusions can and cannot be drawn based on the selected methodology.

4. Reduce Burden on Newsrooms and Improve Research Coordination

Working group members repeatedly raised concerns about survey fatigue among news organizations and duplication of effort across policy and research initiatives. There was agreement that sharing instruments, aligning on definitions, and coordinating data collection are all important steps forward.

5. To Be Most Comprehensive, Combine Approaches

As noted throughout this toolkit, the most comprehensive and precise studies of local journalism employment combine multiple research approaches to cross-check and validate data. For example, a statewide survey could be combined with desk research and/or content- and byline-based approaches to account for nonrespondents. If the purpose you established in Step 1 demands precision and a “ground truth” — as in the case of policymakers, for example — consider combining methods for a more comprehensive assessment of local journalism employment in your region.

About this report

This report is a collaborative and open-source approach to the study of journalism employment. It stems from discussions with scholars and practitioners who engaged with the Journalism Employment Working Group, affiliated with the Local News Impact Consortium (LNIC), an open-source initiative that unites researchers, journalists, and funders to rebuild sustainable, data-driven local news ecosystems. Learn more about the research team >

Want to join our team? Whether you’re a researcher, journalist, or funder, the LNIC invites you to join our mission to help ensure local communities have access to trustworthy news and information. Learn more about the LNIC >

Creative Commons License

The LNIC is an open-source initiative to rebuild sustainable, data-driven local news ecosystems. This license enables reusers of this report to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator. If you remix, adapt, or build upon the material, you must license the modified material under identical terms. CC BY-NC-SA includes the following elements:

  • BY: Credit must be given to the creator.
  • NC: Only noncommercial uses of the work are permitted.
  • SA: Adaptations must be shared under the same terms.

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