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- Apr 20, 2018
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In 2017, Michael W. Kearney conducted a study for the Trusting News Project to discover what news and information sources were most trusted. The goal of his study was "to better understand elements of trust and distrust in the relationship between journalists and nonjournalists" so that he could report that information to journalism organizations that would, in turn, use it to hone the nature of their communications to enhance the new-consuming public's confidence in the reliability of the messages the organizations distribute. Kearney's goal-germane findings are published on the project's website; however they are are all action-plan type findings that are useful to news publishers/producers, but largely not so much to the general public.
One by-product -- more precisely, an intermediate work product -- of Kearney's work was ascertaining what news sources are most trusted. That by-product struck me as being something that might interest readers/members here. Kearney's findings to that extent are in an attached images. The newsrooms that made the survey available are in another image.
Some observations:
Endnote:
One by-product -- more precisely, an intermediate work product -- of Kearney's work was ascertaining what news sources are most trusted. That by-product struck me as being something that might interest readers/members here. Kearney's findings to that extent are in an attached images. The newsrooms that made the survey available are in another image.
Some observations:
- I was surprised to see The Economist noted as most trusted, not because I don't trust it -- I trust it plenty; it's a publication I routinely read --but because I didn't imagine that enough folks read it that it would have made the list at all.
- Another publication I routinely read, Financial Times didn't make the list. That it didn't also surprised me. I guess I just figured that quite a lot of folks would care enough about money and finance that F. Times would be a paper (website) they read/subscribe to.
Endnote:
- I suspect someone will look at the political orientation chart Kearney published with his results and feel obligated to claim the study is biased. Before doing so while also (initially) being of a mind to do so, please read the following and Kearney's methodology exposition of weighting in his study:
- Non-random sampling (Kearney's study is non-random, so read this first)
- Random Sampling