While we all read and peruse documents from many
sources, what can you do to tell whether the information,
knowledge and facts are true?
It is a dilemma we all face. Are there rules of thumb
or practices to adopt that could help us?
I have been taken by a book by Bill Kovach and Tom
Rosenstiel, titled “Blur” with a long subtitle that is a
Kovach and Rosenstiel have collaborated on journalism
texts and, as journalism has extended into wider realms,
have expanded their audience view in this book. They
authored a readable tool that provides some insights
on how we should engage the items we read.
The book provided excellent criteria for me to read
the “Disappearing jobs” article and offer constructive
feedback that the trends commented on were not new
and “surprising” but have been the case for the forty
years as I have observed them.
An eye-catcher for me was the authors clustering of
news media items as
- accurate and contextualized stories based on confirmed
evidence, with valid conclusions from knowledgeable
- immediate and on the spot recording of developments
as they happen providing a flow and attention-grabbing
conduit. Little cause and effect, authors act as monitors
and impact not always clear. [assertion]
- reporting items with a slant reaffirming the mindset
of an intended audience. Sometimes it is clear that the
words and inflections reflect an agenda. [affirmation]
- depictions of incidents or allegations that appear like
news worthy items that are targeted to support or oppose
points of view. [interest-group]
The authors propose strategies to deal with each in
objective manners. They also point out that newer media
types, such as aggregation, blogging, tweeting and
texting are communication forms that should be examined
as one or a blend of the four models.
So, my estimate is that the article mentioned above
reflects the journalism of assertion, the second cluster.
There are many other places these observable trends
can be applied, especially in the business world and
technology, science and engineering forecasting.