The Oxford Dictionaries’ 2016 Word of the Year is Post-Truth : 'relating to or denoting circumstances in which
objective facts are less influential in shaping public opinion than appeals to
emotion and personal belief." This word
seems all too appropriate for 2016 as social media has proven particularly
well-suited to creating a post-truth future.
There have been numerous reports about the spread
and influence of fake news reports that thrive on confirmation bias,
people’s tendency to believe things that reinforce their pre-existing
beliefs. This is compounded by social
media’s tendency to create
filter bubbles, where people tend to only see opinions with which they
would agree. You only need to look at
the Wall Street Journal’s Red
Feed Blue Feed site to see how differently people are seeing the
world.
On top of all this comes a new study by the Stanford
History Education Group where the authors were “taken aback” by how poorly
students were able to identify fake and highly biased sources of
information. As libraries have adapted
to a world where “everything is online” teaching how to evaluate information
sources has become a key part of our mission. In Jan of 2016, the Association of College
and Research Libraries formally adopted a Framework for Information
Literacy for Higher Education, with the first frame being “Authority Is
Constructed and Contextual.” This frame holds
as its central tenant that students who master it should be able to identify
reliable content, while also recognizing that authority is not always black and
white. At first glance, this might be
taken to fit in with the post-truth society; if we question everything, how do
we know what is real. However, as Kathleen
Higgins points out in a recent commentary in Nature, this type of
“epistemic relativism” should not be taken to mean that truth does not matter. Instead, it means that “truth” can be tricky
and often requires more thoughtful reflection and investigation. It requires us to take the time to examine and
understand all sides and question our own biases before reaching a conclusion.
If you find your own social media to be an echo chamber, one
simple thing you can do (in Facebook anyway) is to make sure you click, like or
comment on posts from people whose views don’t necessarily match your own. Otherwise, Facebook’s
algorithms will hide posts from those people and you might miss out on alternative
points of views.
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