The December attack in San
Bernardino prompted people to ask whether or not the government should be
more active in using social media data to prevent such things from happening
again. Certainly, social data can be highly valuable, but it has its
limitations, and agencies must be aware of how best to use it.
Determining sentiment – It
is very useful to understand how citizens feel about certain issues such as a
new a policy. Many programs will try to determine sentiment by categorizing
certain words as positive or negative. However, it is important to remember
that sentiment isn’t black or white. Something can be said with sarcasm or
irony and mean the opposite of what it seems at face value. True sentiment
analysis must take context into consideration. As humans, we understand things
that simple algorithms do not. Short of manually assessing sentiment, agencies
should look for programs that incorporate natural language processing, network
and demographic mapping, and additional content related to conversations.
Predicting outcomes – What
can social media tell us about the future? The USGS has found that
real-time tweet data was able to predict earthquakes, often faster than even
seismic tools could. Social media has also helped to track epidemics and
provide early warnings in cases like Ebola. All of this is done through a
process of identifying patterns, assessing trends, and understanding networks.
However, it’s worth noting that these predictions are often of near-future
events. Predicting how many earthquakes will happen or the strain of next
year’s flu is much more difficult. Predicting future outcomes requires
strong patterns – the more random or rare the outcome, the less likely we are
able to predict it. In addition, agencies shouldn’t expect social media data
alone to provide all the answers, but should look to combine it with other data
sources as well.
Improving delivery – Where
social data is not exactly a crystal ball with every answer, it absolutely is still an opportunity to improve the citizen experience. As pointed out in
DigitalGov’s Federal Social Media Analytics Toolkit, benefits include: More
effective distribution of critical information, more responsive public
programs, better-informed strategies, and increased use of innovative tools and
services. Through analyses of social interactions, organizations can determine
what’s working and what’s not, what citizens need, and how best to respond. For
example, an agency may find that citizens are repeatedly asking the same
question, mention difficulty with a particular service, use a hashtag related
to a common issue, or seem to be unaware of a new campaign. Each piece of data provides
insight to an agency on how to better serve its constituents. Organizations
should look to combine a variety of metrics to get the best picture.
Social data may not have all the
answers; alone, it cannot predict every possible outcome, but it is an important
piece of the puzzle. Understanding there are limitations to the data as well as
a need to weigh a citizen’s right to privacy, there are still many ways social
media metrics can help agencies better achieve their missions. Platforms’
built-in analytics, such as Twitter Analytics, Facebook Insights, or Google
analytics, are typically free and a good place to start.
Written by: Nicolas Verbeeck
Nicolas was born in Belgium and became an expert in consuming excellent beers, chocolate and waffles. During the winter period you can find him on a hockey pitch and in summer he loves to go for a swim or a surf. In 2013 Nicolas was wondering what the beers, chocolate and waffles would taste like in Australia and never came back. One reason… the weather. Nicolas obtained a masters in International Politics and tries to use this background to produce excellent conferences at Akolade.
No comments :
Post a Comment