digital marketing & social media engagement strategy consultant and trainer focused on helping governments and NGO's be more efficient and effective at what they do

international keynote speaker on the topics of digital marketing, new media, strategic communication, social media engagement, social network analysis and digital governance

Public Sector Marketing 2.0 - Mike Kujawski's blog on government, association and non-profit marketing in a Web 2.0 world

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May 19, 2015

Social Media Vigilantism – Have We Gone Too Far?

Over the course of the last few weeks there has been significant discussion about the very disturbing, derogatory and blatantly sexist #FHRITP trend. Let me point out from the get-go that I personally believe there is nothing about this trend that is excusable. It is wrong, period. I would however, like to discuss a hidden story here within the larger issue of sexual harassment.

Last Thursday, in the course of reading about the Hydro One employee being fired from his $100K+ job for participating in this sad trend, I tweeted about how this was yet another example of the need for education on personal digital footprints (something I have written extensively on). A few people took offense to my tweet in that they thought it was the wrong lesson and that “to not sexually harass women” should be the only conversation here.  I clarified my position, realizing that it was being misinterpreted and removed the original tweet to avoid any further confusion. I have rarely done this, but in this case I felt it was necessary given another rising trend occurring these days, social media vigilantism,  which I will discuss in a moment. Coincidentally, CBC actually released a documentary on Social Media Shaming as this event was unfolding (video screenshot at the top of this post).

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April 08, 2015

Integrating Social Data into Decision Making (5 Free Tools)

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Having worked on numerous digital/social organizational strategies for the better part of the last decade, I find that I still occasionally run into organizational leaders that haven’t yet integrated social data into their decision making.

At most of today’s marketing conferences and events, and in modern business literature, the bulk of attention is given to reaching and engaging with your audience on social media.  This is great, but it often misses the low-hanging fruit and far less resource intensive element of the social channel, which is the act of researching and analyzing your audience using public data generated by these social tools.

Let me give you some context by starting off with a few recent statistics:

  • World Population: 7.2 Billion
  • Active Internet Users: 3.o Billion
  • Active Social Media Accounts: 2.1 Billion
  • Number of Data Bytes Created Every Day : 2.5 Quintillion (that’s 18 zeros)

Out of those 2.1 Billion active social media accounts, it can be safely assumed that somewhere between 20% and 25% are regular content creators, not just lurkers or spectators. Therefore in effect, we’re looking at about 500 Million people regularly creating new data and metadata to feed the massive global social dataset. And while admittedly most of actual complex data mining is happening behind the firewalls of Apple, Google, Facebook and Amazon, there are numerous free tools available that allow you to access a good chunk of this data, since much of it is in the public domain.

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February 27, 2015

How to Measure the Performance of your Government Social Media Initiative

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This post is based on a comment I left on the following OECD blog post the other week : Measuring government impact in a social media world

One thing I like to do off the bat when working on social media performance reporting for my government clients, is to differentiate between three basic levels of reporting (inspired by some Altimeter Group research) depending on which level of the organization I am working with (using the Canadian federal government structure as an example).

These are as follows:

  1. Business Metrics (e.g. Reputation) –>For executives and senior managers (DG’s, ADM’s and DM’s)
  2. Social Media Analytics (e.g. Share of Voice/Digital Footprint) –>For business unit stakeholders (Senior Managers and Directors)
  3. Engagement Data (e.g. Re-tweets) –>For community managers (Officers and Managers)
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