Looking at strategy & markets through data science and machine intelligence.
The Chart shows the correlation of Media comments and Facebook posts, in reaction to Twitter output , in regards to GOP primary Candidates. It’s no surprise there is a downward trend for Facebook. The two channels tend to be segregated politically. Twitter being more conservative and Facebook being more liberal.
“The race is for a system digital currency wield the most social influence. One particular player has emerged, Klout, determined to establish their platform as the authority of digital influence. Klout’s attempt to convert digital influence into business value underscores a much bigger movement which we’ll continue to see play out in the next year. To some degree everyone now has some digital influence (not just celebrities, academics, policy makers or those who sway public opinion). But for the next year, the cult of influence becomes less about consumer plays like Klout and more about the tools and techniques professionals use to “score” digital influence and actually harness, scale and measure the results of it.”
– Just use Klout for Accountability. If the communications Unit’s goal is to get online, Klout can be a good way to hold people accountable. Nothing more at this point but there seems to be potential.
By looking at Communications in terms of production and variables, you will save millions. By not understanding variables in communications, you will loose millions and time. Gone where communication firms can pass Bullshit. Now it’s far from an art form with metrics. Clients should expect decision making based on sound research, in addition to web analytics and online monitoring data.
The goal: Create the most productive syntax, which could be words, photos,video or interactive digital content. Not the most view and clicks
Resonance:
Output time/date to channel dissemination, and how much time that takes. It shows language adoption, which is how you win. There’s a saying politics, “Win the language battle, win the war”. Resonance is a good KPI for knowing if the framing has retention, thus productivity.
Its can also be useful to reverse engineer a past event’s content and framing with machine learning to compare and contrast. Again don’t focus too much on “click and looks”. You might see exponential gain which perhaps are linked to offline events. That way you can also map correlation. I tend to see this pattern a lot working in politics. This reiterates the massive amount of information available on-line by listening.
More Tricks:
Use best practices in cognitive ICT, psychology,linguistics and behavior economics. A real expert will know captology, sentiment analysis and gamification, and not neglect fundamental and technical analysis.
When you understand the basic variables, you see that each enhances or destroys productivity.
If the person you hired doesn’t understand what I’m talking about, the strategy will loose productivity. Ask yourself, why we are paying 200-300 plus per hour? Educated guessing is over. The data doesn’t lie.
In politics controlling language is vital. George Lakeoff (Linguist -Cal Berkley) confirms brain will generate a physical cognitive bias if you win the language war. Because of the frame being repeated, the attitude towards the subject changes.
For example the party who introduced the term wins solely on sheer mass. This can be determined by the total count of the terms.
For example: ”Death Tax” or “Estate Tax”. We also know the terms that we introduced to the discussion. Hence the campaign works when the Language has been adopted. It might not seem like much but these are long term goals and or policy matters to keep or change a status quo.
The chart illustrates that overall sentiment of Group Leadership in the EP.
Machine Lens 