German EPP MEP Disconnect

Regional online media engagement  for  German and French EPP MEP’s:  The chart clearly illustrates Germany is not engaged with their European Parliament representation, or better, the MEPs are clearly not in touch with their constituents. Can someone say democratic deficit?

•64% of German EPP MEP media is coming from Germany.
•84% of commented media on German MEP’s is from France.
•Germany only accounts for only 10% of comments of  it’s MEPs.
•Germany  does not comment on  French EPP MEPs (0%).
•French EPP MEP comments are from the USA and France (both 48%) and Belgium at 2%.

Sentiment Analysis: Why is it important?

WHY IS ONLINE MEDIA IMPORTANT TO LOOK AT?

I examine this question with the help of Charts and the EU. Thank you..Click on the Charts to make them bigger.

So why is looking at on-line media important? The chart above (Lau, 2001) shows online media has expanded in the last 16 years. Online news has displaced print and broadcast to represent 46 percent of all content monitored globally. Increasingly online communications/media is becoming the main source of people’s knowledge for political affairs. In the era of the mediatization in politics and democratic theory, which assumes that an informed and attentive public is necessary for democracy to work effectively (Lau, 2001), understanding on-line communications is vital.

The Analysis of on-line media is a cross between what’s called data science[1] and “Culturomics” (Leetaru, September 2011). The goal is to find cultural trends through computerized analysis of online media to develop insights in the functioning of human society, thoughts and actions (Michel, et al., 2011). This process has been very accurate in forecasting instances such as box office sales (Mishne and Glance, 2006) to the stock market (Bollen, et al., 2011). To illustrate the power of data science and sentiment analysis in a political context scientist – using a super computer, applied tone and geographic analysis to a 30 year worldwide news archive. The scientist were able to forecast the revolutions in Tunisia, Egypt, and Libya, the removal of Egyptian President Mubarak, the stability of Saudi Arabia, and estimated Osama Bin Laden’s hiding place within a 200–kilometer radius, in Northern Pakistan.

The point of all of this?

Media is a very accurate source for insights into the human condition, as well as our thought process. Now with the rapid expansion of online media, there is a wealth of untapped knowledge and syntax to further analyse.

EXAMPLE:
The chart above shows the volume of searches based on the terms “European Parliament”, “European Commission” and “European Union”. They were also translated into French, German and Italian for further accuracy. The data was gathered with Google Insights[1] for Search. The chart does not track positive or negative sentiment, just the volume of the terms searched through Google[2]. The data clearly shows the interest in the EU has gone down since 2004. For both the European Parliament and Commission the top locations for the searches of the term were Ixelles, Luxembourg and Brussels – all home to the institutions themselves. This illustrates the “Brussels Bubble” that so many talk about
The Google insights data mirrors voting rates. In other words, voting rates (above) and participation have gone down.
The variables:
  • Lack of a unified media, hesitation on real-time engagement, failure to leverage modern instruments and an incentive to do so.
  • MEP and political parties do not have to raise money for re-election, and there is little incentive to actively engage constituents, on an individual MEP level as well since the parties puts forth the Politicians.
This frame work has lead to autonomy and citizens that look more toward national politics for answers. With the current financial “Euro” crisis it would be easy to assume that the interest in the EU – whether good or bad, would go up. This has not happened.

[1] With Google Insights for Search, you can compare search volume patterns across specific regions, categories, time frames and properties. See examples of how you can use Google Insights for Search.

[2] Google’s search market share in Europe is around 90%. In the U.S. it’s around 65%.


[1] The profession of interpreting and creating value from Data.

Heuristics, Algorithms and Communications: Quick Thoughts

The use of heuristic and taxonomy algorithms for identifying cognitive bias in  communications is a game changer.  According to SAS,  companies that invest in analytics out perform the S&P500 by 64%. I imagine the margin for communication/marketing firms is greater. The market is not anywhere close to mature, and is lopsided to a few in the know. The rest toil in mediocracy via old connections/business that will surely run ground soon.
Today’s great business’s – for the most part, are data driven. Communications is perceived  to be educated guessing.. The use of programming for bias is important because bias cannot be out run. Think of this much like “Inception” and Moneyball combined.

Thanks to social networks we have the largest focus group in history. Analysts can see what people are using to explain how they feel and think – during  specific situations or events. This can also tell  how people interact within context of syntax or an instances. Very powerful and cheap information in contrast to polling or focus groups.

There are patterns/norms with how people engage on each medium. In addition to what type of syntax they use to convey a certain type of  thought. This is all programmed in the mind for the most part. Linguist like Lakoff and Chomsky suggest that brains are hard wired to favor certain patterns that convey meaning. This plays out accurately on-line consistently.

Just a random Sunday thought…Now looking forward to watching the NFL playoffs.

Ciao

Using Klout and Digital Influence

“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.

Communications as Productivity

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.

Framing

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.

IS SOCIAL MEDIA CHANGING EVERYTHING?

Well yes and no. [Good] PR has always been about understanding human perception/biases not “emotional IQ” or “social media savvy” [bad PR]. The medium in this case – “Social” Media, is just another way to leverage and understand innate human traits/bias. Although there is some evidence that illustrate some biases are dynamic/changeable, largely people are not interacting much different now from the digital realm than real life. i.e. human behavior and cultural patterns/perceptions and need for expression creates the digital or social media instance – not the other way around. In other words Bernays would be just as effective now as he was then. The medium to the method is mostly arbitrary to said human behavior/bias needed to be leveraged.

Critical Mass

This trend is looking at analytics of political instances of media saturation. I call it Critical Mass. Despite consistent media we only see exponential gains on key events (Voting Day,Debates). This means we need to have the media infrastructure/network in place before we need it.
Possible reasons for this is:
  • Humans outsourcing knowledge to calendars, social sites and other mediums. We only know a vague amount of information and rely on our knowledge to access it as a substitute for remembering.
  • In a 24/7 multimedia cycle humans compartmentalizing knowledge to avoid over load.