Archives for April 2010

Is the ‘Good Ole Boy’ so dumb, or crazy like a fox?

If you asked a group to describe the prototypical “Good Ol’ Boy,” I would imagine the adjectives returned would not be that flattering.

From The Free Dictionary:

A man having qualities held to be characteristic of certain Southern white males, such as a relaxed or informal manner, strong loyalty to family and friends, and often an anti-intellectual bias and intolerant point of view.

From Wikipedia:

Good ol’ boy is a slang term used in the United States and Canada, either to self-identify as or to refer to a male, usually white and of Northern/Western-European descent, who lives in a rural area and/or subscribes to a traditionally “rural” lifestyle. The term is generally thought to originate in the rural areas of the southern and southwestern U.S. While other terms such as redneck, hick, yokel, “Bubba“, and “white trash” are also applied, though usually pejoratively and are often interchanged with “good ol’ boy,” the “good ol’ boy” is more of an idealized image of rural Americans.

Politically, good ol’ boy refers to representatives that engage in cronyism.

Cronyism.

In the business world, references to a “Good Ol’ Boy Network” are at best a way of hinting at exclusion through ignorance, and at worst an accusation of intentional discrimination.

So how do you identify the Good Ol’ Boy?

  • Manner of dress?
  • Speech?
  • Homespun stories?
  • Tone?

I was having lunch with a coworker the other day, and she was talking about her supervisor. She called him a real Good Ol’ Boy, but he was surprisingly effective as a communicator. Everything he communicated was through anecdotes and story, and even years later she remembered just about every detail of what he said.

The Story Factor

We already have more facts than we can process. Story persuades and motivates.

I’ve always been a huge fan of Annette Simmons’ book The Story Factor, where she outlines the kinds of stories that resonate with people, and the way you can use them to communicate more effectively.

Now look at the guy in the suit above. His clothes are communicating a belief in the prevailing corporate culture.

Listen to the drawl. It’s measured, yet accessible.

Consider the anecdotes and tales he weaves. They’re about past experiences that happen to pertain to the issue or challenge at hand.

And listen to the tone – a good story is meant to entertain and engage, while also informing.

Too many people are willing to look at the above attributes and write off the rube for being too slow and too folksy to be of any value.

And when you get a bunch of those folksy, homespun rubes working in upper management, then it’s clear they all got there by conspiring to trample on the careers of their faster-talking, smoother and hipper competitors! Thus “Good Ol’ Boy” enters the collective consciousness as a pejorative. Psychologically, it’s easier to write them off as evil and manipulative rather than understand they might just be on to something effective.

Maybe there is a thing or two to learn from them. Particularly when they get results.

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The Social Media News Release Isn’t Dead – The Audience Is

I promised myself I wouldn’t get involved in the “Press Release Must DIE” meme, but I have failed.

For the last several years, numerous people have tried to ring the bell that tolls for Ivy Lee’s centenarian brainchild. Some want to pull the plug on a comatose patient, some want to pump new media adrenaline into the corpus communicado. Some still want to debate and argue whether the thing is breathing, and how much is enough to call it alive.

Others wonder if the thing ever really worked as well as everyone thought.

Mark Evans wrote a piece at Ragan.com which calls into question the viability of Ivy Lee’s “grandchild,” the Social Media News Release. An SMNR can take many forms, but at its heart is the willingness to link away to additional resources which provide more multimedia functionality, and at the same time tip the journalist to other discussions and articles about the same subject. “Has the Social Media Press Release Withered on the Vine” might disappear behind the RaganSelect paywall soon, so I excerpt a couple of pieces here:

For whatever reason, the social media press release has little traction. Sure, they are still around but it’s not like companies are demanding they be created. Most of my clients don’t ask for them, and I don’t suggest them, because the effort required to create one doesn’t seem worth it. Most reporters and bloggers don’t bother reading press releases – regardless of whether they’re a social media or “old” version.

The Wrong Debate

Within the comments, those with vested interest in the adoption and expansion of the Social Media News Release are debating the real use statistics and the viability, but I believe they are all missing a key point. There’s nothing wrong with the format – it’s the target that’s changed.

In a five-year period, the downward slope of media employment has become a dangerous grade. Those jobs lost at newspapers, magazines and television newsrooms are simply not coming back. Companies that track their hits are noticing it too, because the media hits are declining. Fewer reporters means fewer stories covered, period.

Nobody anticipated that sharp a decline, and it renders that tactic anemic at best. Why crank out story parts, when you can go ahead and assemble them yourself?

Now, Evans does make a good point later, but it’s not one that is original:

I would argue that relationships and pitches are far more important than social media press releases, and, as a result, this is what PR practitioners and companies should focus on. When you’re reaching out to a reporter or blogger, it’s the two or three introductory paragraphs in an e-mail that play a crucial role in whether they will be intrigued or hit the delete button.

However, he’s still stuck on the mode of getting attention.

Make Your Own News

In the future, you won’t be getting a reporter’s attention through sending an email. Ideally, you won’t have to go that route, because you will have established a relationship and he will recognize your number when you call.

Failing that, the blind email isn’t going to cut it either. If you want a reporter’s attention, create content compelling enough to interest and entertain the journalist. Hook them with the stories you tell, in whatever multi-media format you need to get the point across. But don’t get stuck making parts, when there’s greater payoff in creating your own news.

Video here:

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Social Media is like Rugby

{{myquote|Social Media is like a rugby match. Lots of touchy-feely in the scrum, very little movement, and no one is quite sure of the rules.}}

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We really NEED that much-needed rain

…and other perceptive comments from the Fifth Estate.

(More from the mcarp archives… the prophetic genius and brilliance are his;
the ones/zeros, pixels, pictures and subheads and pull-quotes are mine.)

This is the next to last of the mcarp essays, written over a decade ago by former broadcast journalist Michael Carpenter. I got his permission to share these, because they are not easy to find, and like most brutally honest musings, they deserve to be read. What he wrote about then is still true today – especially the rather bone-headed things one could hear regularly in a newsroom.

Today’s anchor/personality is placed even higher on the pedestal, because in some cases all you have to differentiate your news product from the competition is the personality involved. Brain is optional.

“Not all the stupid ideas around here are mine.”

— Assignment Editor

“Just because it’s not interesting to you, and it’s not interesting to anybody else, doesn’t mean it’s not interesting.”

— Executive Producer

“Little did he know that murder… was on the menu.”

— Reporter’s script, describing moments leading up to the fatal shooting of a police officer in a fast food restaurant.

“You know, we really need that much-needed rain.”

— Anchor, responding to meteorologist’s forecast of ‘much-needed rain.’

“Police say they’re having trouble cutting these protesters’ chains because they’re made out of kryptonite.”

— Reporter on the scene of an anti-abortion protest, where demonstrators had chained themselves to a hand railing with the popular brand of bicycle lock. Lex Luthor was not implicated in the subsequent investigation.

“Well, governor… what did you think of the turnout?”

— Question shouted from across the street at Oklahoma governor David Walters, as he emerged from a memorial service for his teenage son. Sean Walters was the victim of suicide, which the governor had blamed on intense and unfair media scrutiny.

“Listen carefully: I’m telling you we could all be called to testify about this conversation in court.”

— News director, in response to a reporter’s question:
“Are you telling me you want me to fabricate a source for this rumor?”

“I had a psychic dream about you last night, and it was very negative. How do you explain that?”

— The same news director, to a job applicant who was not hired.

“Good evening. I’m Rick Whitmire. Wait… no, I’m not.”

— Me. But this wasn’t my fault. The other guy’s name was typed in the prompter. How was I supposed to know my name if it wasn’t in the prompter?

“Well, it’s just as accurate as it was when we were going to run it last night.”

— Producer, arguing in favor of broadcasting a report even after it was discovered to be erroneous.

“Fear is a powerful motivating tool.”

— Station manager, describing station’s marketing philosophy.

(originally published by Michael Carpenter, republished with permission.)

Addendum:

Granted, mcarp worked in a different time. Such a collection of statements could only travel as far as an email, and who wanted to spill those beans?

Publishing quotes like that online was scandalous for its day, and as you can see, the only guilty party Carpenter fingered was himself.

But how shocking would that be in an age where an anchor at a major cable network can say things like this on the air, and still be taken seriously by anyone?

Rick Sanchez asks what “nine meters” means in English

Rick Sanchez thinks Iceland is too cold to have volcanoes

Rick Sanchez thinks Hawaii is in the Southern Hemisphere

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The Dangers of Automated Analysis

As online conversations increase about a company or brand, so does the need for an intelligent way to dissect the data and look at meaningful trends. Just be wary that not all divisions of data are necessarily useful.

This morning, while monitoring the online mentions of my company from the weekend, I saw the following messages from a Facebook user. The name is redacted, and I am changing the text considerably, so don’t bother searching.

“Heard the boom, and now a line is down in the neighborhood. Have no idea when power is going to be back up. Help me, Alabama Power!” – Sent at noon, Facebook for Blackberry

“Way to go, geniuses. Crew is here to fix, but they don’t have the right parts and have to come back.” – Sent at 2pm, Facebook for Blackberry

“Power is back, and all is right with the world.” – Sent at 4pm

Fortunately, our conversational traffic is not that large. The business model doesn’t lend itself to massive amounts of in-your-face marketing and messaging – and we’re not in the heavy competitive arena that many retail outlets and national brands must navigate. With a smaller amount of traffic, it’s still at the stage where we can look at the individual messages for context.

The monitoring services that will win out will be the ones that can accurately gauge “sentiment” in meaningful ways. If you have a large spike in traffic or mentions, were they positive or negative? And if so, what can you learn about what those messages have in common?

My example above is overly simplistic, but what if we started pulling in data which told us that people who mentioned us using mobile applications (like Facebook for Blackberry) were 80% more likely to give us negative sentiment? Statistically, it would be a valid comparison to make. But how useful is that?

Primer on Causation

There is an upside in having many people in your organization with access to monitoring tools. The more in-touch they are with buzz and conversation, the more likely they will be to think in terms of your customers. But there’s also a danger, if they don’t know how to properly parse that information.

Without going into a dissertation on regression analysis, here are the outcomes you might get from looking at your raw data:

  • Causation – the implication that one event is a necessary condition for the other
  • Correlation – the implication that two events occur together with regularity, and might share a common cause
  • Coincidence – the observation that two events have occurred together, but there is no proof of correlation or causation.

Not all data are good data

Looking at my simple data points above – yes, we have messages that are negative coming from a mobile device. The non-mobile message is positive. Assuming causation, however, would get you in big trouble. On a large scale, this could lead to an enterprise that alters its allocation for mobile strategy, either more resources than required or not enough. (Maybe even abandoning it entirely, because those people are just too mean!)

If one considers correlation, we might find value in digging a little further, to see what else there might be in common. In this case, we might suspect there is a connection somehow, but it would take more digging.

Writing it off as coincidence might be just as dangerous as committing to causation, because then you’ve entered a mindset where those variables will be dismissed more readily in the future. You might have a different set of circumstances later, and the dots you couldn’t connect today might be the lynchpin of a pattern tomorrow.

The Truth

In my case above, we’d all arrive (I hope) at the more sensible conclusion that the messages sent from the mobile device would be more inclined to be negative, because the user is frustrated by a power outage. Once the user can enjoy a full keyboard and computer, the frustration is gone.

The “Blackberry” connection has more to do with the circumstance (a correlation) than it does with a causation.

Useless data lead to useless charts

The above example is so clear and plain to us now, because we had a common tie for those data points: the same user. But what if we saw a similar phenomenon, where the tweets and updates coming from mobile devices were so sharply negative? And there was an occasional message that was positive, from a non-mobile client? Would that be as easy to parse? It’s not just weather-related events, either. Occasionally you’ll find messages from people who are complaining about a line being too long when they want to pay a bill. Those are coming from mobile devices as well.

Instant analytics are a wonderful thing. But if you let them do your job of critical thinking, they will lead you to some very wrong answers. Context is King.

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Grounded Advice

{{myquote|When you hitch your reputation to movements instead of solid ideas, don’t be shocked when you find yourself adrift.}}

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Journalists and Bloggers Differ How?

What is the difference between a Journalist and a Blogger?

For many, it is an issue of credibility. There’s certainly no magic dust that makes the keyboard of one shine with dignity and truth. And there’s very little difference between pixels and pulp. The truth on your screen is still truer than a lie in paper. But ask someone to define it for you objectively, and often they can’t. [Read more…]

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