I promised this post to my students. This is how it works for me:
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My strategy: get the big picture of the book by understanding its structure (outline).
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For example, I think this is that ONE sentence from Content Nation, found in Ch. 1, p. 2:
“In the process of becoming publishers who can reach and interact with a potentially global audience whenever they need to or want to, something is changing in the way that everyday people look at themselves and their world. [...] We are beginning to look upon institutions that we used to rely on for providing us with cohesion and value in our lives as less valuable in the face of publishing technologies that allow us to organize ourselves and our lives more to our suiting.“
This is, I believe, the thesis statement of the book. It tells me what to look for from now on:
Once I identified the 3 main ingredients of the book, I go looking for them in the other chapters. I will read carefully (if I have time) the parts that inform the 3 main ingredients above (topic, main argument, supporting evidence). But, to get an idea of the entire book, I read:
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Try it out. Share tips that have worked for you. And most importantly ask yourself:
Do I write such that people can quickly grasp the meaning of my text?
[update/one more thought:] – ultimately, no matter what you do, make sure you get a few specific ideas out of your reading. If, after spending time with a reading, all you have in your head is an amorphous blur and no specific ideas, then you know you’re doing something wrong.
I’ve been playing around with Brizzly this morning, and here are some initial thoughts. My default Twitter app is Tweetdeck, so I’m comparing to that.
But here’s the major change that Brizzly introduces, and for me, a concern:

My reply with a comment about the cat shows up (for me, in Brizzly) – right under the photo. So the context of my comment is very clear to me. However, for the recipient, if she uses another Twitter app, my reply will show as a usual @ tweet in her stream.
The problem is that for me, the context is very clear, but for her, it may be confusing. If I reply “awww…. !” she has to put 2+2 together to figure what my tweet is about. I usually try to include context in my tweets – I’d usually reply “awww… cute cat!” – so she knows that the tweet is about. I try to avoid using “this” and “that” in tweets and instead specify what I’m referring to.
I posted a photo, and people’s comments didn’t show under the photo, like in Twitpic, but just as replies in my twitter stream – so no context there for me on the receiving side.
It’s confusing to have context for some people, in some instances, but not for others. If some people use Brizzly and others don’t, I can see a lot of misscommunication happening on Twitter.
Although Brizzly might enhance MY Twitter experience, the confusion about context might reduce the overall community experience.
Watch the Brizzly demo:
This Webecology research report has been making the rounds on Twitter. I haven’t had time to read it until now, here are my reading notes:
The Webecology team uses large scale data mining to identify patterns indicative of online culture and community. Wish I’d do this, too – and will, as soon as I find a research partner to help with the data mining part.
For this project, the authors set out to create a more accurate measure of influence on Twitter that goes beyond either:
The authors defined influence on Twitter as:
influence on Twitter = the potential of an action of a user to initiate a further action by another user
Specifically, influence means the potential of a tweet to generate replies, mentions (conversational behaviors), RTs, and attributions (content-pushing behaviors).
This is an atheoretical, operational definition of influence (the study’s Achille’s heel).
As far as I understand, all 4 actions were weighed equally. So, a RT factors the same as an @reply in determining influence.
They selected 12 Twitter accounts to study. The selection was based on this criterion: the 12 accounts were ”widely perceived to be among the more influential users on Twitter.” It is not clear who did the perceiving, and what definition or measure of influence they used in the process of perception. IMO, the arbitrary selection of the sample is another major weakness – but in this case, I can live with it, because the purpose is not to derive conclusions about Twitter culture as much as it is to demonstrate how the methodology can be used.
Then, the 12 users were grouped into 3 categories. Here is a table with the accounts they analyzed, and their number of tweets over 10 days, as well as the number of followers and friends at the end of the 10 days:
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| Celebrities | Username | Tweets | Followers | Followees |
| Ashton Kutcher | aplusk | 3,205 | 3,407,385 | 209 |
| Shaquille O’Neil | THE_REAL_SHAQ | 2,072 | 2,092,541 | 562 |
| Stanley Kirk Burrell | MCHammer | 6,016 | 1,331,797 | 31,202 |
| Sockington | sockington | 5,711 | 1,089,984 | 380 |
| Justine Ezarik | ijustine | 7,718 | 605,441 | 3,039 |
| News Outlets | Username | Tweets | Followers | Followees |
| CNN Breaking News | cnnbrk | 1,096 | 2,712,530 | 18 |
| BarackObama.com | BarackObama | 330 | 2,018,016 | 761,851 |
| Mashable.com | mashable | 17,914 | 1,363,510 | 1,925 |
| CNN | cnn | 11,607 | 193,625 | 50 |
| Social Media Analysts | Username | Tweets | Followers | Followees |
| Gary Vaynerchuk | garyvee | 7,532 | 862,790 | 9,683 |
| Chris Brogan | chrisbrogan | 48,341 | 94,715 | 88,431 |
| Robert Scoble | Scobleizer | 23,112 | 94,295 | 2,423 |
The data that they mined was as collected over 10 days, in August 2009. The data included:
The authors produced 2 types of influence reports, based on the type of action that was triggered:
Please note that a mention may or may not be a response to a tweet. If they were not responses to a tweet, they fall outside the authors’ definition of Twitter influence, and they should have been excluded from the analysis.
Here we go, on to the findings:
This graph shows you the amount of conversational activity (@replies and mentions) each user got in response to one (average) tweet.
This graph shows you how much content action (retweets and attributions) each user got for each (average) tweet:
So here we see that, per tweet, @sockington did get more retweets than @chrisbrogan.
The authors claim that these graphs of influence/tweet are the most accurate measure of Twitter influence so far. Therefore:
@sockington IS more influential on Twitter than @chrisbrogan,
because the fake cat gets more retweets. (sorry, @sockington, I do love you!!!)
I know exactly what you’re thinking, it starts with B and ends with T.
That’s because here we have a problem of construct validity. The measures do not actually measure influence. I wish the authors had read some research in communication & persuasion about the concept of influence, then worked their way from a conceptual to an operational definition.
Obviously, @sockington gets more retweets because he’s cuter & funnier than @chrisbrogan (sorry, Chris!). We don’t know why people reply or retweet. This study ignores a very important aspect of human relations: meaning. There is meaning in tweets, and meaning in why people retweet. But that is not captured in this study.
That being said, the report shows what can be done with data mining – it’s awesome! With a bit of help from people who know how to study meaning (hint, hint!), this type of research will be extremely valuable.
If anything, let this be an argument for computers & communication people working together, across disciplines.
In a future post, I will review conceptual and operational definitions of influence.
Ruud Hein of Search Engine People questioned me
Read my interview, on various PR topics, here.
I wrote about social media culture & social norms, how not to be “creepy,” how to plan strategically for public relations, misunderstandings about what PR is, could, and should be, and tempered the idea of conversational PR.
I’m not getting into this. But what I picked up was the use of being “too academic” as an explanation – as if being “too academic” were a bad thing. It’s not, not always [1].
Here’s my list [2] of the main characteristics of being “academic:”
Academics research thoroughly what has been written before on their topic and related concepts, in one or more disciplines. They don’t reinvent the wheel. Lack of familiarity with previous literature reduces one’s credibility and increases the risk of reinventing the wheel. Keyword: library (yes, library!)
I remember of a dear and very much appreciated analyst who was working on a report on communities and was crowd-sourcing the definition of “community.” There are full library shelves on the concept. Read ‘em. Cite ‘em. Think of the literature review as a different from of crowd-sourcing
Academics follow this formula very rigorously. For every single claim (every single sentence, sometimes word in a publication), you need evidence.
Claim: Tomatoes are red.
Evidence: ??? Can be empirical (inductive) – based on observations, surveys, etc. or can be a logical argument. In which case, avoid fallacies.
My dear mentor [3] would question every single statement in my papers and in the process taught me that you cannot make a claim without solid supporting evidence. And when you only have this much evidence, you make a smaller, more specific, claim.
So, if: “The public has been ignored in public relations” = claim, what is the evidence for that? What kind of evidence would you provide, and are you sure that the evidence is sufficient and valid?
… and that’s what makes it inaccessible. Oh, why do we need the word “stakeholder” when we have “public”? Well, because we define concepts and we need words to refer to the specific concepts. We need to avoid confusion with the general usage of the word. Inaccessibility is the downside.
The upside is that, good academic writing is not vague – it has (almost – see[1]) surgical precision. You need that surgical precision to stand up to scrutiny, to make sure you don’t over-generalize, and that there’s good fit between the evidence and the claim.
I strive to produce both academic AND accessible writing, and maybe so should you. Go ahead. Be academic.
[1] Academic thinking will teach you to avoid overstatements and over-generalizations; to be specific if possible, inclusive or ambivalent otherwise.
[2] I can hear my dear mentor’s [3] voice: Why do you put only these things on the list? How do you know you’ve exhausted all possibilities? What are the criteria for inclusion/exclusion/sorting of the list? Beware the laundry list fallacy.
[3] Carl Botan
This is why I recommend graduate school. I don’t care if it will make you more money or get you a better job. It will sharpen your mind, enhance your critical thinking and problem-solving skills, and teach you humility – at least you know what you don’t know, and you learn to question everything, your work and yourself included (downside: bye-bye, self-esteem!).