From a great series of images, New Year’s Resolutions – Explosion 5000 Photo I saw this picture and instantly said YES!
How often have I said to myself (and others who would suffer to listen to me) that an important skill for navigating the online space was tolerance for ambiguity. And here this was someone’s new years resolution.
I’ve had this link in my “drafts” box for too long, so I want to drag it out and blog it because it raises an important issue. What happens when we trivialize the concepts of “friends,” “conversation” and “community” when we apply them to things that are sort of like friends, conversation and community, but don’t quite cross the threshold. In this image from a recent Forrester blog post, they have added to their original “ladder of participation” (which I find useful, but I cringe at the linearity because I don’t think it is always sequential as shown). What they added was Tweets categorized as conversation. Take a look.
Yes, you can have a conversation in Twitter, but I think most Twitter traffic is not conversation. It is a flow of snippets, of 140 character fragments which we can, if we wish, make sense of. We can construct a narrative, but we may not be constructing the intended narrative.
Conversation implies for me turn taking, listening and sensemaking. Status updates… not so much. What do you think?
There has been a great discussion on the KM4Dev mailing list the last 10 days or so about evaluation, impact and measurement. In the context of international development, this is critical. Why do something if it doesn’t make a difference. However, often we don’t do a very good job figuring out what does make a difference, let alone know why (causality.) Dave Snowden posted something that just rang the bell for me. I hastily copied it down to share here. The link to the web archive of the email discussion is at the bottom, if you want to mine for the rest of the thread. Emphasis is mine.
The linear concept of input, leading to outputs, leading to outcomes which in turn leads to impact is I think at the heart of the problem, It implies (and I can see why people would want this) a causal chain that can be replicated.
However if the system is complex (in the sense of complex adaptive) then any input is a stimulus or modulator which influences but does not determine impact. That means we need to start measuring the sensitivity of a system to different stimuli, and the way in which some stimuli produce a disproportionate effect in that they catalyze other inputs. This is newly developing area which has not hit the development sector yet, but we are working on it in related fields, loosely termed modulator mapping. It also leads us to evolutionary representations (such as fitness landscapes) and measure based on stability of landscapes. In all those cases mathematics are simplified by representation and linked micro-narratives. There is no point in measuring anything if the results do not convince both donors and recipients alike to take action
All of that moves the “impact” agenda on. I didn’t confuse outputs and outcomes, I conflated them as the model means there is no real difference in what is measured in practice.
I am now going to start paying attention to this idea of “measuring sensitivity of a system to different stimuli.” This relates closely to two projects I’m working on where I have been sensing this, but hadn’t had the words for it. Now I have a toehold. Onward!
What did I find? Tweets, autoposted as comments. The first seven were real responses. The rest were people tweeting out the url. Now, I believe I found the post via a tweet. So it was a good filter.
My question is, does this auto integration of tweets ruin the blog conversation? Yes, it shows how popular a post is, but wouldn’t it be better to have some sort of indicator of tweets and retweets rather than waste the space of a tweet which is essentially a URL?
This feels like a technology stewardship issue. Just because we CAN do something, should we? What are the anticipated outcomes? What surprises us once we implement something and when should we change it?
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