This e-book is a free download from Simply Measured, part of their content strategy to promote their measurement tools. Nonetheless, it does contain some useful information about the metrics required to measure and fully understand the photo and video-sharing network - and how it use that information to guide your strategy.
Gives you the run down on engagement metrics, reach, and optimization, followed by some strategy advice.
Objectives. Little is known about the use of social media as a tool for health communication. We used a mixed-methods design to examine communication about childhood obesity on Twitter.
Methods. NodeXL was used to collect tweets sent in June 2013 containing the hashtag #childhoodobesity. Tweets were coded for content; tweeters were classified by sector and health focus. Data were also collected on the network of follower connections among the tweeters. We used descriptive statistics and exponential random graph modeling to examine tweet content, characteristics of tweeters, and the composition and structure of the network of connections facilitating communication among tweeters.
Results. We collected 1110 tweets originating from 576 unique Twitter users. More individuals (65.6%) than organizations (32.9%) tweeted. More tweets focused on individual behavior than environment or policy. Few government and educational tweeters were in the network, but they were more likely than private individuals to be followed by others.
Conclusions. There is an opportunity to better disseminate evidence-based information to a broad audience through Twitter by increasing the presence of credible sources in the #childhoodobesity conversation and focusing the content of tweets on scientific evidence.
So the lesson is simple: Data visualization needs to be shaped by the intended users, perhaps more so than the data. Knowing the key user groups who will be working with your creations is essential to making them successful. Trying to visualize without user profiles is like trying to ice skate with blinders on – success will be purely accidental. So take the time to identify and understand all of the key audiences for a data graphic. Treat them with respect and the result will seem like magic.A director of data visualization offers her strategies for shaping and presenting research information.
Beth Kanter's insight:
So the lesson is simple: Data visualization needs to be shaped by the intended users, perhaps more so than the data. Knowing the key user groups who will be working with your creations is essential to making them successful. Trying to visualize without user profiles is like trying to ice skate with blinders on – success will be purely accidental. So take the time to identify and understand all of the key audiences for a data graphic. Treat them with respect and the result will seem like magic.
is a research project designed to help identify and understand the laws regulate the collection, use, and storage of data. The conversation around relationship between people, institutions, and data...
Beth Kanter's insight:
is a research project designed to help identify and understand the laws regulate the collection, use, and storage of data. The conversation around relationship between people, institutions, and data is confounded by how broad and complex it is. But as institutions increasingly base their decisions on data, whether big or small, the rules around its collection and treatment become more vital for us all to understand.
The Capture the Ocean Project will convene the world’s leading legal, privacy, and data policy experts to create a framework for identifying and comparing the laws that shape the information economy. We will publish these laws in easy-to-understand visualizations and maps, helping people understand the issues, services, and rules that are shaping the world around them.
This tool will help governments looking to trends in global policy, entrepreneurs launching web-based services, international development non-profits introducing technology into programs, journalists reporting on new technologies and privacy, and anyone with an interest in investing in the information economy
Many of us have a set of Key Performance Indicators (KPIs) to measure how we’re doing at our jobs. Number of calls made, meetings booked, contracts signed, tweets, retweets, replies, page views,
Beth Kanter's insight:
We talk and think about questions so much, sometimes I feel like we have entire discussions where we only ask questions. Good questions don’t just beget good answers but also good questions in turn. Questions should make you think. Questions can guide how you decide on the course of your company or product. Questions can help guide better performance.
You’ve setup your brand’s Twitter account, launched your business page on Facebook and fashioned a company profile on LinkedIn. You’re uploading content, sharing links to your products and services and engaging with fans.
Now, if only you could figure out your return on investment
Data-informed decision making, and the culture change inherent therein, doesn’t happen in a vacuum. Asking what do the data say before acting is a disruptive action, displacing prior norms. There will be employees like the low-highs who welcome this kind of change, and those like the high-lows who subvert it. Understanding the psychology underlying these behaviors is the necessary first step toward pushing past intuition and silencing the data skeptics.