Presented during the 2012 ACM Conference on Computer Supported Cooperative Work (CSCW 2012), the following original research on “the value of microblog content” is shared for your review and consideration.
Prepared by Paul Andre (Carnegie Mellon University), Michael Bernstein (MIT) and Kurt Luther (Georgia Institute of Technology), “Who Gives a Tweet: Evaluating Microblog Content Value” offers quantifiable insight into the perceived value of Twitter “tweets” through the lens of content, context and evolving social norms.
Primary questions considered as part of this milestone study of over 43,000 volunteer ratings on Twitter include:
“Conventional wisdom exists around these questions, but to our knowledge this is the first work to rigorously examine whether the commonly held truths are accurate. Further, by collecting many ratings, we are able to quantify effect sizes. A better understanding of content value will allow us to improve the overall experience of microblogging.” (Study Authors)
Predictors of “tweet” value in this study were based on “worth reading””neutral” or “not worth reading” ratings of individual tweets from eight specific categories that included.
Additionally, the reasons for determining whether a tweet was “liked” or “disliked” ranged from:
Reasons for Liking
Reasons for Disliking
PDF Version of Study: Click here.
Source: “Who Gives a Tweet: Evaluating Microblog Content Value” – Paul Andre (Carnegie Mellon University), Michael Bernstein (MIT) and Kurt Luther (Georgia Institute of Technology) – as prepared for CSCW’12, February 11–15, 2012, Seattle, Washington.
This entry was posted on Tuesday, February 21st, 2012 at 1:49 pm. It is filed under chronology, discover, Insight and tagged with research, social media. You can follow any responses to this entry through the RSS 2.0 feed.
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Taken from a combination of public market sizing estimations as shared in leading electronic discovery reports, publications and posts over time, the following eDiscovery Market Size Mashup shares general worldwide market sizing considerations for software and services in the electronic discovery market for the years between 2015 and 2020.
When Maura Grossman speaks, people listen. In 2011, she was already known as a leading e-discovery attorney and litigator. But her influence exploded when she released research with co-author Gordon Cormack, a computer science professor at the University of Waterloo in Ontario, that concluded software using predictive-coding technology can do as good a job of sifting through documents as human reviewers.
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