Written human discussions are often an organic growing structure and they quickly become hard to read and understand for new readers. Questions, statements, loosely directed messages or immediate responses weave a dense fabric of conversation and todays tools seem to overwhelm the user with the sheer amount of information presented (Looking forward to Google’s new tool and it’s capabilities in this regard).
Srikanth Narayan has taken the challenge to build a better tool for understanding human communication on the Internet. As part of themasters program at the UC Berkeley School of Information he began working on TLDR. TLDR is a tool that tries to help the users reading through large-scale discussions on message boards, social media sites or support forums.
TLDR is an application for navigating through large-scale online discussions. The application visualizes structures and patterns within ongoing conversations to let the user browse to content of most interest. In addition to visual overviews, it also incorporates features such as thread summarization, non-linear navigation, multi-dimensional filtering, and various other features that improve the experience of participating in large-discussions.
What are your thoughts about TLDR? Could a visual application be the cure for following intense discussions online or is a typographic version still easier to digest? Please share your thoughts in the comments.
View the project page