News Patterns: how press interacts with social networks
Date issued
2015
Journal Title
Journal ISSN
Volume Title
Publisher
Václav Skala - UNION Agency
Abstract
Social media has played a big part in the adaptation process for newspapers and magazines, but innovating while
going through a recession has led to a hasty evolution and automated processes for very different media. While
existing socialmedia studies and state of the art visual solutions are available for analyzing social media content and
users’ behaviors, no other method is optimized for finding patterns from a popularity standpoint in the specialized
realm of news channels. In this paper, we propose the usage of a combination of different visualization techniques
that co-relate the profile’s and its reading community activities with the resulting popularity. For the period of three
months, we gathered Twitter posts, the number of followers and trending topics from worldwide press profiles.
We used this dataset as the seed for our bar charts, tag clouds and bubble charts to allow for multiple source
comparison, so that not only the user is able to understand their own community but also the success and pitfalls
faced by the competition in the same medium. We validate our analysis by interviewing a group of journalists from
different established newspapers. Through interacting with our system, it was possible to reveal hidden patterns
in the massive dataset of messages and comments worldwide enabling the user to have unique insight into their
community’s behaviors and preferences.
Description
Subject(s)
vizualizace informací, sociální média, časové vzorce, difuzní vzory
Citation
WSCG '2015: short communications proceedings: The 23rd International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2015 in co-operation with EUROGRAPHICS: University of West Bohemia, Plzen, Czech Republic8-12 June 2015, p. 133-140.