Image Attributes and Diffusion via Twitter: The Case of #guncontrol
Proceedings of the 48th Annual Hawaii International Conference on Systems Science (HICSS), Kauai, HI, January 5-8, 2015.
10 Pages Posted: 10 Sep 2020
Date Written: December 10, 2014
Abstract
We report on a study exploring how Twitter user attributes and the characteristics of the images they share online influence the diffusion of those images. Two-hundred and ninety unique images were collected from Twitter in October 2013 associated with the guncontrol hashtag [#guncontrol]. A coding protocol was developed and images classified based on frame (attribute, goal, or risk), appeal (e.g. fear, humor), and valence (positive or negative). Results indicate that shared images with attribute frames, fear and humor appeals, and positive valence are retweeted more often. Also retweeted more frequently are messages from users with larger networks and whose tweets contain hashtags. Results also show a significant negative relationship between the time since the last major shooting event in the United States and the likelihood that messages with images are retweeted. These results are discussed in the context of evolving mass media systems and online social networks.
Keywords: images, diffusion, social networks, Twitter
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