@inproceedings{84d9b9b8138e4711af84f5443bbc672c,
title = "Image attributes and diffusion via twitter: The Case of \#guncontrol",
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 gun control hash tag [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 hash tags. 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 = "Diffusion, Social Media, Social Networks",
author = "Stefanone, \{Michael A.\} and Saxton, \{Gregory D.\} and Egnoto, \{Michael J.\} and Wayne Wei and Yun Fu",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 48th Annual Hawaii International Conference on System Sciences, HICSS 2015 ; Conference date: 05-01-2015 Through 08-01-2015",
year = "2015",
month = mar,
day = "26",
doi = "10.1109/HICSS.2015.216",
language = "English",
series = "Proceedings of the Annual Hawaii International Conference on System Sciences",
publisher = "IEEE Computer Society",
pages = "1788--1797",
editor = "Bui, \{Tung X.\} and Sprague, \{Ralph H.\}",
booktitle = "Proceedings of the 48th Annual Hawaii International Conference on System Sciences, HICSS 2015",
address = "United States",
}