TY - GEN
T1 - Categorization and Comparison of Influential Twitter Users and Sources Referenced in Tweets for Two Health-Related Topics
AU - Addawood, Aseel
AU - Balakumar, Priyanka
AU - Diesner, Jana
N1 - Publisher Copyright:
© 2019, Springer Nature Switzerland AG.
PY - 2019
Y1 - 2019
N2 - The internet’s evolution has had a profound influence on how people acquire medical information. The innovation of web 2.0 has been regarded as the primary motivating factor for people who want to access health-related education. In this work, we identify the URL categories that Twitter users incorporate into their messages when engaging in two selected health-related topics (MMR vaccines and healthy diets). Moreover, we identify the categories of influential message authors who engage in these two topics. Finally, we explore the relationship between different user categories and their patterns of URL sharing. Our results show that when it comes to influential users sharing fake news, users discussing vaccine-related topics were more than twice as likely to share a fake news URLs than those discussing healthy diets.
AB - The internet’s evolution has had a profound influence on how people acquire medical information. The innovation of web 2.0 has been regarded as the primary motivating factor for people who want to access health-related education. In this work, we identify the URL categories that Twitter users incorporate into their messages when engaging in two selected health-related topics (MMR vaccines and healthy diets). Moreover, we identify the categories of influential message authors who engage in these two topics. Finally, we explore the relationship between different user categories and their patterns of URL sharing. Our results show that when it comes to influential users sharing fake news, users discussing vaccine-related topics were more than twice as likely to share a fake news URLs than those discussing healthy diets.
KW - Health issues
KW - Influential users
KW - Social media
UR - http://www.scopus.com/inward/record.url?scp=85064047916&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85064047916&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-15742-5_60
DO - 10.1007/978-3-030-15742-5_60
M3 - Conference contribution
AN - SCOPUS:85064047916
SN - 9783030157418
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 639
EP - 646
BT - Information in Contemporary Society - 14th International Conference, iConference 2019, Proceedings
A2 - Martin, Michelle H.
A2 - Taylor, Natalie Greene
A2 - Nardi, Bonnie
A2 - Christian-Lamb, Caitlin
PB - Springer
T2 - 14th International Conference on Information in Contemporary Society, iConference 2019
Y2 - 31 March 2019 through 3 April 2019
ER -