TY - GEN
T1 - Early public responses to the zika-virus on YouTube
T2 - 10th ACM Conference on Web Science, WebSci 2018
AU - Nerghes, Adina
AU - Kerkhof, Peter
AU - Hellsten, Iina
PY - 2018
Y1 - 2018
N2 - In this paper, we analyze the content of the most popular videos posted on YouTube in the first phase of the Zika-virus outbreak in 2016, and the user responses to those videos. More specifically, we examine the extent to which informational and conspiracy theory videos differ in terms of user activity (number of comments, shares, likes and dislikes), and the sentiment and content of the user responses. Our results show that 12 out of the 35 videos in our data set focused on conspiracy theories, but no statistical differences were found in the number of user activity and sentiment between the two types of videos. The content of the user responses shows that users respond differently to sub-topics related to Zika-virus. The implications of the results for future online health promotion campaigns are discussed.
AB - In this paper, we analyze the content of the most popular videos posted on YouTube in the first phase of the Zika-virus outbreak in 2016, and the user responses to those videos. More specifically, we examine the extent to which informational and conspiracy theory videos differ in terms of user activity (number of comments, shares, likes and dislikes), and the sentiment and content of the user responses. Our results show that 12 out of the 35 videos in our data set focused on conspiracy theories, but no statistical differences were found in the number of user activity and sentiment between the two types of videos. The content of the user responses shows that users respond differently to sub-topics related to Zika-virus. The implications of the results for future online health promotion campaigns are discussed.
KW - Conspiracy theory videos
KW - Informational
KW - Semantic networks
KW - Topic modeling
KW - YouTube
KW - Zika-virus
UR - http://www.scopus.com/inward/record.url?scp=85049402308&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85049402308&partnerID=8YFLogxK
U2 - 10.1145/3201064.3201086
DO - 10.1145/3201064.3201086
M3 - Conference contribution
AN - SCOPUS:85049402308
T3 - ACM Conference on Web Science Proceedings
SP - 127
EP - 134
BT - WebSci 2018 - Proceedings of the 10th ACM Conference on Web Science
PB - Association for Computing Machinery, Inc
Y2 - 27 May 2018 through 30 May 2018
ER -
