TY - GEN
T1 - The rise & fall of #NoBackDoor on Twitter
T2 - 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016
AU - Al-Khateeb, Samer
AU - Agarwal, Nitin
N1 - Funding Information:
This research is funded in part by the U.S. NSF (IIS-1110868 and ACI-1429160), U.S. ONR (N000141010091, N000141410489, N0001415P1187, N000141612016, N000141612412), U.S. AFRL, U.S. ARO (W911NF-16- 1-0189), and the Jerry L. Maulden/Entergy Fund at the University of Arkansas at Little Rock. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the funding organizations. The researchers gratefully acknowledge the support
Publisher Copyright:
© 2016 IEEE.
PY - 2016/11/21
Y1 - 2016/11/21
N2 - In addition to using social media to connect with others worldwide, many people nowadays get their news about different national or international events such as natural disasters, crises, political elections, conflicts etc. via social media. This evolution in the usage of social media has not only led to the generation of massive amounts of data but also various information consumption behaviors. In this study, we developed a framework that can be used to monitor/understand, analyze, and visualize in real time how people consume information and react to events. Following the case study of Apple, Inc. vs. FBI, we tracked the usage of the #NoBackDoor on Twitter in real time and were able to understand what people are thinking about the case and who are the actors involved in this network. The framework can be applied to study other events and provide a deeper understanding of how public sentiments evolve during an event, whether it is a crisis or major news event.
AB - In addition to using social media to connect with others worldwide, many people nowadays get their news about different national or international events such as natural disasters, crises, political elections, conflicts etc. via social media. This evolution in the usage of social media has not only led to the generation of massive amounts of data but also various information consumption behaviors. In this study, we developed a framework that can be used to monitor/understand, analyze, and visualize in real time how people consume information and react to events. Following the case study of Apple, Inc. vs. FBI, we tracked the usage of the #NoBackDoor on Twitter in real time and were able to understand what people are thinking about the case and who are the actors involved in this network. The framework can be applied to study other events and provide a deeper understanding of how public sentiments evolve during an event, whether it is a crisis or major news event.
UR - http://www.scopus.com/inward/record.url?scp=85006721562&partnerID=8YFLogxK
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U2 - 10.1109/ASONAM.2016.7752334
DO - 10.1109/ASONAM.2016.7752334
M3 - Conference contribution
AN - SCOPUS:85006721562
T3 - Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016
SP - 833
EP - 836
BT - Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016
A2 - Kumar, Ravi
A2 - Caverlee, James
A2 - Tong, Hanghang
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 18 August 2016 through 21 August 2016
ER -