TY - GEN
T1 - Dynamic user-level affect analysis in social media
T2 - 2011 IEEE International Conference on Intelligence and Security Informatics, ISI 2011
AU - Zeng, Shuo
AU - Lin, Mingfeng
AU - Chen, Hsinchun
PY - 2011
Y1 - 2011
N2 - Affect represents a person's emotions toward objects, issues or other persons. Recent years have witnessed a surge in studies of users' affect in social media, as marketing literature has shown that users' affect influences decision making. The current literature in this area, however, has largely focused on the message level, using text-based features and various classification approaches. Such analyses not only overlook valuable information about the user who posts the messages, but also fail to consider that users' affect may change over time. To overcome these limitations, we propose a new research design for social media affect analysis by specifically incorporating users' characteristics and the time dimension. We illustrate our research design by applying it to a major Dark Web forum of international Jihadists. Empirical results show that our research design allows us to draw on theories from other disciplines, such as social psychology, to provide useful insights on the dynamic change of users' affect in social media.
AB - Affect represents a person's emotions toward objects, issues or other persons. Recent years have witnessed a surge in studies of users' affect in social media, as marketing literature has shown that users' affect influences decision making. The current literature in this area, however, has largely focused on the message level, using text-based features and various classification approaches. Such analyses not only overlook valuable information about the user who posts the messages, but also fail to consider that users' affect may change over time. To overcome these limitations, we propose a new research design for social media affect analysis by specifically incorporating users' characteristics and the time dimension. We illustrate our research design by applying it to a major Dark Web forum of international Jihadists. Empirical results show that our research design allows us to draw on theories from other disciplines, such as social psychology, to provide useful insights on the dynamic change of users' affect in social media.
KW - Affect analysis
KW - Persuasion
KW - Social media
KW - Social network analysis
KW - Time dimension
UR - http://www.scopus.com/inward/record.url?scp=80052912539&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80052912539&partnerID=8YFLogxK
U2 - 10.1109/ISI.2011.5984041
DO - 10.1109/ISI.2011.5984041
M3 - Conference contribution
AN - SCOPUS:80052912539
SN - 9781457700828
T3 - Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics, ISI 2011
SP - 1
EP - 6
BT - Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics, ISI 2011
Y2 - 10 July 2011 through 12 July 2011
ER -