TY - GEN
T1 - Unfolding the event landscape on twitter
T2 - ACM 2012 Conference on Computer Supported Cooperative Work, CSCW'12
AU - De Choudhury, Munmun
AU - Diakopoulos, Nicholas
AU - Naaman, Mor
PY - 2012/3/19
Y1 - 2012/3/19
N2 - Social media platforms such as Twitter garner significant attention from very large audiences in response to real-world events. Automatically establishing who is participating in information production or conversation around events can improve event content consumption, help expose the stakeholders in the event and their varied interests, and even help steer subsequent coverage of an event by journalists. In this paper, we take initial steps towards building an automatic classifier for user types on Twitter, focusing on three core user categories that are reflective of the information production and consumption processes around events: organizations, journalists/media bloggers, and ordinary individuals. Exploration of the user categories on a range of events shows distinctive characteristics in terms of the proportion of each user type, as well as differences in the nature of content each shared around the events.
AB - Social media platforms such as Twitter garner significant attention from very large audiences in response to real-world events. Automatically establishing who is participating in information production or conversation around events can improve event content consumption, help expose the stakeholders in the event and their varied interests, and even help steer subsequent coverage of an event by journalists. In this paper, we take initial steps towards building an automatic classifier for user types on Twitter, focusing on three core user categories that are reflective of the information production and consumption processes around events: organizations, journalists/media bloggers, and ordinary individuals. Exploration of the user categories on a range of events shows distinctive characteristics in terms of the proportion of each user type, as well as differences in the nature of content each shared around the events.
KW - events
KW - social media
KW - twitter
KW - user classification
UR - http://www.scopus.com/inward/record.url?scp=84858250319&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84858250319&partnerID=8YFLogxK
U2 - 10.1145/2145204.2145242
DO - 10.1145/2145204.2145242
M3 - Conference contribution
AN - SCOPUS:84858250319
SN - 9781450310864
T3 - Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW
SP - 241
EP - 244
BT - CSCW'12 - Proceedings of the ACM 2012 Conference on Computer Supported Cooperative Work
Y2 - 11 February 2012 through 15 February 2012
ER -