Proceedings of the 1st ACM International Workshop on Personal Data Meets Distributed Multimedia 2013
DOI: 10.1145/2509352.2509398
|View full text |Cite
|
Sign up to set email alerts
|

The influence of social norms on synchronous versus asynchronous communication technologies

Abstract: Extensive theoretic work attempts to address the role of social norms in describing, explaining and predicting human behaviors. However, traditional methods of assessing the effect can be expensive and time consuming. In this work, we utilize data generated by the call detail records (CDRs) and geo-tagged Tweets (GTTs) as enabling proxies for understanding human activity patterns. We present preliminary results on the effect of social norms on communication patterns during different times of the day, including… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2014
2014
2017
2017

Publication Types

Select...
2
1

Relationship

1
2

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 13 publications
0
1
0
Order By: Relevance
“…This model of users as an information contributors has provided researchers, news organizations, and governments with a tool to measure (to some degree) representative samples of populations in real time [1,13,17,25]. However, Lumezanue et al [16] identified propagandists Twitter accounts that exhibit opinions or ideologies to either sway public opinion, disseminate false information, or disrupt the conversations of legitimate users.…”
Section: Spam In Social Networkmentioning
confidence: 99%
“…This model of users as an information contributors has provided researchers, news organizations, and governments with a tool to measure (to some degree) representative samples of populations in real time [1,13,17,25]. However, Lumezanue et al [16] identified propagandists Twitter accounts that exhibit opinions or ideologies to either sway public opinion, disseminate false information, or disrupt the conversations of legitimate users.…”
Section: Spam In Social Networkmentioning
confidence: 99%