Communications of the ACM
Time Series Analysis, Forecasting and Control
Time Series Analysis, Forecasting and Control
An Investigation and Conceptual Model of SMS Marketing
HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 1 - Volume 1
Communications of the ACM - Wireless sensor networks
Technically speaking: slicing the ham from the spam
IEEE Spectrum
Filtering spam e-mail on a global scale
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
The tragedy of the digital commons
Ethics and Information Technology
File Sharing as a Form of Music Consumption
International Journal of Electronic Commerce
Mobile Permission Marketing: Framing the Market Inquiry
International Journal of Electronic Commerce
Toward an information-compatible anti-spam strategy
Communications of the ACM - Security in the Browser
Hi-index | 0.00 |
Unsolicited commercial e-mail (UCE) is a significant problem of the digital commons, but there has been little empirical analysis of proposed solutions and underlying mechanisms. This study, based on an analysis of 47 million inbound e-mail messages drawn from a cross-section of e-mail inbox owners over a one-year period, characterizes resource overuse in the e-mail commons. The absence of a growth trend in UCE message volume raises questions about the sampling methodologies underlying media reports about spam. The distribution of UCE messages reveals a cyclical trend, peaking in mid-week and subsiding on weekends, that can be explained in part by the trend of regular e-mail messages-an unanticipated finding given the difference between UCE and ordinary e-mail communication. Ruling out technological constraints and workweek conventions, the study suggests that these covarying patterns come about because UCE senders strategically exploit the unique features of the on-line commons, including instantaneous feedback, information transparency, identity misrepresentation, and technological progress. Analysis of these properties can lead to improved management of the digital commons.