Using uncensored communication channels to divert spam traffic
dc.contributor.author | Chiao, Benjamin | |
dc.contributor.author | MacKie-Mason, Jeffrey K. | |
dc.date.accessioned | 2013-06-08T14:29:53Z | |
dc.date.available | 2013-06-08T14:29:53Z | |
dc.date.issued | 2012-12 | |
dc.identifier.citation | Information Economics and Policy, Volume 24, Issues 3–4, December 2012, Pages 173–186 <http://hdl.handle.net/2027.42/97778> | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/97778 | |
dc.description.abstract | We analyze a simple, feasible improvement to the current email system using an uncensored (open) communication channel. Such a channel could be an email folder or account, to which properly tagged commercial solicitations are routed without filtering along the way. We characterize the circumstances under which senders would voluntarily move much of their spam into the open channel, leaving the traditional email channel dominated by person-to-person mail. We then show that under certain conditions all email recipients are better off when an open channel is introduced. Only recipients wanting spam will use the open channel enjoying the less disguised messages and cheaper sale prices, and for all recipients the dissatisfaction associated with both undesirable mail received and desirable mail filtered out decreases. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Elsevier | en_US |
dc.subject | Spam, Internet, Microeconomics | en_US |
dc.title | Using uncensored communication channels to divert spam traffic | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Information and Library Science | |
dc.subject.hlbtoplevel | Social Sciences | |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | School of Information and Dept. of Economics, University of Michigan | en_US |
dc.contributor.affiliationother | Shanghai University of Finance and Economics | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/97778/1/iep-as-published.pdf | |
dc.identifier.doi | 10.1016/j.infoecopol.2012.07.001 | |
dc.identifier.source | Information Economics and Policy | en_US |
dc.description.mapping | 70 | en_US |
dc.owningcollname | Information, School of (SI) |
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