Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/12029
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dc.contributor.authorJacques, JT-
dc.contributor.authorPerry, M-
dc.contributor.authorKristensson, PO-
dc.date.accessioned2016-02-05T12:55:44Z-
dc.date.available2015-05-10-
dc.date.available2016-02-05T12:55:44Z-
dc.date.issued2015-
dc.identifier.citationComputers in Human Behavior, 50: pp. 535 - 543, (2015)en_US
dc.identifier.issn0747-5632-
dc.identifier.urihttp://www.sciencedirect.com/science/article/pii/S0747563215003180-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/12029-
dc.description.abstractOnline syndicated text-based advertising is ubiquitous on news sites, blogs, personal websites, and on search result pages. Until recently, a common distinguishing feature of these text-based advertisements has been their background color. Following intervention by the Federal Trade Commission (FTC), the format of these advertisements has undergone a subtle change in their design and presentation. Using three empirical experiments, we investigate the effect of industry-standard advertising practices on click rates, and demonstrate changes in user behavior when this familiar differentiator is modified. Using three large-scale experiments (N<inf>1</inf> = 101, N<inf>2</inf> = 84, N<inf>3</inf> = 176) we find that displaying advertisement and content results with a differentiated background results in significantly lower click rates. Our results demonstrate the strong link between background color differentiation and advertising, and reveal how alternative differentiation techniques influence user behavior.en_US
dc.description.sponsorshipThis work was supported by a studentship from the Engineering and Physical Sciences Research Council. Open Access funded by Engineering and Physical Sciences Research Council.en_US
dc.format.extent535 - 543-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectAdvertisingen_US
dc.subjectCrowdsourcingen_US
dc.subjectBehavioren_US
dc.titleDifferentiation of online text-based advertising and the effect on users' click behavioren_US
dc.typeArticleen_US
dc.identifier.doihttp://dx.doi.org/10.1016/j.chb.2015.04.031-
dc.relation.isPartOfComputers in Human Behavior-
pubs.publication-statusPublished-
pubs.publication-statusPublished-
pubs.volume50-
Appears in Collections:Dept of Computer Science Research Papers

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