Abstract
It is often easier to persuade someone that something is impossible to do than that it is possible, since the absence of one necessary resource suffices. This makes lying a tempting tactic for negative persuasion. We consider the problem of finding convincing lies for it as one of maintaining consistency of a set of logical assertions; we can track that consistency with a computer program. We use an example of negative persuasion against electronic voting in elections, where automated analysis then suggests ways to prevent it.
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Rowe, N.C. (2007). Logical Modeling of Deceptive Negative Persuasion. In: de Kort, Y., IJsselsteijn, W., Midden, C., Eggen, B., Fogg, B.J. (eds) Persuasive Technology. PERSUASIVE 2007. Lecture Notes in Computer Science, vol 4744. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77006-0_14
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DOI: https://doi.org/10.1007/978-3-540-77006-0_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-77005-3
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