Assessing Candidate Preference through Web Browsing History

Giovanni Comarela

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Ramakrishnan Durairajan

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Paul Barford

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Dino D. Christenson

Mark Crovella

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KDD, pp. 158-167, 2018.

Cited by: 2|Views30

Keywords:

Candidate preferencebrowsing behaviormachine learning

Weibo:

We show the power of using Web browsing behavior for assessing candidate preference, in terms of day-to-day and state-to-state level predictions that elucidate the impact of exogenous effects such as the ‘Comey letter.’

Abstract:

Predicting election outcomes is of considerable interest to candidates, political scientists, and the public at large. We propose the use of Web browsing history as a new indicator of candidate preference among the electorate, one that has potential to overcome a number of the drawbacks of election polls. However, there are a number of ch...More

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