2014 PeopleonDrugsCredibilityofUserS
- (Mukherjee et al., 2014) ⇒ Subhabrata Mukherjee, Gerhard Weikum, and Cristian Danescu-Niculescu-Mizil. (2014). “People on Drugs: Credibility of User Statements in Health Communities.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623714
Subject Headings:
Notes
Cited By
- http://scholar.google.com/scholar?q=%222014%22+People+on+Drugs%3A+Credibility+of+User+Statements+in+Health+Communities
- http://dl.acm.org/citation.cfm?id=2623330.2623714&preflayout=flat#citedby
Quotes
Author Keywords
- Credibility; information filtering; natural language processing; objectivity; probabilistic graphical models; trustworthiness; veracity
Abstract
Online health communities are a valuable source of information for patients and physicians. However, such user-generated resources are often plagued by inaccuracies and misinformation. In this work we propose a method for automatically establishing the credibility of user-generated medical statements and the trustworthiness of their authors by exploiting linguistic cues and distant supervision from expert sources. To this end we introduce a probabilistic graphical model that jointly learns user trustworthiness, statement credibility, and language objectivity.
We apply this methodology to the task of extracting rare or unknown side-effects of medical drugs --- this being one of the problems where large scale non-expert data has the potential to complement expert medical knowledge. We show that our method can reliably extract side-effects and filter out false statements, while identifying trustworthy users that are likely to contribute valuable medical information.
References
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Author | volume | Date Value | title | type | journal | titleUrl | doi | note | year | |
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2014 PeopleonDrugsCredibilityofUserS | Gerhard Weikum Subhabrata Mukherjee Cristian Danescu-Niculescu-Mizil | People on Drugs: Credibility of User Statements in Health Communities | 10.1145/2623330.2623714 | 2014 |