Linguistic Obfuscation in Fraudulent Science
By David M. Markowitz, Jeffrey T. Hancock. 2016
104 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Safety Research, Social Psychology
View Paper: https://www.semanticscholar.org/paper/9696957e8bb528bdbc5d992e735eb18bf93151dd
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Christopher R'e
- Aditya G. Parameswaran
- Theodoros Rekatsinas
- Hector Garcia-Molina
- Manas R. Joglekar
- Alexander J. Ratner
- Peter Richtárik
- Stephen H. Bach
In Safety Research
Citations in the corpus
- SLiMFast: Guaranteed Results for Data Fusion and Source Reliability (2015, background): “its credibility, while applications that focus on evaluating the quality of documents consider external characteristics, such as the length, fraction of words spelled correctly, the author, and so on [14, 26]. To better understand how non-expert users perceive data source qualityindownstreamapplicat”