Harking, Sharking, and Tharking

By J. Hollenbeck, Patrick M. Wright. 2017

144 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/d014b370a4b09b6cea30270bd80bafcaac21bbda

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

1. John Antonakis
2. Herman Aguinis

In Statistics and Probability

1. Kevin J. Murphy
2. John Antonakis
3. Herman Aguinis

Citations in the corpus

• HARKing: How Badly Can Cherry-Picking and Question Trolling Produce Bias in Published Results? (2019, background): “Second, authors might engage in THARKing (transparently HARKing; Hollenbeck & Wright, 2017).”
• On doing better science: From thrill of discovery to policy implications (2017, background): “The lesson here is that exploratory work can lead to important discoveries (see also Hollenbeck & Wright, 2017), which need to be confirmed causally in subsequent research.”