Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
149 tokens/sec
GPT-4o
7 tokens/sec
Gemini 2.5 Pro Pro
45 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
38 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Gender differences in lying in sender-receiver games: A meta-analysis (1703.03739v4)

Published 10 Mar 2017 in physics.soc-ph, cs.SI, and q-bio.PE

Abstract: Whether there are gender differences in lying has been largely debated in the past decade. Previous studies found mixed results. To shed light on this topic, here I report a meta-analysis of 8,728 distinct observations, collected in 65 Sender-Receiver game treatments, by 14 research groups. Following previous work and theoretical considerations, I distinguish three types of lies: black lies, that benefit the liar at a cost for another person; altruistic white lies, that benefit another person at a cost for the liar; Pareto white lies, that benefit both the liar and another person. The results show that gender differences in lying significantly depend on the consequences of lying. Specifically: (i) males are significantly more likely than females to tell black lies (N=4,161); (ii) males are significantly more likely than females to tell altruistic white (N=2,940); (iii) results are inconclusive in the case of Pareto white lies (N=1,627).

Citations (6)

Summary

We haven't generated a summary for this paper yet.