Spotting faked 5 stars ratings in E-Commerce using mouse dynamics
作者：
Highlights：
• For the first time the possibility to detect faked ratings from the analysis of mouse movements is explored.
• Mouse dynamics is a promising methodology to identify faked ratings.
• Fakers take more time to start to move the mouse and to compute their response, moving slower on the screen.
• Fakers' mouse trajectories are distinguished for being wide and erratic.
• Participants give neutral judgments rather than positive or negative ratings when they are encouraged to cheat.
摘要
•For the first time the possibility to detect faked ratings from the analysis of mouse movements is explored.•Mouse dynamics is a promising methodology to identify faked ratings.•Fakers take more time to start to move the mouse and to compute their response, moving slower on the screen.•Fakers' mouse trajectories are distinguished for being wide and erratic.•Participants give neutral judgments rather than positive or negative ratings when they are encouraged to cheat.
论文关键词：Fake reviews,Mouse dynamics,Mouse tracking,Fake ratings,Deception detection
论文评审过程：Received 19 December 2019, Revised 25 February 2020, Accepted 15 March 2020, Available online 19 March 2020, Version of Record 23 March 2020.
论文官网地址：https://doi.org/10.1016/j.chb.2020.106348
