@inproceedings{545613aae4524c739182919fe4819846,
title = "An analysis of exchanges in chinese social media. Are social networking sites contributing to cheating?",
abstract = "This study investigates the possibility that social networking sites in China are used to exchange information about the use of unfair means in university assignments. It presents a thematic analysis of 303 messages posted between September 2016 and September 2017, on a group set up on Douban for Sheffield University students. It also draws on information provided by members of WeChat group who had formerly been students at Sheffield University. The study was prompted by an apparent increase in the practice of faking references. None of the posts on Douban referred to this practice. Students on the WeChat group suggested it was commonplace. Both Douban and WeChat were used to provide information about essay-writing services.",
keywords = "Cheating, SNS, Social media, Unfair means",
author = "Madden, {Andrew D.} and Luo, {Ting Yu} and Nunes, {Miguel Baptista}",
note = "Publisher Copyright: {\textcopyright} 2018.; International Conference e-Learning 2018, part of the Multi Conference on Computer Science and Information Systems 2018, MCCSIS 2018 ; Conference date: 17-07-2018 Through 19-07-2018",
year = "2018",
language = "English",
isbn = "9789898533784",
series = "MCCSIS 2018 - Multi Conference on Computer Science and Information Systems; Proceedings of the International Conferences on e-Learning 2018",
publisher = "IADIS",
pages = "97--104",
editor = "Pedro Isaias and Nunes, {Miguel Baptista} and Luis Rodrigues",
booktitle = "MCCSIS 2018 - Multi Conference on Computer Science and Information Systems; Proceedings of the International Conferences on e-Learning 2018",
}