Social Media Intelligence and Learning Environment: an Open Source Framework for Social Media Data Collection, Analysis and Curation

Wang, Chen; Marini, Luigi; Chin, Chieh-Li; Vance, Nickolas; Donelson, Curtis; Meunier, Pascal; Yun, Joseph T.

doi:10.1109/escience.2019.00035

Cited by 2 publications

References 21 publications

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University ‘Pay-for-grades’: the bait and switch search engine optimization strategies of contract cheating websites in the United States

Daly,

Ryan

2024

Int J Educ Integr

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This paper presents the first systematic investigation into the search engine optimization practices of major contract cheating websites in the United States. From a business perspective, visibility in organic search engine results is considered one of the top client recruitment tools. The current understanding of student recruitment strategies by these companies remains largely unexplored in both academic literature and popular press. Replicating the business research practices used in the search engine optimization industry, comprehensive search engine ranking and traffic data was obtained for the 38 largest contract cheating websites in the US. The overall objective was to illuminate the strategies that these companies take to get their services at the top of the search results of as many students as possible – not just the relatively small proportion of students actively cheating. The results show that these companies dominate the search results for not just students searching to cheat, but also for naïve search efforts, when students are simply doing genuine research or classwork. These nefarious companies use highly sophisticated search engine manipulation strategies to bait naïve student searchers onto their sites, thus enabling the potential to switch them to cheaters. Higher education institutions, armed with the specific details provided in this study, can use the strategies outlined in the discussion to directly and negatively impact on the success of these contract cheating services.

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