Butgereit, LLBotha, RA2013-12-102013-12-102013-09Butgereit, L.L and Botha, R.A. 2013. Predictable patterns in microtext as seen in educational applications using MXit in South Africa. In: IEEE Africon 2013, Mauritius, 9-13 September 2013http://hdl.handle.net/10204/7116IEEE Africon 2013, Mauritius, 9-13 September 2013. Abstract only attached.In South Africa, a number of mobile chat systems are used including Google Chat, BBM (Blackberry Messenger) and Watsapp. However, the mobile chat system which is the most widely used in South Africa is MXit which boasts tens of millions of users in a country of approximately fifty million people. In order to analyze MXit lingo for educational purposes, it was necessary to first determine whether or not there were any predictable patterns when people chatted using MXit lingo. This paper presents letter rankings, letter frequencies, word rankings, word frequencies and message length measurements in three different collections of messages and finds the measurements of similarity to be statistically significant. By investigating whether or not there are any predictable patterns in MXit lingo, a foundation is built for future research into MXit based communication and, therefore, other microtext communication systems.enEducational applicationsMXitGoogle ChatBlackberry MessengerBBMWatsappDr MathMicrotextConference PresentationButgereit, L., & Botha, R. (2013). Predictable patterns in microtext as seen in educational applications using MXit in South Africa. http://hdl.handle.net/10204/7116Butgereit, LL, and RA Botha. "Predictable patterns in microtext as seen in educational applications using MXit in South Africa." (2013): http://hdl.handle.net/10204/7116Butgereit L, Botha R, Predictable patterns in microtext as seen in educational applications using MXit in South Africa; 2013. http://hdl.handle.net/10204/7116 .TY - Conference Presentation AU - Butgereit, LL AU - Botha, RA AB - In South Africa, a number of mobile chat systems are used including Google Chat, BBM (Blackberry Messenger) and Watsapp. However, the mobile chat system which is the most widely used in South Africa is MXit which boasts tens of millions of users in a country of approximately fifty million people. In order to analyze MXit lingo for educational purposes, it was necessary to first determine whether or not there were any predictable patterns when people chatted using MXit lingo. This paper presents letter rankings, letter frequencies, word rankings, word frequencies and message length measurements in three different collections of messages and finds the measurements of similarity to be statistically significant. By investigating whether or not there are any predictable patterns in MXit lingo, a foundation is built for future research into MXit based communication and, therefore, other microtext communication systems. DA - 2013-09 DB - ResearchSpace DP - CSIR KW - Educational applications KW - MXit KW - Google Chat KW - Blackberry Messenger KW - BBM KW - Watsapp KW - Dr Math KW - Microtext LK - https://researchspace.csir.co.za PY - 2013 T1 - Predictable patterns in microtext as seen in educational applications using MXit in South Africa TI - Predictable patterns in microtext as seen in educational applications using MXit in South Africa UR - http://hdl.handle.net/10204/7116 ER -