15 May 2015 Yik Yak: a social media sensor
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Abstract
This is the first academic paper which focuses specifically on the new social media application Yik Yak. To provide a solid foundation, a brief overview of a few anonymous social media platforms is provided. A social media sensor framework is then presented which utilizes a three-layered approach to addressing the use of analytic tools. Specifically the use of keyword, geolocation, sentiment, and network analysis is explored through the perspective of social media as a sensor. Challenges and criticisms are exposed in addition to some possible solutions. A theoretical case study is then offered which outlines a potential use of social media as a senor for emergency managers. The paper culminates with a data collection for the development of a lexicon for Yik Yak. This data collection focuses on an 18 day study which collects Yik Yak posts and Twitter tweets simultaneously. The top 100 keywords for each platform are collected for every 24 hour period and placed through a relative change comparison. Overall, Yik Yak offers a more stable baseline as compared to Twitter.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
W. Robert Leskovich, W. Robert Leskovich, } "Yik Yak: a social media sensor", Proc. SPIE 9499, Next-Generation Analyst III, 949904 (15 May 2015); doi: 10.1117/12.2184175; https://doi.org/10.1117/12.2184175
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