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Predicting Trending

Title: Predicting Trending: A Case Study.
Name(s): Ave, Miranda, author
Reiter, Andrew, author
Type of Resource: text
Genre: Text
Issuance: serial
Date Issued: 2015
Physical Form: computer
online resource
Extent: 1 online resource
Language(s): English
Abstract/Description: The Cat Project was launched by Owen Mundy in July 2014. The project served to bring awareness of computer and internet privacy by displaying the location of one million cats on a global map using geotags and metadata. The website displaying the map went viral the first day it launched and this research attempts to discover why. To do this, data from various news websites displaying articles about the Cat Project was gathered. Some examples of data collected are average reading level of the articles, word count, date written, number of shares to social media, etc. This dependent data was compared to the number of page visits and links to the I Know Where your Cat Lives Website. Data for the largest source of referrals to the website and session duration time was also collected and compared to the other variables concerning these websites. From this data, it cannot be determined whether going viral is a predicable phenomenon. With future research, more data can be collected and more in-depth analysis can be applied to determine whether it's possible to predict a topic or website's ability to go viral and if so, what variables determine viralness.
Identifier: FSU_migr_undergradsymposium2015-0033 (IID)
Keywords: big data, cats, web culture, viral
Persistent Link to This Record:
Owner Institution: FSU
Is Part of Series: Undergraduate Research Symposium 2015.

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Ave, M., & Reiter, A. (2015). Predicting Trending: A Case Study. Retrieved from