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Data Mining and Twitter

Data Mining and Twitter. By Kylie Wyman. What is data mining?.

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Data Mining and Twitter

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  1. Data Mining and Twitter By Kylie Wyman

  2. What is data mining? • Data mining is the practice of searching through, and collecting, large amounts of data in order to find useful patterns or trends. One of the sole purposes of data mining is to discover relationships within the data that is found on different databases.

  3. TWITTER • In 2013, Twitter sold data of users for $47.5 million to companies that “analyze the data for insights into news events and trends.” (Dwoskin, 2013) • Companies pay Twitter for access to torrent of tweets from the service’s 215 million monthly active users. (Luckerson, 2013) • Companies such as DirecTV use Twitter data in order to spot power outages based on customer complaints. (Dwoskin, 2013) • Twitter has minimized the amount of data that outside firms are allowed to pull from its system free of charge. • The Red Cross USED Twitter after Hurricane Sandy to pinpoint where aid was needed the most.

  4. Why do Companies use data mining? • Companies/Websites use data mining in order to collect data from people who visit their sites. • Companies aggregate data in order to determine how a product will do in the market, or come up with new advertising campaigns

  5. How do they do it? • Description and Prediction • Anomaly detection - What data trends look like in a typical case. Stats are used to determine if something is notably different. • Association learning:Seeing what users buy online and making suggestions for future purchases. (IE: Buying a book on Amazon and having the website suggest an author next time you make a purchase). • Cluster detection: Recognizing distinct clusters or sub-categories within data. (IE: Classifying Internet users into groups.) • Classification:Adds more information to categories.

  6. Protecting Yourself from data mining • Never provide more information than what is required by the retailer when making an online purchase. • Seek out websites that show you how to maximize your privacy settings.   • Use browser plug-ins, proxy servers, or pay services that hide your computer’s individual IP address.  • Adjust the privacy settings on your Internet browser to block third-party “cookies”  (Your Life In Pixels, 2013)

  7. References • Dwoskin, E. (October, 2013 7). Twitter's data business proves lucrative. Retrieved on Dec 1, 2013 from http://online.wsj.com/news/articles/SB10001424052702304441404579118531954483974 • Furnas, David. The Atlantic, (2012). Everything You Wanted to Know About Data Mining but Were Afraid to Ask. Retrieved from Dec 1, 2013 http://www.theatlantic.com/technology/archive/2012/04/everything-you-wanted-to-know-about-data-mining-but-were-afraid-to-ask/255388 • Green, A. (JUNE, 2012). Twitter API programming tips, tutorials, source code libraries and consulting. Retrieved from Dec 2, 2013 http://140dev.com/twitter-api-programming-blog/category/data-mining-tweets/ • Luckerson, V. (October, 8 2013). Twitter is selling access to your tweets for millions read more: Twitter is selling access to your tweets for millions Retrieved from http://business.time.com/2013/10/08/twitter-is-selling-access-to-your-tweets-for-millions/ • Data mining, 2013. In Merriam-Webster.com. Retrieved Dec 5, 2013 from http://www.merriam-webster.com/dictionary/data%20mining

  8. References • Meyer, David. CNN, (2013). A Plan to Mix Privacy into Data Mining. Retrieved Dec 1, 2013 from http://money.cnn.com/2013/10/28/smallbusiness/data-mining/ • Mims, C. (October, 13 2010). How to use twitter for personal data mining. Retrieved Nov 29, 2013 from http://www.technologyreview.com/view/421201/how-to-use-twitter-for-personal-data-mining/ • Waxer, C. (October, 2013 28). How data mining can boost your revenue by 300%. Retrieved Nov 28, 2013 from http://money.cnn.com/2013/10/28/smallbusiness/data-mining/ • “Your Life in Pixels.” (May, 2012 7). Retrieved Dec 3, 2013 from http://www.aarp.org/home-family/personal-technology/info-05-2012/video-data-mining-internet-privacy-ines.html

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