COMPARATIVE ANALYSIS OF TWITTER ANALYTICS OF IFLA AND OCLC TWEETS USING UNION METRICS TWEET REACH ONLINE TOOL – A PILOT STUDY

Authors

Stephen GFollow

Date of this Version

2019

Document Type

Article

Citation

1. Bastos, M. T., Travitzki, R., & Puschmann, C. (2012). What sticks with whom? Twitter follower- followee networks and news classification. Proceedings of 6th International AAAI Conference on Weblogs and Social Media—Workshop on the Potential of Social Media Tools and Data for Journalists in the News Media Industry
2. Bruns, A., & Stieglitz, S. (2013). Towards more systematic Twitter analysis: Metrics for tweeting activities. International Journal of Social Research Methodology, 16(2), 91-108.
3. Carnegie Mellon University. "Quarter of tweets not worth reading, Twitter users tell researchers." ScienceDaily.
4. Free Twitter analytics report. (n.d.). Retrieved from https://tweetreach.com/
5. Jahanbakhsh, K., & Moon, Y. (2014). The predictive power of social media: On the predictability of U.S presidential elections using Twitter. arXiv preprint arXiv: 1407.0622.
6. Krikorian, Raffi. (VP, Platform Engineering, Twitter Inc.). "New Tweets per second record, and how!" Twitter Official Blog.
7. Kumar, S., Morstatter, F., & Liu, H. (2014). Twitter Data Analytics. Springer, New York.
8. Kwak, H., Lee, C., & Park, H. (2010). What is twitter, a social network or a news media? Proceedings of the 19th International Conference on World Wide Web. Raleigh, North Carolina, USA
9. Natural language processing. (2019, May 25). Retrieved from https://en.wikipedia.org/wiki/Natural_language_processing
10. Natural language processing.From https://en.wikipedia.org/wiki/Natural_language_processing
11. Neethu M S, Rajasree R. Sentiment Analysis in Twitter using Machine Learning Techniques. IEEE 2013.
12. Sultan M. Al-Daihani, Suha A. AlAwadhi, (2015) "Exploring academic libraries’ use of Twitter: a content analysis", The Electronic Library, Vol. 33 Issue: 6, pp.1002-1015.
13. Twitter Analytics. (n.d.). Retrieved from https://analytics.twitter.com/about
14. Twitter Engineering. "200 million Tweets per day." Twitter Official Blog. June 30, 2011.
15. Twitter. (2019, June 05). Retrieved from https://en.wikipedia.org/wiki/Twitter
16. Weil, Kevin. (VP of Product for Revenue and former big data engineer, Twitter Inc.). "Measuring Tweets." Twitter Official Blog.
17. Wu, S., Hofman, J. M., Mason, W. A., & Watts, D. J. (2011). Who says what to whom on twitter. Proceedings of the 20th International Conference on World Wide Web. ACM New York, NY, USA.
18. Ye, S., & Wu, F. (2013). Measuring message propagation and social influence on Twitter.com. International Journal of Communication Networks and Distributed System, 11(1), 59-76.

Abstract

Twitter Analytics provides information that can help create meaningful tweets that will resonate with the target audience. Many businesses and professionals use Twitter to connect with and connect with their customers and colleagues. Benefits of Twitter include reaching out to a wider audience and enabling two-way communication with customers and followers. The loss involves possible negative feedback. All Twitter users can get a detailed report on their followers and personalized tweets, including impressions, clicks and engagement. This pilot study conducts to know the library and science professional association of IFLA and OCLC (OCLC is a global library cooperative that provides shared technology services, original research and community programs for its membership and the library community at large) how to reach the world wide via twitter, to find the reach among the LIS professionals, number of following / followers, Tweets, retweets, reply activity and impressions of previous 100 tweets using the Union Metric Tweet reach online Tool.