Developing and Evaluating a Readability Measure for Microblogging Communication
In: 14th SIG e-Business Workshop at the 36th International Conference on Information Systems (ICIS); Fort Worth, TX, USA
Category: Proceedings [Find it]
Especially due to the recent expansion of social media platforms, researchers and practitioners exert ever growing efforts to advance big data analytics techniques to derive actionable insights from social networks. Although a substantial body of research has shown that readability is of vital importance for the success of text-based communication, currently it is rarely considered in social media research or especially microblogging. In this research project, we intend to develop a readability measure for microblogging messages that is applicable to large scale data analysis and also provides concrete formulation recommendations for single messages. We will combine text mining and machine learning techniques to analyze a sample of approximately 6.8 million Twitter messages from and about 33 large S&P 100 companies to develop a respective readability measure.
Reference No.: 2015-90