Document Type : sience
Authors
1 Researcher
2 Professor / Faculty of Social Communication Sciences, Allameh Tabataba'i University
Abstract
The development of communication technologies has brought about serious changes in science and technology communications, as in other fields. In the following article, the Twitter page of the leading American universities of technology, including MIT, Berkeley, and Stanford, has been selected and, using Topic modeling data mining, has been followed to find Topic patterns in science and technology communications at these universities. Modeling topics for nearly ten thousand tweets, various categories including education, Covid 19, technology and engineering, honors, research, politics, student life, sports and entertainment, online events, culture and art, entrepreneurship, Environment, research and development and social. There is a positive correlation between likes and topics of honors, research and education. The opposite is true for the words of the political topics. Regression calculations by negative binomial distribution also indicate that topics such as honors and achievements and sports and recreation are more likely to be liked and retweeted, while political issues are deterrent to likes. The results of topic modeling show that the main focus is on the content presented by the student and the prevailing atmosphere and there is a significant distance from the management and news about it.
Keywords
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