It's All About Information? The Following Behaviour of Professors and PhD Students in Computer Science on Twitter

نویسندگان

  • Stephanie Linek
  • Asmelash Teka
  • Christian Pieter Hoffmann
  • Robert Jäschke
  • Cornelius Puschmann
چکیده

In this paper we investigate the role of the academic status in the following behaviour of computer scientists on Twitter. Based on a uses and grati cations perspective, we focus on the activity of a Twitter account and the reciprocity of following relationships. We propose that the account activity addresses the users' information motive only, whereas the user's academic status relates to both the information motive and community development (as in peer networking or career planning). Variables were extracted from Twitter user data. We applied a biographical approach to correctly identify the academic status (professor versus PhD student). We calculated a 2× 2 MANOVA on the in uence of the activity of the account and the academic status (on di erent groups of followers) to di erentiate the in uence of the information motive versus the motive for community development. Results suggest that for computer scientists Twitter is mainly an information network. However, we found significant e ects in the sense of career planning, that is, the accounts of professors had even in the case of low activity a relatively high number of researcher followers both PhD followers as well as professor followers. Additionally, there was also some weak evidence for community development grati cations in the sense of peer-networking of professors. Overall, we conclude that the academic use of Twitter is not only about information, but also about career planning and networking.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A High-Performance Model based on Ensembles for Twitter Sentiment Classification

Background and Objectives: Twitter Sentiment Classification is one of the most popular fields in information retrieval and text mining. Millions of people of the world intensity use social networks like Twitter. It supports users to publish tweets to tell what they are thinking about topics. There are numerous web sites built on the Internet presenting Twitter. The user can enter a sentiment ta...

متن کامل

The Effect of Electronical Media on the Reinforcement of Social Behavior of Youth from the Computer Course Professors and Students Viewpoints of Sari Islamic Azad University

The goal of research was the effect of electronical learning media on the reinforcement of youth social behavior from the point of view of computer course professors and students of Islamic Azad University of Sari. The statistical population was included of all computer students and professors of I.A.U of Sari. The statistical sample was identified by using of the sample content identification ...

متن کامل

A Model for Detecting of Persian Rumors based on the Analysis of Contextual Features in the Content of Social Networks

The rumor is a collective attempt to interpret a vague but attractive situation by using the power of words. Therefore, identifying the rumor language can be helpful in identifying it. The previous research has focused more on the contextual information to reply tweets and less on the content features of the original rumor to address the rumor detection problem. Most of the studies have been in...

متن کامل

Detection of Twitter Users' Attitudes about Flu Vaccine based on the Content and Sentiment Analysis of the Sent Tweets

Introduction: The influenza vaccine is one of the controversial challenges in today's societies. Considering the importance of using the flu vaccine in preventing the spread of influenza virus, the Twitter network, as a rich source of data, provides suitable conditions for research in this field to examine the attitudes of different people about this vaccine. The results in one hand will help h...

متن کامل

Detection of Twitter Users' Attitudes about Flu Vaccine based on the Content and Sentiment Analysis of the Sent Tweets

Introduction: The influenza vaccine is one of the controversial challenges in today's societies. Considering the importance of using the flu vaccine in preventing the spread of influenza virus, the Twitter network, as a rich source of data, provides suitable conditions for research in this field to examine the attitudes of different people about this vaccine. The results in one hand will help h...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • J. Web Science

دوره 3  شماره 

صفحات  -

تاریخ انتشار 2017