%0 Journal Article %1 linek2017about %A Linek, Stephanie %A Teka Hadgu, Asmelash %A Hoffmann, Christian Pieter %A Jäschke, Robert %A Puschmann, Cornelius %D 2017 %J The Journal of Web Science %K %N 1 %P 1--15 %R 10.1561/106.00000008 %T It’s all about information? The Following Behaviour of Professors and PhD Students on Twitter %U http://www.nowpublishers.com/article/Details/JWS-0008 %V 3 %X 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 gratifications 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 influence of the activity of the account and the academic status (on different groups of followers) to differentiate the influence 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 effects 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 gratifications 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.

@article{linek2017about, abstract = {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 gratifications 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 influence of the activity of the account and the academic status (on different groups of followers) to differentiate the influence 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 effects 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 gratifications 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. }, added-at = {2023-12-13T04:16:14.000+0100}, author = {Linek, Stephanie and Teka Hadgu, Asmelash and Hoffmann, Christian Pieter and Jäschke, Robert and Puschmann, Cornelius}, biburl = {https://www.bibsonomy.org/bibtex/2816a866b359421d717ad8ad2c0293ceb/admin}, doi = {10.1561/106.00000008}, interhash = {93ca716ccff09b30d6392b4c6087a8ba}, intrahash = {816a866b359421d717ad8ad2c0293ceb}, journal = {The Journal of Web Science}, keywords = {}, month = jul, number = 1, pages = {1--15}, timestamp = {2023-12-13T04:16:14.000+0100}, title = {It’s all about information? The Following Behaviour of Professors and PhD Students on Twitter}, url = {http://www.nowpublishers.com/article/Details/JWS-0008}, volume = 3, year = 2017 }