240
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Managing perceptions of credibility and social attraction: expectations of university presidents on Twitter

ORCID Icon & ORCID Icon
Received 18 Mar 2021, Accepted 08 May 2022, Published online: 24 Aug 2022
 

ABSTRACT

Through deliberate communication and enactment of marketing strategies, university presidents act as institutional brand representatives. One way in which these leaders communicate with their stakeholders is through social-networking sites (SNS). Extant research, however, shows that not only do SNS serve as sources of information, but they also provide cues that receivers, such as student stakeholders, can use to form impressions of senders, such as university presidents. Using a six-condition experiment, we sought to understand how student stakeholders respond to tweets sent by university presidents, depending on the university president’s apparent gender (male/female/undefined) and whether the university president employed the use of a public relations (PR) team to tweet on their behalf. Results indicate that (a) female university presidents are perceived as less credible but more socially attractive than their male or undefined counterparts and (b) university presidents may be able to employ PR teams to tweet on their behalf, without risking their credibility.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 709.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.