Understanding the information diffusion of tweets of a non-profit organization that targets female audiences: an examination of Women Who Code's tweets

Angie Chung, Hongjoo Woo, Kangbok Lee

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Purpose: There is a growing interest in the way non-profit organizations can use Twitter strategically to communicate their message, but little attention has been paid to the way content categories and features may facilitate retweets of messages of a non-profit organization that targets women as its audience. Based on stakeholder theory, this study aims to fill this gap by analyzing Women Who Code (WWC)'s tweets to examine whether there are any differences in the number of retweets with respect to the content categories (information, community or action) and features (hashtags, emojis, photos, videos and URLs) in its Twitter communications. Design/methodology/approach: WWC's original tweets that were posted during a one-year period from February 20, 2018 to February 20, 2019 were collected using a Twitter analytics tool. The content categories for each tweet were coded, and the number of hashtags and emojis used and the inclusion of photos, videos and URLs were noted. A negative binomial regression model was used to address the research questions. Findings: The findings showed that with respect to the content categories, community and action-based tweets were retweeted less frequently than informational tweets. With respect to the content features, the results showed that using emojis or URLs in a tweet affected retweets positively, while including hashtags or a video affected them negatively. Further, using photos or images in a tweet had no significant effect on retweets. Originality/value: These findings contribute to our understanding of non-profit organizations' use of Twitter and provide practical implications for the way non-profit organizations that target female audiences interested in technology can disseminate their messages more strategically.

Original languageEnglish
Pages (from-to)68-84
Number of pages17
JournalJournal of Communication Management
Volume25
Issue number1
DOIs
Publication statusPublished - 2021 Jan 29

Bibliographical note

Funding Information:
This study was supported by the Bronczek Funds for Excellence in the School of Communication and Journalism at Auburn University (for data purchase), Brain Korea 21 Plus Project of Dept. of Clothing and Textiles, Yonsei University in 2019 (2019-11-0026) (for manuscript copyediting) and the Yonsei University Research Fund of 2019-22-0018 (for office supplies and maintenance).

Publisher Copyright:
© 2020, Emerald Publishing Limited.

All Science Journal Classification (ASJC) codes

  • Communication
  • Strategy and Management

Fingerprint

Dive into the research topics of 'Understanding the information diffusion of tweets of a non-profit organization that targets female audiences: an examination of Women Who Code's tweets'. Together they form a unique fingerprint.

Cite this