On November 17, 2023, researchers from the AIJ Lab at the University of Toronto presented two groundbreaking studies at the 52nd Annual ARNOVA (Association for Research on Nonprofit Organizations and Voluntary Action) Conference in Orlando, Florida, USA. These studies, led by Dr. Jia Xue, are part of an ongoing research series that examines social media strategies for nonprofit organizations using an expanded application of the classic Four Factor Model (Guo&Saxton, 2020). The research seeks to validate cross-disciplinary insights and develop comprehensive theories and methodologies to help nonprofit organizations enhance visibility, engagement, and impact in addressing critical social issues.
A Study on Communication Strategies of Sexual Assault Organizations on Twitter
The first study, "Attention-Seeking Strategies: An Investigation of Sexual Assault Organizations’ Communication Tactics on Twitter," was presented by Hong Shi, a data analyst, and Qiaoru Zhang, the chief research coordinator. This research analyzes how Canadian sexual assault organizations effectively engage audiences and attract attention on Twitter.
The study identified four major factors influencing audience engagement:
Practical Implications
In summary, this study extends the Four Factor Model (Guo&Saxton, 2020) to nonprofit organizations, offering valuable insights into how various factors influence audience engagement on social media.
A Typology of Social Media Use by Human Service Nonprofits
The second study, "A Typology of Social Media Use by Human Service Nonprofits," presented by PhD student Chengda Zheng, offers a detailed framework for understanding how nonprofit organizations, particularly sexual assault centers in Canada, utilize social media to achieve diverse communication goals.
Key Findings
The study categorized nonprofit social media use into seven objectives: community engagement, organizational administration, public awareness, political advocacy, support for others, partnerships, and appreciation. Sentiment analysis revealed predominant emotions such as "fear" in tweets addressing serious issues and "joy" in content celebrating partnerships. Moreover, a machine learning-based predictive classification model proved more effective than manual coding, underscoring the potential of AI in analyzing large datasets.
Practical Implications
The study provides a comprehensive typology of social media use by human service nonprofits, enabling organizations to tailor their social media strategies to align with specific organizational goals. This typology helps in maximizing the impact and relevance of their online presence.
The study offers valuable insights into how machine learning can analyze the communication strategies of sexual assault support organizations on Twitter in Canada. Researchers examining a large dataset identified the tweets' vital themes, sentiments, and topics. The findings enhance understanding social media use for community engagement, public awareness, and organizational administration. The implications emphasize the need for education and training for practitioners, policymakers, and managerial personnel to maximize social media's benefits in achieving organizational goals.
End Note
The collective results of these studies provide nonprofit organizations with invaluable data-driven insights and practical recommendations for leveraging social media to strengthen visibility and engagement. By understanding the dynamics of social media interactions and employing targeted communication strategies, sexual assault organizations and other human service nonprofits can significantly enhance their advocacy and outreach efforts. The AIJ Lab's research on social media in the nonprofit sector demonstrates the transformative power of social media, providing a solid framework for future initiatives and interventions aimed at amplifying the voices of these crucial organizations.
ARNOVA. https://www.arnova.org/
Xue, J., Shi, H., Zhang, Q., Fan, J., & Shier, M. (2024). Attention-Seeking Strategies: An Investigation of Sexual Assault Organizations’ Communication Tactics on Twitter. Nonprofit and Voluntary Sector Quarterly, 0(0). https://doi.org/10.1177/08997640241247025
Xue, J., Chen, C., Zheng, C., Wang, Y., Chen, J., & Shier, M. L. (2024). A Typology of Social Media Use by Human Service Nonprofits: Mixed Methods Study. Journal of Medical Internet Research. Vol: 26:e51698. Doi: 10.2196/51698. https://www.jmir.org/2024/1/e51698.
Guo, C., & Saxton, G. D. (2020). The quest for attention: Nonprofit advocacy in a social media age. Stanford University Press.
ARNOVA
The Association for Research on Nonprofit Organizations and Voluntary Action (ARNOVA) is a diverse community of scholars, educators, and practice leaders that strengthens the field of nonprofit and philanthropic research to improve civil society and human life. Founded in 1971 as the Association of Voluntary Action Scholars, ARNOVA is a neutral, open forum dedicated to enhancing research and shaping better practices in the nonprofit sector. By bridging theoretical and applied interests, ARNOVA enables scholars to understand the daily challenges faced by third-sector organizations. It also provides nonprofit professionals access to research that can enhance their organizational effectiveness and improve the quality of life for citizens and communities.
ARNOVA’s Annual Conference
Each year, ARNOVA gathers over 800 scholars, researchers, and educators at its conference to explore the latest research on nonprofits, voluntary action, philanthropy, and civil society. The diverse presentations cover pressing subjects, methodologies, and developments in fundraising, nonprofit management, social enterprise, and more, providing valuable insights from local and international perspectives.