Effectiveness of Using Artificial Intelligence and Social Media to Support Non-Profit organization for Fundraising.
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Authors
Jabeen, Shahistha
Alharbi, Noha
Sharma, Himanshu
Issue Date
2025-03-24
Type
Other
Language
en_US
Keywords
Natural Language Processing , Artificial Intelligence , Sentiment Analysis
Alternative Title
Abstract
Non-profit organizations often struggle to attract donors and engage with them effectively, particularly through social media where their presence may be lacking. This research will investigate how non-profit organizations can use artificial intelligence (Al) and social media to enhance their fundraising efforts and build stronger relationships with donors. The study utilized a quantitative methodology with a sample size of 50 non-profit organizations, and data was collected from open sources, such as social media, Google reviews, and Glassdoor reviews. The researchers will use natural language processing (NLP) to analyze the collected reviews and identify positive or negative sentiments. The expected outcomes of the study are to demonstrate the potential benefits of Al-powered tools, such as chatbots and sentiment analysis, to streamline fundraising processes, improve donor experiences, and increase fundraising effectiveness and efficiency. By adopting Al and social media strategies, non-profits can leverage positive sentiment to promote the success of fundraising campaigns and address negative sentiment to make improvements to fundraising efforts.
Description
Advisor: Prof. Dan Tenney.
UB RISE 2023, Department of Tehnology Management, School of Engineering, University of Bridgeport.