Exploring Donor Influence and Public Engagement: Computational and Thematic Analyses of Social Media Messages

Wu, Viviana Chiu-Sik

doi:10.1007/s11266-022-00481-8

Cited by 9 publications

(5 citation statements)

References 71 publications

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“…Another limitation of this study is the lack of deeper message-level analysis, similar to an important study conducted by (Wu, 2022) and Wu and Xu (2023). From our results, we are only able to notice nuanced message subtleties in framing (e.g., direct appeals to the public to act, to advocate for action, or to raise awareness regarding various aspects of climate change).…”

Section: Discussionmentioning

confidence: 97%

“…The invention of digital public space and advanced interactive technologies has created low-cost opportunities for social change (Goldkind & McNutt, 2016). In addition to the cost, extant research shows the use of social media in nonprofit advocacy has positive impacts for gaining support and increasing awareness (Guo & Saxton, 2020), creating opportunities for public engagement (Wu, 2022), and even fostering civic engagement offline for broader social change (Piatak & Mikkelsen, 2021). In particular, Lovejoy et al (2012) find that organizations used Twitter to share information and seek instrumental support.…”

Section: Nonprofit Advocacy Through Social Mediamentioning

confidence: 99%

“…Consequently, learning about the discourse of EPCNs, which we argue determine their issue agendas on social media, will help us draw parallels with issues in political systemic agendas to discern associations between these issues and policy outcomes. Second, examining EPCNs’ social media—and, in particular, behavior on the platform formerly known as Twitter—as it pertains to climate issues is pertinent given the findings from extant research on the use of this platform for promoting issue attention and mobilization, framing policy debates, and eventually leading broad social change (Wu, 2022; Goldkind & McNutt, 2016; Guo & Saxton, 2020; Gupta et al, 2018; Lovejoy & Saxton, 2012). (We refer the platform as “Twitter” throughout the paper as opposed to its current name, X, since the tweets were all generated under the platform’s old name.…”

Section: Introductionmentioning

confidence: 99%

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An Empirical Mapping of Environmental Protection and Conservation Nonprofit Discourse on Social Media

Ter-Mkrtchyan,

Taylor

2023

Nonprofit and Voluntary Sector Quarterly

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This article is a comprehensive empirical overview of environmental protection and conservation nonprofits’ discourse on social media. To what extent have these nonprofits framed climate change in their public discourse and how has it evolved over time? How do organizational characteristics and resources affect their social media behavior? To address our research questions, we use machine learning with texts—specifically topic modeling—to track the activity of 120 environmental nonprofits during a 14-year time span on X, formerly known as Twitter. Our analysis of more than 1.3 million tweets shows that climate change, although not closely aligned with the missions for more than half of the top tweeting organizations included in our sample, has consistently been a prevalent priority issue on their social media agendas for more than a decade. This heightened attention to climate change discourse by the environmental nonprofit sector denotes their uniform efforts to inspire government for climate action.

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Section: Discussionmentioning

confidence: 97%

Section: Nonprofit Advocacy Through Social Mediamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An Empirical Mapping of Environmental Protection and Conservation Nonprofit Discourse on Social Media

Ter-Mkrtchyan,

Taylor

2023

Nonprofit and Voluntary Sector Quarterly

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“…A number of studies examine how the web practices in the public and private sectors facilitate increased transparency (Campbell & Lambright, 2019; Lowatcharin & Menifield, 2015; Saxton & Guo, 2011; Waters, 2007). A few studies investigate the use of social media by foundations (Maxwell & Carboni, 2016; Wu, 2023). However, there is still little known about how foundations use the web to practice transparency.…”

Section: Why Online Transparencymentioning

confidence: 99%

Understanding Transparency Practices in Private Foundations

Jung

2024

Public Administration Quarterly

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Despite the increasing attention to transparency among academics and practitioners, researchers face a significant challenge in gaining access to foundation information, which limits their ability to study foundation transparency. This research aims to advance our understanding of foundation transparency by exploring various dimensions of transparency, including public visibility, information disclosure, external relational activities, reporting quality, and the timeliness of information. The study uses IRS Form 990-PF e-file datasets from 2011 to 2016, as well as information collected from foundation websites. Foundations with websites were coded using content analysis, and a transparency index was constructed through principal factor analysis. The findings indicate that only around one percent of foundations maintain a website, and publicly available information is skewed towards administrative information with a lack of financial information and information on external relations-building activities. Additionally, the average time taken to file after the tax deadline was approximately four months, and tax filings were found to have reporting quality issues.

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“…Furthermore, a strong focus within the literature has been on how social media has been impacted by market actors (such as donors), which has constrained the framing of social media messaging [ 20 , 28 - 30 ]. Likewise, challenges with social media use, such as breaches of confidentiality and its increased use for surveillance and accountability-related purposes [ 31 ], also act to constrain social media use.…”

Section: Introductionmentioning

confidence: 99%

A Typology of Social Media Use by Human Service Nonprofits: Mixed Methods Study

Xue,

Shier,

Chen

et al. 2024

J Med Internet Res

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Background Nonprofit organizations are increasingly using social media to improve their communication strategies with the broader population. However, within the domain of human service nonprofits, there is hesitancy to fully use social media tools, and there is limited scope among organizational personnel in applying their potential beyond self-promotion and service advertisement. There is a pressing need for greater conceptual clarity to support education and training on the varied reasons for using social media to increase organizational outcomes. Objective This study leverages the potential of Twitter (subsequently rebranded as X [X Corp]) to examine the online communication content within a sample (n=133) of nonprofit sexual assault (SA) centers in Canada. To achieve this, we developed a typology using a qualitative and supervised machine learning model for the automatic classification of tweets posted by these centers. Methods Using a mixed methods approach that combines machine learning and qualitative analysis, we manually coded 10,809 tweets from 133 SA centers in Canada, spanning the period from March 2009 to March 2023. These manually labeled tweets were used as the training data set for the supervised machine learning process, which allowed us to classify 286,551 organizational tweets. The classification model based on supervised machine learning yielded satisfactory results, prompting the use of unsupervised machine learning to classify the topics within each thematic category and identify latent topics. The qualitative thematic analysis, in combination with topic modeling, provided a contextual understanding of each theme. Sentiment analysis was conducted to reveal the emotions conveyed in the tweets. We conducted validation of the model with 2 independent data sets. Results Manual annotation of 10,809 tweets identified seven thematic categories: (1) community engagement, (2) organization administration, (3) public awareness, (4) political advocacy, (5) support for others, (6) partnerships, and (7) appreciation. Organization administration was the most frequent segment, and political advocacy and partnerships were the smallest segments. The supervised machine learning model achieved an accuracy of 63.4% in classifying tweets. The sentiment analysis revealed a prevalence of neutral sentiment across all categories. The emotion analysis indicated that fear was predominant, whereas joy was associated with the partnership and appreciation tweets. Topic modeling identified distinct themes within each category, providing valuable insights into the prevalent discussions surrounding SA and related issues. Conclusions This research contributes an original theoretical model that sheds light on how human service nonprofits use social media to achieve their online organizational communication objectives across 7 thematic categories. The study advances our comprehension of social media use by nonprofits, presenting a comprehensive typology that captures the diverse communication objectives and contents of these organizations, which provide content to expand training and education for nonprofit leaders to connect and engage with the public, policy experts, other organizations, and potential service users.

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Exploring Donor Influence and Public Engagement: Computational and Thematic Analyses of Social Media Messages

Cited by 9 publications

References 71 publications

An Empirical Mapping of Environmental Protection and Conservation Nonprofit Discourse on Social Media

An Empirical Mapping of Environmental Protection and Conservation Nonprofit Discourse on Social Media

Understanding Transparency Practices in Private Foundations

A Typology of Social Media Use by Human Service Nonprofits: Mixed Methods Study

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