In another line of work, “ Who Leads and Who Echoes?” (Wu & Xu, 2023) recently published in the Nonprofit and Voluntary Sector Quarterly, my collaborator and I traced the message diffusion networks of climate action and contrarian nonprofits on Twitter (now “X”). Social media offer a very noisy information environment, and it is difficult to ascertain who leads a climate discourse and how the messages might diffuse across stakeholders. Adjudicating the question of message diffusion on Twitter is theoretically crucial for expanding the nonprofit advocacy literature. It is empirically intriguing, requiring a mixed methods approach that combines computational text analysis, network analysis, and stakeholder analysis to address the research problem. Notable findings come from this approach. Our analyses showed that while anti-groups might not be frequent tweeters, their voices seem highly reciprocal and diffused on Twitter. Relatively high semantic similarities between messages originating from climate contrarian nonprofits and bot-like accounts are uncovered. This paper demonstrates methodological innovation and generates exciting theoretical insights into the roles of nonprofit conversation leaders in climate discourse.