Abstract: In the demonstration of citizen science projects, researchers need to explain the project budget in detail, including the overall financing amount, specific budget items, and budget’s description. Based on the 850 citizen science projects and 3,356 budget items from the well-known public science platform—Experiment, this manuscript conducted three studies: (1) overall budget setting; (2) budget item setting; (3) budget text description analysis. Data mining, text mining, and econometric model are used to conduct a detailed study on the budget of citizen science projects and the impact on public willingness to participate. The empirical study shows that the overall amount has a positive impact on the public’s willingness to participate. And the richer the budget items, the more public participated in the campaign. A detailed description of the budget text expands the scale of participants and the amount of funds mobilized, but this effect presents an inverted U-shaped effect. The readability of the budget significantly increases the public's willingness to participate in citizen science projects. The subjective description of the budget text (relative to objective description) reduces the attractiveness of the project and has an inverted U-shaped effect; while relative to predictive description, factual description in the budget significantly increases the attractiveness of the project. This study shows the impact of budgets on citizen science and provides theoretical basis and practical reference for citizen science researchers to generate attractive budgets.