<p>The purpose of this study is to explore the influence of different emotional states and help-seeking types on internet altruistic behavior (IAB) in a sample of Chinese undergraduates. A total of 118 participants (aged 18 to 25) completed two questionnaires and online experiments assessing their altruistic beliefs, internet altruistic behavior, and future-internet altruistic behavior when confronted with two emotional states (gratitude vs. Indebtedness) and two help-seeker types (benefactor vs. Stranger). SPSS 21.0 and Amos 24.0 were used to analyze the data. The results showed that (1) The interaction between emotional states and help-seeker types was significant, the gratitude emotional groups were more likely to engage in internet altruistic behavior toward the benefactor (someone who had helped them), while in the indebted emotional state, subjects were more likely to engage in future-internet altruistic behavior toward a stranger (someone who had asked for help for the first time). (2) In the case of a benefactor, gratitude significantly predicted internet altruistic behavior. In the case of a stranger, indebtedness positively predicted internet altruistic behavior, and further positively predicted future-internet altruistic behavior. The results of this study are helpful for understanding the mechanism of network altruism and have some reference value for maintaining the stability and harmony of the network environment.</p>