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Abstract
This study investigates the effect of political misinformation as propaganda on the legitimacy of the Chinese government. A survey experiment (n = 2,236) was conducted to analyse the effect of positively spun misinformation on citizens' perceptions and support for the government on two pivotal issues: the economy and air pollution. Results show that spreading positively spun misinformation is beneficial to the regime, as it leads to positive perceptions of the issue and increased support for the government. Interestingly, even when misinformation is exposed through credibly sourced corrections, trust and support for the government remain as high or higher than for the control groups. These effects are significant and hold constant in two issue types, underscoring the strategic value of disseminating positively spun yet false information in China. These findings have rich implications for studies of misinformation and fact-checking in general and China's information politics in particular.

The Chinese government is fond of invoking the 'hurt feelings of 1.4 billion Chinese citizens' to protest foreign actions and policies. However, this rhetoric might be nothing more than propaganda and attempts to leverage nationalist sentiment. How much do citizens in China actually care about issues completely unrelated to their daily livelihoods? To answer this, the study employs a representative survey to investigate the extent to which rhetoric about 'hurt feelings' is consistent with public opinion on four contemporary socio-political disputes involving the NBA, Marriott International, Mercedes-Benz and the city of Prague. Across the scenarios, we found that the Chinese government did not exaggerate the displeasure of audiences—citizens are aware of the cases, were indeed upset by them and advocated for retaliatory measures that were surprisingly more forceful than those adopted in reality. These emotions were largely driven by nationalistic sentiment rather than personal experiences or encounters, suggesting the success of state propaganda in steering the public opinion toward outcomes favourable to the state. These findings support recent studies highlighting the peculiar case of rising nationalism in China, and have important implications for the impact of public opinion on Chinese policymaking.

AbstractThe present study aims to examine the influence of perceived social media marketing activities (SMMAs) on the consumer‐based brand equity and brand love and to analyze the mediating role of E‐brand experience (EBE) between SMMAs and brand equity and between SMMAs and brand love. The data for the present study is collected from 441 Chinese consumers having exposure to the social media brand page through a structured questionnaire. The data is analyzed through IBM SPSS AMOS 26 by performing structural equation modeling. Results of the present research show that the positively perceived SMMAs have a great potential to enhance the consumer‐based brand equity as well as brand love. Furthermore, it is found that the EBE serves as the significant mediating variable between perceived SMMAs and brand love however, it does not serve as the significant mediating variable between perceived SMMAs and brand equity. The current study is of great significance in theoretical as well as practical terms because it will help researchers, marketers, and policymakers to understand the contribution of social media marketing towards different consumer‐based branding outcomes, for example, brand equity, brand love, and brand experience of Chinese consumers. Hence, the Chinese firms will be able to make better decisions and actions regarding those outcomes.

Specific transmitter identification (SEI) is a technology that uses a received signal to identify to which individual radiation source the transmitted signal belongs. It can complete the identification of the signal transmitter in a non-cooperative scenario. Therefore, there are broad application prospects in the field of wireless-communication-network security, spectral resource management, and military battlefield-target communication countermeasures. This article demodulates and reconstructs a digital modulation signal to obtain a signal without modulator distortion and power-amplifier nonlinearity. Comparing the reconstructed signal with the actual received signal, the coefficient representation of the nonlinearity of the power amplifier and the distortion of the modulator can be obtained, and these coefficients can be used as the fingerprint characteristics of different transmitters through a convolutional neural network (CNN) to complete the identification of specific transmitters. The existing SEI strategy for changing the modulation parameters of a test signal is to mix part of the test signal with the training signal so that the classifier can learn the signal of which the modulation parameter was changed. This method is still data-oriented and cannot process signals for which the classifier has not been trained. It has certain limitations in practical applications. We compared the fingerprint features extracted by the method in this study with the fingerprint features extracted by the bispectral method. When SNR < 20 dB, the recognition accuracy of the bispectral method dropped rapidly. The method in this paper still achieved 86% recognition accuracy when SNR = 0 dB. When the carrier frequency of the test signal was changed, the bispectral feature failed, and the proposed method could still achieve a recognition accuracy of about 70%. When changing the test-signal baud rate, the proposed method could still achieve a classification accuracy rate of more than 70% for four different individual ...