In 2011, China's Internet population reached over half a billion users and the popular Twitter-like social networking service, Weibo, has been adopted by half of the users since its launch in August 2009. Given the potential of the Internet to facilitate a civic culture in the authoritarian state, the use of Weibo and its effects on citizens' political attitudes and behaviors are of important concern. A survey of 499 Weibo users found that intensity of use was related to increased willingness to express opinions about government and politics, the perception that one has the ability to participate in politics, and feelings that the government is not responsive to the demands of citizens. Moreover, the above relationships were moderated by the motivations of Weibo use, such that information motives strengthened the relationships while entertainment motives weakened the relationships. 相似文献
Whether teachers maintain their expectation bias for students over time is crucial for understanding self-fulfilling prophecy effects. However, the stability of teacher expectation bias has been largely ignored in the literature. We examined the stability of teacher expectation bias across a sample of teachers and the change trajectories of teacher expectation bias across high-, medium-, and low-expectation teacher groups across all teachers and in the curriculum areas of mathematics, Chinese, and English. Our analyses were based on two-year longitudinal data with four time points from 567 Chinese senior high school students and their 50 teachers. The results showed that across all teachers, teacher expectation bias at the individual student level was dynamic over time. That is, teachers seemed to adjust their initial expectation bias in the first few months but then maintained the adjusted expectation bias afterwards. However, when students moved from Grade 11 to Grade 12 (the last year of high school), teachers seemed to change their expectation bias again. The evidence from HLM analyses further supported these results. That is, all the high- and low-expectation teachers alleviated their initial expectation bias significantly in the first six months and then adhered to their adjusted expectation bias. However, when students moved to the last year of high school, some high- and low-expectation teachers’ expectation biases were volatile again. Nevertheless, most high- and low-expectation teachers (except for Chinese low-expectation teachers) tended to either over-estimate or under-estimate their students across two school years. Further, compared to Chinese and mathematics teachers, English teachers’ biases seemed to be even more stable. Our findings suggested that some teachers consistently over- or under-estimated their students over an extended time period and this could have implications for student outcomes.
Recently, cross-cultural facial-expression recognition has become a research hotspot, and a standardised facial-expression material system can significantly help researchers compare and demonstrate the results of other studies. We developed a facial-expression database of Chinese Han, Hui and Tibetan ethnicities. In this study, six basic human facial expressions (and one neutral expression) were collected from 200 Han, 220 Hui and 210 Tibetan participants who lived in these regions. Four experts on each ethnicity evaluated the facial-expression images according to the expressions, and only those achieving inter-rater agreement were retained. Subsequently, 240 raters evaluated these images according to the seven emotions and rated the intensity of the expressions. Consequently, 2980 images were included in the database, including 930 images of Han individuals, 962 images of Hui individuals and 1088 images of Tibetan individuals. In conclusion, the facial-expression database of Chinese Han, Hui and Tibetan people was representative and reliable with a recognition rate of over 60%, making it well-suited for cross-cultural research on emotions. 相似文献