228 research outputs found

    Structured Imaginings: Social Media as a Tool to Reduce Intergroup Prejudice

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    Based on intergroup contact theory, we conducted a social media campaignto improve the relationship between Chinese sojourners and Singaporeans. We foundthat perceived discrimination fully mediated the effects of face-to-face contact aswell as imagined contact on intergroup prejudice. An investigation of joint effectsshowed that, for the campaign audience, online contact campaign, instead of faceto-face contact, significantly reduced their perceived discrimination, which in turnreduced intergroup prejudice. We discuss explanations for the impact of social mediaon intergroup relationships and implications of targeted social media campaigns in thecontext of a growing crisis in global immigration.<br/

    Discovering Organizational Correlations from Twitter

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    Organizational relationships are usually very complex in real life. It is difficult or impossible to directly measure such correlations among different organizations, because important information is usually not publicly available (e.g., the correlations of terrorist organizations). Nowadays, an increasing amount of organizational information can be posted online by individuals and spread instantly through Twitter. Such information can be crucial for detecting organizational correlations. In this paper, we study the problem of discovering correlations among organizations from Twitter. Mining organizational correlations is a very challenging task due to the following reasons: a) Data in Twitter occurs as large volumes of mixed information. The most relevant information about organizations is often buried. Thus, the organizational correlations can be scattered in multiple places, represented by different forms; b) Making use of information from Twitter collectively and judiciously is difficult because of the multiple representations of organizational correlations that are extracted. In order to address these issues, we propose multi-CG (multiple Correlation Graphs based model), an unsupervised framework that can learn a consensus of correlations among organizations based on multiple representations extracted from Twitter, which is more accurate and robust than correlations based on a single representation. Empirical study shows that the consensus graph extracted from Twitter can capture the organizational correlations effectively.Comment: 11 pages, 4 figure

    Research on the Application Strategy of Virtual Reality Technology under the Background of Media Integration -- Take Chinese Minnan Culture Short Video as an Example

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    In this study, an experiment was designed to verify the communication effects and impacts of virtual reality technology on the viewers of a short video on Minnan cultural content. A control experiment and a questionnaire survey were chosen as the main research methods. According to the requirements of the experiment, the research subjects meeting the requirements were selected and divided into the control group and the experimental group. At the end of the experiment, a questionnaire survey was conducted on all the participants. The results and data of the questionnaire were analyzed at the end.By analyzing the data from the results of the questionnaire and with almost similar other variables in the control group, the minor effects of some subjective and objective factors on the experiment were excluded. The samples of the two groups showed significant differences in all eight items of the questionnaire, including the degree of interest in the content of the short videos, the richness of the content of the short videos, the rating of the degree of integration of the traditional culture and the short videos, the rating of the sense of visual experience and satisfaction with the content of this part of the short videos, the willingness to create this kind of short videos, the likelihood of recommending this kind of short videos to your family members or friends, the complete explanation of the connotation of traditional culture by using the short videos, and whether or not it will attract you to watch the similar content the next time, and the question of whether the traditional culture is fully explained through the short videos.It was found by analyzing the result data of this experiment and the questionnaire survey conducted after the experiment. Compared with Group B who watched the short video of Minnan culture supported by virtual reality technology, the audience of Group A had a better sense of video viewing and content experience, and gained a better viewing and using experience. This method makes traditional culture better disseminated and presented with the help of virtual reality technology. Therefore, we believe that combining virtual reality technology with short videos of Minnan culture can better spread the traditional culture of Minnan. And virtual reality technology has the characteristics of low cost and easy to operate. It is convenient for short video creators to choose and create

    Research on the External Communication of Chinese Culture Empowered by Short Videos in Rural China -- Take the Short Video Content of YouTube Platform as an Example

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    Using YouTube as the platform and rural short videos as the entry point, this study investigates how Chinese rural short videos empower the external dissemination of Chinese culture on the YouTube platform. By using comparative analysis and content analysis research methods to select samples and construct categories, the aim is to compare rural and non rural themed Chinese short videos, as well as the similarities and differences in text structure and symbol types between Chinese rural short videos and foreign rural short videos, to analyze the empowerment of rural elements combined with different themes, and to summarize the dissemination content characteristics of Chinese rural short videos that have successfully gained popularity on the YouTube platform

    Passive Human Sensing Enhanced by Reconfigurable Intelligent Surface: Opportunities and Challenges

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    Reconfigurable intelligent surfaces (RISs) have flexible and exceptional performance in manipulating electromagnetic waves and customizing wireless channels. These capabilities enable them to provide a plethora of valuable activity-related information for promoting wireless human sensing. In this article, we present a comprehensive review of passive human sensing using radio frequency signals with the assistance of RISs. Specifically, we first introduce fundamental principles and physical platform of RISs. Subsequently, based on the specific applications, we categorize the state-of-the-art human sensing techniques into three types, including human imaging,localization, and activity recognition. Meanwhile, we would also investigate the benefits that RISs bring to these applications. Furthermore, we explore the application of RISs in human micro-motion sensing, and propose a vital signs monitoring system enhanced by RISs. Experimental results are presented to demonstrate the promising potential of RISs in sensing vital signs for manipulating individuals. Finally, we discuss the technical challenges and opportunities in this field

    Towards Layer-Selective Quantum Spin Hall Channels in Weak Topological Insulator Bi4Br2I2

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    Weak topological insulators, constructed by stacking quantum spin Hall insulators with weak interlayer coupling, offer promising quantum electronic applications through topologically nontrivial edge channels. However, the currently available weak topological insulators are stacks of the same quantum spin Hall layer with translational symmetry in the out-of-plane direction, leading to the absence of the channel degree of freedom for edge states. Here, we study a candidate weak topological insulator, Bi4Br2I2, which is alternately stacked by three different quantum spin Hall insulators, each with tunable topologically non-trivial edge states. Our angle-resolved photoemission spectroscopy and first-principles calculations show that an energy gap opens at the crossing points of different Dirac cones correlated with different layers due to the interlayer interaction. This is essential to achieve the tunability of topological edge states as controlled by varying the chemical potential. Our work offers a perspective for the construction of tunable quantized conductance devices for future spintronic applications
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