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Copyright of Journal of Academic Library & Information Science is the property of Anhui University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The interaction and diversification of different behavior patterns of individual communication sources in cyberspace make the crisis evolution increasingly complex. Based on the activity and attitude of individual communication sources, a nonlinear dynamic system is obtained, and numerical simulation is carried out in combination with model threshold, and a co performance model of strong relationship and weak relationship social platform is constructed. The theoretical analysis is verified by numerical simulation on scale-free networks, and the propagation and evolution characteristics of strong and weak social platforms under different settings are discussed from the aspects of the heterogeneity of positive information dissemination sources' propagation ability, information dissemination sources' enthusiasm, information dissemination sources' heterogeneity and inter layer activity heterogeneity. [ABSTRACT FROM AUTHOR]

Under the concept of integrating science, industry, and education, curriculum reform on “modern analytical technology” has been carried out. Mainly based on intra-school, inter-school and school-enterprise collaborations, high-quality teacher resources are shared. By integrating frontier science and practical production, the teaching content is greatly enriched. A multi-dimensional teaching mode is employed, including teacher-led instruction, studentdriven inquiry, a blend of theoretical learning with virtual and practical experiments, collaboration of online and offline resources, and teaching supported by social media platforms. Additionally, a diversified evaluation system is conducted to promote both learning and teaching. The practical results indicate a marked improvement in teaching quality, significantly fostering the development of versatile talents adept in theoretical knowledge, scientific research, and practical application. [ABSTRACT FROM AUTHOR]

Copyright of Forensic Science & Technology is the property of Institute of Forensic Science, Ministry of Public Security and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Nuclear Safety is the property of Nuclear & Radiation Safety Center and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In order to solve the problem that it is difficult to make full use of graphic and text information in multimodal news detection in social media news and to explore efficient multimodal information interaction methods, an adaptive multimodal feature fusion model for fake news detection is proposed. First, the model extracts and represents news text semantic features, text emotional features, and image-text semantic difference features; then, weighted splicing and fusion of various features are performed by adding adaptive weight parameters to reduce the redundancy introduced by model splicing; finally, the fusion feature is sent to the classifier. Experimental results show that the proposed model outperforms the current state-of-the-art models in evaluation indicators such as F1 score. It effectively improves the performance of fake news detection and provides strong support for the detection of fake news in social media. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Soochow University Philosophy & Social Sciences Edition is the property of Soochow University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Soochow University Philosophy & Social Sciences Edition is the property of Soochow University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In response to of traditional cultural advertising on social media by Guochao brands on consumers' purchasing intentions, a research model between the contew of traditional culture advertisement, perceived valBb and the purchasing intention of Guochao brand consumers was constructed based on the theory of " stimulus-organism-response". The data of 241 valid questionnaires were collected, and path validation was carried out by using stepwise regression analysis and Bootstrap mediation effect analysis. Research has found that " perceived affective value" plays a partial intermediay effecmbmween "quality information" "fan interaction" "product promotion" and purchase intention. " Perceived cognitive value" is partial mediated between the three kinds of traditional culture advertising and purchasH intention. "Perceived experience value" has a complete mediating effect between "quality information" and " fan interaction" and purchase intention, and a partial mediating effect between " product promotion" and purchase intention. [ABSTRACT FROM AUTHOR]

The rapid growth of social media has introduced new concepts and technical approaches for disaster management. This paper reviews the characteristics of social media data and its application potential in disaster management research, providing a new research perspective for the field of disaster management. Taking the impact of Typhoon Doksuri in Fujian Province in 2023 as a case study, this research employs Latent Dirichlet Allocation (LDA) topic modeling to analyze the practical application effectiveness of social media data at different stages of disaster management from three perspectives: the spatiotemporal distribution of posts, trend analysis of different types of entities, and evolution of topic content. These findings indicate that the synchronous relationship between the popularity of related topics on Weibo and the impact of a disaster event confirms the effective application of social media data in disaster management. By monitoring the dynamics of information dissemination on social media, we can determine the occurrence status and impact scope of disasters in real time. During disasters, different user types have different foci. Individual users tend to focus more on the restoration of living facilities and the supply of relief materials, whereas organizational users concentrate on disseminating information about disasters and emergency response measures. The information provided by different types of users can provide a more comprehensive and diversified perspective on disaster perceptions for disaster management. Analysis of the evolution of topic content can reflect the evolution of emergency response dynamics and public attention needs in different cities at different stages of disaster management, thereby developing more practical emergency response strategies. Through the mining and analysis of social media data, this study recognizes the entire process of disaster occurrence from the perspective of social media data, thereby enriching the relevant theoretical and empirical research. Future research could be conducted from perspectives such as utilizing other multisource data, integrating machine learning and deep learning technologies to enhance the accuracy of topic information extraction, and exploring the application of social media data to post-disaster emergency rescue and infrastructure support.

The emergence of digital technology in information fields amidst the conditions of the global post-pandemic crisis has promised a variety of solutions because of its inherent multi-facilities on the one hand. However, because of those as well significant threats have emerged on the other hand, such as hoaxes and fraud. The question of how to make this technology a solution must be lived based on digital literacy. Social adaptation in post-COVID-19 requires strengthening digital literacy to produce the expected social conditions. This research employed a qualitative method based on the interview with 25 LIS students chosen due to their connectivities with current digital literacy issues and the pandemic at five universities in Indonesia. Those students’ voices have been considered enough to represent studied phenomena after investigation. The interview data were analyzed using Miles and Huberman’s three steps of data display, reduction, and verification. The research found that the way of Gen Z society actualizes itself in adjusting to the post-pandemic environment is vital in several aspects that consist of identity, critical reasoning, social participation, and societal empowerment. Besides, digital literacy in the context of social adaptation functions as a means of society, strengthening the position of rights, responsibilities, citizenship, and community safety. The research has successfully discovered the phenomena of those aspects based on in-depth qualitative analysis. Unfortunately, it is limited to the descriptive analysis framed in a narrative condition. Therefore, further research needs to consider the quantitative trends to discover the generation’s adaptability level in encountering the COVID-19 pandemic.

This study proposes an “exposure-value-behavior” framework to understand social media users’ aesthetic information exposure and content sharing by integrating the stimulus-organism-response (S-O-R) theoretical perspective with relevant literature of social media communication, consumer value, and art marketing. The influences of aesthetic experience and socioeconomic status are also examined in the proposed model. After analyzing empirical data of 1,444 representative social media users collected via the 2020 Taiwan Communication Survey, the results show that users’ active acquisition and incidental viewing of aesthetic information are positively related to cognitive and emotional aesthetic values on social media. These two values are likely to foster their aesthetic content sharing online. Furthermore, socioeconomic status positively moderates the relationship between emotional aesthetic value and aesthetic content sharing online. Our findings not only contribute to the theoretical advances of social media marketing, art marketing, and aesthetics communication, but also provide art/aesthetics practitioners with several practical implications. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Health Promotion & Health Education is the property of National Taiwan Normal University, Department of Health Promotion & Health Education and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Academic Library & Information Science is the property of Anhui University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Cross-border e-commerce has become the fastest-growing and most promising new format for overseas trade in China. However due to the geographical and cultural barriers it is a challenging task for domestic cross-border ecommerce to establish a positive brand image in overseas markets. Brand image as the collective representation of consumers' associations with a brand plays a crucial role in brand recognition and communication. This becomes particularly significant in overseas markets where consumers place great emphasis on brand image through highly developed social media. Thus effectively utilizing social media for brand image shaping has turned into a necessary guarantee for the successful trade of cross-border e-commerce brands. Existing research on social media-based brand image shaping primarily revolves around the mechanisms of brand image communication influencing factors in image shaping and related topics. However there is a lack of a comprehensive and unified understanding of the connotation and constituent elements of brand image. The academic community has developed various brand image models from different research perspectives but most of these models are conceptually structured and lack empirical support specific to different industry categories. Additionally there is inconsistency in the structural division of brand image and the weights assigned to each structure are rarely addressed. Research on image shaping for cross-border e-commerce brands within a cross-cultural context is particularly scarce. To elucidate the constitutive dimensions and elements of brand image for cross-border e-commerce brands in China this study first reviewed and analyzed literature on the structure and constituent elements of brand image as well as literature on brand image shaping based on social media. This provided a theoretical framework for the composition of brand image. Next using the well-known cross-border e-commerce brand SHEIN as the research subject this study collected 956 brand promotional images posted on SHEIN' s official Instagram account sheinofficial. Finally the analysis method of grounded theory was employed to guide the coding process on collected images by utilizing the qualitative analysis software of NVivo 11. 0. During this process the main dimensions key elements and approximate content proportions of brand image construction were extracted and a brand image shaping model for cross-border e-commerce brands was shaped. Through the analysis of SHEIN' s brand image shaping strategies this study identified the constitutive dimensions and key elements of brand image for cross-border e-commerce brands. The results indicate that the brand image of cross-border e-commerce includes five core dimensions product characteristics consumer image brand value expression marketing activities and service interaction. Among them the primary portion of brand image is occupied by descriptions of product characteristics that focus on product attributes styles and application scenarios accounting for nearly 60% of content according to the case of SHEIN. The second portion is consumer image focusing on consumer positioning and individuality which constitutes over 30% of content. The combined content of these two dimensions exceeds 90% representing the predominant content for cross-border e-commerce brands in shaping brand image on overseas social media. At the same time the promotion of brand value marketing activities and service interaction between brands and consumers is also an effective supplement in brand image shaping which can narrow the distance between consumers and cross-border e-commerce brands and enhance consumers' brand identity. Moreover in the process of personalizing localizing and internationalizing brand image for cross-border e-commerce symbolic and meaningful elements are extensively employed stimulating consumer brand associations beyond visual brand recognition. This enhances a comprehensive cross-cultural output of brand image. Cross-border e-commerce brands could refer to the mentioned brand image elements and rationally combine them when shaping their brand image through overseas social media. The findings of this study provide practical guidance for other cross-border e-commerce brands in shaping their overseas brand image aid in the high-quality construction of a positive brand image and ensure success in overseas trade. [ABSTRACT FROM AUTHOR]

Artificial Intelligence-Generated Content (AIGC) marks a groundbreaking shift in information creation, driven by advances in Al technologies like Large Language Models (LLM) and Natural Language Processing (NLP). This evolution of AIGC, with its enhanced "human-like" capabilities and creativity, is reshaping the landscape of social information and communication ecosystems. However, from a constructivist perspective, varying social and cultural environments often lead to diverse technological cognitions, potentially deepening the "cognitive distance" between AIGC's technological functionalities and practical application. This gap poses two significant risks: firstly, during the stage of AIGC popularization, public perceptions of its utility remain fluid and prone to influence, potentially leading to misinterpretations of the technology and divergent impacts of technological trajectories and societal outcomes; secondly, current examinations of AIGC lack a cross-contextual cross-platform perspective. Solely interpreting the technology within a single societal context may result in a parochial understanding, shrouded by a "cultural container", which impedes an objective assessment and grasping of the technology's universal value for humanity. Hence, deciphering the cognitive differences in AIGC perceptions across various contexts and identifying the drivers behind these variations are vital for fully releasing the positive social value of this technology. This paper conducts an in-depth analysis of AIGC discussions on Weibo and Twitter across five dimensions: topical trends, thematic modeling, theme evolution, sentiment analysis, and identification of key communicators. By incorporating quantitative analysis tools such as Dynamic Topic Modeling (DTM) and Text Impact Assessment Models, this study not only reveals the dynamic trajectory of AIGC discussions but also identifies key communicators playing pivotal roles in these discussions, offering new insights for related research. Findings indicate that on Weibo, users focus more on the economic and business values of AIGC, emphasizing discussions on the relationship between new technology and economic development, with topic evolution heavily influenced by capital, investment, and market forces. On Twitter, discussions about AIGC are more closely related to technical logic, with many cultural and industrial commentators placing greater emphasis on the technology's impact on industry, ethics, and future imaginations. The research posits that in China. AIGC discussions driven by capital and investment factors represent a situation intertwined with risks and opportunities. The opportunity lies in capital acting as a powerful social force. further accelerating the application and development of AIGC technology in China; the risk involves technology being increasingly infused with capital logic. Finally, the paper suggests that while balancing the economic value and humanistic value of AIGC, caution is needed against the "excessive" intervention of capital and the market in technology cognition and development, to prevent the technology from straying from its original intent of promoting holistic societal development. Additionally, macro-contexts are not static; future research should continue to focus on the structural changes in technology cognition and how these changes might influence the development of new technologies. [ABSTRACT FROM AUTHOR]

In recent years, the frequent occurrence of urban waterlogging disasters caused by extreme rainfall due to climate change has posed a threat to urban water safety and sustainable development in China. Accurately grasping the public opinion and emotions in the disaster-stricken areas is of great importance for improving the situational awareness capabilities of emergency management departments in dealing with waterlogging disasters. In today's era of intelligent networks, the increasing importance of social media as a platform for people to voice their problems and suggestions has made it a major carrier of public sentiment and societal opinion, providing a new avenue for obtaining information about natural disasters. A key technical challenge that needs to be urgently addressed is how to quickly extract urban flood disaster information from social media, and how to perform thematic categorization and sentiment analysis of natural disaster information to accurately grasp the thematic categories of regional disaster situations and public opinion trends. Taking Sina Weibo as an example, this article elaborates on the methods of collecting and pre-processing flood disaster data, and constructs a thematic classification and sentiment analysis model of urban flood disaster information based on FastText to accurately capture the thematic categories and public opinion orientations of disaster-stricken areas. The research results, using the "7.20" heavy rain and flood disaster in Zhengzhou in 2021 as an example show that the methods proposed in this article achieve intelligent extraction and analysis of urban flood disaster data on social media. The theme classification model achieves an F1 score of over 0.80 for the classification prediction of the eight predefined categories, and the sentiment analysis model is generally able to accurately predict data labelled as "negative" in sentiment, which indicates that the FastText-based urban flood disaster information theme classification and sentiment analysis model constructed in this article can meet the needs of urban emergency management departments to dynamically grasp the development of flood disasters and public emotions. It holds significant guiding importance for flood prevention and disaster mitigation planning, calming public emotions, and pinpointing rescue efforts in real time. [ABSTRACT FROM AUTHOR]

As a strategic and policy research and decision-making consulting institution, the international influence of think tanks is an important manifestation of a country's soft power and an important component of its comprehensive national strength in the era of globalization. Enhancing international communication power of think tanks is a key measure for shaping their international influence and an important strategy for a country's external communication. In today's era, international social media, as an important channel for think tanks to spread abroad, strengthening the communication power of Chinese think tanks in international social media is the main direction to enhance their international influence. This study analyzes the opportunities brought by the social media era to the international dissemination of Chinese think tanks, compares the differences between current Chinese think tanks and internationally renowned think tanks by using international social media for external dissemination, and then proposes effective approaches to enhance the international dissemination capacity of Chinese think tanks in the social media era based on the Chinese context. The results will provide reference and inspiration for the construction of international communication for Chinese think tanks, especially for enhancing their international communication power through international social media. This study finds that there is a certain gap between Chinese think tanks and foreign think tanks in terms of international communication power. In the social media era, it is recommended that Chinese think tanks consider the international communication ability of think tanks as an important component of their core business capability system, build and strengthen the four key networks of think tanks: ideology, resources, information, dissemination, and implement combination strategy of internationalization, openness, academic circle, circle of friends, ideological power, macro issues, social media, popular broadcasters to enhance the international communication power of think tanks. [ABSTRACT FROM AUTHOR]

Objective To explore the mutual predictive relationship between mobile social media Fear of Missing Out (FoMO) and Mobile Phone Addiction (MPA) among vocational college students, to provide scientific reference for the prevention and education of college students' mobile phone addiction behavior. Methods With the use of cluster random sampling, 1 000 col-lege students from a vocational college in Shenzhen were investigated by mobile social media FoMO scale and MPA scale in September 2021 (Tl) and December 2021 (T2). The data were analyzed by cross-lag regression analysis. Results There was a significant positive correlation including the synchronous correlation and the consecutive correlation between mobile social media FoMO and MPA (P<0.05). Mobile social media FoMO Tl positively predicted MPA T2 (β=0.25, P<0.001), whereas MPA Tl did not predict mobile social media FoMO T2 (β=-0.01, P=0.76). Three dimensions of mobile social media FoMO could predict MPA synchronously (P<0.05) and behavioral performance Tl could predict MPA T2 consecutively (P<0.05). Two dimensions of MPA, loss of control and avoidance, could predict mobile social media FoMO synchronously (P<0.05), and avoidance Tl could predict mobile social media FoMO T2 consecutively (P<0.05). Conclusion Vocational college students with higher FoMO are more likely to have MPA. There is a one-way predictive relationship between mobile social media FoMO and MPA. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Hubei Open Vocational College is the property of Journal of Hubei Open Vocational College Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

本研究以25 歲至34 歲的女性為研究對象，其目的在於瞭解使用者 使用手機進行修圖的動機、修圖行為與過程遇到的困難，接著以Goffman的戲劇理論為基礎，觀察使用者在社群媒體上的展演（前台）與表面之下的修圖行為（後台），並且分析其在社群媒體上如何透過修圖進行形象管理、與現實生活中的落差程度，最後探討粉絲的回饋對使用者造成的影響。本研究的抽樣方式採便利抽樣及滾雪球抽樣。為了達到研究目的，本研究採用質性研究中的照片引談法（photo-elicitation），請受訪者在訪談時提供五張兩年內 最滿意且曾經發布在社群媒體上的修圖人像照，依照訪談大綱針對這五張照片進行半結構式深度訪談。 This study focuses on women aged 25 to 34 as participants, aiming to understand the motivations, retouching behaviors, and difficulties encountered by users when retouching on their mobile p hones. Drawing on Goffman’s dramaturgical theory, the study observes users’ public displays on social media (frontstage) and the retouching behaviors behind the scenes (backstage). Additionally, it analyzes how users manage their image on social media through retouching, the extent of the disparity between online image and real-life image, and explores the impact of followers’ feedback on users. Convenience sampling and snowball sampling were used for participant selection in this study. To achieve the research objectives, the photo-elicitation method of qualitative research was utilized. Participants were asked to provide five retouched portrait photos posted on social media within the past two years during the interview. Semi-structured, in-depth interviews were conducted based on an interview guide focusing on these five photos.

The continuous increase in the number of middle-aged and elderly people in China has provided important opportunities for the development of China's tourism industry. Ecotourism—a green, healthy, and high-quality tourism method—is particularly popular among middle-aged adults. Social media use has been widely integrated into the consumption decisions of middle-aged and elderly Chinese tourists. It is of great significance to clarify the impact of social media on tourism consumer behavior among China's elderly middle class, especially on rising ecotourism consumption. This study conducted in-depth interviews with 26 elderly middle-class ecotourists in China, abstracted the impact path based on grounded theory, and constructed a set of impact path models of social media on the consumer behavior of elderly ecotourism in China's middle class. This study found that, because social media has the characteristics of information and communication, its impact on the ecotourism consumer behavior of China's elderly middle class mainly involves five factors: social media information utility, social media support, social media impact, self-value realization, and spiritual needs satisfaction. These five elements do not exist in isolation but are interrelated and mutually influencing. Among them, social media can help fully display ecotourism information, plus its own brand building, reputation, and other factors. Moreover, social media information utility, social media impact, and social media platform support can help stimulate the willingness of China's elderly middle class to promote the occurrence of consumer behavior. With the support of social media, a good ecological tourism consumption experience will help realize the self-worth of China's elderly middle class and meet their spiritual needs. The realization of self-worth and satisfaction of spiritual needs will further strengthen the impact of social media on the willingness of China's elderly middle class to engage in ecotourism. First, this study shows that China's elderly middle class can conveniently access destination-related health and historical and cultural knowledge through social media, thus strengthening the ecological tourism motivation of this special group. Second, social media have strengthened the emotional bond between China's elderly middle class and others, helping them meet their social and spiritual needs. Third, poetic dwellings are a prominent feature of the elderly middle class in ecotourism, which differs from other forms of tourism under the influence of social media. This study systematically summarizes and combs the influence path of social media on the consumer behavior of ecotourism in China's elderly middle class by using grounded theory for the first time, and expounds on the important influencing factors, which can provide a reference for future research and practice. Concurrently, this article focuses on the impact of social media on the ecotourism consumer behavior of China's elderly middle class and proposes that the realization of self-value and satisfaction of spiritual needs is an important result of their participation in ecotourism behavior under the influence of social media.

With the popularity of digital photography equipment in daily life, photography has emerged as the primary means for people to explore places, document life experiences, and engage in social activities. Taking the Guangzhou youth group as an example, this study combined the research methods of ethnography, field observation, and questionnaire surveys to collect data and analyze the integration of digital photography, social platforms, and daily life. This study discussed how urban photography activities redefine the meaning of places by analyzing their processes, types, and characteristics in the quotidian. The results revealed the following insights: (1) The process and content of everyday urban photography activities are closely related to social platforms and can be divided into three stages: preparation, taking photos, and processing and sharing photos. These three stages are not linear but often intersect, possibly existing simultaneously, and are implemented across platforms. According to the photographic object types, everyday urban photography can be divided into portrait photography, architecture and street landscape photography, and daily life scene photography. (2) Everyday urban photography is characterized as an embodied and emotional process that integrates photographer's expectations, skills, and practices. The visual impact of this process lies in capturing moments and transforming ordinary (close) landscape from a specific time and space into distant and extraordinary scenes. These digital photos, which condense time and space, are no longer the isolated expression of film photos. Instead, with geographical positioning services, they constitute the photographer's personal narrative and movement path on social platforms, containing the photographer's imaginative sense of place, aesthetic concepts, and social relations. (3) The visualization, social attributes, and geotagging of everyday urban photography alter people's perception and experience of places, reshaping the meaning of these locations. Through the interplay of spatial media, geolocation services, and social platforms, photography activities and local experiences are progressively merging. Editable images and interactive social platforms overlay on geotagged places, allowing people to describe places and their activities in novel ways. Consequently, the original attributes of a place may be weakened, emphasizing visual attributes and media significance. Places become backgrounds in portraits, venues for of self-presentation, and geotags on social media. Therefore, places achieve the coexistence of virtual and realistic meanings. The reason for this phenomenon is the development of social media, the growing social demand for self-expression or exhibition, and the expanded accessibility of expression channels. The research results introduce the perspective of daily life into digital photography research, enriching the visual and social media research content of human geography in China.

The continuous increase in the number of middle-aged and elderly people in China has provided important opportunities for the development of China's tourism industry. Ecotourism--a green, healthy, and highquality tourism method--is particularly popular among middle-aged adults. Social media use has been widely integrated into the consumption decisions of middle-aged and elderly Chinese tourists. It is of great significance to clarify the impact of social media on tourism consumer behavior among China's elderly middle class, especially on rising ecotourism consumption. This study conducted in-depth interviews with 26 elderly middleclass ecotourists in China, abstracted the impact path based on grounded theory, and constructed a set of impact path models of social media on the consumer behavior of elderly ecotourism in China's middle class. This study found that, because social media has the characteristics of information and communication, its impact on the ecotourism consumer behavior of China's elderly middle class mainly involves five factors: social media information utility, social media support, social media impact, self-value realization, and spiritual needs satisfaction. These five elements do not exist in isolation but are interrelated and mutually influencing. Among them, social media can help fully display ecotourism information, plus its own brand building, reputation, and other factors. Moreover, social media information utility, social media impact, and social media platform support can help stimulate the willingness of China's elderly middle class to promote the occurrence of consumer behavior. With the support of social media, a good ecological tourism consumption experience will help realize the self-worth of China's elderly middle class and meet their spiritual needs. The realization of self-worth and satisfaction of spiritual needs will further strengthen the impact of social media on the willingness of China's elderly middle class to engage in ecotourism. First, this study shows that China's elderly middle class can conveniently access destination-related health and historical and cultural knowledge through social media, thus strengthening the ecological tourism motivation of this special group. Second, social media have strengthened the emotional bond between China's elderly middle class and others, helping them meet their social and spiritual needs. Third, poetic dwellings are a prominent feature of the elderly middle class in ecotourism, which differs from other forms of tourism under the influence of social media. This study systematically summarizes and combs the influence path of social media on the consumer behavior of ecotourism in China's elderly middle class by using grounded theory for the first time, and expounds on the important influencing factors, which can provide a reference for future research and practice. Concurrently, this article focuses on the impact of social media on the ecotourism consumer behavior of China's elderly middle class and proposes that the realization of self-value and satisfaction of spiritual needs is an important result of their participation in ecotourism behavior under the influence of social media. [ABSTRACT FROM AUTHOR]

With the popularity of digital photography equipment in daily life, photography has emerged as the primary means for people to explore places, document life experiences, and engage in social activities. Taking the Guangzhou youth group as an example, this study combined the research methods of ethnography, field observation, and questionnaire surveys to collect data and analyze the integration of digital photography, social platforms, and daily life. This study discussed how urban photography activities redefine the meaning of places by analyzing their processes, types, and characteristics in the quotidian. The results revealed the following insights: (1) The process and content of everyday urban photography activities are closely related to social platforms and can be divided into three stages: preparation, taking photos, and processing and sharing photos. These three stages are not linear but often intersect, possibly existing simultaneously, and are implemented across platforms. According to the photographic object types, everyday urban photography can be divided into portrait photography, architecture and street landscape photography, and daily life scene photography. (2) Everyday urban photography is characterized as an embodied and emotional process that integrates photographer's expectations, skills, and practices. The visual impact of this process lies in capturing moments and transforming ordinary (close) landscape from a specific time and space into distant and extraordinary scenes. These digital photos, which condense time and space, are no longer the isolated expression of film photos. Instead, with geographical positioning services, they constitute the photographer's personal narrative and movement path on social platforms, containing the photographer's imaginative sense of place, aesthetic concepts, and social relations. (3) The visualization, social attributes, and geotagging of everyday urban photography alter people's perception and experience of places, reshaping the meaning of these locations. Through the interplay of spatial media, geolocation services, and social platforms, photography activities and local experiences are progressively merging. Editable images and interactive social platforms overlay on geotagged places, allowing people to describe places and their activities in novel ways. Consequently, the original attributes of a place may be weakened, emphasizing visual attributes and media significance. Places become backgrounds in portraits, venues for of self-presentation, and geotags on social media. Therefore, places achieve the coexistence of virtual and realistic meanings. The reason for this phenomenon is the development of social media, the growing social demand for self-expression or exhibition, and the expanded accessibility of expression channels. The research results introduce the perspective of daily life into digital photography research, enriching the visual and social media research content of human geography in China. [ABSTRACT FROM AUTHOR]

Real-time information of the process of typhoon events serves as important reference for disaster emergency. At the era of big data, microblog text has been gradual applied to the prevention, preparation, response and recovery of disaster management. However, previous studies mostly focused on the acquisition of different disaster information in microblog text, while ignoring the structural integration of this fragmented information, and thus cannot reflect the dynamic process of typhoon events. This paper constructs a typhoon event information model considering the multi-granularity and dynamic characteristics of information from the spatio-temporal perspective. First, the multi-granularity representation model of the typhoon disaster event process is constructed by taking the object as the basic unit of the event and the state as the basis of the multi-scale measurement of the event process. Second, a typhoon event process mining method based on social media is proposed. Through the information aggregation method of multi-level semantic constraints, different state features of objects under specific spatio-temporal conditions are extracted. Besides, the evolution trajectories of different objects are analyzed based on the sequence of states connected in space-time, and the different evolution features of event processes are expressed from multi-dimensions. Third, taking the typhoon "Lekima" disaster event in 2019 as an example, the rationality of the multi-granularity typhoon disaster event process model and the effectiveness of the information aggregation method are verified in practical application. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Clinical Nursing in Practice is the property of Journal of Clinical Nursing in Practice (Editorial Board, Shanghai Jiao Tong University Press) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

With the rapid development of Internet communication and digital technologies, government can create and share travel information through social media. The purpose of this study is to understand how tourism attraction is constructed by government departments on the social media and how social media users perceive these tourism attractions. The technique of text corpus was utilized to analyze the posting messages elected from Tainan City Government’s Facebook page─@traveltainan. The research results reveal that 10 types of tourism attraction were identified. In addition, the interactive responses on @traveltainan were also examined in terms of “likes,” “comments,” and “shares.” The findings and suggestions are proposed for future studies and implementations about tourism policy and planning in the local area. (Article content in Chinese with English extended abstract)

[Purpose/Significance] With the popularity and development of social media, Weibo has become an important information transmission platform. Understanding the law of emergency information transmission based on the characteristics of Weibo users is of great significance for grasping the development trend of events, evaluating the influence of information, and formulating effective response strategies. [Methods/Process] Selecting typical cases of four types of emergencies (natural disasters, accidents, public health events, and social security events) as the research objects, this paper crawled the user data of the information transmission on the Weibo platform and analyzed the distributions of user gender, user geographical distribution, user attention and fan number and user type of the information transmission for these events, in order to reveal the differences and similarities of the user characteristics and transmission laws for the four types of emergencies. [Results/Conclusions] As for the similarities of the user characteristics and transmission laws, first, the audiences of the four types of emergencies have obvious regional characteristics, and the users in economically developed provinces generally have a higher attention rate. Second, the transmission users of all types of emergencies are generally concentrated on active users and grassroot users with strong and weak propagation power respectively, accompanied by a small number of authoritative users with strong influence. However, there are differences in the broadness and gender distribution of the audiences for different types of emergencies. First, natural disasters have a wider spread of the audiences and relatively higher attentiveness; accidents and public health events tend to be local events with relatively low attentiveness, whose audiences may be more concentrated in and around the affected areas; the audience spread of social security events is scattered depending on the nature of the event, the scope of influence as well as the communication channels. Second, female users pay more attention to natural disasters, public health events and social security events, while male users pay more attention to accidents, which can be attributed to the different emotional orientations and psychological characteristics associated with users of different genders. These results provide insights for the formulation of targeted guidance strategies for information dissemination. In future studies, we will collect data on other social media platforms, obtain more information on user characteristics through different channels, and introduce more in-depth analysis methods and indicators to comprehensively reveal the dynamic mechanisms of emergency information dissemination, thus improving the accuracy and effectiveness of the research.

[Purpose/Significance] With the development of the Internet and the popularization of smart devices, the scale of social media users around the world is increasing, and social media has become the center of people's communication, but it also produces a series of negative problems. Digital stress refers to the painful subjective experience of users caused by different stressors in the process of heavy use of social media. At present, most studies on social media focus on users' social media behaviors. In recent years, digital stress has gradually attracted the attention of researchers. However, most studies discuss the impact of single variables on results from the perspective of linear regression, and few studies focus on the complex mechanism behind digital stress. This study aims to explore the influencing factors and mechanism of social media users' digital stress in order to further understand the path of digital stress and provide reference for relieving users' digital stress. [Method/Process] This paper adopted a mixed research method combining grounded theory and qualitative comparative analysis. First, 21 users were selected as interview objects, interview data were coded, and theoretical models were constructed. Second, a questionnaire was designed according to the theoretical model and 262 questionnaires were collected. The fuzzy set qualitative comparative analysis (fsQCA) method was used to analyze the questionnaire data and explore the formation path of social media users' digital stress. [Results/Conclusions] There were 9 influencing factors of social media users' digital stress: overuse, technology intrusion, information overload, communication load, fear of missing out, approval anxiety, social expectation, digital coping skills and self-control. They were classified into four dimensions: technology, social, environment and personal characteristics. There are six paths that trigger digital stress, among which overuse and fear of missing out are the key factors leading to high-level digital stress, technology intrusion and information overload are the important conditions for digital stress, and digital coping skills and self-control have no significant effects. At the same time, this paper has some limitations. First, the end point and result variable of this paper is the digital pressure of social media users, focusing on the factors that affect the generation of digital pressure and how the combination of factors and variables ultimately leads to the generation of results. Less attention is paid to user behavior. Although some attention is paid in the interview, antecedent variables are emphasized in the analysis. Future studies can take users' social media usage behavior into consideration to explore the whole process formation mechanism of influencing factors-digital pressure-user behavior. In addition, most of the research samples are young users of social media, and users of other age groups are less involved. In the future, the research samples should be further expanded to improve the universality of the research conclusions.

With the rapid development of Internet communication and digital technologies, government can create and share travel information through social media. The purpose of this study is to understand how tourism attraction is constructed by government departments on the social media and how social media users perceive these tourism attractions. The technique of text corpus was utilized to analyze the posting messages elected from Tainan City Government's Facebook page─@traveltainan. The research results reveal that 10 types of tourism attraction were identified. In addition, the interactive responses on @traveltainan were also examined in terms of "likes," "comments," and "shares." The findings and suggestions are proposed for future studies and implementations about tourism policy and planning in the local area. [ABSTRACT FROM AUTHOR]

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

[Purpose/Significance] With the development of the Internet and the popularization of smart devices, the scale of social media users around the world is increasing, and social media has become the center of people's communication, but it also produces a series of negative problems. Digital stress refers to the painful subjective experience of users caused by different stressors in the process of heavy use of social media. At present, most studies on social media focus on users' social media behaviors. In recent years, digital stress has gradually attracted the attention of researchers. However, most studies discuss the impact of single variables on results from the perspective of linear regression, and few studies focus on the complex mechanism behind digital stress. This study aims to explore the influencing factors and mechanism of social media users' digital stress in order to further understand the path of digital stress and provide reference for relieving users' digital stress. [Method/Process] This paper adopted a mixed research method combining grounded theory and qualitative comparative analysis. First, 21 users were selected as interview objects, interview data were coded, and theoretical models were constructed. Second, a questionnaire was designed according to the theoretical model and 262 questionnaires were collected. The fuzzy set qualitative comparative analysis (fsQCA) method was used to analyze the questionnaire data and explore the formation path of social media users' digital stress. [Results/Conclusions] There were 9 influencing factors of social media users' digital stress: overuse, technology intrusion, information overload, communication load, fear of missing out, approval anxiety, social expectation, digital coping skills and self-control. They were classified into four dimensions: technology, social, environment and personal characteristics. There are six paths that trigger digital stress, among which overuse and fear of missing out are the key factors leading to high-level digital stress, technology intrusion and information overload are the important conditions for digital stress, and digital coping skills and self-control have no significant effects. At the same time, this paper has some limitations. First, the end point and result variable of this paper is the digital pressure of social media users, focusing on the factors that affect the generation of digital pressure and how the combination of factors and variables ultimately leads to the generation of results. Less attention is paid to user behavior. Although some attention is paid in the interview, antecedent variables are emphasized in the analysis. Future studies can take users' social media usage behavior into consideration to explore the whole process formation mechanism of influencing factors-digital pressure-user behavior. In addition, most of the research samples are young users of social media, and users of other age groups are less involved. In the future, the research samples should be further expanded to improve the universality of the research conclusions. [ABSTRACT FROM AUTHOR]

[Purpose/Significance] With the popularity and development of social media, Weibo has become an important information transmission platform. Understanding the law of emergency information transmission based on the characteristics of Weibo users is of great significance for grasping the development trend of events, evaluating the influence of information, and formulating effective response strategies. [Methods/Process] Selecting typical cases of four types of emergencies (natural disasters, accidents, public health events, and social security events) as the research objects, this paper crawled the user data of the information transmission on the Weibo platform and analyzed the distributions of user gender, user geographical distribution, user attention and fan number and user type of the information transmission for these events, in order to reveal the differences and similarities of the user characteristics and transmission laws for the four types of emergencies. [Results/Conclusions] As for the similarities of the user characteristics and transmission laws, first, the audiences of the four types of emergencies have obvious regional characteristics, and the users in economically developed provinces generally have a higher attention rate. Second, the transmission users of all types of emergencies are generally concentrated on active users and grassroot users with strong and weak propagation power respectively, accompanied by a small number of authoritative users with strong influence. However, there are differences in the broadness and gender distribution of the audiences for different types of emergencies. First, natural disasters have a wider spread of the audiences and relatively higher attentiveness; accidents and public health events tend to be local events with relatively low attentiveness, whose audiences may be more concentrated in and around the affected areas; the audience spread of social security events is scattered depending on the nature of the event, the scope of influence as well as the communication channels. Second, female users pay more attention to natural disasters, public health events and social security events, while male users pay more attention to accidents, which can be attributed to the different emotional orientations and psychological characteristics associated with users of different genders. These results provide insights for the formulation of targeted guidance strategies for information dissemination. In future studies, we will collect data on other social media platforms, obtain more information on user characteristics through different channels, and introduce more in-depth analysis methods and indicators to comprehensively reveal the dynamic mechanisms of emergency information dissemination, thus improving the accuracy and effectiveness of the research. [ABSTRACT FROM AUTHOR]

In recent years, it has become a common phenomenon for WeChat users to set "visible for only three days" permission in Moments. The coexistence of "open" and "closed" represented by it presents more complex social interaction behaviors in social media. Based on previous research about Goffman's "self-presentation" theory and the "Johari Window", an interpersonal communication model, this paper finds that the phenomenon of "only three days" actually weakens the connecting function of social media. In the retreat of self-presentation, the media communication behavior returns to the imagination of human communication itself. To some extent, this weakens the technical characteristics of social media, and accelerates the coupling of the contradiction between technology and society in the interactive framework of communication separation, presentation of imbalance and discourse imagination. This conclusion helps us to rethink the possibility of media use behavior and new communication embedded in social relations. [ABSTRACT FROM AUTHOR]

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Copyright of Psychological Science is the property of Psychological Science Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Cyber Security & Data Governance is the property of Editorial Office of Information Technology & Network Security and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In order to promote users' sharing behavior of green information about clothing in social media, this study investigates the factors influencing the sharing behavior of green information about clothing. The variables of apparel green information, perceived value and social interaction were introduced, and data were collected using questionnaires. Linear regression as well as mediating effects were used to test the hypotheses, and the research results showed that apparel green information positively influenced users' apparel green information sharing intention and behavior through the perceived value of information people and the social interaction of information environment. [ABSTRACT FROM AUTHOR]

The availability of accurate toponyms in user tweets is crucial for geolocating Twitter users.However, existing methods for locating Twitter users often suffer from limited quantity and reliability of acquired toponyms, thus impacting the accuracy of user geolocation.To address this issue, a twitter user geolocation method based on single-point toponym matching and local toponym filtering was proposed.A toponym type discriminating algorithm based on the aggregation degree of locations of the toponym was designed.In the proposed algorithm, a single-point toponym database was generated to provide more reliable toponyms extracted from tweets.Then, according to a proposed local place name filtering algorithm based on the aggregation degree of user location, the aggregation degree of user location centered on the longitude and latitude of toponyms and the average longitude and latitude of users were calculated.This process helped in extracting local toponyms with a high aggregation degree, which enhances the reliability of toponyms used in geolocation.Finally, a user-toponym heterogeneous graph was constructed based on user social relationships and user mentions of toponyms, and users were located by graph representation learning and neural networks.A large number of user geolocation experiments were conducted based on two commonly used public datasets in this field, namely GEOTEXT and TW-US.Comparisons with nine existing typical methods for Twitter user geolocation, including HGNN, ReLP, and GCN, demonstrate that our proposed method achieves significantly higher geolocation accuracy.On the GEOTEXT dataset, the average error is reduced by 7.3～342.8 km, the median error is reduced by 2.4～354.4 km, and the accuracy of large area-level geolocation is improved by 1.3%～26.3%.On the TW-US dataset, the average error is reduced by 8.6～246.6 km, the median error is reduced by 5.7～149.7 km, and the accuracy of large area-level geolocation is improved by 1.5%～20.5%.

The advent of social media has brought about significant changes in people’s lives.While social media allows for easy access and sharing of news, it has also become a breeding ground for the dissemination of fake news, posing a serious threat to social security and stability.Consequently, researchers have shifted their focus towards fake news detection.Although several deep learning-based solutions have been proposed, these methods heavily rely on large amounts of supporting data.Currently, there is a scarcity of existing datasets, particularly in Chinese, and the collected news articles are often limited to the same category.To enhance the detection of fake news, a new multi-modal fake news dataset (MFND) was developed, which comprised Chinese and English news data from ten diverse categories: politics, economy, entertainment, sports, international affairs, technology, military, education, health, and social life.The word frequencies and categories of the proposed fake news dataset were analyzed and compared with existing fake news datasets in terms of number of news, news categories, modal information and news languages.The results of the comparison demonstrate that the MFND dataset excels in terms of category information and news languages.Moreover, training and validating existing typical fake news detection methods with MFND dataset, the experimental results show an improvement of approximately 10% in model performance compared to existing mainstream fake news datasets.

BACKGROUND: Physicians who attend international conferences cover their content on social media. Such posts generate an active response and discussion in the comments involving other physicians. Attending all conferences when they are held simultaneously is impossible; therefore, brief communications that capture the essence of a missed presentation are in demand, generate an immediate response, and quickly raise awareness of new clinical research and scientific data. This phenomenon was not studied in Russia. However, the posts were analyzed and the activity and interest among Russian physicians were evident. AIM: To investigate how frequently Russian physicians use available social networks to share information from scientific conferences with their colleagues. METHODS: The search for posts for the last 412 months in Russian social networks such as VKontakte (vk.com), VrachiRF (vrachirf.ru), and Doctor na rabote (doktornarabote.ru) by report, conference, congress, symposium, and medical conference keywords was conducted. The selected recordings were classified into 6 categories (conference announcements; reports of past conferences without disclosing the content; professional journalistic reports, disclosing the content; reports from physicians, disclosing the content; videos of reports with disclosure; videos of reports without disclosure) and counted (1373 posts in total). However, the category Reports from physicians revealing the content of some selected parts of the report and facts and ideas presented in the report was given special attention due to useful information from the conferences and a reason to discuss in the comments. In addition, relevant studies by authors from other countries were analyzed and compared with our results. RESULTS: A total of 1,373 posts (searched by keywords), of which 65 were in the category Reports from physicians revealing the content of some selected parts of the report and facts and ideas presented in the report was reviewed. The number of such posts is limited; however, this information is of interest to physicians (high number of views and dozens of comments). By comparison, the number of such messages in other countries may reach into the hundreds at a single conference alone. Based on foreign experience, the discussion of the reports on social networks helps both to spread new knowledge and facilitate joint learning and interaction among physicians, which contributes to the generation of useful material that passed peer review. Possible reasons for the low number of such posts on Russian social networks are as follows: mostly messages and discussions take place on professional social networks (VrachiRF and Doctor na rabote), foreign organizers actively encourage participants to use social networks with conference hashtags, and the multimillion-speaking English-speaking audience encourages authors to write more posts with their feedback. CONCLUSIONS: Physicians quite rarely share facts presented at Russian scientific medical conferences on Russian social networks. However, users of social networks show considerable interest and actively discuss such posts. The study of this phenomenon will enable the assessment and effective use of its educational potential.

Personality is a stable construction, which is associated with thoughts, emotions and behaviors of human. Any technology involved in understanding, analyzing and predicting human behaviors may benefit from personality recognition. Accurately recognizing the personality will contribute to the research of human-computer interaction, recommendation system, cyberspace security, etc. Social media provides high-quality data for personality recog-nition, while classic personality measurement methods such as self-report scales and projective tests can no longer match the social media data in the age of big data. Moreover, the current mainstream personality recognition methods based on machine learning still have lots of room for performance improvement. Therefore, this paper investigates the literature on personality recognition based on social media data, introduces the background knowledge of personality recognition and summarizes the research status according to the data types of recognition model input used, specifically based on social text data, social image data, social application data and multimodal data. Finally, this paper proposes seven future research directions of personality recognition based on social media data.

With the rapid development of social media and the popularity of mobile devices,the interaction between users has become more convenient.But at the same time,rumors on social media are more and more rampant,which brings hidden dangers to the public and social safety.In the real world,users often express their own opinions after observing other microblogs that have been posted,especially the context of the microblog to be replied.Although some existing rumor detection methods learn the propagation patterns on propagation trees of rumors to extract clues of user interrogation or factual evidences based on the principle of crowd wisdom,which greatly improves the performance of rumor detection,they only focus on those microblogs that have direct response relationships,and Lack of ability to fully mine the indirect and implicit relationships among microblogs in the process of rumor propagation.Therefore,in this paper,a node and path dual-attention network on propagation tree structures(DAN-Tree) for debunking rumors is proposed.First,the model uses the Transformer structure to fully learn the implicit semantic relationship between posts in the propagation path,and then uses the attention mechanism to perform weighted fusion to obtain the feature vector of the propagation path.Secondly,the path representation is weighted and aggregated by using the attention mechanism to obtain the representation vector of the whole propagation tree.In addition,the structure embedding method is used to learn the spatial location information of the post on the propagation tree,which realizes the effective fusion of the deep structure and semantic information in the rumor propagation structure.The effect of the DAN-Tree model is verified on four classic datasets.Experimental results show that the DAN-Tree model surpasses the best results of the existing literature on the three datasets:the accuracy of the Twitter15 and Twitter16 datasets increases by 1.81% and 2.39%,respectively,and the F1 score of the PHEME dataset increases by 7.51%,which proves the effectiveness of DAN-Tree model.

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Copyright of Chinese Journal of Network & Information Security is the property of Beijing Xintong Media Co., Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)