Integrating Neighborhood Geographic Distribution and Social Structure Influence for Social Media User Geolocation

Geolocating social media users aims to discover the real geographical locations of users from their publicly available data,which can support online location-based applications such as disaster alerts and local content recommen-dations.Social relationship-based methods represent a classical approach for geolocating social media.However,geographically proximate relationships are sparse and challenging to discern within social networks,thereby affecting the accuracy of user geolocation.To address this challenge,we propose user geolocation methods that integrate neighborhood geographical distribution and social structure influence(NGSI)to improve geolocation accuracy.Firstly,we propose a method for evaluating the homophily of locations based on the k-order neighbor-hood geographic distribution(k-NGD)similarity among users.There are notable differences in the distribution of k-NGD similarity between location-proximate and non-location-proximate users.Exploiting this distinction,we filter out non-location-proximate social relationships to enhance location homophily in the social network.To better utilize the location-proximate relationships in social networks,we propose a graph neural network algorithm based on the social structure influence.The algorithm enables us to perform a weighted aggregation of the information of users’multi-hop neighborhood,thereby mitigating the over-smoothing problem of user features and improving user geolocation performance.Experimental results on real social media dataset demonstrate that the neighborhood geographical distribution similarity metric can effectively filter out non-location-proximate social relationships.Moreover,compared with 7 existing social relationship-based user positioning methods,our proposed method can achieve multi-granularity user geolocation and improve the accuracy by 4.84%to 13.28%.

User Profile & Attitude Analysis Based on Unstructured Social Media and Online Activity

As social media and online activity continue to pervade all age groups, it serves as a crucial platform for sharing personal experiences and opinions as well as information about attitudes and preferences for certain interests or purchases. This generates a wealth of behavioral data, which, while invaluable to businesses, researchers, policymakers, and the cybersecurity sector, presents significant challenges due to its unstructured nature. Existing tools for analyzing this data often lack the capability to effectively retrieve and process it comprehensively. This paper addresses the need for an advanced analytical tool that ethically and legally collects and analyzes social media data and online activity logs, constructing detailed and structured user profiles. It reviews current solutions, highlights their limitations, and introduces a new approach, the Advanced Social Analyzer (ASAN), that bridges these gaps. The proposed solutions technical aspects, implementation, and evaluation are discussed, with results compared to existing methodologies. The paper concludes by suggesting future research directions to further enhance the utility and effectiveness of social media data analysis.

Exploring International Media and Information Literacy Initiatives: Insights From DW Akademie’s MIL Model

Media and Information Literacy(MIL)is one of the most important topics in today’s mediatized world.Under the leadership of United Nations Educational,Scientific and Cultural Organization(UNESCO),many international organizations in the world,as foreign donors,annually announce many projects and grants for the promotion and development of the field of MIL in the countries of the world.One of the main actors of this movement is DW Akademie with different media and MIL projects several countries of the world.This research paper delves into the role of DW Akademie’s MIL model in shaping a media-savvy generation.The study explores the theoretical underpinnings and practical applications of Deutsche Welle(DW)Akademie’s MIL model,analysing its effectiveness in fostering media literacy skills.The research employs a multi-faceted approach,incorporating case studies to assess the model’s impact across diverse demographics.The paper also considers the model’s alignment with global educational policies and proposes recommendations for its integration into broader frameworks.By investigating DW Akademie’s MIL model,this research contributes to the ongoing discourse on media literacy education,providing valuable insights for educators,policymakers,and researchers.The findings offer a nuanced understanding of the model’s position in cultivating a media-savvy generation poised to navigate the complexities of the information age.

Deep Learning Enabled Social Media Recommendation Based on User Comments

Nowadays,review systems have been developed with social media Recommendation systems(RS).Although research on RS social media is increas-ing year by year,the comprehensive literature review and classification of this RS research is limited and needs to be improved.The previous method did notfind any user reviews within a time,so it gets poor accuracy and doesn’tfilter the irre-levant comments efficiently.The Recursive Neural Network-based Trust Recom-mender System(RNN-TRS)is proposed to overcome this method’s problem.So it is efficient to analyse the trust comment and remove the irrelevant sentence appropriately.Thefirst step is to collect the data based on the transactional reviews of social media.The second step is pre-processing using Imbalanced Col-laborative Filtering(ICF)to remove the null values from the dataset.Extract the features from the pre-processing step using the Maximum Support Grade Scale(MSGS)to extract the maximum number of scaling features in the dataset and grade the weights(length,count,etc.).In the Extracting features for Training and testing method before that in the feature weights evaluating the softmax acti-vation function for calculating the average weights of the features.Finally,In the classification method,the Recursive Neural Network-based Trust Recommender System(RNN-TRS)for User reviews based on the Positive and negative scores is analysed by the system.The simulation results improve the predicting accuracy and reduce time complexity better than previous methods.

Research on Media Literacy Education for College Students in the New Era

With the development of economic globalization,mobile network and media technology are developing rapidly.Media information is manufactured and disseminated at any time,and people can understand global information more conveniently with the help of media.At the same time,false,violent,pornography,and other negative information are also spreading rapidly in various media,and college students in the new era are in urgent need to improve their media literacy.This study explores the current situation of college students’media literacy level,and explores the improvement path from the three levels of college students,universities,and the government,with the hope to provide ideas for the media literacy of college students in the new era.

Users' Media Cloud Assisted D2D Communications for Distributed Caching Underlaying Cellular Network

In cellular networks, the proximity devices may share files directly without going through the e NBs, which is called Device-to-Device communications(D2D). It has been considered as a potential technological component for the next generation of communication. In this paper, we investigate a novel framework to distribute video files from some other proximity devices through users' media cloud assisted D2 D communication. The main contributions of this work lie in: 1) Providing an efficient algorithm Media Cloud Cluster Selecting Scheme(MCCSS) to achieve the reasonable cluster; 2) Distributing the optimum updating files to the cluster heads, in order to minimize the expected D2 D communication transmission hop for files; 3) Proposing a minimum the hop method, which can ensure the user obtain required file as soon as possible. Extensive simulation results have demonstrated the efficiency of the proposed scheme.

Association Rule Analysis-Based Identification of Influential Users in the Social Media

The exchange of information is an innate and natural process that assist in content dispersal.Social networking sites emerge to enrich their users by providing the facility for sharing information and social interaction.The extensive adoption of social networking sites also resulted in user content generation.There are diverse research areas explored by the researchers to investigate the influence of social media on users and confirmed that social media sites have a significant impact on markets,politics and social life.Facebook is extensively used platform to share information,thoughts and opinions through posts and comments.The identification of influential users on the social web has grown as hot research field because of vast applications in diverse areas for instance political campaigns marketing,e-commerce,commercial and,etc.Prior research studies either uses linguistic content or graph-based representation of social network for the detection of influential users.In this article,we incorporate association rule mining algorithms to identify the top influential users through frequent patterns.The association rules have been computed using the standard evaluation measures such as support,confidence,lift,and conviction.To verify the results,we also involve conventional metrics for example accuracy,precision,recall and F1-measure according to the association rules perspective.The detailed experiments are carried out using the benchmark College-Msg dataset extracted by Facebook.The obtained results validate the quality and visibility of the proposed approach.The outcome of propose model verify that the association rule mining is able to generate rules to identify the temporal influential users on Facebook who are consistent on regular basis.The preparation of rule set help to create knowledge-based systems which are efficient and widely used in recent era for decision making to solve real-world problems.

The Media Logic and Cultural Impact of WeChat

Through its media logic, which is defined by programmability, pervasiveness, connectivity, and datafication, WeChat establishes a non-linear, interactive, and user-dominated media environment. This media logic enhances the influence of each user within WeChat’s narrative landscape and revolutionises traditional media narration methods by enabling them to generate and distribute content. In such an environment, users are able to edit, receive, and send information without constraints of time or distance, which enables delayed interactions that broaden the potential for human communication and dissemination. Additionally, WeChat partially replaces social behaviours and institutions, thereby modifying their original structures and characteristics. As individuals become more accustomed to this media environment, they progressively adjust to the forms that are appropriate for media representation on WeChat, thereby completing the mediatization of culture and society. In this process, individuals are becoming more dependent on media and media logic, with WeChat’s influence permeating social and cultural activities through its media logic. This interaction has a substantial impact on society and culture, thereby aiding in their reconstruction.

China’s Perspectives on the Modern Educational Value of Critical Information Literacy

Critical information literacy is a new and important direction of information literacy education for university students in the new media era.By comparing critical information literacy between China and the West,combining with the research on information literacy education in China in the past 20 years,and based on the three major relationships that Chinese philosophy is concerned about that people need to face in the world of life,i.e.,the individual and the self,the individual and nature,and the individual and the society,this paper defines critical information literacy as that individuals,as information subjects,discover,select,confirm,and evaluate the information they are exposed to by obtaining and discriminating the content elements of the information world(information sources,information,and information assets)and using critical thinking skills and methods,creatively interpret or solve the relevant problems arising from the interaction between individuals and self,individuals and nature,individuals and society,and form the literacy that represents the knowledge,ability,attitude,habit,and level of the information subject through continuous reflection and practice.In order for human beings to better understand the world and construct it responsibly,critical information literacy can play a greater role and educational value.It not only helps contemporary college students build knowledge of“good questioning”and enhance their“reasoning”skills,but also encourages them to maintain a“firm standpoint,”cultivate a habit of“healthy skepticism,”and enhance their“decision-making”skills.

A Network Analysis to Young Social Media Users in China

This study is a brief review of possible reasons for the nature of Weibo posting anxiety and WeChat posting anxiety in China.Based on Social Cognitive Theory(SCT),this study examines posting anxiety of Sina Weibo and WeChat users and compares diverse influences exerted by the determinants(i.e.,micro-blogging self-efficacy,instant messaging self-efficacy,outcome expectations,and prior experience).The data of this study are still waiting for collection,thus only some possible explanations for inactive young social media users in China are examined in this study.

基于知识创新的媒体与信息素养(Media Information Literacy)的高等教育模式研究

根据国际教育界的最新共识——全球媒体与信息素养(MIL)的评估标准,结合目前国内外的研究现状,进行比较分析,确定大学生的MIL的评估标准与方法,以我校的一校实践数据为例,说明MIL的用户教育对于改善学生的专业学习能力和知识创新的能力具有积极的作用,大量的实践数据的研究分析还有待进一步的教育实践验证。

A Scientometric Study of Digital Literacy,ICT Literacy,Information Literacy,and Media Literacy

Purpose:Digital literacy and related fields have received interests from scholars and practitioners for more than 20 years;nonetheless,academic communities need to systematically review how the fields have developed.This study aims to investigate the research trends of digital literacy and related concepts since the year of 2000,especially in education.Design/methodology/approach:The current study analyzes keywords,co-authorship,and cited publications in digital literacy through the scientometric method.The journal articles have been retrieved from the WoS(Web of Science)using four keywords:"Digital literacy,""ICT literacy,""information literacy,"and"media literacy."Further,keywords,publications,and co-authorship are examined and further classified into clusters for more in-depth investigation.Findings:Digital literacy is a multidisciplinary field that widely embraces literacy,ICT,the Internet,computer skill proficiency,science,nursing,health,and language education.The participants,or study subjects,in digital literacy research range from primary students to professionals,and the co-authorship clusters are distinctive by countries in America and Europe.Research limitations:This paper analyzes one fixed chunk of a dataset obtained by searching for all four keywords at once.Further studies will retrieve the data from diverse disciplines and will trace the change of the leading research themes by time spans.Practical implications:To shed light on the findings,using customized digital literacy curriculums and technology is critical for learners at different ages to nurture digital literacy according to their learning aims.They need to cultivate their understanding of the social impact of exploiting technology and computational thinking.To increase the originality of digital literacy-related studies,researchers from different countries and cultures may collaborate to investigate a broader range of digital literacy environments.Originality/value:The present study reviews research trends in digital literacy and related areas by performing a scientometric study to analyze multidimensional aspects in the fields,including keywords,journal titles,co-authorship,and cited publications.

A User-Recommendation Method Based on Social Media

User-analysis techniques are mainly used to recommend friends and information. This paper discusses the data characteristics of microblog users and describes a multidimensional user rec- ommendation algorithm that takes into account microblog length, relativity between microblog and users, and familiarity between users. The experimental results show that this multidi- mensional algorithm is more accurate than a traditional recom- mendation algorithm.

Media and Information Literacy in Inclusive Education: A Team Teaching Concept at the Technische Universitat Dortmund

There is a desideratum in the research about the interdependencies of inclusive education and media education. Digital media can facilitate individualized and cooperative learning. Additionally, digital media can be used to promote inclusion. However, which factors influence the acquisition of media and information literacy in inclusive education? Comparative international studies, e.g., the International Computer and Information Literacy Study (ICILS), show how social challenges, such as participation and handling heterogeneity at school, can be addressed through media. In numerous studies, it becomes apparent that German teachers do not sufficiently see the potential of digital media, especially for the improvement of learning opportunities for individuals with diverse learning requirements. German teachers are not well able to apply digital media appropriately in their lessons. Teachers need to be qualified and to design modern education with accessible media. In Germany, the ratio between available computers and pupils (1:4) is far better than the rate between teaching with and without computers. According to the teacher’s reports, only 9% of teachers are using digital media daily. Approximately 40% use digital media seldom or never. It seems that the cause is a skeptical attitude towards media among teachers, especially in humanities. That may result from missing didactical competences regarding digital media. The idea of Technical Pedagogical Content Knowledge (TPACK) and extending that explanatory model for teachers’ competencies on the inclusive practices builds the theoretical background for the design of joint seminars by the Research Center Youth-Media-Education as part of the Faculty for Cultural Studies and the Research Cluster Technology for Inclusion and Participation at the University of Dortmund. Prospective teachers should become familiar with this way of collaboration. Already for four years now, a teaching team from these two departments designs collaborative lectures. Inclusive teaching and learning in different contexts are practiced in tutorials with practical approaches as well. In tandems, the students develop a learning situation at school or extracurricular institutions. Afterward, they present it. The presentation focuses on the concept, its teaching and learning conditions, and competence orientation as well as opportunities and limitations.

Formulate Social Media into Media Information Literacy

The dawn of media literacy education was seen around the mid-1960s. And, developed curriculums introduced media awareness in schools. Continuously, the Grtinwald Declaration （1982） was the first to state the necessity of media education to promote ability of critical understanding. After dissemination of Internet, information and communication technologies were introduced into media education. And, media literacy and information literacy were intertwined as a MIL （Media and Information Literacy） in the Alexandria Proclamation （2005）. Besides, the proclamation defined that information literacy and lifelong learning were the precondition of the information society. Featured importance of applied skill was explained by a disaster case that a girl saved 100 people when the Tsunami hit the coast in Phuket, 2004. Thus, the definition of MIL was frequently up-dated. On March 11 2011, we had a giant earthquake with the Tsunami： Tohoku region pacific coast earthquake. We observed severe damage even under our well prepared disaster prevention drill, earthquake-resistant construction, and communication networks. Through investigation, authors could select records of successful and unsuccessful cases concerning MIL. Then, this study aims to propose expecting what additional competency needs to be introduced in MIL. As a result, the authors could extract ＂Curation Literacy＂ that involved decision making process by a user.

Multimedia Production and Multi（media） Literacy in Gymnasiums

The article displays the possibilities for introducing multimedia production based on computer science to gymnasiums （general secondary school programs）, where students who usually continue their education at college are educated. The purpose of the research was to prepare an assessment of the situation and recommendations to gymnasiums on how to improve the situation in this field and what options and opportunities appear for schools and the media environment in which they are active. Special attention was paid to the situation of activities （extracurricular activities and optional subjects） related to multimedia production and uses of ICT （information-communication technology）.

Composition and Improvement Strategies of News Audience’s Media Literacy in the Omnimedia Era

In the era of omnimedia,the methods of news consumption have changed markedly.Based on new characteristics of news consumption and new issues arising therefrom,this article provides an in-depth analysis of the capabilities,including selecting,decoding and coding information from news,which all contemporary news audience should have.Meanwhile,this article proposes the pathway and strategies for fostering and improving media literacy.For example,the government should strengthen top-level design,mass media should comply with media ethics and schools should innovate educational methods.In addition,relevant social organizations,communities and families ought to mutually collaborate with each other in order to jointly build a scientific and rational media literacy education system.

Effectiveness of Differentiated Instruction in Teaching Media and Information Literacy to Senior High School Students of Ungos National High School

This study promotes and encourages the use of Differentiated Instruction(DI)in teaching Media and Information Literacy in senior high school among the schools of DepEd Quezon.This action research used a quantitative experimental design in employing the action research framework.Based on the results of the study,there is significant difference between the control group’s pretest and posttest scores based on the T-Value of 3.24 which is higher than the tabular value of 2.05 at 0.05 level of significance at 28 degrees of freedom.For the experimental group’s pretest and posttest score there is a significant difference based on the T-Value of 4.93 which is higher than the tabular value of 2.05 at 0.05 level of significance at 28 degrees of freedom.However,the data between the T-Value of the control and experimental group are that the experimental group has a higher computed T-Value by 1.69 which means that learners have better understanding and learning of the subject Media and Information Literacy if Differentiated Instruction was used compared to the control group without Differentiated Instruction and is of significant difference.This action research had proven the usefulness of DI in improving the performance and understanding of learners in senior high school in the subject Media and Information Literacy.Hence,the use of DI can be utilized in other senior high schools in the country as a method of effective classroom instruction.

角色演变视角下辟谣信息对社交媒体意见领袖形成的影响——基于舆论领导法则

[目的/意义]探究辟谣信息对社交媒体用户的影响,特别是对意见领袖形成现象机制的挖掘。构建社交媒体用户角色演变行为模型,研究人员可以更好地了解意见领袖的形成原因,刻画辟谣信息对社交媒体用户的作用机制,有助于对参与辟谣的“准意见领袖”进行合理引导,以提高社交媒体舆情管理的效率和准确性。[方法/过程]首先,对微博社交媒体平台中的特定主题事件进行跟踪,识别并筛选出“新生意见领袖”群体,并利用质性访谈对此群体进行深度访谈。然后,基于程序化扎根理论方法,利用NVivo 12软件进行扎根编码构建模型,并通过理论饱和度检验验证模型的完整性。最后,对社交媒体用户角色演变的原因进行深入分析和探讨。[结果/结论]在辟谣信息作用下,个体主观因素、社会环境因素和辟谣信息因素对一般用户向新生意见领袖的演变行为产生重要影响,其中个体主观因素在辟谣信息的作用下对意见领袖形成的影响更加显著,自我认知清晰、高情绪需求且情绪稳定的个体更容易成为影响力持久的意见领袖;社会公众认可、实质性奖励和政策法律支持共同构成社会环境因素,是意见领袖形成的重要保障;辟谣信息因素中的辟谣信息热度、可信度和发布质量等方面都会直接影响“潜在意见领袖”用户群体对辟谣事件的把握,进而干预其参与辟谣的决定。

数智环境下社交媒体用户算法素养评价指标体系构建研究

[目的/意义]构建社交媒体用户算法素养评价指标体系,科学地测量社交媒体的算法素养,发现社交媒体用户算法素养存在的问题,进而展开有针对性的算法素养教育。[方法/过程]采用文献研究法、专家调查法以及层次分析法,根据国内外相关研究成果,从算法意识与态度、算法知识、算法技能、算法规范4个维度构建社交媒体用户算法素养评价指标体系,并对算法素养评价指标权重进行分析,为提升社交媒体用户算法素养提出有针对性的建议和策略。[结果/结论]通过对社交媒体用户算法素养评价指标体系分析,未来可以从三个方面提升社交媒体用户的算法素养:将算法素养纳入通识教育体系;以风险教育为切入点加强算法风险知识与算法风险控制能力的培养;丰富算法素养教育与培训的形式。