Habits on Social Networks at Workplace: A Survey of Motivations and Behaviour

This article explores the use of social networks by workers in Abidjan, Côte d’Ivoire, with particular emphasis on a descriptive or quantitative analysis aimed at understanding motivations and methods of use. More than five hundred and fifty questionnaires were distributed, highlighting workers’ preferred digital channels and platforms. The results indicate that the majority use social media through their mobile phones, with WhatsApp being the most popular app, followed by Facebook and LinkedIn. The study reveals that workers use social media for entertainment purposes and to develop professional and social relationships, with 55% unable to live without social media at work for recreational activities. In addition, 35% spend on average 1 to 2 hours on social networks, mainly between 12 p.m. and 2 p.m. It also appears that 46% believe that social networks moderately improve their productivity. These findings can guide marketing strategies, training, technology development and government policies related to the use of social media in the workplace.

Complex Network Formation and Analysis of Online Social Media Systems

To discover and identify the influential nodes in any complex network has been an important issue.It is a significant factor in order to control over the network.Through control on a network,any information can be spread and stopped in a short span of time.Both targets can be achieved,since network of information can be extended and as well destroyed.So,information spread and community formation have become one of the most crucial issues in the world of SNA(Social Network Analysis).In this work,the complex network of twitter social network has been formalized and results are analyzed.For this purpose,different network metrics have been utilized.Visualization of the network is provided in its original form and then filter out(different percentages)from the network to eliminate the less impacting nodes and edges for better analysis.This network is analyzed according to different centrality measures,like edge-betweenness,betweenness centrality,closeness centrality and eigenvector centrality.Influential nodes are detected and their impact is observed on the network.The communities are analyzed in terms of network coverage considering theMinimum Spanning Tree,shortest path distribution and network diameter.It is found that these are the very effective ways to find influential and central nodes from such big social networks like Facebook,Instagram,Twitter,LinkedIn,etc.

Followers of the Social Media Network and National Security

With the social media networks development quickly, the followers of the social media network＇ s behaviors have taken a lot of damagers and threats to national security, and made the nation into unstable situations, even subverted the national sovereignty .This paper analyzes the characters of the followers of the social media in the Ira, Tunisia, Egypt and Libya＇s turmoil, concludes constructive suggestions how to ensure national stability and harmonious development, has some positive effect to our national security.

Security Threat and Data Consumption as Mojor Nuisance of Social Media on Wi-Fi Network

This research is about the nuisances of social media applications on a Wi-Fi network at a university campus in Ghana. The aim was to access the security risk on the network, the speed of the network, and the data consumption of those platforms on the network. Network Mapper (Nmap Zenmap) Graphical User Interface 7.80 application was used to scan the various social media platforms to identify the protocols, ports, services, etc. to enable in accessing the vulnerability of the network. Data consumption of users’ mobile devices was collected and analyzed. Device Accounting (DA) based on the various social media applications was used. The results of the analysis revealed that the network is prone to attacks due to the nature of the protocols, ports, and services on social media applications. The numerous users with average monthly data consumption per user of 4 gigabytes, 300 megabytes on social media alone are a clear indication of high traffic as well as the cost of maintaining the network. A URL filtering of the social media websites was proposed on Rockus Outdoor AP to help curb the nuisance.

The Use of Social Networks in Curbing HIV in Higher Education Institutions: A Case Study of the University of Zambia

The AIDS epidemic has affected every aspect of Zambian society and is recognized as the greatest public health challenge of the past 30 years. Nevertheless, education can generate hope in the face of the epidemic using different methods, including social networks. This article investigates the positive and negative impacts of social networks on the spread of HIV at the University of Zambia (UNZA). The research study included survey-based oral interviews with 280 UNZA students. During the course of the study, we realized that efforts have been and are being put in place at UNZA to use online social networks to spread news about HIV and AIDS and how to stop its transmission. Findings showed that most participants felt that social networks hastened the spread of the virus among social media users. Despite social networks having a few positive effects, the results of our study indicate that the negative effects far outweigh the positive effects.

Growth Pattern of Social Media Usage in Arab Gulf States: An Analytical Study

The impact of SNSs is tremendous on every aspect of life and people irrespective of region, gender and age are using it to get connected with their families and friends around the globe. This study aims to highlight the highly used SNSs across the Arab Gulf States comprising Iraq, Kuwait, United Arab Emirates, Oman, Qatar, and Saudi Arabia. The database of Stat Counter (http://gs.statcounter.com) was selected for tracing the use and growth of SNSs in this region. The findings show that the three most used SNSs in the Arab Gulf region are: Facebook, Twitter and YouTube. It is observed that Facebook is the leading social networking site used in the region until now, but Twitter is fast gaining market. Twitter is becoming popular among users and giving a tough competition to Facebook in almost all countries of the region except Iraq. In 2013, it has moved to 1st position in Saudi Arabia and Kuwait, replacing Facebook. However, in some countries like the UAE and Qatar, Facebook is still going strong. The paper concludes that the intensive use of social media among citizens’ of the Arab Gulf countries indicates that the internet has the potential to be a multivocal platform through which every segment of the society can have their voices heard. With limited availability of published literature in the field pertaining to the usage of social media by the people of the Arab Gulf countries, the paper aims to understand the practice, implication and importance of social media networks in this Muslim dominated region.

Analysis of Social Networks among Students in Abidjan City

This paper investigates the social networks usage by students in Abidjan city, Côte d’Ivoire. We focus on a descriptive or quantitative analysis to understand the motivations and how students make use of internet and social networks. More than six hundred forms were distributed to persons we have deemed as students. In return, we received more than 93% of the forms that have been processed. The study highlights the materials and the digital platforms that students used the most. The majority of the respondents reported to have access to the social networks in their mobile phones, with WhatsApp leading this application ranking, followed by Instagram, Facebook, YouTube, and Tik Tok. The survey shows that two third of our respondents are aged from 19 to 25 years old and almost half of the respondents spend daily 2 to 5 hours on digital platforms. The investigation also reveals that the main online activities are the e-commerce, chatting, information, and entertainment. The paper addresses also the online harassment of the students and it shows that more than one tenth of them have been victims of cyber-bullying. This study might be useful for governments, institutions, academia, individuals and professionals in order to communicate efficiently with a given population for a better use of social networks and to prevent students from harassment.

More than Just a Game: The Power of Social Media on Super Bowl XLVI

The evolution of social media in the recent years promoted the appearance of a new category: social media based on check-in. It enables the user to define their identity through information sharing. This paper aims to show the evolution of these media highlighting the effects and changes they cause in society through Super Bowl XLVI scenario, besides indicating the important role they have for the companies and marketing.

Framework to Classify and Analyze Social Media Content

In the last decade, a large amount of data has been published in different fields and can be used as a data source for research and study. However, identifying a specific type of data requires processing, which involves machine learning classifying techniques. To facilitate this, we propose a general framework that can be applied to any social media content to develop an intelligent system. The framework consists of three main parts: an interface, classifier and ana-lyzer. The analyzer uses media recognition to identify specific features. Then, the classifier uses these features and involves them in the classification process. The interface organizes the interaction between the system compo-nents. We tested the framework and developed a system to be applied to im-age-based social media networks (Instagram). The system was implemented as a mobile application (My Interests) that works as a recommendation and filtering system for Instagram users and reduces the time they spend on irre-levant information. It analyzes the images, categorizes them, identifies the in-teresting ones, and finally, reports the results. We used the Cloud Vision API as a tool to analyze the images and extract their features. Furthermore, we adapted support vector machine (SVM), a machine learning method, to classify images and to predict the preferred ones.

Perspectives for Sharing Personal Information on Online Social Networks

The goal of this research was to study how people feel about sharing personal information on social networks. The research was done by interviews;50 people were interviewed, mostly from China's Mainland, Hong Kong, and Finland. This paper presents the included 12 questions and discusses the collected answers. It was discovered, e.g., that 38 out of the 50 answerers use social media every day and share versatile personal information on the Internet. Half of the answerers also share information about other people on the Internet. It was also discovered that compared to male answerers, the female answerers were more active in sharing information about other people. There was a significant variety in opinions: what should be the age limit for sharing personal information online, while 22 out of the 50 answerers felt that there is no need for an age limit at all. According to the answers, only a few people use social media for making new friends. Instead, an important reason for using social media is that their existing friends are using. An interesting finding was that the answerers see the Internet as a part of the real world;the privacy that you have on the Internet is the privacy that you have in the real world.

The Social and Political Role of Social Media

Social media such as Blog, Facebook, Twitter, Youtube and so on are not only use for entertainment and communication, but also plays social and political role on people's daily life. Whether social media enhance democracy or not and how social media impact on journalism and the issues of social media, especially the social networking will be discusses on this article.

GatherTweet: A Python Package for Collecting Social Media Data on Online Events

Social media plays a crucial role in the organization of massive social movements. However, the sheer quantity of data generated by the events as well as the data collection restrictions that researchers encounter, leads to a series of challenges for researchers who want to analyze dynamic public discourse and opinion in response to and in the creation of world events. In this paper we present gatherTweet, a Python package that helps researchers efficiently collect social media data for events that are composed of many decentralized actions (across both space and time). The package is useful for studies that require analysis of the organizational or baseline messaging before an action, the action itself, and the effects of the action on subsequent public discourse. By capturing these aspects of world events gatherTweet enables the study of events and actions like protests, natural disasters, and elections.

Insights into New Media Use by International Students: Implications for Cross-Cultural Adaptation Theory

The current study uses a longitudinal, mixed-method approach to investigate the role that new media, such as social networking sites and video chat, play in cross-cultural adaptation and international student friendship network development. Results indicate that international students significantly increase and adapt their new media use while abroad to communicate globally with their friends and family, and locally with their newly formed relationships. Furthermore, social networking site host national friends do not necessarily lead to the development of face-to-face host national friends;however, interaction with established face-to-face host national friends and friend groups via new media platforms leads to an increased understanding of host communication patterns. Finally, this study proposes that researchers who apply Kim’s [1] cross-cultural adaptation theory consider incorporating Host New Media Communication as a principal concept.

Disclosure and Use of Privacy Settings in Facebook^TMProfiles: Evaluating the Impact of Media Context and Gender

The present study examined disclosure and use of privacy settings in online social networking profiles as a function of the media context (i.e., online versus hard copy (paper and pencil) FacebookTM profiles). Gender was also examined. Overall, participants disclosed more information when constructing a profile for another person when using a hard copy paper and pencil format than an online context. Gender differences were not uniform across media contexts, however, in contrast to traditional disclosure theory, females censored their disclosures more so than males but only for some topics. Only 20% of the sample increased their use of privacy settings. Consistent with patterns of disclosure, descriptive comparison suggests that more settings were employed in the paper and pencil than online context and more privacy settings were employed by females.

“一带一路”社交媒体传播网络的十年变化:内外差别与国际融通

社交媒体是“一带一路”传播的重要渠道,也是提升中国国际传播能力的重要内容。本研究采用社会网络分析和对比分析法,选取微博和推特上“一带一路”议题下最活跃的100位用户,建立了两个社会关系网络,从宏观网络结构、核心边缘结构和节点中心性三方面探究“一带一路”议题在国内外社交媒体上的传播网络特征,并进行历时性的对比分析。研究发现,在内外对比中,微博的社会网络密度和凝聚力不及推特,但主流媒体在微博上的权威性和影响力远大于在推特上的;在历时对比中,微博的社会网络强度较3年前有所弱化,推特上中国声音的影响力变强了,但主流媒体的表现依旧较弱。进一步的分析发现,“一带一路”议题在社交媒体传播方面国内外的流动性较差。如何更好地发挥主流媒体的作用,如何利用好横跨中外社交媒体的“融通者”的作用,是扩大“一带一路”传播,也是提高我国国际传播能力的有效方式。

基于异质图注意力网络与多特征融合的跨社交媒体用户识别研究

跨社交媒体用户识别对于网络舆情的协同治理以及用户偏好的全方位识别与预测具有重要的指导意义。针对现有方法存在数据表达能力弱、忽略用户信息的动态性和关联性的问题,本文提出一种融合异质特征嵌入与实体动态关联的跨社交媒体用户识别模型。首先,整合用户的基本属性、生成内容和社交结构信息,构建各个社交媒体的异质信息网络;其次,通过设计新的元路径识别策略构造邻接矩阵,使用异质图注意力网络模型汇聚用户节点信息,增强节点特征的表示能力;再其次,引入了3种连续时间衰减函数,对跨社交媒体的实体相似矩阵进行加权,增强实体之间的动态关联;最后,融合单社交网络和跨社交网络中的以上特征,利用多层感知机实现跨社交媒体用户的识别和预测。在微博-知乎真实数据集中的研究结果显示,本文模型的整体性能优于其他基准模型,特别是线性衰减函数,其展现了最佳效果,且本文提出的元路径识别策略对提升用户识别效果具有重要作用。

基于多模态掩码Transformer网络的社会事件分类

多模态社会事件分类的关键是充分且准确地利用图像和文字2种模态的特征。然而,现有的大多数方法存在以下局限性:简单地将事件的图像特征和文本特征连接起来,不同模态之间存在不相关的上下文信息导致相互干扰。因此,仅仅考虑多模态数据模态间的关系是不够的,还要考虑模态之间不相关的上下文信息(即区域或单词)。为克服这些局限性,提出一种新颖的基于多模态掩码Transformer网络(MMTN)模型的社会事件分类方法。通过图-文编码网络来学习文本和图像的更好的表示。将获得的图像和文本表示输入多模态掩码Transformer网络来融合多模态信息,并通过计算多模态信息之间的相似性,对多模态信息的模态间的关系进行建模,掩盖模态之间的不相关上下文。在2个基准数据集上的大量实验表明:所提模型达到了最先进的性能。

新媒体背景下社会工作网络服务传播效果提升研究——基于短视频的数据分析

自2017年短视频成为新媒体的主要阵地之一后,短视频平台及其传播现象便逐渐成为一种宣传形象和文化传播的独特样态,给社会工作的发展带来了新的途径。为了更有效地利用短视频的优势,提升社会工作网络传播效果,通过在抖音、快手、小红书、哔哩哔哩以及微信视频号等平台收集社会工作主题短视频,利用SPSS26.0对视频主题、发布平台、发布方式、视频点赞量、收藏量、转发量、评论量等方面进行分析,并结合半结构式访谈了解现阶段社会工作者对社会工作短视频发展的态度,发现社会工作短视频的传播效果目前主要受视频主题、发布方式、发布平台三方面因素的影响,同时,视频剪辑技术、案主隐私、视频流量也限制了社会工作者制作和发布社会工作短视频。因此,应注重视频内容设计,打造品牌,引进和培养专业技术人才,加强社会工作的职业科普,积极探索平台引流方式,以保证社会工作网络传播的影响力。

国内外期刊融媒体出版优秀案例与经验借鉴

高速发展的信息技术带动了出版行业进入新媒体时代,人们阅读方式的巨大变化冲击着出版行业,并推动其转型升级。为了打造高质量、高影响力的期刊,需要多种媒介融合,协同办刊。通过借鉴国内外期刊融媒体出版案例的成功经验,指出期刊应结合自身特点确定融媒体发展方向,以切实提升影响力与竞争力。