Social Rights and Work on Digital Platforms in Brazil:The Case of“Breque dos Apps”

The movement known as“Breque dos Apps”was a social movement of a striker nature,which took place in Brazil in July 2020.Such movement was organized by workers which provided services to delivery apps(like iFood,Loggi,Uber Eats and Rappi).They demanded better working conditions and social protection measures,since they were out of the protection of the Brazilian legal system.The reason for this lies in the fact that there is a debate about the classification of these workers-the maximum expression of the gig economy-as employees under Brazilian legislation.As a result,and with the exponential growth in the use of these applications due to the Covid-19 pandemic,thousands of workers were left on the fringes of any social protection.This study aims to analyze the aforementioned movement and its demands within the paradigm of social rights,especially the ones regarding collective representation,which are guaranteed by the Brazilian Constitution.In terms of methodology,the content analysis method will be applied,considering that the established objective presupposes the study of theoretical and legal texts that allow the structuring of concepts applicable to the theme.The research technique to be adopted will be the analysis of indirect documentation,that is,literature review,to be carried out through bibliographic and documentary research,focused on literature and legal texts related to the topic.

Thalassemia Screening by Sentiment Analysis on Social Media Platform Twitter

Thalassemia syndrome is a genetic blood disorder induced by the reduction of normal hemoglobin production,resulting in a drop in the size of red blood cells.In severe forms,it can lead to death.This genetic disorder has posed a major burden on public health wherein patients with severe thalassemia need periodic therapy of iron chelation and blood transfusion for survival.Therefore,controlling thalassemia is extremely important and is made by promoting screening to the general population,particularly among thalassemia carriers.Today Twitter is one of the most influential social media platforms for sharing opinions and discussing different topics like people’s health conditions and major public health affairs.Exploring individuals’sentiments in these tweets helps the research centers to formulate strategies to promote thalassemia screening to the public.An effective Lexiconbased approach has been introduced in this study by highlighting a classifier called valence aware dictionary for sentiment reasoning(VADER).In this study applied twitter intelligence tool(TWINT),Natural Language Toolkit(NLTK),and VADER constitute the three main tools.VADER represents a gold-standard sentiment lexicon,which is basically tailored to attitudes that are communicated by using social media.The contribution of this study is to introduce an effective Lexicon-based approach by highlighting a classifier calledVADERto analyze the sentiment of the general population,particularly among thalassemia carriers on the social media platform Twitter.In this study,the results showed that the proposed approach achieved 0.829,0.816,and 0.818 regarding precision,recall,together with F-score,respectively.The tweets were crawled using the search keywords,“thalassemia screening,”thalassemia test,“and thalassemia diagnosis”.Finally,results showed that India and Pakistan ranked the highest in mentions in tweets by the public’s conversations on thalassemia screening with 181 and 164 tweets,respectively.

Does communication increase investors’trading frequency?Evidence from a Chinese social trading platform

This study examines the impact of communication on investors’trading frequency based on a unique dataset drawn from a Chinese social trading platform.We find robust evidence that real-account portfolio owners on the platform trade more frequently under the influence of the comments posted by their leaders(the owners of portfolios they have followed).Moreover,portfolio owners are more sensitive to the quantity than to the tone of leaders’comments.Finally,both trading frequency and leaders’comments negatively impact portfolio owners’future performance.Our find-ings support the notion that social interaction promotes active investment strategies.

基于SEM与ANN混合方法的社交问答平台用户转移行为

社交问答平台得到了用户的广泛使用,但由于各平台的功能类似,用户转移起来较为容易,这将导致用户流失。基于PPM模型,研究社交问答平台用户转移行为。采集447份有效数据,采用SEM(结构方程模型)与ANN(人工神经网络)混合方法进行分析。结果发现:推力因素(不满意度、厌倦性)和拉力因素(内容质量、用户体验)正向影响用户的转移意向,锚定因素(转移成本)负向影响转移意向,且负向调节推力因素和拉力因素的作用。ANN结果显示:不满意度是影响转移意向的最重要因素。因此,社交问答平台需要提高内容质量,改善用户体验,降低用户的不满意度和厌倦性,从而防止用户的转移行为,实现用户保持。

Cyber-Physical-Social System Between a Humanoid Robot and a Virtual Human Through a Shared Platform for Adaptive Agent Ecology

Two artificial agents(a humanoid robot and a virtual human) are enriched with various similar intelligence,autonomy, functionalities and interaction modalities. The agents are integrated in the form of a cyber-physical-social system(CPSS) through a shared communication platform to create a social ecology. In the ecology, the agents collaborate(assist each other) to perform a real-world task(search for a hidden object)for the benefits of humans. A robot-virtual human bilateral trust model is derived and a real-time trust measurement method is developed. The role of taking initiative in the collaboration is switched between the agents following a finite state machine model triggered by bilateral trust, which results in a mixedinitiative collaboration. A scheme is developed to evaluate the performance of the agents in the ecology through the CPSS.The results show that the robot and the virtual human perform satisfactorily in the collaboration through the CPSS. The results thus prove the effectiveness of the real-world ecology between artificial agents of heterogeneous realities through a shared platform based on trust-triggered mixed-initiatives. The results can help develop adaptive social ecology comprising intelligent agents of heterogeneous realities to assist humans in various tasks through collaboration between the agents in the form of a CPSS.

Multimodal sentiment analysis for social media contents during public emergencies

Purpose:Nowadays,public opinions during public emergencies involve not only textual contents but also contain images.However,the existing works mainly focus on textual contents and they do not provide a satisfactory accuracy of sentiment analysis,lacking the combination of multimodal contents.In this paper,we propose to combine texts and images generated in the social media to perform sentiment analysis.Design/methodology/approach:We propose a Deep Multimodal Fusion Model(DMFM),which combines textual and visual sentiment analysis.We first train word2vec model on a large-scale public emergency corpus to obtain semantic-rich word vectors as the input of textual sentiment analysis.BiLSTM is employed to generate encoded textual embeddings.To fully excavate visual information from images,a modified pretrained VGG16-based sentiment analysis network is used with the best-performed fine-tuning strategy.A multimodal fusion method is implemented to fuse textual and visual embeddings completely,producing predicted labels.Findings:We performed extensive experiments on Weibo and Twitter public emergency datasets,to evaluate the performance of our proposed model.Experimental results demonstrate that the DMFM provides higher accuracy compared with baseline models.The introduction of images can boost the performance of sentiment analysis during public emergencies.Research limitations:In the future,we will test our model in a wider dataset.We will also consider a better way to learn the multimodal fusion information.Practical implications:We build an efficient multimodal sentiment analysis model for the social media contents during public emergencies.Originality/value:We consider the images posted by online users during public emergencies on social platforms.The proposed method can present a novel scope for sentiment analysis during public emergencies and provide the decision support for the government when formulating policies in public emergencies.

The Development and Operation Mechanism of the Colleges’E-class Network Ideological and Political Education Platform——Based on post-95 college students’social behavior characteristics

Based on the investigation and analysis of the social behavior characteristics of post-95undergraduates, this paper puts forward the principle of sharing and building e-class platform and analyzes thedevelopment of the functions of the four platforms such as the teacher-student service system, instant interactionsystem, SNS community system and vertical segmental pushing system and the realization of the function of modularoperation. Finally, in order to ensure the stable operation of the E-class platform, four measures are put forward suchas the systematic construction of the system, the innovation of team work, the assessment of key performances and thecomprehensive guarantee, thus providing an external guarantee for the stable operation of the E-class platform.

Cyber Development of Government Service Platform in Social Public Administration

The cyber development of government service platform is just to integrate all the superiorities of the government to strengthen its roles such as service,performance and function to drive the social development actively.Hence,the social public administration will take this opportunity to optimize the cyber information service platform to make the civic administration oriented to the social development to maximize its functions of organization,coordination and service to protrude the ascendancy of the web era so as to lay a solid foundation for the leap development of the public administration.

新媒体语境下新闻反转、舆论生成机制和治理路径探究——基于2014-2020年典型反转新闻事件的定性比较分析(QCA)研究

在新媒体营造的"后真相"时代,新闻反转加剧了舆论环境的动荡,传统新闻观念及伦理受到极大冲击。通过对近7年来典型新闻反转事件的定性比较分析发现,新闻反转中事件信息的反转和舆论逆转与新闻来源和来源形式密切相关,而舆论的爆发与网友质疑和公众的情感诉求高度关联,及时回应成为舆论平息的重要条件。新闻反转中,制度、人、技术、信息等共同协作,形成合力,才能营造出健康的社会舆论环境。

Governments′ Path Selection of Promoting Rural Information Development——From the Perspective of Social Capital Theory

In introduction of the connoted meaning of rural information and its important role in the development of modern agriculture in our country and the development of urban and rural areas, the paper analyzes the difficulties in information construction: the first is the inadequate attendance of farmers, the low efficiency of information platform use; the second is the backward construction of information sources, which cannot meet the practical needs of information by farmers; the third is the bad situation of information exchanging. From perspective of social capital, it discusses the roles social capital factors playing in the rural information construction, among which, the information relations between farmers and information are the basis; net attendance is the necessary condition of sustainable development of rural information construction; customs afford management resources in rural information construction. Based on the above materials, the paper puts forward that it is the government who must accelerate the construction of rural information: the first is planting technic net in rural credit systems, accelerating the admission and supporting of farmers to information construction; the second is to strengthen the exchanging abilities among information platforms, upgrading the attendance degrees of farmers in rural information construction; the third is to introduce and make use of the management power of rural customs to complete an information management norm.

Social Media Regulation:Models and Proposals

The article deals with the topical issue of social media regulation.It is based on the libertarian theory of economic freedom because,in our understanding,it allows the elaboration of a future-oriented human rights based-on regulatory approach.This approach is premised on both freedom of speech and the right to private initiative protection in contemporary media environment.In the analysis,the recently structured Facebook and Instagram Oversight Board for Content Decisions are also discussed.The article presents arguments for the establishment of an internal body(arbitration)that can practically resolve disputes among participants and between participants and any social media platform on a regular basis.Such a body can also support the effective application of the media codes of conduct without governmental involvement and may strengthen self-regulation of platforms.

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.

浅析使用Opensocial开发SNS应用

由Facebook引发的SNS（Social Network Service,社会化网络服务）风靡全球,让我们看到了在新一轮互联网革命中人的力量。＂草根文化＂、＂病毒式传播＂让我们越来越多地感受到,人、社会、网络的结合所产生的巨大价值和无限可能。如何将人的力量最大化,让更多的人参与价值的积聚过程,开放平台无疑是最好的方式。该文阐述了什么是SNS开放平台、SNS产业链中的各个角色以及OpenSocial产生的背景与现状。

ParallelGAT:网络谣言检测方法

[研究目的]社交媒体平台在促进多元信息交互的同时,也助推了谣言的快速传播。如何准确、及时地发现谣言,已成为多领域学者共同关注的热点问题。最新的谣言检测研究表明,基于谣言传播结构的方法能够捕捉丰富的谣言传播特征,提升谣言检测准确率,而基于外部证据推理的方法可以在传播数据不充分的情况下判别谣言真假,提高谣言检测的时效性。[研究方法]为实现谣言检测准确率和时效性的同步提升,本研究结合这两种方法的优势,提出了基于并行图注意力网络的谣言检测方法ParallelGAT。ParallelGAT由两个图注意力网络模型BiGAT和MlGAT并行构成。其中,BiGAT模型通过引入注意力机制以捕捉重要的谣言传播和散布特征;MlGAT模型通过在外部知识中增加多头注意力机制以获取关键的外部句子级证据知识和词语级证据知识;BiGAT和MlGAT的输出特征向量最终通过聚合模块生成谣言检测标签。[研究结论]在公开数据集上的实验结果显示,该文提出的模型优于现有的方法。

Generational Dynamics of Innovation Adoption in Chinese Consumer Markets: A Comprehensive Analysis

This extensive and comprehensive study delves into the intricate dynamics of generational responses to innovative marketing strategies within the dynamic landscape of the Chinese consumer market.Given China’s rapid economic growth and technological advancements,it has become imperative for businesses and marketers to grasp how different generations engage with marketing innovations.This study encompasses Baby Boomers,Generation X,Millennials,and Generation Z,each shaped by unique life experiences and societal contexts,resulting in distinct preferences and behaviors.Furthermore,the study offers a thorough analysis of how diverse generations in China interact with and respond to innovative marketing strategies,providing academic researchers and businesses operating in the rapidly evolving Chinese consumer marketing landscape with actionable insights.Understanding these generational dynamics is crucial for developing marketing strategies that resonate with diverse generational segments and harnessing the power of technology to connect with consumers across all age groups.The dynamic landscape is further enriched by the proliferation of digital technologies,social media platforms,and e-commerce ecosystems.This study scrutinizes how these generational cohorts interact with innovation in marketing,considering preferences,technological adoption patterns,cultural influences,and attitudes toward trust and privacy.Additionally,it examines generational disparities in marketing channel preferences,offering valuable insights for companies aiming to tailor their marketing strategies to effectively engage diverse generational segments in China.Importantly,this research underscores the strategic significance of understanding generational differences in marketing innovation adoption.It emphasizes that this knowledge is not solely an academic pursuit but rather a critical necessity for companies seeking to thrive in one of the most competitive consumer markets globally.By acknowledging and responding to the distinct preferences and behaviors of various generational cohorts,businesses can forge meaningful connections,optimize return on investment,and adeptly navigate the evolving consumer landscape.

平台型企业社会责任研究的现状与发展趋势——基于Cite Space的文献可视化分析

借助可视化软件Cite Space,对中国平台型企业社会责任研究基本状况(含发文量、作者、研究机构)、研究热点、演化路径进行了详细分析。研究发现:近年来平台型企业社会责任研究成果呈现小幅增长的趋势;领域中的核心作者合作网络初步形成,但机构之间缺乏良好的合作;现有研究主要围绕平台型企业社会责任的正当合理性、内容边界与实践范式等展开。未来应从平台型企业社会责任的评价体系、基础理论与实证研究等方面,进一步拓展与深化平台型企业社会责任的研究。

预付式消费政府平台法律监管的治理路径

为应对预付式消费给传统监管体系提出的挑战,一些地方政府利用信息化、互联化的优势,探索建立统一的互联网监管平台。这些平台存在着备案参与度低、平台风险警示制度缺乏互联互通等困境,究其根源是由于政府管控型监管理念与风险预防逻辑不适应;监管权力配置模式过于僵化;制度规范滞后于监管需求;监管工具的创新性不足。为治理上述困境,亟需从政府管控监管理念转换为多元协同监管理念;构建“部门协同、社会共担”的监管权力配置格局;健全“风险预防、程序保障”为导向的监管规范体系;创新监管工具以提高风险预防的精准性等四个方面的改革路径,为治理政府主导型预付式消费互联网平台的监管困境提供思路。

“平台”与我国县域基层法治秩序的生成——浙江海宁社会治理实践的观察

基层社会治理“平台”是我国县域范围构建具有中国特色法治秩序的重要实践形式。在提升县域基层社会治理水平的过程中,平台被打造成一个由不同政府机构、不同社会组织与社会成员通过协调、协商、议论等方式博弈以解决与民生密切相关的各种类型问题的工作机制,客观上已经助力生成了法治秩序不可或缺的不同主体之间展开话语交流的公共空间。在浙江海宁,平台被用于促进实现公众与企业合法权利、改造和规范行使公共权力、保障社会稳定与居民安居乐业,以公开促公正公平,有效提升了法律在基层的实施能力。在法治建设正在寻求新的突破之际,有关平台建设的实践具有一定的可借鉴的普遍意义。

产能分享平台企业的盈利模式选择与定价研究

在分享经济背景下,考虑交叉网络外部性效用及平台匹配率,研究产能分享平台的盈利模式选择与定价问题。基于两阶段博弈方法,分析并比较了平台在利润最大化和社会福利最大化条件下选择服务费模式与注册费模式时获得的最大利润。研究发现,在目标时间段内,当平台以利润最大化为目标时,多数情况下选择注册费模式获得的最大利润高于选择服务费模式获得的利润。在特定条件下,也存在平台采取两种盈利模式会获得相同利润的情况。此外,平台最大利润在一定条件下与交叉网络外部性系数和平台对制造能力供应方的匹配率正相关,与对制造能力需求方的匹配率负相关。当平台以社会福利最大化为目标时,选择服务费模式获得的利润高于选择注册费模式时的利润。最后,通过数值算例对上述结果进行了验证。