scholarly journals Spread of Misinformation in Social Networks: Analysis Based on Weibo Tweets

2021 ◽  
Vol 2021 ◽  
pp. 1-23
Author(s):  
Han Luo ◽  
Meng Cai ◽  
Ying Cui

Social networks are filled with a large amount of misinformation, which often misleads the public to make wrong decisions, stimulates negative public emotions, and poses serious threats to public safety and social order. The spread of misinformation in social networks has also become a widespread concern among scholars. In the study, we took the misinformation spread on social media as the research object and compared it with true information to better understand the characteristics of the spread of misinformation in social networks. This study adopts a deep learning method to perform content analysis and emotion analysis on misinformation dataset and true information dataset and adopts an analytic network process to analyze the differences between misinformation and true information in terms of network diffusion characteristics. The research findings reveal that the spread of misinformation on social media is influenced by content features and different emotions and consequently produces different changes. The related research findings enrich the existing research and make a certain contribution to the governance of misinformation and the maintenance of network order.

Sensors ◽  
2020 ◽  
Vol 20 (24) ◽  
pp. 7115
Author(s):  
Amin Muhammad Sadiq ◽  
Huynsik Ahn ◽  
Young Bok Choi

A rapidly increasing growth of social networks and the propensity of users to communicate their physical activities, thoughts, expressions, and viewpoints in text, visual, and audio material have opened up new possibilities and opportunities in sentiment and activity analysis. Although sentiment and activity analysis of text streams has been extensively studied in the literature, it is relatively recent yet challenging to evaluate sentiment and physical activities together from visuals such as photographs and videos. This paper emphasizes human sentiment in a socially crucial field, namely social media disaster/catastrophe analysis, with associated physical activity analysis. We suggest multi-tagging sentiment and associated activity analyzer fused with a a deep human count tracker, a pragmatic technique for multiple object tracking, and count in occluded circumstances with a reduced number of identity switches in disaster-related videos and images. A crowd-sourcing study has been conducted to analyze and annotate human activity and sentiments towards natural disasters and related images in social networks. The crowdsourcing study outcome into a large-scale benchmark dataset with three annotations sets each resolves distinct tasks. The presented analysis and dataset will anchor a baseline for future research in the domain. We believe that the proposed system will contribute to more viable communities by benefiting different stakeholders, such as news broadcasters, emergency relief organizations, and the public in general.


2017 ◽  
Vol 51 (1) ◽  
pp. 228-242 ◽  
Author(s):  
Jamie Johnston ◽  
Ragnar Audunson

Using Habermas’ theory of the public sphere, this article examines the potential of conversation-based programming (e.g. conversation groups and language cafes) in public libraries to bring immigrant voices into the public sphere and thereby to facilitate their political integration. To both support and illustrate the theoretical explorations of the article, research findings are presented from a study on language cafes and integration at Oslo and Akershus University College, Norway. Four ways in which the language cafes can support immigrants’ political integration and the formation of a comprehensive public sphere include the fostering of linguistic competence, expansion of social networks, promotion of information exchange relevant to political integration, and facilitation of ‘messy conversation’.


Author(s):  
Anatoliy Gruzd

The paper investigates whether or not political polarization exists in social media by using social networks analysis to analyze a sample of 1,492 users on Twitter.com, a popular microblogging platform, during the 2011 Canadian Federal Election.


2020 ◽  
Author(s):  
Kimia Pourmohammadi ◽  
Seyyed Hakimzadeh ◽  
Pivand Bastani

BACKGROUND Under these circumstances, social media is constantly covering the news and the related information via films, voices, clips, and texts; however, these reports are sometimes challenging outbreak response efforts. For instance, the misinformation and conspiracy theories spread via social media have generated panic and mistrust among the general public, diverted attention away from the outbreak response, and impeded the activities of health-care workers (6). Another evidence shows that many public safety agencies and organizations face the challenge of reducing the spread of false information distributed via social media (9). Accordingly, the aim of this study was to analyze the contents of information shared via virtual social media over the three weeks since the formal confirmation of COVID-19 outbreak in the Islamic Republic of Iran. OBJECTIVE According to the effective role of social media in communicating risk information to the public, the aim of this study was to analyze the contents of information shared via virtual social media over the three weeks since the formal confirmation of COVID-19 outbreak in the Islamic Republic of Iran. METHODS This qualitative discourse analysis was conducted on the contents of three more common virtual social networks (Instagram, WhatsApp, and Telegram) from Feb20 to March 11, 2020 in Iran. Four steps of defining the research question and selecting the content of analysis, gathering information and theory on the context, analyzing the content for themes and patterns and reviewing the results and drawing conclusions were conducted. RESULTS Based on the results, the contents of social media in the analysis duration were allocated four main categories related to the COVID-19 outbreak including political, social, health, and economic issues CONCLUSIONS It seems that all three social Medias have an effective role to share public information, especially those that are related to the public health and health education but at the same time, the analyzed social media have created the sense of panic and fear, particularly in the scopes of social, economic, and political issues.


Author(s):  
Carlos Figueroa ◽  
Abraham Otero

Until recently, a company's communications with the public were unidirectional and mostly limited to advertisements in mass media. This gave companies almost complete control over their brand and image. Nowadays, a new set of media, in which the public has similar capabilities for creating content as companies has emerged: social media. The growth of this medium has been exponential, endowing it with a reach that can dwarf traditional mass media. Having or not having a presence in such media is not just a choice of the company. The company's customers and the general public can generate content related to a company without the company’s consent. There is no way for the company to avoid it. All they can do is listen to the conversations, engage in them, and try to dampen negative feelings while steering the overall conversation in positive directions. Given the size of social networks and the large number of conversations that they support on a daily basis, manual monitoring is impossible. In this chapter, the authors review and evaluate various tools to support the tasks of monitoring and managing the content of social media that is relevant for a company, a brand, or a product.


Author(s):  
Eri Hariyanto

Sukuk Negara is one of the sharia-based financing instruments issued by the government to meet the budget deficit. This study aims to identify priority issues in the development of Sukuk Negara to enhance the role of Sukuk Negara in supporting government infrastructure financing. From the results of data management using the Analytic Network Process (ANP) method, it is known that several priority problems include the issuance of Sukuk Negara financing limited to central government projects, the lack of quality and quantity of Islamic finance human resources compared to conventional finance, and the low interest in public investment in Islamic financial instruments. The priority of the solution is the need to make regulations that allow Sukuk Negara to finance PPP project financing schemes, increase innovation and quality of sukuk products so that they are able to achieve the set targets, and foster public investment interest. Thus, the strategy in supporting the government's infrastructure development is to increase the proportion of SBSN issuance, increase socialization and communication to the public, and diversify underlying assets.


Author(s):  
S. S. Kumar ◽  
S. Reddy ◽  
S. Saran ◽  
S. Kocaman

<p><strong>Abstract.</strong> With as many as one third of population have become social media users exchanging information, thanks to low cost smart phones availability and social messaging platforms like Facebook, Twitter, WhatsApp, Instagram etc., TrendyInsight will play a major role on listening the public concern on local or regional issues bothering them for the government authorities to learn and prepare the remedial action. Similarly, businesses of consumer industries will be benefited from TrendyInsight for better customer services.</p><p><i>TrendyInsight</i> – an application software designed and developed to work in iOS platform to capture trending topics from various social networks websites based on user location and present it in graphically on map. The application utilizes the uniqueness of each social network data through Application Program Interface (API) requests based on the trend. The application eliminates the need of user login to access the public data of these social networks. The application provides other experience enhancement features like showing user’s current location, updating the trending data every interval of time, searching for custom location, getting data for any custom hashtag, and settings tab to customize the type of data to be received from the social network APIs. The application was built on Swift 4 and deployment target operating system is iOS 11.</p>


2021 ◽  
Author(s):  
Mary Zajac

June 15, 2011 marked the date of the Vancouver riots that followed the Canucks loss of the Stanley Cup final. Social media as a form of communication between the public and police was a distinguishing feature during the 2011 riots, and is compared to the context of a similar Vancouver riot occurring in 1994. Through the review of literature on the criminal justice system, crowdsourcing, social media as a tool in policing, surveillance, language on Facebook and Facebook as a communication tool I explore the practice of communication as it unfolds on the Facebook group, “Vancouver Riot Pics: Post Your Photos” and examine the efficacy of this communication tool. The Facebook comments underneath the uploaded images are evaluated through a content analysis. Five Facebook images and there associated comment threads are collected in chronological order for the sample based on the outlined criteria of: 25-40 comments, a non-manipulated image, and being published in either the Globe and Mail or the National Post online news source. Erving Goffman’s theoretical orientation of frame analysis is applied to understanding the development of the Facebook comments; more specifically his concept of the social primary framework is directly related to the intended purpose outlined by the Facebook group. The purpose of “Vancouver Riot Pics: Post Your Photos” is to identify rioters through the public’s contribution of images and Facebook comments. Research findings suggest that the intended purpose of the Facebook group is achieved, as there is a significant emergence of the frames identification and crowdsourcing; therefore, Facebook is deemed a helpful tool in police investigation.


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