Modeling Rumors in Twitter

2016 ◽  
Vol 3 (4) ◽  
pp. 46-67 ◽  
Author(s):  
Rhythm Walia ◽  
M.P.S. Bhatia

With the advent of web 2.0 and anonymous free Internet services available to almost everyone, social media has gained immense popularity in disseminating information. It has become an effective channel for advertising and viral marketing. People rely on social networks for news, communication and it has become an integral part of our daily lives. But due to the limited accountability of users, it is often misused for the spread of rumors. Such rumor diffusion hampers the credibility of social media and may spread social panic. Analyzing rumors in social media has gained immense attention from the researchers in the past decade. In this paper the authors provide a survey of work in rumor analysis, which will serve as a stepping-stone for new researchers. They organized the study of rumors into four categories and discussed state of the art papers in each with an in-depth analysis of results of different models used and a comparative analysis between approaches used by different authors.

2020 ◽  
pp. 192-215
Author(s):  
Rhythm Walia ◽  
M.P.S. Bhatia

With the advent of web 2.0 and anonymous free Internet services available to almost everyone, social media has gained immense popularity in disseminating information. It has become an effective channel for advertising and viral marketing. People rely on social networks for news, communication and it has become an integral part of our daily lives. But due to the limited accountability of users, it is often misused for the spread of rumors. Such rumor diffusion hampers the credibility of social media and may spread social panic. Analyzing rumors in social media has gained immense attention from the researchers in the past decade. In this paper the authors provide a survey of work in rumor analysis, which will serve as a stepping-stone for new researchers. They organized the study of rumors into four categories and discussed state of the art papers in each with an in-depth analysis of results of different models used and a comparative analysis between approaches used by different authors.


Author(s):  
Rhythm Walia ◽  
M.P.S. Bhatia

With the advent of web 2.0 and anonymous free Internet services available to almost everyone, social media has gained immense popularity in disseminating information. It has become an effective channel for advertising and viral marketing. People rely on social networks for news, communication and it has become an integral part of our daily lives. But due to the limited accountability of users, it is often misused for the spread of rumors. Such rumor diffusion hampers the credibility of social media and may spread social panic. Analyzing rumors in social media has gained immense attention from the researchers in the past decade. In this paper the authors provide a survey of work in rumor analysis, which will serve as a stepping-stone for new researchers. They organized the study of rumors into four categories and discussed state of the art papers in each with an in-depth analysis of results of different models used and a comparative analysis between approaches used by different authors.


Author(s):  
Yakup Durmaz ◽  
Elif Uysal Alagoz

The main purpose of thisresearch is to show how social media influence the consumption behaviors of university students in Turkey. This research is designed as a "screening model".  Screening models are research approaches that aim to describe the past or present as it exists. It is tried to define an event, individual or object under investigation as it is and, as if it is within its own conditions. No attempt is made to change or influence them in anyway. Social media has provided new opportunities for consumers to socialize online. Consumers have thus made social media a part of their daily lives. The increasing number of social media users worldwide is one of the most important indicators of this. The general status of the Internet allows individuals to use social media from e-mail to Twitter and Facebook, and interact without the need for physical meetings. The purpose of this research is to assess the effect of social media on consumer behaviors of university students, who are themselves consumers and social media users. In conclusion, the aim is to investigate the effect of using social networks on the pre-purchase consumer behavior of university students in social media.  


Information ◽  
2021 ◽  
Vol 12 (10) ◽  
pp. 409
Author(s):  
Panagiotis Kasnesis ◽  
Lazaros Toumanidis ◽  
Charalampos Z. Patrikakis

The widespread use of social networks has brought to the foreground a very important issue, the veracity of the information circulating within them. Many natural language processing methods have been proposed in the past to assess a post’s content with respect to its reliability; however, end-to-end approaches are not comparable in ability to human beings. To overcome this, in this paper, we propose the use of a more modular approach that produces indicators about a post’s subjectivity and the stance provided by the replies it has received to date, letting the user decide whether (s)he trusts or does not trust the provided information. To this end, we fine-tuned state-of-the-art transformer-based language models and compared their performance with previous related work on stance detection and subjectivity analysis. Finally, we discuss the obtained results.


2021 ◽  
Vol 26 (4) ◽  
Author(s):  
Mazen Mohamad ◽  
Jan-Philipp Steghöfer ◽  
Riccardo Scandariato

AbstractSecurity Assurance Cases (SAC) are a form of structured argumentation used to reason about the security properties of a system. After the successful adoption of assurance cases for safety, SAC are getting significant traction in recent years, especially in safety-critical industries (e.g., automotive), where there is an increasing pressure to be compliant with several security standards and regulations. Accordingly, research in the field of SAC has flourished in the past decade, with different approaches being investigated. In an effort to systematize this active field of research, we conducted a systematic literature review (SLR) of the existing academic studies on SAC. Our review resulted in an in-depth analysis and comparison of 51 papers. Our results indicate that, while there are numerous papers discussing the importance of SAC and their usage scenarios, the literature is still immature with respect to concrete support for practitioners on how to build and maintain a SAC. More importantly, even though some methodologies are available, their validation and tool support is still lacking.


Author(s):  
Yi Song ◽  
Xuesong Lu ◽  
Sadegh Nobari ◽  
Stéphane Bressan ◽  
Panagiotis Karras

One is either on Facebook or not. Of course, this assessment is controversial and its rationale arguable. It is nevertheless not far, for many, from the reason behind joining social media and publishing and sharing details of their professional and private lives. Not only the personal details that may be revealed, but also the structure of the networks are sources of invaluable information for any organization wanting to understand and learn about social groups, their dynamics and members. These organizations may or may not be benevolent. It is important to devise, design and evaluate solutions that guarantee some privacy. One approach that reconciles the different stakeholders’ requirement is the publication of a modified graph. The perturbation is hoped to be sufficient to protect members’ privacy while it maintains sufficient utility for analysts wanting to study the social media as a whole. In this paper, the authors try to empirically quantify the inevitable trade-off between utility and privacy. They do so for two state-of-the-art graph anonymization algorithms that protect against most structural attacks, the k-automorphism algorithm and the k-degree anonymity algorithm. The authors measure several metrics for a series of real graphs from various social media before and after their anonymization under various settings.


Author(s):  
Monique Valcour ◽  
Suzanne De Janasz

The widespread use of social media over the past few years has dramatically altered how individuals communicate and engage with one another. Some academics have begun to embrace this development as an opportunity to engage with people outside of academia and to make an impact on the issues that consume our thinking as work–family scholars. Although social media are now pervasive, many scholars are unsure of how to utilize social networks, blogs, and other nonacademic outlets in valuable and meaningful ways. We offer a variety of strategies to help academics craft their own course for harnessing the power of new forms of technology-mediated communication to amplify the impact of their scholarship as well as to enrich their research, learning, and teaching.


Author(s):  
Veronika Karnowski ◽  
Katharina Knop-Huelss ◽  
Zoe Olbermann

Over the past three decades our media ecologies have changed substantially, not at least changing the ways in which we get in touch with the news. These changes have led both to high hopes for more equality in news access and a better-informed electorate, as well as fears of news avoidance, filter bubbles, and increasing knowledge gaps, with recent empirical evidence leaning towards rather pessimistic perspectives. However, most of the research to date focusses on one specific kind of news access, e.g., news consumption via social media, and its effects, neglecting the fact that users combine several ways to access the news throughout their daily lives, creating their individual media use repertoires. In order to disentangle these variances within our daily lives from differences between users, we need to analyze access to news on a situational level. Being meta-media, mobile media constitute an excellent microcosmos to study situational variability in news access. Hence, we investigated the situational types of mobile news access in young adults’ daily lives as well as their mobile news repertoires based on the previously identified situational access types. To do so, we conducted an experience sampling study among young adults in Germany. Our results highlight that differences within (mobile) news use should not only be studied as differences between people, but also as variances within users’ daily lives. For example, we see that no mobile news repertoire in our study solely relies on news access via intermediaries such as social media.


Author(s):  
Oleg Igorevich Odnoral

The object of this research is the process of creating political discourse, setting the “agenda” via social media as foreign policy instrument and a threat to national security of the country. The article explores the role of the online platform in shaping public opinion and discourse in political interests. The subject of this research is the social media (social networks, video and image hosting services, blogs, etc.) Particular attention is given to structurization of the concept of social media, social networks as the instruments that form social reality and affect public opinion. Emphasis is placed on the technical aspects of the types of social networks, control, thereof. Comparative analysis is conducted on the practice of using Internet resources in China, and experience of creating the Golden Shield Project. The scientific novelty of consists in the cross-scientific analysis on the basis of the interpretive pattern of social constructionism, what distinguishes this work from the vast majority of similar research of dedicated to the use of social media as an instrument of political technologies and PSYOP. Being a cross-scientific analysis at the intersection of IT (information technology), international relations (political science), and social psychology, the study leans on the theoretical concepts of political realism and neorealism, psychological constructivism and behavioral psychology. The author underlines the importance of comprehensive approach towards leveling the potential threats of using social media as an instrument of PSYOP. First and foremost, it pertains to the development of a coherent all-encompassing system with ideological and value foundation for creating the discourse. The article describes the relevant approaches towards the “sovereign Internet"; carries out comparative analysis of the Chinese experience and Russian ineffective initiatives, such as blocking separately resources, shortage of public-private partnership in the IT sector (by analogy with the extremely successful experience of China in this sphere). The author offers a general frame of possible steps on ensuring national security in the online platform of social media.


2021 ◽  
Vol 5 (3) ◽  
pp. 172-180
Author(s):  
D. Klyuchevskiy

The purpose of this article is to analyze the experience of using social networks as a political marketing tool in the US presidential elections. This article partially touches upon the global topic of marketization and digitalization of both the political process in general and at the level of the US presidential election. The paper highlights the changing role of social media as a policy tool, which today has become not only a tool for distributing content, but also one of the tools for analyzing data from the electorate. The author explores the possibilities of social networks, their strengths and weaknesses and development prospects in the field of political marketing. The work touches upon the role of social networks in the formation of «Electronic Democracy», their impact on the candidate's image and the relationship with the personalization of politics in the United States. The main method in the article is comparative analysis. The result was the definition of the role, key features of the mentioned social networks in the field of modern politics. A certain theoretical contribution is seen in the argumentation of the following observations: the speed of interaction between the candidate and the voter through social networks has increased, in addition, the area of image-making has been partially «digitalized». It was revealed that technologies of information influence on American voters, which positively influenced the results of the 2016 presidential election for the Republican candidate, lowered D. Trump's ratings during the 2020 elections.


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