Structure-Based Analysis of Different Categories of Cyberbullying in Dynamic Social Network

2020 ◽  
Vol 14 (3) ◽  
pp. 1-17
Author(s):  
Geetika Sarna ◽  
M. P. S. Bhatia
Keyword(s):  
Social Media ◽  
State Of The Art ◽  
Anomalous Behavior ◽  
The Other ◽  
Subtractive Clustering ◽  
Dynamic Social Network ◽  
Or Groups ◽  
The Social ◽  
Fuzzy C Means Clustering ◽  
Audio Video

Cyberbullying is the online fight between individuals or groups, and it can be viewed like harassment, rumor, denigration, exclusion, etc. Social networks are the main source of cyberbullying as various types of users interact with each other through text, audio, video, and images. One set of users uses the social media for the benefit of the whole society and the other set of users uses the social media for destructive purpose in the form of spreading rumors, harassment or to threaten others, etc., which is also called anomalous behavior. This article worked to detect the anomalous patterns using an exponential function and then proceeds to find the category of cyberbullying to which user belongs using subtractive clustering and fuzzy c-means clustering. The identification of category helps to find the extent to which these messages are harmful and based on which the culprit is apprehended or entrapped. State-of-the-art studies are focused on the detection of cyberbullying but this article captured different categories of cyberbullying.

Spam Detection on Social Media Using Semantic Convolutional Neural Network

2018 ◽  
Vol 8 (1) ◽  
pp. 12-26 ◽  
Author(s):  
Gauri Jain ◽  
Manisha Sharma ◽  
Basant Agarwal
Keyword(s):  
Neural Network ◽  
Social Media ◽  
Convolutional Neural Network ◽  
State Of The Art ◽  
Spam Detection ◽  
Learning Technology ◽  
The Social ◽  
Social Media Text ◽  
Current Article ◽  
Semantic Layer

This article describes how spam detection in the social media text is becoming increasing important because of the exponential increase in the spam volume over the network. It is challenging, especially in case of text within the limited number of characters. Effective spam detection requires more number of efficient features to be learned. In the current article, the use of a deep learning technology known as a convolutional neural network (CNN) is proposed for spam detection with an added semantic layer on the top of it. The resultant model is known as a semantic convolutional neural network (SCNN). A semantic layer is composed of training the random word vectors with the help of Word2vec to get the semantically enriched word embedding. WordNet and ConceptNet are used to find the word similar to a given word, in case it is missing in the word2vec. The architecture is evaluated on two corpora: SMS Spam dataset (UCI repository) and Twitter dataset (Tweets scrapped from public live tweets). The authors' approach outperforms the-state-of-the-art results with 98.65% accuracy on SMS spam dataset and 94.40% accuracy on Twitter dataset.

scholarly journals Loodus tuleb tagasi: delfiinid ja saurused. Libauudistest, photoshop-muistenditest ja meemidest koroonakarantiini ajal

Mäetagused ◽  
2021 ◽  
Vol 79 ◽  
pp. 167-184
Author(s):  
Eda Kalmre ◽  
Keyword(s):  
Social Media ◽  
Coping Strategies ◽  
Well Being ◽  
Point Of View ◽  
Human Existence ◽  
The Other ◽  
Fake News ◽  
The Social ◽  
Truth Value ◽  
Positive Effect

The article follows the narrative trend initiated by the social media posts and fake news during the first months of the corona quarantine, which claims that the decrease of contamination due to the quarantine has a positive effect on the environment and nature recovery. The author describes the context of the topic and follows the changes in the rhetoric through different genres, discussing the ways in which a picture can tell a truthful story. What is the relation between the context, truth, and rhetoric? This material spread globally, yet it was also readily “translated” into the Estonian context, and – what is very characteristic of the entire pandemic material – when approaching this material, truthful and fabricated texts, photos, and videos were combined. From the folkloristic point of view, these rumours in the form of fake news, first presented in the function of a tall tale and further following the sliding truth scale of legends, constitute a part of coping strategies, so-called crisis humour, yet, on the other hand, also a belief story presenting positive imagery, which surrounds the mainly apocalyptically perceived pandemic period and interprets the human existence on a wider scale. Even if these fake news and memes have no truth value, they communicate an idea – nature recovers – and definitely offer hope and a feeling of well-being.

scholarly journals Application of social network analysis for determining the suitable social media influencers

2021 ◽  
Vol 10 (6) ◽  
pp. 348-354
Author(s):  
Mochamad Yudha Febrianta ◽  
Yusditira Yusditira ◽  
Sri Widianesty
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Marketing Strategy ◽  
Marketing Strategies ◽  
The Other ◽  
Social Media Marketing ◽  
Other Hand ◽  
The Social

Virtual Hotel Operator (VHO) trend is growing rapidly, especially in Indonesia. Two of the most popular VHO in Indonesia are OYO and RedDoorz, both have been competing to attain the first position. Both OYO and RedDoorz have their own social media marketing strategies. For example, OYO persuades other conventional hotels to collaborate and use the OYO platform in their businesses. On the other hand, RedDoorz was recorded as the most visited Virtual Hotel Operator Platform in 2019, based on the data of Konsumen Jakpat 2019. OYO and RedDoorz also utilize social media to promote their services such as Instagram and Twitter. For advertising their businesses in social media, OYO and RedDoorz often use some social media influencers or known as influencer social media marketing. Influencers should be able to effectively deliver the messages and influence people’s decisions to use the products or services they advertise. This study aims to further explore the social media marketing strategy employed by OYO and RedDoorz. The results of Social Network Analysis by using “oyoindonesia” and ‘reddoorz’ as keywords in social media Twitter showed that RedDoorz has a bigger social network and more users involved in spreading their information than OYO. On the other hand, OYO's official account on Twitter is more efficient in performing its function as marketing media.

Hyperreality of #BlackLivesMatter Movement on Social Media

2021 ◽  
Vol 37 (3) ◽  
pp. 288-303
Author(s):  
Ghozian Aulia Pradhana ◽  
◽  
Syaifa Tania ◽  
Keyword(s):  
Social Media ◽  
African American ◽  
Content Analysis ◽  
Social Networking ◽  
Social Movement ◽  
Social Networking Sites ◽  
The Other ◽  
The Social ◽  
True Meaning ◽  
Social Media Platforms

This study aims to reveal how hyperreality is reflected in using the #BlackLivesMatter hashtag on social media. The death of an African-American, George Floyd, that involved white police, has sparked outrage and demonstrations in many U.S. states. Issues pertaining to racism sparked in relation to the event, and many people protested demanding justice. The demand for justice then went into a wave of massive global protests both in offline and online realities—the #BlackLivesMatter hashtag was widely used on social media when protests were held. The #BlackLivesMatter hashtag even became a trending topic on several social media platforms, as if everyone was concerned about the issue and aiming for the same purpose. However, we might find several posts that neither reflected nor were related to the case. Some social media users put the hashtag even though their content substance was not related. This phenomenon then led to a condition of hyperreality in questioning reality from a simulation of reality. The method used in this study is content analysis which measures the sentiment of comments on Twitter and Instagram. The study found that social networking sites mobilised online movements even though they were not directly related to the #BlackLivesMatter movement. On the other hand, hashtag activism reduced the true meaning of the social movement. Therefore, the hyperreality in #BlackLivesMatter could not be seen any longer as a form of massive protests demanding justice and ending violence, but merely to gain more digital presence on social media. Keywords: Black lives matter, movement, social media, hyperreality, hashtag activism.

On the Privacy and Utility of Anonymized Social Networks

2013 ◽  
Vol 4 (2) ◽  
pp. 1-34 ◽  
Author(s):  
Yi Song ◽  
Xuesong Lu ◽  
Sadegh Nobari ◽  
Stéphane Bressan ◽  
Panagiotis Karras
Keyword(s):  
Social Networks ◽  
Social Media ◽  
State Of The Art ◽  
Social Groups ◽  
Trade Off ◽  
Private Lives ◽  
The Social ◽  
Before And After ◽  
Do So

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.

An Approach to Distinguish Between the Severity of Bullying in Messages in Social Media

2016 ◽  
Vol 3 (4) ◽  
pp. 1-20 ◽  
Author(s):  
Geetika Sarna ◽  
M.P.S. Bhatia
Keyword(s):  
Social Media ◽  
Preventive Measures ◽  
State Of The Art ◽  
Negative Information ◽  
Security And Privacy ◽  
Multimedia Content ◽  
The Real ◽  
The Social

Users on the social media can share positive as well as negative information intentionally and unintentionally in the form of multimedia content without knowing its impact on other user, which threatens the security and privacy of social media. Cyberbullying is one of the risks associated with social media. Cyberbullying is an aggressive act carried out intentionally against the victim by posting harmful material on social media to harm his/her reputation. Aggressive act creates depression, anxiety in users which may lead to diversion of attention and sometimes suicidal actions. In this paper the authors have included a survey on recent algorithms which work on detection of cyberbullying. State-of-the-art studies only focus on the detection of cyberbullying but not on the preventive measures against cyberbullying. In order to tackle this problem, the authors showed how the severity of the bullying in messages helps to find the real culprit.

The Influence of Modern Media on the Development of Fan Groups and the Promotion of Hooliganism

2016 ◽  
Vol 3 (2) ◽  
pp. 52-62
Author(s):  
Miljana Nikolic
Keyword(s):  
Social Media ◽  
Modern Society ◽  
The Other ◽  
The Internet ◽  
Sport Fans ◽  
Modern Media ◽  
Political Relations ◽  
The Social ◽  
High Level

SummarySince the first sport duels, and with the development of sport through the ages, there were sport fans that cheered either for one or the other opponent and in that way they showed their sympathy. As the time passed, they organized themselves in fan groups, and they became not only an agent of socialization, but also a very important factor in directing social happenings. Hooliganism was created in modern society, and it had devastating effects on both sport and socially-political relations. The functioning of the fan groups that embraces hooliganism, demands high level of organization, so the modern media became a major tool of communication. The aim of this work is to determine in which way, not only the modern media but more importantly the internet sites and the social media of the fan groups, have been used for not only promoting and giving information about their actions, goals and attitude but also promotion of hooliganism.

Is Social Media Use Socially Enhancing or Compensating?

2020 ◽  
Vol 15 (3) ◽  
pp. 269-288
Author(s):  
Rahul Gadekar ◽  
Peng Hwa Ang
Keyword(s):  
College Students ◽  
Social Media ◽  
Media Use ◽  
The Other ◽  
Social Media Use ◽  
Face To Face ◽  
The Social ◽  
Use Of Social Media ◽  
Manova Analysis ◽  
Compensation Hypothesis

Who benefits more from the use of social media—those who are already socialable and have a wide network of friends or those who do not and so seek to make up for their deficiency by going online? The social enhancement hypothesis says that extroverts benefit more through being able to enlarge their network of friends online more than introverts. The social compensation hypothesis, on the other hand, argues that social media use benefits introverts more; shy users who avoid face-to-face communication can communicate freely online. MANOVA analysis of the survey of 1,392 college students in a western state of India who are Facebook users found evidence predominantly for the social enhancement hypothesis.

scholarly journals ‘Whose context collapse?’: Ethical clashes in the study of language and social media in context

2017 ◽  
Vol 8 (2-3) ◽  
pp. 169-189 ◽  
Author(s):  
Alexandra Georgakopoulou
Keyword(s):  
Social Media ◽  
New Media ◽  
Wide Distribution ◽  
The Other ◽  
Contextual Analysis ◽  
News Stories ◽  
The Social ◽  
Communication Practices ◽  
Media Research ◽  
The One

AbstractThe longstanding tradition of the examination of language and discourse in context has not only spurred the turn to issues of context in language and new media research but it has also led to numerous methodological and analytical deliberations, for instance regarding the roles and nature of digital ethnography and the need for an adaptive, ‘mobile’ sociolinguistics. Such discussions center around social media affordances and constraints of wide distribution, multi-authorship and elusiveness of audiences which are often described with the term ‘context collapse’ (Marwick and boyd 2011; Wesch 2008). In this article, I argue that, however helpful the insights of such studies may have been for linking social media affordances and constraints with users’ communication practices, the ethical questions of where context collapse leaves the language-in-context analysts have far from been addressed. I single out certain key challenges, which I view as ethical clashes, that I experienced in connection with context collapse in my data of the social media circulation of news stories from crisis-stricken Greece. I argue that these ethical clashes are linked with context collapse processes and outcomes on the one hand and sociolinguistic contextual analysis priorities on the other hand. I put forward certain proposals for resolving these clashes arguing for a discipline-based virtue ethics that requires researcher reflexivity and phronesis.

Digitalisierung und Nachbarschaft

2019 ◽  
Keyword(s):  
Social Media ◽  
Digital Media ◽  
Local Community ◽  
Social Science Research ◽  
Science Research ◽  
The Other ◽  
The Internet ◽  
The Social ◽  
The One ◽  
The Relationship

There has hardly been any other development that has changed our everyday lives as significantly as digitalisation, and there is hardly anything as commonplace as neighbourship. Despite the links between these two concepts growing, they have been neglected in social science research in Germany so far. The prevailing sentiment is that the Internet and social media sites have no connection to the real world, but there are countless neighbourship groups on Facebook, Twitter hashtags named after neighbourhoods or entire websites, such as ‘nebenan.de’, which endeavour to strengthen local community bonds through digital means. In short, the social developments in this respect are already considerably more advanced than the knowledge that exists about it. This anthology makes a fundamental contribution to the sociological debate on digitalisation and neighbourship by aiming to provide an overview of the relationship between digitalisation and neighbourship on the one hand, and open up avenues for further research on the other. It therefore examines and systematises attempts to strengthen local community bonds using digital media from different perspectives.

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