scholarly journals An Application of Big Data in Social Media Anomaly Detection using Weight Based Technique to Compare Performance of PIG and HIVE

2019 ◽  
Vol 8 (10) ◽  
pp. 2492-2497
Keyword(s):  
Social Media ◽  
Big Data ◽  
Experimental Analysis ◽  
The Other ◽  
Sensitive Information ◽  
Data Handling ◽  
Twitter Data ◽  
Huge Data ◽  
The Social ◽  
A New Technique

Social media is become one of the most popular application. Commonly social media is used for communication and social activities. Thus a significant amount of data is produced in these platforms and handling of these data requires advance data handling techniques thus big data is used to deal with such huge data. On the other hand, now in these days attackers and phishers are also active on social media. These attackers create fake profiles and trap the users to still their confidential and sensitive information. In this context the fake profiles are one of the serious problems in these days in social media. In this presented work a new technique for detecting the social media anomaly profile is prepared and their implementation is described in this paper. In addition of that the experimental analysis on real twitter profiles are also performed for 1200 profile features. To process these data two BIG data utilities are used namely PIG and HIVE is used. These profile features are collected from the live twitter data and evaluation of different profiles. The experimental results are compared for both the utilities (i.e. PIG and Hive) to demonstrate the successfully identification of legitimate and anomaly profiles.

scholarly journals Enhanced Cyber Security for Big Data Challenges

2019 ◽  
Vol 8 (10) ◽  
pp. 3478-3481
Keyword(s):  
Social Media ◽  
Big Data ◽  
Private Information ◽  
Cyber Security ◽  
Data Bank ◽  
Cyber Attacks ◽  
Sensitive Information ◽  
Digital Information ◽  
Security Issues ◽  
The Social

In recent years mining of data from social media is attracting more attention due to the explosion in the growth of Big Data. In security, Big Data deals with collection of huge digital information for analyzing, visualizing and to draw the insights for the prediction & prevention of cyber attacks. The Big Data mined about an enterprise from the data cloud, if properly analyzed reveals the private information which is highly risky. Maintaining the privacy of users of social media is the major challenge with respect to the security issues. As the data is generally stored in a data cloud, a boundary of trust must be established between the social media users and the data bank owners. Hence there is requirement of developing an efficient protocol for sharing of data. To secure the sensitive information of the user, data mining can be used along with an effective algorithm. This paper proposes the technique of code inline parsing to make the data more secure from the attacks & cyber hacks along with the SQL injections such that the data on the social media is secured. The proposed method secures the platform of Big Data which protects the user’s sensitive information.

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.

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.

scholarly journals Big Data Social Media Analytics for Purchasing Behaviour

2018 ◽  
Vol 7 (4.36) ◽  
pp. 463
Author(s):  
Shahid Shayaa ◽  
Ainin Sulaiman ◽  
Arsalan Zahid Piprani ◽  
Mohammed Ali Al-Garadi ◽  
Muhammad Ashraf
Keyword(s):  
Social Media ◽  
Big Data ◽  
Social Media Analytics ◽  
Purchasing Behavior ◽  
The Social ◽  
Purchasing Behaviour

The social media is rich in data and of late its data have been used for various types of analytics. This paper examines the purchasing behavior and sentiments of social media users from Jan - 2015 to Dec – 2016. The purchasing behaviour of the users is categorized into five: buy car, buy house, buy computer, buy hand phone and going for holiday. The paper will also demonstrate the trend of each individual category. The results of the analysis would provide businesses information on the social media users’ purchasing behavior, their sentiment thus allowing them to take more appropriate strategies to enhance their competitiveness.  

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.

Aporia and Wonder in the Age of Big Data

2019 ◽  
Vol 23 (2) ◽  
pp. 137-152
Author(s):  
Murray Skees ◽  
Keyword(s):  
Social Media ◽  
Big Data ◽  
Media Use ◽  
Internet User ◽  
The Other ◽  
The Internet ◽  
Social Media Use ◽  
Other Hand

My argument in this paper is given in two parts. In Part I, I review the ancient understanding of aporia, focusing on works by Plato and Aristotle. I illustrate two ways of understanding aporia: “cathartic” and “zetetic.” Cathartic aporia refers to the experience of being purged of hubris and ignorance through the dialectic. Zetetic aporia, on the other hand, requires us to engage in, recognize, and work through certain philosophical puzzles or problems. In Part II, I discuss the idea of Big Data and then argue that in the “age of answers” neither conception of aporia appears to be necessarily cultivated by the average Internet user. Our experience of wonder suffers when we rely so heavily on the Internet as a “surrogate expert,” and when our social media use betrays the fact that we always seem to gravitate towards the like-minded.

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