Towards Detection of Botnet Communication through Social Media by Monitoring User Activity

2011 ◽  
pp. 131-143 ◽  
Author(s):  
Pieter Burghouwt ◽  
Marcel Spruit ◽  
Henk Sips
Keyword(s):  
Social Media ◽  
User Activity

scholarly journals Social Media Strategies of Right-Wing Movements - The Radicalization of Pegida

2018 ◽  
Author(s):  
Carsten Schwemmer
Keyword(s):  
Social Media ◽  
Public Sphere ◽  
Right Wing ◽  
Public Attention ◽  
The Public ◽  
News Reports ◽  
Exogenous Shocks ◽  
User Activity ◽  
Social Media Platforms ◽  
The Public Sphere

This paper investigates how right-wing movements strategically utilize social media for communication with supporters. I argue that movements seek to maximize user activity on social media platforms for increasing on-site mobilization. To examine what factors affect social media activity and how right-wing movements strategically adjust their content, I analyze the German right-wing movement Pegida, which uses Facebook for spreading its anti-Islam agenda and promoting events in the Internet. Data from Pegida’s Facebook page are combined with news reports over a period of 18 months to measure activity on Facebook and in the public sphere simultaneously. Results of quantitative text and time series analysis show that the quantity of posts by Pegida does not increase user activity, but it is the content of posts that matters. Moreover, findings highlight a strong connection between Facebook activities and the public sphere. In times of decreasing public attention, the movement changes its social media strategy in response to exogenous shocks and resorts increasingly to radical mobilization methods.

scholarly journals Detecting Spam Bots on Social Network

2021 ◽  
Vol 11 (2) ◽  
pp. 850-860
Author(s):  
A. Gnanasekar
Keyword(s):  
Social Media ◽  
Social Network ◽  
Online Social Networks ◽  
Online Social Network ◽  
Detection Accuracy ◽  
Social Media Site ◽  
User Activity ◽  
A New Technique ◽  
User Knowledge ◽  
Being Moved

Bots have made an appearance on social media in a variety of ways. Twitter, for instance, has been particularly hard hit, with bots accounting for a shockingly large number of its users. These bots are used for nefarious purposes such as disseminating false information about politicians and inflating celebrity expectations. Furthermore, these bots have the potential to skew the results of conventional social media research. With the multiple increases in the size, speed, and style of user knowledge in online social networks, new methods of grouping and evaluating such massive knowledge are being explored. Getting rid of malicious social bots from a social media site is crucial. The most widely used methods for identifying fraudulent social bots focus on the quantitative measures of their actions. Social bots simply mimic these choices, leading to a low level of study accuracy. Transformation clickstream sequences and semi-supervised clustering were used to develop a new technique for detecting malicious social bots. This method considers not only the probability of user activity clickstreams being moved, but also the behavior's time characteristic. The detection accuracy for various kinds of malware social bots by the detection technique assisted transfer probability of user activity clickstreams will increase by a mean of 12.8 percent, as per results from our research on real online social network sites, compared to the detection method funded estimate of user behaviour.

scholarly journals The Design of the SBMPTN Tryout System on the Official Website of the Tutoring Institute “Road to PTN”

2021 ◽  
Vol 1 (2) ◽  
Author(s):  
Lalu Ryan Ravisafitra ◽  
Rina Dewi Indahsari
Keyword(s):  
Social Media ◽  
Complete Information ◽  
Functional Testing ◽  
Test Results ◽  
User Testing ◽  
The Road ◽  
User Activity ◽  
On The Road ◽  
Set Up

The design of the Road to PTN Tutoring Institution official website serves to assist students in preparing for the SBMPTN, as well as complete information from Road to PTN’s social media; LINE, Instagram, Youtube and Twitter. On the website that is built there are several main features, those are simulation, a user can buy a tryout class by filling up the balance (top up) using a bank ATM, the user can also download the test results, see the rank results, and get the results of the talent interest analysis. Several predictions of campus rank and department are displayed in the premium tryout class including the leaderboard rank profile (top 10). Beside that there is information on the article menu which contains tips and motivation. Issues published are made via the admin dashboard including confirmation of user activity. In the tests carried out on the Road To PTN official website, users can use all the available features including, login, create an account, set up accounts, fill in balances, withdraw balances, perform simulations, view rank results, download test results and create articles or read articles. And the admin has been able to process the data on the website. This is evidenced by the results of user testing functional testing and admin functional testing which results in all features being successfully used as expected.

scholarly journals Berebut Kuasa Tubuh: Norma Agama dan Kuasa Tubuh dalam Kekerasan Gender Berbasis Online

2021 ◽  
Vol 2 (2) ◽  
pp. 127-138
Author(s):  
Rafif Pamenang Imawan
Keyword(s):  
Social Media ◽  
Discourse Analysis ◽  
Critical Discourse Analysis ◽  
Gender Violence ◽  
Critical Discourse ◽  
Analysis Method ◽  
Feminine Gender ◽  
Gender Expression ◽  
User Activity ◽  
Media Applications

Kajian ini akan mengeksplorasi kekerasan berbasis gender dengan mengeksplorasi pengaturan data pribadi dan solusi dominasi patriarki dalam masalah media online. Dengan menggunakan tinjauan pustaka sistematis, tujuan dari penelitian ini adalah memberikan peta kompleksitas dalam masalah pemanfaatan media sosial online. Harapan dari penelitian ini adalah dapat memberikan informasi kepada pembaca tentang masalah hakikat kekerasan berbasis gender online dengan memberikan peta permasalahan sosial di Indonesia. Selain itu, secara akademis, tulisan ini akan mengeksplorasi teori postmodernisme tentang gender, ruang media sosial dan online serta masalah pola pikir struktural terkait kekerasan berbasis gender. Dalam ranah yang lebih praktis, tulisan ini akan memberikan landasan dasar bagi para pemangku kepentingan untuk merumuskan kebijakan terkait kekerasan berbasis gender secara online. === The COVID-19 forces people to isolate themselves to prevent the spread of the virus. COVID-19 increases the online activities of individuals to meet all their needs and obligations. Not only service-based applications that increased user activity, but also social media applications, which is Twitter. With the various features that Twitter offers, it not only makes it easier for individuals to communicate with people they know, but also opens up opportunities to interact with other users without any restrictions. Twitter allows its users to upload selfies and allows other users to comment on those selfies/uploads. In this research, authors analyzed sexually comments on @dododid_ selfies during the 2020 period. Using Norman Fairclough's critical discourse analysis method, authors found 3 major discourses related to selfies of men with feminine gender expression, that are beautiful discourse = women, objectification discourse and stigma and stereotypes. Through this study the author also found that online-based gender violence can be experienced by anyone in various forms.

scholarly journals Analisis Wacana Kritis Komentar Seksual dalam Media Sosial Twitter Laki-Laki Berekspresi Gender Feminin

2021 ◽  
Vol 2 (2) ◽  
pp. 117-126
Author(s):  
Nara Garini Ayuningrum
Keyword(s):  
Social Media ◽  
Discourse Analysis ◽  
Critical Discourse Analysis ◽  
Gender Violence ◽  
Critical Discourse ◽  
Analysis Method ◽  
Feminine Gender ◽  
Gender Expression ◽  
User Activity ◽  
Media Applications

Pandemi COVID-19 memaksa masyarakat untuk mengisolasi diri mereka masing-masing demi mencegah penyebaran virus. Hal ini meningkatkan aktivitas daring para individu demi memenuhi segala kebutuhan dan kewajiban. Tidak hanya aplikasi berbasis jasa yang mengalami peningkatan aktivitas pengguna, tetapi juga aplikasi media sosial, salah satunya adalah Twitter. Dengan berbagai fitur yang ditawarkan, Twitter tidak hanya mempermudah individu untuk berkomunikasi dengan orang-orang yang dikenalnya, tetapi juga membuka peluang untuk berinteraksi dengan pengguna lain tanpa adanya batasan. Twitter memungkinkan penggunanya untuk mengunggah swafoto dan membiarkan pengguna lain untuk mengomentari swafoto/unggahan tersebut. Dalam penelitian ini, penulis akan menganalisis komentar-komentar bernada seksual yang ada pada swafoto akun @dododid_ selama periode tahun 2020. Dengan menggunakan metode analisis wacana kritis Norman Fairclough, peneliti menemukan 3 wacana besar terkait swafoto laki-laki berekspresi gender feminin, yaitu wacana cantik = perempuan, wacana objektifikasi dan stigma dan stereotipe. Melalui penelitian ini penulis juga menemukan bahwa kekerasan  gender berbasis online bisa dialami oleh siapa saja dalam bentuk yang bermacam-macam. === The COVID-19 forces people to isolate themselves to prevent the spread of the virus. COVID-19 increases the online activities of individuals to meet all their needs and obligations. Not only service-based applications that increased user activity, but also social media applications, which is Twitter. With the various features that Twitter offers, it not only makes it easier for individuals to communicate with people they know, but also opens up opportunities to interact with other users without any restrictions. Twitter allows its users to upload selfies and allows other users to comment on those selfies/uploads. In this research, authors analyzed sexually comments on @dododid_ selfies during the 2020 period. Using Norman Fairclough's critical discourse analysis method, authors found 3 major discourses related to selfies of men with feminine gender expression, that are beautiful discourse = women, objectification discourse and stigma and stereotypes. Through this study the author also found that online-based gender violence can be experienced by anyone in various forms.

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