A Study of Spam Detection Algorithm on Social Media Networks

2013 ◽  
pp. 195-202 ◽  
Author(s):  
Jacob Soman Saini
Keyword(s):  
Social Media ◽  
Detection Algorithm ◽  
Spam Detection ◽  
Social Media Networks

scholarly journals A STUDY OF SPAM DETECTION ALGORITHM ON SOCIAL MEDIA NETWORKS

2014 ◽  
Vol 10 (10) ◽  
pp. 2135-2140 ◽  
Author(s):  
Saini Jacob Soman ◽  
S. Murugappan
Keyword(s):  
Social Media ◽  
Detection Algorithm ◽  
Spam Detection ◽  
Social Media Networks

scholarly journals Spam Detection in Social Media Networks: A Data Mining Approach

2015 ◽  
Vol 115 (9) ◽  
pp. 9-12
Author(s):  
Harshal S.Multani ◽  
Amrita Sinh Marod ◽  
Vinita Pillai ◽  
Vishal Gaware
Keyword(s):  
Data Mining ◽  
Social Media ◽  
Spam Detection ◽  
Social Media Networks ◽  
Data Mining Approach

scholarly journals Using Reduced Set of Features to Detect Spam in Twitter Data with Decision Tree and KNN Classifier Algorithms

2019 ◽  
Vol 8 (9) ◽  
pp. 6-12
Keyword(s):  
Social Media ◽  
Decision Tree ◽  
Principal Component ◽  
Spam Detection ◽  
Detection Accuracy ◽  
Decision Tree Classifier ◽  
Social Media Networks ◽  
Original Dataset ◽  
Knn Classifier ◽  
Tree Classifier

In social media, the users share their ideas, opinions to their neighbours and friends. Spammers send spam information to the genuine users to mislead them. This spam data is a very serious problem in social media sites. To detect spam messages in social media various spam detection methodologies are developed by researchers. The researchers used more number of features to construct the models. Generally the original dataset contains many irrelevant and redundant features. Such large amount of features reduces the spam detection accuracy. To improve the spam detection accuracy in social media networks, we have to reduce the meaningless attributes from high dimensional social media dataset. In order to reduce dimensionality of dataset, we have used one of the dimensionality reduction approach, called principal component analysis (PCA). After reducing the dimensionality of the dataset, the dataset samples are classified using Decision Tree Induction classifier algorithm and K Nearest Neighbour algorithm. In our proposed work these algorithms are used to check data samples are spam samples or ham samples. In this methodology, we have used Twitter dataset for testing proposed approach. Experimental results shows that KNN classifier outperforms compared to Decision tree classifier.

Penerapan Strategi Social Media Marketing Untuk Meningkatkan Penjualan Pada Dealer Mobil Toyota, Daihatsu dan Honda Bandung

Infoman s ◽  
2018 ◽  
Vol 12 (2) ◽  
pp. 115-124
Author(s):  
Yopi Hidayatul Akbar ◽  
Muhammad Agreindra Helmiawan
Keyword(s):  
Social Media ◽  
Search Engine ◽  
Social Media Marketing ◽  
Public Attention ◽  
Media Companies ◽  
Social Media Networks ◽  
Internet Users ◽  
Marketing Activities ◽  
The University ◽  
Website Content

Social media is one of the information media that is currently widely used by several companies and personally to convey information, with the presence of social media companies no longer need to spread offers through print media, they can use information technology tools in this case social media to submit offers the products they sell to users globally through social media. This social media marketing technique is the process of reaching visits by internet users to certain sites or public attention through social media sites. Marketing activities using social media are usually centered on the efforts of a company to create content that attracts attention, thus encouraging readers to share the content through their social media networks. The application of the QMS method is certainly not only submitted through search engine webmasters, but also on a website keywords must be applied that relate to the contents of the website content, because with the keyword it will automatically attract visitors to the university website based on keyword phrases that they type in the search engine. With Search Media Marketing Technique (SMM) is one of the techniques that must be applied in conducting sales promotions, especially in car dealers in Bandung, it is considered important because each product requires price, feature and convenience socialization through social media so that sales traffic can increase. Each dealer should be able to apply the techniques of Social Media Marketing (SMM) well so that car sales can reach the expected target and provide profits for sales as car sellers in the field.

“I’m not a kid anymore!” Towards a teen-centric approach of online privacy management

MedienJournal ◽  
2020 ◽  
Vol 44 (1) ◽  
pp. 41-54
Author(s):  
Isabell Koinig
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Present Article ◽  
Information Disclosure ◽  
Online Privacy ◽  
Privacy Management ◽  
Theoretical Contribution ◽  
Social Media Networks ◽  
Individual Privacy ◽  
Willingness To Disclose

The youth constitutes the largest user base of social media networks. While this generation has grown up in a digitally immersed environment, they are still not immune to the dangers the online space bears. Hence, maintaining their privacy is paramount. The present article presents a theoretical contribution, that is based on a review of relevant articles. It sets out to investigate the importance adolescents attribute to online privacy, which is likely to influence their willingness to disclose data. In line with a “new privacy paradox”, information disclosure is seen as unavoidable, given the centrality of social networks to adolescents’ lives. This goes hand in hand with individual privacy management. As individuals often lack knowledge as to how to protect their privacy, it is essential to educate the youth about their possibilities, equipping them with agency and self-responsibilization. This corresponds with a teen-centric approach to privacy as proposed by the TOSS framework.

“I’m not a kid anymore!” Towards a teen-centric approach of online privacy management

MedienJournal ◽  
2020 ◽  
Vol 44 (1) ◽  
pp. 41-54
Author(s):  
Isabell Koinig
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Present Article ◽  
Information Disclosure ◽  
Online Privacy ◽  
Privacy Management ◽  
Theoretical Contribution ◽  
Social Media Networks ◽  
Individual Privacy ◽  
Willingness To Disclose

The youth constitutes the largest user base of social media networks. While this generation has grown up in a digitally immersed environment, they are still not immune to the dangers the online space bears. Hence, maintaining their privacy is paramount. The present article presents a theoretical contribution, that is based on a review of relevant articles. It sets out to investigate the importance adolescents attribute to online privacy, which is likely to influence their willingness to disclose data. In line with a “new privacy paradox”, information disclosure is seen as unavoidable, given the centrality of social networks to adolescents’ lives. This goes hand in hand with individual privacy management. As individuals often lack knowledge as to how to protect their privacy, it is essential to educate the youth about their possibilities, equipping them with agency and self-responsibilization. This corresponds with a teen-centric approach to privacy as proposed by the TOSS framework.

What's Different about Social Media Networks? A Framework and Research Agenda

MIS Quarterly ◽  
2014 ◽  
Vol 38 (1) ◽  
pp. 274-304 ◽  
Author(s):  
Gerald C. Kane ◽  
◽  
Maryam Alavi ◽  
Giuseppe (Joe) Labianca ◽  
Stephen P. Borgatti ◽  
...  
Keyword(s):  
Social Media ◽  
Research Agenda ◽  
Social Media Networks

Is JUUL marketing to kids on social media? Analysis of JUUL Twitter Followers� Age (Preprint)

2018 ◽  
Author(s):  
Annice Kim ◽  
Robert Chew ◽  
Michael Wenger ◽  
Margaret Cress ◽  
Thomas Bukowski ◽  
...  
Keyword(s):  
Social Media ◽  
Application Programming Interface ◽  
Media Analysis ◽  
Prediction Algorithm ◽  
Social Media Networks ◽  
Verification Methods ◽  
Twitter Account ◽  
Application Programming ◽  
Age Verification ◽  
Age Category

BACKGROUND JUUL is an electronic nicotine delivery system (ENDS) resembling a USB device that has become rapidly popular among youth. Recent studies suggest that social media may be contributing to its popularity. JUUL company claims their products are targeted for adult current smokers but recent surveillance suggests youth may be exposed to JUUL products online. To date, there has been little attention on restricting youth exposure to age restricted products on social media. OBJECTIVE The objective of this study was to utilize a computational age prediction algorithm to determine the extent to which underage youth are being exposed to JUUL’s marketing practices on Twitter. METHODS We examined all of @JUULvapor’s Twitter followers in April 2018. For followers with a public account, we obtained their metadata and last 200 tweets using the Twitter application programming interface. We ran a series of classification models to predict whether the account following @JUULvapor was an underage youth or an adult. RESULTS Out of 9,077 individuals following @JUULvapor Twitter account, a three-age category model predicted that 44.9% are 13 to 17 years old (N=4,078), 43.6% are 18 to 24 years old (N=3,957), and 11.5% are 25 years old or older (N=1,042); and a two-age category model predicted that 80.6% (N=7,313) are under 21 years old. CONCLUSIONS Despite a disclaimer that followers must be of legal age to purchase tobacco products, the majority of JUUL followers on Twitter are under age. This suggests that ENDS brands and social media networks need to implement more stringent age-verification methods to protect youth from age-restricted content.

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