Socio-demographic features meet interests: on subscription patterns and attention distribution in online social media

Bardina, Mariia; Vaganov, D. A.; Guleva, Valentina Y.

doi:10.1016/j.procs.2020.11.018

Cited by 3 publications

(1 citation statement)

References 22 publications

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“…Age, gender and educational level were found to have a crucial impact on social media usage. Socio-demographics helps to categorise social media users into subgroups in order to get a deeper understanding of the audiences (Bardina et al, 2020). Socio-demographic factors, the representative population data for the range purposes, are necessary to calculate the individuals in a specific study (Koiranen et al, 2020).…”

Section: Socio-demographic Factorsmentioning

confidence: 99%

Facebook’s Influence on the Effectiveness of Digital Advertising among Malaysian Youth

Hui Lin,

Veerappan,

Warraich

et al. 2024

JCLC

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The growth of advanced technology has contributed to the digital advertising industry as Facebook's users are easily connected, and purchasing behaviours will be developed with the content of the products promoted in digital advertising. The older generation prefers traditional advertising due to technology's security and privacy aspects, leading to fewer choices in purchasing products. This study aimed to identify the relationship between the influence of Facebook and the effectiveness of digital advertising among Malaysian youth in Klang Valley. It was anticipated that this research would provide helpful information to the public and assist researchers in the future based on the findings of this topic area. Data was collected using a Google Form and distributed via social media like WhatsApp. The targeted respondents are between 15 and 34 years old and are located in the Klang Valley area. Statistical Package for the Social Sciences (SPSS) version 27 system was used to determine digital advertising characteristics electronically. T-test and ANOVA tests were applied in this study to examine the demographic factors that affect the relationship between the variables, as different backgrounds influence the perspectives and behaviours of the users. The findings show that the independent variable, the influence of Facebook, has a strong correlation with the dependent variable, the effectiveness of digital advertising among Malaysian youth in Klang Valley (r= 0.770). Socio-demographic factors such as age and educational level had an effect on the relationship between the variables. The effectiveness of digital advertising is influenced by the number of likes, comments, and shares by Facebook users.

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Section: Socio-demographic Factorsmentioning

confidence: 99%

Facebook’s Influence on the Effectiveness of Digital Advertising among Malaysian Youth

Hui Lin,

Veerappan,

Warraich

et al. 2024

JCLC

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An Empirical Study to Determine the Impact of Demographic Features on Users’ Perceptions of Unwanted Messages in Online Social Network Services

Alsulami

Al-Aama

2023

Lecture Notes in Networks and Systems

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Türkçe metinlerde makine öğrenmesi yöntemleri ile siber zorbalık tespiti

Baykara

2022

Gümüşhane Üniversitesi Fen Bilimleri Enstitüsü Dergisi

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Özİnternet kullanımının yaygınlaşması ve sosyal medya platformlarının popülaritesinin artması siber zorbalık olarak adlandırılan eylemlerin hızla yayılmasına neden olmuştur. Dünya genelinde siber zorbalığa maruz kalan kişilerin sayısı her geçen gün artmaktadır ve bu da mağdurlar üzerinde büyük etkiler yaratmaktadır. Bu eylemin tespit edilmesi, yeni mağdurların ortaya çıkmaması ve mevcut mağdurların daha fazla bu eyleme maruz kalmaması açısından büyük önem taşımaktadır. Bu noktada literatürde siber zorbalık tespitine yönelik birçok çalışmanın gerçekleştirildiği görülmüş ancak Türkçe metinlerde yapılan çalışma sayısının çok az olduğu tespit edilmiştir. Bu çalışmada kaggle adlı paylaşım sitesinden elde edilmiş ve manuel olarak oluşturulan 3000 cümlelik hazır Türkçe bir veri seti üzerinde doğal dil işleme yöntemleri kullanılarak siber zorbalık tespiti gerçekleştirilmiştir. Çalışmada kullanılan veri setinin yeni olması ve bildiğimiz kadarıyla bu kadar çok sayıda algoritmanın literatürde test edilmemiş olması nedeniyle bu çalışmanın literatüre katkı sağlayacağı düşünülmektedir. Çalışmada bu veri seti üzerinde Bagging, Boosting, C4.5, Gradient Boosting, K-Means, KNN, LR, NB, ANN, RO, DVM, Stokastik Gradient Descent ve XGBoost algoritmaları karşılaştırmalı olarak ilk kez kullanılmıştır.

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Socio-demographic features meet interests: on subscription patterns and attention distribution in online social media

Cited by 3 publications

References 22 publications

Facebook’s Influence on the Effectiveness of Digital Advertising among Malaysian Youth

Facebook’s Influence on the Effectiveness of Digital Advertising among Malaysian Youth

An Empirical Study to Determine the Impact of Demographic Features on Users’ Perceptions of Unwanted Messages in Online Social Network Services

Türkçe metinlerde makine öğrenmesi yöntemleri ile siber zorbalık tespiti

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