<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Online Social Networks have become a significant part of our quotidian life. In this paper, we aim to provide a proof of concept of how social media data can be effectively extracted, processed and analyzed with powerful open source tools like R. Moreover, we aim to build a reliable methodology for testing and validating social trends by using social media data. We used API routines to establish the connection between R and Twitter, Deep Learning Models to estimate the demographics of the users, Logistic Regression Models to estimate the predispositions of the users, and Propensity Score Matching to build comparable data sets. After analyzing the Romanian Twitter users, the results of our inquiry show that most of them are relatively young and the percentage of males is significantly higher than the percentage of females. Moreover, our results confirm that facial appearances play an essential role in the popularity of an individual.</p></abstract>

Online Social Networks have become a significant part of our quotidian life. In this paper, we aim to provide a proof of concept of how social media data can be effectively extracted, processed and analyzed with powerful open source tools like R. Moreover, we aim to build a reliable methodology for testing and validating social trends by using social media data. We used API routines to establish the connection between R and Twitter, Deep Learning Models to estimate the demographics of the users, Logistic Regression Models to estimate the predispositions of the users, and Propensity Score Matching to build comparable data sets. After analyzing the Romanian Twitter users, the results of our inquiry show that most of them are relatively young and the percentage of males is significantly higher than the percentage of females. Moreover, our results confirm that facial appearances play an essential role in the popularity of an individual.

Recent Social Trends Among Romanian Twitter Users

Proceedings of the International Conference on Applied Statistics

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Recent Social Trends Among Romanian Twitter Users"}

Online Social Networks have become a significant part of our quotidian life. In this paper, we aim to provide a proof of concept of how social media data can...

Recent Social Trends Among Romanian Twitter Users

Online veröffentlicht: 13. Feb. 2020

Seitenbereich: 257 - 263

DOI: https://doi.org/10.2478/icas-2019-0023

Schlüsselwörter
Social Behavior, Social Media, R, Face Recognition, Data Collection, Computer Programs, Data matching

© 2019 Alexandru-Răzvan Florea, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Recent Social Trends Among Romanian Twitter Users

Online veröffentlicht: 13. Feb. 2020

Seitenbereich: 257 - 263

DOI: https://doi.org/10.2478/icas-2019-0023

SchlüsselwörterSocial Behavior, Social Media, R, Face Recognition, Data Collection, Computer Programs, Data matching

© 2019 Alexandru-Răzvan Florea, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
Social Behavior, Social Media, R, Face Recognition, Data Collection, Computer Programs, Data matching