Social data: Biases, methodological pitfalls, and ethical boundaries
Social data in digital form—including user-generated content, expressed or implicit relations
between people, and behavioral traces—are at the core of popular applications and …
between people, and behavioral traces—are at the core of popular applications and …
Malicious accounts: Dark of the social networks
Over the last few years, online social networks (OSNs), such as Facebook, Twitter and
Tuenti, have experienced exponential growth in both profile registrations and social …
Tuenti, have experienced exponential growth in both profile registrations and social …
A survey of Twitter research: Data model, graph structure, sentiment analysis and attacks
Twitter is the third most popular worldwide Online Social Network (OSN) after Facebook and
Instagram. Compared to other OSNs, it has a simple data model and a straightforward data …
Instagram. Compared to other OSNs, it has a simple data model and a straightforward data …
Evaluating the effectiveness of deplatforming as a moderation strategy on Twitter
Deplatforming refers to the permanent ban of controversial public figures with large
followings on social media sites. In recent years, platforms like Facebook, Twitter and …
followings on social media sites. In recent years, platforms like Facebook, Twitter and …
From content moderation to visibility moderation: A case study of platform governance on TikTok
TikTok, a short‐video app featuring video content typically between 15 and 60 s long, has
become immensely popular around the world in the last few years. However, the worldwide …
become immensely popular around the world in the last few years. However, the worldwide …
Understanding the effect of deplatforming on social networks
Aiming to enhance the safety of their users, social media platforms enforce terms of service
by performing active moderation, including removing content or suspending users …
by performing active moderation, including removing content or suspending users …
Predicting fluctuations in cryptocurrency transactions based on user comments and replies
This paper proposes a method to predict fluctuations in the prices of cryptocurrencies, which
are increasingly used for online transactions worldwide. Little research has been conducted …
are increasingly used for online transactions worldwide. Little research has been conducted …
[PDF][PDF] Debot: Twitter bot detection via warped correlation.
We develop a warped correlation finder to identify correlated user accounts in social media
websites such as Twitter. The key observation is that humans cannot be highly synchronous …
websites such as Twitter. The key observation is that humans cannot be highly synchronous …
Aiding the detection of fake accounts in large scale social online services
Users increasingly rely on the trustworthiness of the information exposed on Online Social
Networks (OSNs). In addition, OSN providers base their business models on the …
Networks (OSNs). In addition, OSN providers base their business models on the …
Empirical evaluation and new design for fighting evolving twitter spammers
To date, as one of the most popular online social networks (OSNs), Twitter is paying its dues
as more and more spammers set their sights on this microblogging site. Twitter spammers …
as more and more spammers set their sights on this microblogging site. Twitter spammers …