259 citations · 699 across the 30 of their papers we have counts for
14 papers · 1 filter
Adversarial Botometer: Adversarial Analysis for Social Bot Detection
Shaghayegh Najari, Davood Rafiee, Mostafa Salehi +1
Social bots play a significant role in many online social networks (OSN) as they imitate human behavior. This fact raises difficult questions about their capabilities and potential…
Characterising and Detecting Sponsored Influencer Posts on Instagram
Koosha Zarei, Damilola Ibosiola, Reza Farahbakhsh +4
Recent years have seen a new form of advertisement campaigns emerge: those involving so-called social media influencers. These influencers accept money in return for promoting prod…
Impersonation on Social Media: A Deep Neural Approach to Identify Ingenuine Content
Koosha Zarei, Reza Farahbakhsh, Noel Crespi +1
Impersonators are playing an important role in the production and propagation of the content on Online Social Networks, notably on Instagram. These entities are nefarious fake acco…
Hate Speech Detection and Racial Bias Mitigation in Social Media based on BERT model
Marzieh Mozafari, Reza Farahbakhsh, Noel Crespi
Disparate biases associated with datasets and trained classifiers in hateful and abusive content identification tasks have raised many concerns recently. Although the problem of bi…
A First Instagram Dataset on COVID-19
Koosha Zarei, Reza Farahbakhsh, Noel Crespi +1
The novel coronavirus (COVID-19) pandemic outbreak is drastically shaping and reshaping many aspects of our life, with a huge impact on our social life. In this era of lockdown pol…
How Impersonators Exploit Instagram to Generate Fake Engagement?
Koosha Zarei, Reza Farahbakhsh, Noel Crespi
Impersonators on Online Social Networks such as Instagram are playing an important role in the propagation of the content. These entities are the type of nefarious fake accounts th…
A BERT-Based Transfer Learning Approach for Hate Speech Detection in Online Social Media
Marzieh Mozafari, Reza Farahbakhsh, Noel Crespi
Generated hateful and toxic content by a portion of users in social media is a rising phenomenon that motivated researchers to dedicate substantial efforts to the challenging direc…
Uncovering Flaming Events on News Media in Social Media
Praboda Rajapaksha, Reza Farahbakhsh, Noel Crespi +1
Social networking sites (SNSs) facilitate the sharing of ideas and information through different types of feedback including publishing posts, leaving comments and other type of re…
Inspecting Interactions: Online News Media Synergies in Social Media
Praboda Rajapaksha, Reza Farahbakhsh, Noel Crespi +1
The rising popularity of social media has radically changed the way news content is propagated, including interactive attempts with new dimensions. To date, traditional news media…
Popularity Evolution of Professional Users on Facebook
Samin Mohammadi, Reza Farahbakhsh, Noel Crespi
Popularity in social media is an important objective for professional users (e.g. companies, celebrities, and public figures, etc). A simple yet prominent metric utilized to measur…
Characterization of Cross-posting Activity for Professional Users across Facebook, Twitter and Google+
Reza Farahbakhsh, Angel Cuevas, Noel Crespi
Professional players in social media (e.g., big companies, politician, athletes, celebrities, etc) are intensively using Online Social Networks (OSNs) in order to interact with a h…
Analysis of publicly disclosed information in Facebook profiles
Reza Farahbakhsh, Xiao Han, Angel Cuevas +1
Facebook, the most popular Online social network is a virtual environment where users share information and are in contact with friends. Apart from many useful aspects, there is a…
An in-depth characterisation of Bots and Humans on Twitter
Zafar Gilani, Reza Farahbakhsh, Gareth Tyson +2
Recent research has shown a substantial active presence of bots in online social networks (OSNs). In this paper we utilise our past work on studying bots (Stweeler) to comparativel…
NetSpam: a Network-based Spam Detection Framework for Reviews in Online Social Media
Saeedreza Shehnepoor, Mostafa Salehi, Reza Farahbakhsh +1
Nowadays, a big part of people rely on available content in social media in their decisions (e.g. reviews and feedback on a topic or product). The possibility that anybody can leav…