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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 accounts that intend to disguise a legitimate account by making…

Social and Information Networks · Computer Science 2020-10-19 Koosha Zarei , Reza Farahbakhsh , Noel Crespi , Gareth Tyson

We present the results of a study of the Pinterest activity graph. Pinterest is a relatively new and extremely popular content-based social network. Building on a body of work showing that the hidden network whose edges are actual…

Social and Information Networks · Computer Science 2014-05-09 Bluma Gelley , Ajita John

Online interactions are increasingly involving images, especially those containing human faces, which are naturally attention grabbing and more effective at conveying feelings than text. To understand this new convention of digital culture,…

Social and Information Networks · Computer Science 2015-10-21 Flávio Souza , Diego de Las Casas , Vinícius Flores , SunBum Youn , Meeyoung Cha , Daniele Quercia , Virgílio Almeida

Identity spans multiple dimensions; however, the relative salience of a dimension of identity can vary markedly from person to person. Furthermore, there is often a difference between one's internal identity (how salient different aspects…

Social and Information Networks · Computer Science 2023-04-17 Suyash Fulay , Nabeel Gillani , Deb Roy

Estimating influence on social media networks is an important practical and theoretical problem, especially because this new medium is widely exploited as a platform for disinformation and propaganda. This paper introduces a novel approach…

Social and Information Networks · Computer Science 2018-09-06 Steven T. Smith , Edward K. Kao , Danelle C. Shah , Olga Simek , Donald B. Rubin

Online Social Networks (OSNs), such as Facebook, provide users with tools to share information along with a set of privacy controls preferences to regulate the spread of information. Current privacy controls are efficient to protect content…

Social and Information Networks · Computer Science 2016-11-22 Giuseppe Cascavilla , Filipe Beato , Andrea Burattin , Mauro Conti , Luigi Vincenzo Mancini

Influencer Marketing generated $16 billion in 2022. Usually, the more popular influencers are paid more for their collaborations. Thus, many services were created to boost profiles' popularity metrics through bots or fake accounts. However,…

Social and Information Networks · Computer Science 2023-04-06 Pier Paolo Tricomi , Sousan Tarahomi , Christian Cattai , Francesco Martini , Mauro Conti

Commencing as a photo-sharing platform, Instagram has since become multifaceted, accommodating diverse art forms, with poetry emerging as a prominent one. However, the academic understanding of Instagram's poetry community is limited, yet…

Human-Computer Interaction · Computer Science 2024-03-01 Ankolika De , Zhicong Lu

In March 2025, Meta announced a new AI system to rank the order of the comments shown to Instagram users. With existing research showing how feed personalization systems can lead to increased polarization, the introduction of this new…

Computers and Society · Computer Science 2026-05-01 Brahmani Nutakki , Manon Lilott Kempermann , Ingmar Weber

In this work, we study the privacy risk due to profile matching across online social networks (OSNs), in which anonymous profiles of OSN users are matched to their real identities using auxiliary information about them. We consider…

Social and Information Networks · Computer Science 2020-08-24 Anisa Halimi , Erman Ayday

Influence maximization (IM) aims to find seed users on an online social network to maximize the spread of information about a target product through word-of-mouth propagation among all users. Prior IM methods mostly focus on maximizing the…

Social and Information Networks · Computer Science 2024-02-27 Ying Wang , Yanhao Wang

Influence maximization is the problem of finding influential users, or nodes, in a graph so as to maximize the spread of information. It has many applications in advertising and marketing on social networks. In this paper, we study a highly…

Social and Information Networks · Computer Science 2017-10-25 Paul Lagrée , Olivier Cappé , Bogdan Cautis , Silviu Maniu

The hacktivist group Anonymous is unusual in its public-facing nature. Unlike other cybercriminal groups, which rely on secrecy and privacy for protection, Anonymous is prevalent on the social media site, Twitter. In this paper we…

Social and Information Networks · Computer Science 2020-06-16 Keenan Jones , Jason R. C. Nurse , Shujun Li

Influence analysis is a fundamental problem in social network analysis and mining. The important applications of the influence analysis in social network include influence maximization for viral marketing, finding the most influential…

Social and Information Networks · Computer Science 2012-07-05 Rong-Hua Li , Jeffrey Xu Yu , Zechao Shang

Most previous works in privacy of Online Social Networks (OSN) focus on a restricted scenario of using one type of information to infer another type of information or using only static profile data such as username, profile picture or home…

Social and Information Networks · Computer Science 2020-03-03 Tahleen Rahman , Mario Fritz , Michael Backes , Yang Zhang

We introduce an original mathematical model to analyze the diffusion of posts within a generic online social platform. Each user of such a platform has his own Wall and Newsfeed, as well as his own self-posting and re-posting activity. As a…

Networking and Internet Architecture · Computer Science 2019-06-25 Anastasios Giovanidis , Bruno Baynat , Antoine Vendeville

Influence overlap is a universal phenomenon in influence spreading for social networks. In this paper, we argue that the redundant influence generated by influence overlap cause negative effect for maximizing spreading influence. Firstly,…

Social and Information Networks · Computer Science 2019-03-04 Ning Wang , Zi-Yi Wang , Jian-Guo Liu , Jing-Ti Han

Social Network Sites (SNSs) like Facebook or Instagram are spaces where people expose their lives to wide and diverse audiences. This practice can lead to unwanted incidents such as reputation damage, job loss or harassment when pieces of…

Human-Computer Interaction · Computer Science 2020-08-24 Nicolas E. Diaz Ferreyra , Rene Meis , Maritta Heisel

Image sharing on online social networks (OSNs) has become an indispensable part of daily social activities, but it has also led to an increased risk of privacy invasion. The recent image leaks from popular OSN services and the abuse of…

Cryptography and Security · Computer Science 2025-06-18 Chi Liu , Tianqing Zhu , Jun Zhang , Wanlei Zhou

Internet users and businesses are increasingly using online social networks (OSN) to drive audience traffic and increase their popularity. In order to boost social presence, OSN users need to increase the visibility and reach of their…

Social and Information Networks · Computer Science 2014-11-18 Anupama Aggarwal , Ponnurangam Kumaraguru
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