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Understanding the factors that impact the popularity dynamics of social media can drive the design of effective information services, besides providing valuable insights to content generators and online advertisers. Taking YouTube as case…

Social and Information Networks · Computer Science 2014-10-20 Flavio Figueiredo , Jussara M. Almeida , Marcos André Gonçalves , Fabrício Benevenuto

As personalized recommendation algorithms become integral to social media platforms, users are increasingly aware of their ability to influence recommendation content. However, limited research has explored how users provide feedback…

Human-Computer Interaction · Computer Science 2025-02-17 Wenqi Li , Jui-Ching Kuo , Manyu Sheng , Pengyi Zhang , Qunfang Wu

With over a billion active users, TikTok's video-sharing service is currently one of the largest social media websites. This rise in TikTok's popularity has made the website a central platform for music discovery. In this paper, we analyze…

Social and Information Networks · Computer Science 2024-11-05 Breno Matos , Francisco Galuppo , Rennan Cordeiro , Flavio Figueiredo

On social media algorithms for content promotion, accounting for users preferences, might limit the exposure to unsolicited contents. In this work, we study how the same contents (videos) are consumed on different platforms -- i.e. Facebook…

Social and Information Networks · Computer Science 2016-09-28 Alessandro Bessi , Fabiana Zollo , Michela Del Vicario , Michelangelo Puliga , Antonio Scala , Guido Caldarelli , Brian Uzzi , Walter Quattrociocchi

Recommender system exists everywhere in the business world. From Goodreads to TikTok, customers of internet products become more addicted to the products thanks to the technology. Industrial practitioners focus on increasing the technical…

Information Retrieval · Computer Science 2023-03-03 Hao Wang

Video-sharing social media platforms, such as TikTok, YouTube, and Instagram, implement content moderation policies aimed at reducing exposure to harmful videos among minor users. As video has become the dominant and most immersive form of…

Items popularity is a strong signal in recommendation algorithms. It strongly affects collaborative filtering approaches and it has been proven to be a very good baseline in terms of results accuracy. Even though we miss an actual…

Information Retrieval · Computer Science 2019-07-09 Vito Walter Anelli , Tommaso Di Noia , Eugenio Di Sciascio , Azzurra Ragone , Joseph Trotta

Polarization is a troubling phenomenon that can lead to societal divisions and hurt the democratic process. It is therefore important to develop methods to reduce it. We propose an algorithmic solution to the problem of reducing…

Social and Information Networks · Computer Science 2017-05-19 Kiran Garimella , Gianmarco De Francisci Morales , Aristides Gionis , Michael Mathioudakis

Visual social media platforms have become primary venues for political discourse, yet we know little about how moralization operates differently across platforms and topics. Analyzing 2,027,595 TikToks and 1,126,972 Instagram posts during…

Computers and Society · Computer Science 2026-03-24 Ni Annie Yuan , Ho-chun Herbert Chang

The role of recommendation algorithms in online user confinement is at the heart of a fast-growing literature. Recent empirical studies generally suggest that filter bubbles may principally be observed in the case of explicit recommendation…

Social and Information Networks · Computer Science 2020-04-27 Camille Roth , Antoine Mazières , Telmo Menezes

Live video-streaming platforms such as Twitch enable top content creators to reap significant profits and influence. To that effect, various behavioral norms are recommended to new entrants and those seeking to increase their popularity and…

Social and Information Networks · Computer Science 2018-12-11 Robert Netzorg , Lauren Arnett , Augustin Chaintreau , Eugene Wu

The broader adoption of social media platforms (e.g., TikTok), combined with recent developments in Generative AI (GAI) technologies has had a transformative effect on many peoples' ability to confidently assess the veracity and meaning of…

Human-Computer Interaction · Computer Science 2024-05-02 Vasilis Vlachokyriakos , Ian G. Johnson , Robert Anderson , Caroline Claisse , Viana Zhang , Pamela Briggs

Sharenting, the practice of parents sharing content about their children on social media platforms, has become increasingly common, raising concerns about children's privacy and safety online. This study investigates children's exposure on…

Computers and Society · Computer Science 2024-10-02 Miriam Schirmer , Angelina Voggenreiter , Jürgen Pfeffer

While prior work has investigated the benefits of online health communities and general purpose social media used for health-related purposes, little work examines the use of TikTok, an emerging social media platform with a substantial user…

Human-Computer Interaction · Computer Science 2023-11-21 Rachael Zehrung , Yunan Chen

Recommender systems is one of the most successful AI technologies applied in the internet cooperations. Popular internet products such as TikTok, Amazon, and YouTube have all integrated recommender systems as their core product feature.…

Information Retrieval · Computer Science 2020-11-10 Hao Wang , Bing Ruan

By filtering the content that users see, social media platforms have the ability to influence users' perceptions and decisions, from their dining choices to their voting preferences. This influence has drawn scrutiny, with many calling for…

Computers and Society · Computer Science 2021-11-03 Sarah H. Cen , Devavrat Shah

Detecting coordinated inauthentic behavior (CIB) is central to the study of online influence operations. However, most methods focus on text-centric platforms, leaving video-first ecosystems like TikTok largely unexplored. To address this…

Social and Information Networks · Computer Science 2025-10-08 Luca Luceri , Tanishq Vijay Salkar , Ashwin Balasubramanian , Gabriela Pinto , Chenning Sun , Emilio Ferrara

Content feeds provided by platforms such as X (formerly Twitter) and TikTok are consumed by users on a daily basis. In this paper, we revisit the native advertising problem in content feeds, initiated by Ieong et al. Given a sequence of…

Data Structures and Algorithms · Computer Science 2025-02-05 Guangyi Zhang , Ilie Sarpe , Aristides Gionis

Public discourse on critical issues such as climate change is progressively shifting to social media platforms that prioritize short-form video content. Content creators acting on those platforms play a pivotal role in shaping the…

Computers and Society · Computer Science 2024-02-21 Arianna Pera , Luca Maria Aiello

Social media platforms are increasingly central to campaign communication, with both paid (advertising) and earned (organic) posts used for fundraising, mobilization, and persuasion. TikTok, and other short-form video platforms, with its…

Computers and Society · Computer Science 2025-09-09 Sabina Tomkins , Chang Ge , David Rothschild