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We explore the feasibility of automatically finding accounts that publish sensitive content on Twitter. One natural approach to this problem is to first create a list of sensitive keywords, and then identify Twitter accounts that use these…

Social and Information Networks · Computer Science 2017-02-02 Sai Teja Peddinti , Keith W. Ross , Justin Cappos

On social media, the boundaries between people's private and public lives often blur. The need to navigate both roles, which are governed by distinct norms, impacts how individuals conduct themselves online, and presents methodological…

Social and Information Networks · Computer Science 2024-09-19 Esa Palosaari , Ted Hsuan Yun Chen , Arttu Malkamäki , Mikko Kivelä

Though detection systems have been developed to identify obscene content such as pornography and violence, artificial intelligence is simply not good enough to fully automate this task yet. Due to the need for manual verification, social…

Human-Computer Interaction · Computer Science 2020-01-07 Brandon Dang , Martin J. Riedl , Matthew Lease

Moderators of online communities often employ comment deletion as a tool. We ask here whether, beyond the positive effects of shielding a community from undesirable content, does comment removal actually cause the behavior of the comment's…

Computers and Society · Computer Science 2019-10-23 Kumar Bhargav Srinivasan , Cristian Danescu-Niculescu-Mizil , Lillian Lee , Chenhao Tan

Anonymous microblogging systems are known to be vulnerable to intersection attacks due to network churn. An adversary that monitors all communications can leverage the churn to learn who is publishing what with increasing confidence over…

Cryptography and Security · Computer Science 2023-07-19 Sarah Abdelwahab Gaballah , Thanh Hoang Long Nguyen , Lamya Abdullah , Ephraim Zimmer , Max Mühlhäuser

Fringe groups and organizations have a long history of using euphemisms--ordinary-sounding words with a secret meaning--to conceal what they are discussing. Nowadays, one common use of euphemisms is to evade content moderation policies…

Computation and Language · Computer Science 2021-04-01 Wanzheng Zhu , Hongyu Gong , Rohan Bansal , Zachary Weinberg , Nicolas Christin , Giulia Fanti , Suma Bhat

Online social media enables mass-level, transparent, and democratized discussion on numerous socio-political issues. Due to such openness, these platforms often endure manipulation and misinformation - leading to negative impacts. To…

Social and Information Networks · Computer Science 2021-01-26 Farhan Asif Chowdhury , Dheeman Saha , Md Rashidul Hasan , Koustuv Saha , Abdullah Mueen

Online communities can serve as meaningful sources of social support, particularly for marginalized and vulnerable groups. Disclosure of personal information facilitates integration into online communities but may also expose individuals to…

Human-Computer Interaction · Computer Science 2023-11-28 Yingfan Zhou , Anna Squicciarini , Sarah Rajtmajer

Toxic language, such as hate speech, can deter users from participating in online communities and enjoying popular platforms. Previous approaches to detecting toxic language and norm violations have been primarily concerned with…

Computation and Language · Computer Science 2023-10-10 Jihyung Moon , Dong-Ho Lee , Hyundong Cho , Woojeong Jin , Chan Young Park , Minwoo Kim , Jonathan May , Jay Pujara , Sungjoon Park

There is an ongoing debate about how to moderate toxic speech on social media and the impact of content moderation on online discourse. This paper proposes and validates a methodology for measuring the content-moderation-induced distortions…

Social and Information Networks · Computer Science 2026-03-04 Mahyar Habibi , Dirk Hovy , Carlo Schwarz

Internet users highly rely on and trust web search engines, such as Google, to find relevant information online. However, scholars have documented numerous biases and inaccuracies in search outputs. To improve the quality of search results,…

Computers and Society · Computer Science 2023-10-06 Aleksandra Urman , Aniko Hannak , Mykola Makhortykh

Understanding the sociodemographic composition of online platforms is essential for accurately interpreting digital behavior and its societal implications. Yet, current methods often lack the transparency and reliability required, risking…

Social and Information Networks · Computer Science 2025-11-04 Federico Cinus , Corrado Monti , Paolo Bajardi , Gianmarco De Francisci Morales

User reporting is an essential component of content moderation on many online platforms -- in particular, on end-to-end encrypted (E2EE) messaging platforms where platform operators cannot proactively inspect message contents. However,…

Human-Computer Interaction · Computer Science 2023-06-21 Leijie Wang , Ruotong Wang , Sterling Williams-Ceci , Sanketh Menda , Amy X. Zhang

Personal moderation tools on social media platforms let users control their news feeds by configuring acceptable toxicity thresholds for their feed content or muting inappropriate accounts. This research examines how four critical…

Human-Computer Interaction · Computer Science 2024-03-05 Shagun Jhaver

As millions of people use ChatGPT for tasks such as education, writing assistance, and health advice, concerns have grown about how personal prompts and data are stored and used. This study explores how Reddit users collectively negotiate…

Computers and Society · Computer Science 2026-03-10 S M Mehedi Zaman , Saubhagya Joshi , Yiyi Wu

Stigma toward people who use substances (PWUS) is a leading barrier to seeking treatment.Further, those in treatment are more likely to drop out if they experience higher levels of stigmatization. While related concepts of hate speech and…

Accurately estimating how users respond to moderation interventions is paramount for developing effective and user-centred moderation strategies. However, this requires a clear understanding of which user characteristics are associated with…

Computers and Society · Computer Science 2025-10-24 Benedetta Tessa , Alejandro Moreo , Stefano Cresci , Tiziano Fagni , Fabrizio Sebastiani

Our online lives generate a wealth of behavioral records -'digital footprints'- which are stored and leveraged by technology platforms. This data can be used to create value for users by personalizing services. At the same time, however, it…

Computers and Society · Computer Science 2023-12-27 Sofie Goethals , Sandra Matz , Foster Provost , Yanou Ramon , David Martens

Social media platforms have become an integral part of everyday life, serving as a primary source of news and information for many users. These platforms increasingly rely on personalised recommendation systems that shape what users see and…

With peak content moderation seemingly behind us, this paper revisits its punitive side. But instead of focusing on who is being (disproportionately) moderated, it focuses on the punishment itself and explores the question of how content…

Computers and Society · Computer Science 2026-05-14 Robert Grimm
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