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With recent developments in Social Computing, Natural Language Processing and Clinical Psychology, the social NLP research community addresses the challenge of automation in mental illness on social media. A recent extension to the problem…

Computation and Language · Computer Science 2022-11-10 Chandni Saxena , Muskan Garg , Gunjan Ansari

Understanding true influence in social media requires distinguishing correlation from causation--particularly when analyzing misinformation spread. While existing approaches focus on exposure metrics and network structures, they often fail…

Computation and Language · Computer Science 2025-05-27 Lin Tian , Marian-Andrei Rizoiu

The spread of harmful mis-information in social media is a pressing problem. We refer accounts that have the capability of spreading such information to viral proportions as "Pathogenic Social Media" accounts. These accounts include…

Social and Information Networks · Computer Science 2019-05-07 Elham Shaabani , Ruocheng Guo , Paulo Shakarian

Coordinated inauthentic behavior is used as a tool on social media to shape public opinion by elevating or suppressing topics using systematic engagements -- e.g. through *likes* or similar reactions. In an honest world, reactions may be…

Computers and Society · Computer Science 2023-05-15 Laura Jahn , Rasmus K. Rendsvig , Jacob Stærk-Østergaard

Political astroturfing and organised trolling are online malicious behaviours with significant real-world effects. Common approaches examining these phenomena focus on broad campaigns rather than the small groups responsible. To reveal…

Social and Information Networks · Computer Science 2022-02-28 Derek Weber , Frank Neumann

Tweet clustering for event detection is a powerful modern method to automate the real-time detection of events. In this work we present a new tweet clustering approach, using a probabilistic approach to incorporate temporal information. By…

Social and Information Networks · Computer Science 2018-11-14 Peter Mathews , Caitlin Gray , Lewis Mitchell , Giang T. Nguyen , Nigel G. Bean

Machine learning models, especially deep neural networks have been shown to be susceptible to privacy attacks such as membership inference where an adversary can detect whether a data point was used for training a black-box model. Such…

Machine Learning · Computer Science 2020-07-20 Shruti Tople , Amit Sharma , Aditya Nori

Social media is often viewed as a sensor into various societal events such as disease outbreaks, protests, and elections. We describe the use of social media as a crowdsourced sensor to gain insight into ongoing cyber-attacks. Our approach…

Cryptography and Security · Computer Science 2017-11-08 Rupinder Paul Khandpur , Taoran Ji , Steve Jan , Gang Wang , Chang-Tien Lu , Naren Ramakrishnan

Randomized experiments have become a cornerstone of evidence-based decision-making in contexts ranging from online platforms to public health. However, in experimental settings with network interference, a unit's treatment can influence…

Machine Learning · Computer Science 2025-10-22 Sadegh Shirani , Yuwei Luo , William Overman , Ruoxuan Xiong , Mohsen Bayati

Recent years have witnessed a surge of manipulation of public opinion and political events by malicious social media actors. These users are referred to as "Pathogenic Social Media (PSM)" accounts. PSMs are key users in spreading…

Social and Information Networks · Computer Science 2019-03-06 Hamidreza Alvari , Elham Shaabani , Soumajyoti Sarkar , Ghazaleh Beigi , Paulo Shakarian

Compromising social network accounts has become a profitable course of action for cybercriminals. By hijacking control of a popular media or business account, attackers can distribute their malicious messages or disseminate fake information…

Cryptography and Security · Computer Science 2015-09-14 Manuel Egele , Gianluca Stringhini , Christopher Kruegel , Giovanni Vigna

The rapid growth of social media has led to the widespread dissemination of fake news across multiple content forms, including text, images, audio, and video. Traditional unimodal detection methods fall short in addressing complex…

Multimedia · Computer Science 2025-04-15 Moyang Liu , Kaiying Yan , Yukun Liu , Ruibo Fu , Zhengqi Wen , Xuefei Liu , Chenxing Li

Language agents are rapidly expanding from single-user assistants to multi-user collaborators in shared workspaces and groups. However, today's language models lack a mechanism for isolating user interactions and concurrent tasks, creating…

Cryptography and Security · Computer Science 2025-11-25 Atharv Singh Patlan , Peiyao Sheng , S. Ashwin Hebbar , Prateek Mittal , Pramod Viswanath

Social media has become an important communication channel during high impact events, such as the COVID-19 pandemic. As misinformation in social media can rapidly spread, creating social unrest, curtailing the spread of misinformation…

Recent events have led to a burgeoning awareness on the misuse of social media sites to affect political events, sway public opinion, and confuse the voters. Such serious, hostile mass manipulation has motivated a large body of works on…

Social and Information Networks · Computer Science 2020-09-03 Junhao Wang , Sacha Levy , Ren Wang , Aayushi Kulshrestha , Reihaneh Rabbany

The rise of social media has ignited an unprecedented circulation of false information in our society. It is even more evident in times of crises, such as the COVID-19 pandemic. Fact-checking efforts have expanded greatly and have been…

Social and Information Networks · Computer Science 2020-12-22 Wilson Ceron , Mathias-Felipe de-Lima-Santos , Marcos G. Quiles

In the last years, social media has gained an unprecedented amount of attention, playing a pivotal role in shaping the contemporary landscape of communication and connection. However, Coordinated Inhautentic Behaviour (CIB), defined as…

Social and Information Networks · Computer Science 2024-01-04 Niccolò Di Marco , Sara Brunetti , Matteo Cinelli , Walter Quattrociocchi

Social media is widely used to share information globally and it also aids to gain attention from the world. When socially sensitive incidents like rape, human rights march, corruption, political controversy, chemical attacks occur, they…

Social and Information Networks · Computer Science 2026-04-06 Pramod Bide , Sudhir Dhage , Mohammed Afaan Ansari , Rudresh Veerkhare

The rapid expansion of cyberspace has greatly facilitated the strategic shift of traditional crimes to online platforms. This has included malicious actors, such as extremist organisations, making use of online networks to disseminate…

Computers and Society · Computer Science 2020-08-28 Fatima Zahrah , Jason R. C. Nurse , Michael Goldsmith

Coordinated disinformation campaigns are used to influence social media users, potentially leading to offline violence. In this study, we introduce a general methodology to uncover coordinated messaging through analysis of user parleys on…

Social and Information Networks · Computer Science 2022-12-06 Lynnette Hui Xian Ng , Iain Cruickshank , Kathleen M. Carley