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We tackle the problem of classifying news articles pertaining to disinformation vs mainstream news by solely inspecting their diffusion mechanisms on Twitter. Our technique is inherently simple compared to existing text-based approaches, as…

Social and Information Networks · Computer Science 2020-11-13 Francesco Pierri , Carlo Piccardi , Stefano Ceri

The massive diffusion of online social media allows for the rapid and uncontrolled spreading of conspiracy theories, hoaxes, unsubstantiated claims, and false news. Such an impressive amount of misinformation can influence policy…

Social and Information Networks · Computer Science 2017-02-01 Alessandro Bessi

We explore the effects of coordinated users (i.e., users characterized by an unexpected, suspicious, or exceptional similarity) in information spreading on Twitter by quantifying the efficacy of their tactics in deceiving feed algorithms to…

Social and Information Networks · Computer Science 2025-09-09 Matteo Cinelli , Stefano Cresci , Walter Quattrociocchi , Maurizio Tesconi , Paola Zola

Identifying significant community structures in networks with incomplete data is a challenging task, as the reliability of solutions diminishes with increasing levels of missing information. However, in many empirical contexts, some…

Social and Information Networks · Computer Science 2024-10-28 Nicola Pedreschi , Renaud Lambiotte , Alexandre Bovet

Social media platforms such as Twitter have a fundamental role in facilitating the spread and discussion of ideas online through the concept of retweeting and replying. However, these features also contribute to the spread of…

Social and Information Networks · Computer Science 2024-02-29 James R. Ashford

In the Social Web scenario, large amounts of User-Generated Content (UGC) are diffused through social media often without almost any form of traditional trusted intermediaries. Therefore, the risk of running into misinformation is not…

Computers and Society · Computer Science 2020-01-28 Gabriella Pasi , Marco Viviani

Social media has been considered as a data source for tracking disease. However, most analyses are based on models that prioritize strong correlation with population-level disease rates over determining whether or not specific individual…

Social and Information Networks · Computer Science 2014-04-14 Todd Bodnar , Victoria C Barclay , Nilam Ram , Conrad S Tucker , Marcel Salathé

Hate speech is harmful content that directly attacks or promotes hatred against members of groups or individuals based on actual or perceived aspects of identity, such as racism, religion, or sexual orientation. This can affect social life…

Computation and Language · Computer Science 2024-03-19 Arijit Das , Somashree Nandy , Rupam Saha , Srijan Das , Diganta Saha

Hate speech on online platforms has been credibly linked to multiple instances of real world violence. This calls for an urgent need to understand how toxic content spreads and how it might be mitigated on online social networks, and…

Social and Information Networks · Computer Science 2025-11-26 Aatman Vaidya , Harsh Bhagat , Seema Nagar , Amit A. Nanavati

Fake news gains has gained significant momentum, strongly motivating the need for fake news research. Many fake news detection approaches have thus been proposed, where most of them heavily rely on news content. However, network-based clues…

Social and Information Networks · Computer Science 2019-06-12 Xinyi Zhou , Reza Zafarani

The widespread of false information is a rising concern worldwide with critical social impact, inspiring the emergence of fact-checking organizations to mitigate misinformation dissemination. However, human-driven verification leads to a…

Machine Learning · Computer Science 2022-12-09 Vítor Lourenço , Aline Paes

Illicit online pharmacies allow the purchase of prescription drugs online without a prescription. Such pharmacies leverage social media platforms such as Twit- ter as a promotion and marketing tool with the intent of reaching out to a…

Computers and Society · Computer Science 2017-12-05 Janani Kalyanam , Timothy Mackey

Mental disorders such as depression and suicidal ideation are hazardous, affecting more than 300 million people over the world. However, on social media, mental disorder symptoms can be observed, and automated approaches are increasingly…

Information Retrieval · Computer Science 2023-01-26 Ramin Safa , S. A. Edalatpanah , Ali Sorourkhah

The battle against the spread of misinformation on the Internet is a daunting task faced by modern society. Fake news content is primarily distributed through digital platforms, with websites dedicated to producing and disseminating such…

Social networking and micro-blogging services, such as Twitter, play an important role in sharing digital information. Despite the popularity and usefulness of social media, they are regularly abused by corrupt users. One of these nefarious…

Social and Information Networks · Computer Science 2022-10-28 Tanveer Khan , Antonis Michalas

Breaking cybersecurity events are shared across a range of websites, including security blogs (FireEye, Kaspersky, etc.), in addition to social media platforms such as Facebook and Twitter. In this paper, we investigate methods to analyze…

Computation and Language · Computer Science 2019-05-06 Shi Zong , Alan Ritter , Graham Mueller , Evan Wright

An essential topic in online social network security is how to accurately detect bot accounts and relieve their harmful impacts (e.g., misinformation, rumor, and spam) on genuine users. Based on a real-world data set, we construct…

Social and Information Networks · Computer Science 2023-04-19 Jun Wu , Xuesong Ye , Chengjie Mou

Social media platforms have evolved rapidly in modernity without strong regulation. One clear obstacle faced by current users is that of toxicity. Toxicity on social media manifests through a number of forms, including harassment,…

Social and Information Networks · Computer Science 2024-10-30 Rhett Hanscom , Tamara Silbergleit Lehman , Qin Lv , Shivakant Mishra

Research shows that exposure to suicide-related news media content is associated with suicide rates, with some content characteristics likely having harmful and others potentially protective effects. Although good evidence exists for a few…

Computation and Language · Computer Science 2022-06-29 Hannah Metzler , Hubert Baginski , Thomas Niederkrotenthaler , David Garcia

As businesses increasingly rely on social networking sites to engage with their customers, it is crucial to understand and counter reputation manipulation activities, including fraudulently boosting the number of Facebook page likes using…