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The paper addresses a method for spreading messages in social networks through an initial acceleration by Spreading Groups. These groups start the spread which eventually reaches a larger portion of the network. The use of spreading groups…

Social and Information Networks · Computer Science 2017-04-10 Alon Sela , Orit Milo-Cohen , Irad Ben-Gal , Eugene Kagan

Multimodal misinformation on online social platforms is becoming a critical concern due to increasing credibility and easier dissemination brought by multimedia content, compared to traditional text-only information. While existing…

Multimedia · Computer Science 2024-09-17 Hui Liu , Wenya Wang , Haoliang Li

Social networks offer a ready channel for fake and misleading news to spread and exert influence. This paper examines the performance of different reputation algorithms when applied to a large and statistically significant portion of the…

Social and Information Networks · Computer Science 2018-03-07 Luca de Alfaro , Massimo Di Pierro , Rakshit Agrawal , Eugenio Tacchini , Gabriele Ballarin , Marco L. Della Vedova , Stefano Moret

In recent years, disinformation including fake news, has became a global phenomenon due to its explosive growth, particularly on social media. The wide spread of disinformation and fake news can cause detrimental societal effects. Despite…

Social and Information Networks · Computer Science 2020-01-06 Kai Shu , Suhang Wang , Dongwon Lee , Huan Liu

With the ever-increasing spread of misinformation on online social networks, it has become very important to identify the spreaders of misinformation (unintentional), disinformation (intentional), and misinformation refutation. It can help…

Social and Information Networks · Computer Science 2023-05-02 Euna Mehnaz Khan , Ayush Ram , Bhavtosh Rath , Emily Vraga , Jaideep Srivastava

Disinformation continues to attract attention due to its increasing threat to society. Nevertheless, a disinformation-based attack on critical infrastructure has never been studied to date. Here, we consider traffic networks and focus on…

Social and Information Networks · Computer Science 2020-03-10 Marcin Waniek , Gururaghav Raman , Bedoor AlShebli , Jimmy Chih-Hsien Peng , Talal Rahwan

In this paper we quantify our limited information horizon, by measuring the information necessary to locate specific nodes in a network. To investigate different ways to overcome this horizon, and the interplay between communication and…

Disordered Systems and Neural Networks · Physics 2015-06-25 M. Rosvall , K. Sneppen

We apply an ensemble pipeline composed of a character-level convolutional neural network (CNN) and a long short-term memory (LSTM) as a general tool for addressing a range of disinformation problems. We also demonstrate the ability to use…

Computation and Language · Computer Science 2019-05-28 Numa Dhamani , Paul Azunre , Jeffrey L. Gleason , Craig Corcoran , Garrett Honke , Steve Kramer , Jonathon Morgan

As social media platforms are evolving from text-based forums into multi-modal environments, the nature of misinformation in social media is also transforming accordingly. Taking advantage of the fact that visual modalities such as images…

Machine Learning · Computer Science 2024-09-19 Sara Abdali , Sina shaham , Bhaskar Krishnamachari

The proliferation of misinformation and propaganda is a global challenge, with profound effects during major crises such as the COVID-19 pandemic and the Russian invasion of Ukraine. Understanding the spread of misinformation and its social…

Social and Information Networks · Computer Science 2023-07-26 Mayana Pereira , Kevin Greene , Nilima Pisharody , Rahul Dodhia , Jacob N. Shapiro , Juan Lavista

Social networks play a fundamental role in the diffusion of information. However, there are two different ways of how information reaches a person in a network. Information reaches us through connections in our social networks, as well as…

Social and Information Networks · Computer Science 2012-06-08 Seth A. Myers , Chenguang Zhu , Jure Leskovec

The dissemination of fake news intended to deceive people, influence public opinion and manipulate social outcomes, has become a pressing problem on social media. Moreover, information sharing on social media facilitates diffusion of viral…

Social and Information Networks · Computer Science 2020-08-11 Karishma Sharma , Xinran He , Sungyong Seo , Yan Liu

The study of complex networks that account for different types of interactions has become a subject of interest in the last few years, specially because its representational power in the description of users interactions in diverse online…

Physics and Society · Physics 2015-09-17 Albert Solé-Ribalta , Clara Granell , Sergio Gómez , Alex Arenas

Social media has brought a revolution on how people are consuming news. Beyond the undoubtedly large number of advantages brought by social-media platforms, a point of criticism has been the creation of echo chambers and filter bubbles,…

Social and Information Networks · Computer Science 2018-01-08 Kiran Garimella , Aristides Gionis , Nikos Parotsidis , Nikolaj Tatti

Fads, product adoption, mobs, rumors, memes, and emergent norms are diverse social contagions that have been modeled as network cascades. Empirical study of these cascades is vulnerable to what we describe as the "opacity problem": the…

Social and Information Networks · Computer Science 2018-11-21 George Berry , Christopher J. Cameron , Patrick Park , Michael W. Macy

Nowadays, social networks such as Twitter, Facebook and LinkedIn become increasingly popular. In fact, they introduced new habits, new ways of communication and they collect every day several information that have different sources. Most…

Social and Information Networks · Computer Science 2015-01-23 Siwar Jendoubi , Arnaud Martin , Ludovic Liétard , Boutheina Ben Yaghlane

The emergence of the COVID-19 pandemic resulted in a significant rise in the spread of misinformation on online platforms such as Twitter. Oftentimes this growth is blamed on the idea of the "echo chamber." However, the behavior said to…

Social and Information Networks · Computer Science 2024-12-13 Caleb Stam , Emily Saldanha , Mahantesh Halappanavar , Anurag Acharya

The massive diffusion of social media fosters disintermediation and changes the way users are informed, the way they process reality, and the way they engage in public debate. The cognitive layer of users and the related social dynamics…

Studying information propagation dynamics in social media can elucidate user behaviors and patterns. However, previous research often focuses on single platforms and fails to differentiate between the nuanced roles of source users and other…

Social and Information Networks · Computer Science 2024-02-01 Dongpeng Hou , Shu Yin , Chao Gao , Xianghua Li , Zhen Wang

Over the past couple of years, the topic of "fake news" and its influence over people's opinions has become a growing cause for concern. Although the spread of disinformation on the Internet is not a new phenomenon, the widespread use of…

Computation and Language · Computer Science 2019-10-29 Jillian Tompkins