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With the increasing growth of social media, people have started relying heavily on the information shared therein to form opinions and make decisions. While such a reliance is motivation for a variety of parties to promote information, it…

Computation and Language · Computer Science 2019-12-17 Rahul Radhakrishnan Iyer , Katia Sycara

Malicious accounts spreading misinformation has led to widespread false and misleading narratives in recent times, especially during the COVID-19 pandemic, and social media platforms struggle to eliminate these contents rapidly. This is…

Social and Information Networks · Computer Science 2022-02-28 Karishma Sharma , Emilio Ferrara , Yan Liu

We consider the problem of identifying coordinated influence campaigns conducted by automated agents or bots in a social network. We study several different Twitter datasets which contain such campaigns and find that the bots exhibit…

Social and Information Networks · Computer Science 2018-05-28 Nicolas Guenon des Mesnards , Tauhid Zaman

$\textit{Fake followers}$ are those Twitter accounts specifically created to inflate the number of followers of a target account. Fake followers are dangerous for the social platform and beyond, since they may alter concepts like popularity…

Social and Information Networks · Computer Science 2020-06-29 Stefano Cresci , Roberto Di Pietro , Marinella Petrocchi , Angelo Spognardi , Maurizio Tesconi

Social connections are conduits through which individuals communicate, information propagates, and diseases spread. Identifying individuals who are more likely to adopt ideas and spread them is essential in order to develop effective…

Social and Information Networks · Computer Science 2024-10-31 Vedran Sekara , Ivan Dotu , Manuel Cebrian , Esteban Moro , Manuel Garcia-Herranz

Socialbots are software-driven user accounts on social platforms, acting autonomously (mimicking human behavior), with the aims to influence the opinions of other users or spread targeted misinformation for particular goals. As socialbots…

Social and Information Networks · Computer Science 2022-03-01 Thai Le , Long Tran-Thanh , Dongwon Lee

This is an approach to detecting a subset of bots on Twitter, that at best is under-researched. This approach will be generic enough to be adaptable to most, if not all social networks. The subset of bots this focuses on are those that can…

Social and Information Networks · Computer Science 2018-08-30 Jeremy Fields

Increasing evidence suggests that a growing amount of social media content is generated by autonomous entities known as social bots. In this work we present a framework to detect such entities on Twitter. We leverage more than a thousand…

Social and Information Networks · Computer Science 2017-03-28 Onur Varol , Emilio Ferrara , Clayton A. Davis , Filippo Menczer , Alessandro Flammini

Among the topics discussed in Social Media, some lead to controversy. A number of recent studies have focused on the problem of identifying controversy in social media mostly based on the analysis of textual content or rely on global…

Social and Information Networks · Computer Science 2017-03-16 Mauro Coletto , Kiran Garimella , Aristides Gionis , Claudio Lucchese

Online Social Networks (OSNs) witness a rise in user activity whenever an event takes place. Malicious entities exploit this spur in user-engagement levels to spread malicious content that compromises system reputation and degrades user…

Social and Information Networks · Computer Science 2015-01-06 Prateek Dewan , Ponnurangam Kumaraguru

Users polarization and confirmation bias play a key role in misinformation spreading on online social media. Our aim is to use this information to determine in advance potential targets for hoaxes and fake news. In this paper, we introduce…

Social and Information Networks · Computer Science 2018-02-06 Michela Del Vicario , Walter Quattrociocchi , Antonio Scala , Fabiana Zollo

Society is experimenting changes in information consumption, as new information channels such as social networks let people share news that do not necessarily be trust worthy. Sometimes, these sources of information produce fake news…

Artificial Intelligence · Computer Science 2020-04-03 Eduardo C. Garrido-Merchán , Cristina Puente , Rafael Palacios

The automatic identification of harmful content online is of major concern for social media platforms, policymakers, and society. Researchers have studied textual, visual, and audio content, but typically in isolation. Yet, harmful content…

It is commonly believed that information spreads between individuals like a pathogen, with each exposure by an informed friend potentially resulting in a naive individual becoming infected. However, empirical studies of social media suggest…

Social and Information Networks · Computer Science 2014-03-24 Nathan O. Hodas , Kristina Lerman

With social media, the flow of uncertified information is constantly increasing, with the risk that more people will trust low-credible information sources. To design effective strategies against this phenomenon, it is of paramount…

Physics and Society · Physics 2023-07-10 Enrico Maria Fenoaltea , Alejandro Lage-Castellanos

Research on social bot detection plays a crucial role in maintaining the order and reliability of information dissemination while increasing trust in social interactions. The current mainstream social bot detection models rely on black-box…

Social and Information Networks · Computer Science 2024-05-07 Hao Peng , Jingyun Zhang , Xiang Huang , Zhifeng Hao , Angsheng Li , Zhengtao Yu , Philip S. Yu

The communication revolution has perpetually reshaped the means through which people send and receive information. Social media is an important pillar of this revolution and has brought profound changes to various aspects of our lives.…

Social and Information Networks · Computer Science 2022-01-17 Bilal Abu-Salih , Dana Al Qudah , Malak Al-Hassan , Seyed Mohssen Ghafari , Tomayess Issa , Ibrahim Aljarah , Amin Beheshti , Sulaiman Alqahtan

The plague of false information, popularly called fake news has affected lives of news consumers ever since the prevalence of social media. Thus understanding the spread of false information in social networks has gained a lot of attention…

Social and Information Networks · Computer Science 2021-02-05 Bhavtosh Rath , Wei Gao , Jaideep Srivastava

Misinformation proliferation on social media platforms is a pervasive threat to the integrity of online public discourse. Genuine users, susceptible to others' influence, often unknowingly engage with, endorse, and re-share questionable…

Social and Information Networks · Computer Science 2025-01-30 Jinyi Ye , Luca Luceri , Julie Jiang , Emilio Ferrara

Conspiracy theories can threaten society by spreading misinformation, deepening polarization, and eroding trust in democratic institutions. Social media often fuels the spread of conspiracies, primarily driven by two key actors:…

Social and Information Networks · Computer Science 2026-02-05 Florian Kramer , Henrich R. Greve , Moritz von Zahn , Hayagreeva Rao