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相关论文: Investigating the Validity of Botometer-based Soci…

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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…

A number of organizations ranging from terrorist groups such as ISIS to politicians and nation states reportedly conduct explicit campaigns to influence opinion on social media, posing a risk to democratic processes. There is thus a growing…

Until recently, social media was seen to promote democratic discourse on social and political issues. However, this powerful communication platform has come under scrutiny for allowing hostile actors to exploit online discussions in an…

社会与信息网络 · 计算机科学 2018-11-01 Adam Badawy , Emilio Ferrara , Kristina Lerman

Powered by large language models, a new genre of multi-agent social platforms has emerged. Apps such as Social.AI deploy numerous AI agents that emulate human behavior, creating unprecedented bot-centric social networks. Yet, existing…

人机交互 · 计算机科学 2026-01-27 Qiufang Yu , Mengmeng Wu , Xingyu Lan

Large-scale manipulations on social media have two important characteristics: (i) use of propaganda to influence others, and (ii) adoption of coordinated behavior to spread it and to amplify its impact. Despite the connection between them,…

社会与信息网络 · 计算机科学 2022-05-24 Kristina Hristakieva , Stefano Cresci , Giovanni Da San Martino , Mauro Conti , Preslav Nakov

One way to assess a certain aspect of the value of scientific research is to measure the attention it receives on social media. While previous research has mostly focused on the "number of mentions" of scientific research on social media,…

信息检索 · 计算机科学 2021-09-03 Robin Haunschild , Lutz Bornmann , Devendra Potnis , Iman Tahamtan

The diffusion of opinions in Social Networks is a relevant process for adopting positions and attracting potential voters in political campaigns. Opinion polarization, bias, targeted diffusion, and the radicalization of postures are key…

物理与社会 · 物理学 2022-01-10 Didier A. Vega-Oliveros , Helder L. C. Grande , Flavio Iannelli , Federico Vazquez

Toxicity is endemic to online social networks including Twitter. It follows a Pareto like distribution where most of the toxicity is generated by a very small number of profiles and as such, analyzing and characterizing these toxic profiles…

社会与信息网络 · 计算机科学 2023-03-28 Hina Qayyum , Benjamin Zi Hao Zhao , Ian D. Wood , Muhammad Ikram , Mohamed Ali Kaafar , Nicolas Kourtellis

For many, social networks have become the primary source of news, although the correctness of the provided information and its trustworthiness are often unclear. The investigations of the 2016 US presidential elections have brought the…

密码学与安全 · 计算机科学 2019-12-10 Ansgar Kellner , Lisa Rangosch , Christian Wressnegger , Konrad Rieck

Accurate bot detection is necessary for the safety and integrity of online platforms. It is also crucial for research on the influence of bots in elections, the spread of misinformation, and financial market manipulation. Platforms deploy…

机器学习 · 计算机科学 2023-05-02 Chris Hays , Zachary Schutzman , Manish Raghavan , Erin Walk , Philipp Zimmer

There is evidence that Russia's Internet Research Agency attempted to interfere with the 2016 U.S. election by running fake accounts on Twitter - often referred to as "Russian trolls". In this work, we: 1) develop machine learning models…

Although not all bots are malicious, the vast majority of them are responsible for spreading misinformation and manipulating the public opinion about several issues, i.e., elections and many more. Therefore, the early detection of bots is…

计算与语言 · 计算机科学 2024-07-31 Loukas Ilias , Ioannis Michail Kazelidis , Dimitris Askounis

Social media is interactive, and interaction brings misinformation. With the growing amount of user-generated data, fake news on online platforms has become much frequent since the arrival of social networks. Now and then, an event occurs…

社会与信息网络 · 计算机科学 2021-11-24 Chahat Raj , Priyanka Meel

Many Twitter users are bots. They can be used for spamming, opinion manipulation and online fraud. Recently we discovered the Star Wars botnet, consisting of more than 350,000 bots tweeting random quotations exclusively from Star Wars…

社会与信息网络 · 计算机科学 2017-10-10 Juan Echeverria , Christoph Besel , Shi Zhou

Social media has become a key medium of communication in today's society. This realisation has led to many parties employing artificial users (or bots) to mislead others into believing untruths or acting in a beneficial manner to such…

机器学习 · 计算机科学 2025-09-19 Rohan Veit , Michael Lones

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…

社会与信息网络 · 计算机科学 2023-04-19 Jun Wu , Xuesong Ye , Chengjie Mou

The world's digital transformation has influenced not only the way we do business, but also the way we perform daily activities. In fact, the past Presidential elections in the United States as well as those in Great Britain (Brexit) and in…

计算机与社会 · 计算机科学 2018-07-18 Daniel Riofrio , Anacaren Ruiz , Erin Sosebee , Qasim Raza , Adnan Bashir , Jed Crandall

It is a widely accepted fact that state-sponsored Twitter accounts operated during the 2016 US presidential election, spreading millions of tweets with misinformation and inflammatory political content. Whether these social media campaigns…

社会与信息网络 · 计算机科学 2024-10-30 Nikos Salamanos , Michael J. Jensen , Costas Iordanou , Michael Sirivianos

While social networks can provide an ideal platform for up-to-date information from individuals across the world, it has also proved to be a place where rumours fester and accidental or deliberate misinformation often emerges. In this…

Automated accounts on social media have become increasingly problematic. We propose a key feature in combination with existing methods to improve machine learning algorithms for bot detection. We successfully improve classification…

社会与信息网络 · 计算机科学 2019-04-30 Laurenz A Cornelissen , Petrus Schoonwinkel , Richard J Barnett