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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

Social media, once hailed as a vehicle for democratization and the promotion of positive social change across the globe, are under attack for becoming a tool of political manipulation and spread of disinformation. A case in point is the…

社会与信息网络 · 计算机科学 2018-08-13 Adam Badawy , Kristina Lerman , Emilio Ferrara

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 2019-10-07 Nikos Salamanos , Michael J. Jensen , Xinlei He , Yang Chen , Michael Sirivianos

The fifty-eighth American presidential election in 2016 still arouse fierce controversyat present. A portion of politicians as well as medium and voters believe that theRussian government interfered with the election of 2016 by controlling…

信息检索 · 计算机科学 2019-11-26 Bokun Kong

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…

The Russia-based Internet Research Agency (IRA) carried out a broad information campaign in the U.S. before and after the 2016 presidential election. The organization created an expansive set of internet properties: web domains, Facebook…

社会与信息网络 · 计算机科学 2018-10-25 Alexander Spangher , Gireeja Ranade , Besmira Nushi , Adam Fourney , Eric Horvitz

Social media platforms have been exploited to conduct election interference in recent years. In particular, the Russian-backed Internet Research Agency (IRA) has been identified as a key source of misinformation spread on Twitter prior to…

计算机与社会 · 计算机科学 2021-02-17 Upasana Dutta , Rhett Hanscom , Jason Shuo Zhang , Richard Han , Tamara Lehman , Qin Lv , Shivakant Mishra

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

Over the past couple of years, anecdotal evidence has emerged linking coordinated campaigns by state-sponsored actors with efforts to manipulate public opinion on the Web, often around major political events, through dedicated accounts, or…

We investigate the political roles of "Internet trolls" in social media. Political trolls, such as the ones linked to the Russian Internet Research Agency (IRA), have recently gained enormous attention for their ability to sway public…

计算与语言 · 计算机科学 2019-10-07 Atanas Atanasov , Gianmarco De Francisci Morales , Preslav Nakov

Since the 2016 US Presidential election, social media abuse has been eliciting massive concern in the academic community and beyond. Preventing and limiting the malicious activity of users, such as trolls and bots, in their manipulation…

社会与信息网络 · 计算机科学 2020-06-08 Luca Luceri , Silvia Giordano , Emilio Ferrara

In a review into automated and malicious activity Twitter released a list of accounts that they believed were connected to state sponsored manipulation of the 2016 American Election. This list details 2,752 accounts Twitter believed to be…

社会与信息网络 · 计算机科学 2018-01-29 Clare Llewellyn , Laura Cram , Adrian Favero , Robin L. Hill

The role of social media in promoting media pluralism was initially viewed as wholly positive. However, some governments are allegedly manipulating social media by hiring online commentators (also known as trolls) to spread propaganda and…

社会与信息网络 · 计算机科学 2020-05-15 Alexandr Vesselkov , Benjamin Finley , Jouko Vankka

The Russian invasion of Ukraine in February 2022 was accompanied by practices of information warfare, yet existing evidence is largely anecdotal while large-scale empirical evidence is lacking. Here, we analyze the spread of pro-Russian…

社会与信息网络 · 计算机科学 2023-08-28 Dominique Geissler , Dominik Bär , Nicolas Pröllochs , Stefan Feuerriegel

The Internet Research Agency (IRA) influences online political conversations in the United States, exacerbating existing partisan divides and sowing discord. In this paper we investigate the IRA's communication strategies by analyzing…

社会与信息网络 · 计算机科学 2022-04-06 Siva K. Balasubramanian , Mustafa Bilgic , Aron Culotta , Libby Hemphill , Anita Nikolich , Matthew A. Shapiro

State-sponsored organizations are increasingly linked to efforts aimed to exploit social media for information warfare and manipulating public opinion. Typically, their activities rely on a number of social network accounts they control,…

社会与信息网络 · 计算机科学 2021-01-12 Savvas Zannettou , Tristan Caulfield , Barry Bradlyn , Emiliano De Cristofaro , Gianluca Stringhini , Jeremy Blackburn

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

Efforts by foreign actors to influence public opinion have gained considerable attention because of their potential to impact democratic elections. Thus, the ability to identify and counter sources of disinformation is increasingly becoming…

社会与信息网络 · 计算机科学 2022-10-13 Mark M. Bailey

Russian Internet Trolls use fake personas to spread disinformation through multiple social media streams. Given the increased frequency of this threat across social media platforms, understanding those operations is paramount in combating…

社会与信息网络 · 计算机科学 2024-09-16 Sachith Dassanayaka , Ori Swed , Dimitri Volchenkov

We developed and used a collection of statistical methods (unsupervised machine learning) to extract relevant information from a Twitter supplied data set consisting of alleged Russian trolls who (allegedly) attempted to influence the 2016…

社会与信息网络 · 计算机科学 2018-10-04 Christopher Griffin , Brady Bickel
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