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Detecting Troll Behavior via Inverse Reinforcement Learning: A Case Study of Russian Trolls in the 2016 US Election [article]

Luca Luceri, Silvia Giordano, Emilio Ferrara
2020 arXiv   pre-print
As a study case, we consider the troll accounts identified by the US Congress during the investigation of Russian meddling in the 2016 US Presidential election.  ...  In this work, we propose an approach based on Inverse Reinforcement Learning (IRL) to capture troll behavior and identify troll accounts.  ...  Also, we aspire to extend the classification task to a diverse set of malicious entities motivated by different incentives. Acknowledgments.  ... 
arXiv:2001.10570v3 fatcat:vat3wjctefe4neme65csl6ydxe

Behavior-based Machine Learning Approaches to Identify State-Sponsored Trolls on Twitter

Saleh Alhazbi
2020 IEEE Access  
More recent work [37] employed Inverse Reinforcement Learning (IRL) to characterize the behavior of social accounts by inferring the reward structure behind their activities.  ...  STATE-SPONSORED TROLLS The Russian interference in the 2016 US presidential election revealed another dangerous type of cyberwarfare, which leverages social networks to propagate disinformation and manipulate  ... 
doi:10.1109/access.2020.3033666 fatcat:hzufae2rizce5n5ea7mh4rsela

TROLLMAGNIFIER: Detecting State-Sponsored Troll Accounts on Reddit [article]

Mohammad Hammas Saeed and Shiza Ali and Jeremy Blackburn and Emiliano De Cristofaro and Savvas Zannettou and Gianluca Stringhini
2021 arXiv   pre-print
TROLLMAGNIFIER learns the typical behavior of known troll accounts and identifies more that behave similarly.  ...  In particular, 66% of the detected accounts show signs of being instrumented by malicious actors (e.g., they were created on the same exact day as a known troll, they have since been suspended by Reddit  ...  We thank the anonymous reviewers for their comments and the discussion during the interactive rebuttal phase.  ... 
arXiv:2112.00443v1 fatcat:6lbqnn3bfndttc77yopnhqhlyq

Towards Understanding the Information Ecosystem Through the Lens of Multiple Web Communities [article]

Savvas Zannettou
2019 arXiv   pre-print
In this thesis, we study the information ecosystem on the Web by presenting a typology that includes the various types of false information, the involved actors and their possible motives.  ...  Finally, when studying state-sponsored actors, we find that they were particularly influential in spreading news on popular communities like Twitter and Reddit.  ...  Most of the tweets from Russian trolls are deleted in October 2016, suggesting that these accounts attempted to get a clean slate a few months before the 2016 US elections.6.1.3.5 Case StudyWhile the previous  ... 
arXiv:1911.10517v1 fatcat:piuwv7zv7zghlof5tqhuhnukla

Down the bot hole: Actionable insights from a one-year analysis of bot activity on Twitter

Luca Luceri, Felipe Cardoso, Silvia Giordano
2021 First Monday  
Detecting troll behavior via inverse reinforcement learning: A case study of Russian trolls in the 2016 US election,” Proceedings of the International Conference of Web and Social Media , volume 14, at  ...  “Characterizing the use of images in state-sponsored information warfare operations by Russian trolls on Twitter,” Proceedings of the Fourteenth International AAAI Conference on Web and Social Media ,  ... 
doi:10.5210/fm.v26i3.11441 dblp:journals/firstmonday/LuceriCG21 fatcat:2krdpirbhbdszizy5ftn3vnsd4

The Web of False Information: Rumors, Fake News, Hoaxes, Clickbait, and Various Other Shenanigans [article]

Savvas Zannettou, Michael Sirivianos, Jeremy Blackburn, Nicolas Kourtellis
2019 arXiv   pre-print
In this paper, we make a step in this direction by providing a typology of the Web's false information ecosystem, comprising various types of false information, actors, and their motives.  ...  of false information; 3) detecting and containing false information on the Web; and 4) false information on the political stage.  ...  Acknowledgments This work is supported by the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie "ENCASE" project (Grant Agreement No. 691025).  ... 
arXiv:1804.03461v3 fatcat:n6tcgwt3wfcpnlrcfiwrz7trj4

The Web of False Information: Rumors, Fake News, Hoaxes, Clickbait, and Various Other Shenanigans [article]

Savvas Zannettou, Michael Sirivianos, Jeremy Blackburn, Nicolas Kourtellis
2018 Zenodo  
In this paper, we make a step in this direction by providing a taxonomy of the Web's false information ecosystem, comprising various types of false information, actors, and their motives.  ...  of false information; 3) detecting and containing false information on the Web; and 4) false information on the political stage.  ...  [154] (R) Acknowledgments This work is supported by the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie "ENCASE" project (Grant Agreement No. 691025  ... 
doi:10.5281/zenodo.1479936 fatcat:ocyoy7z7dfcjzhhhxym47j5bhy

TheWeb of False Information: Rumors, Fake News, Hoaxes, Clickbait, and Various Other Shenanigans

Savvas, Michael, Jeremy, Nicolas
2018 Zenodo  
In this paper, we make a step in this direction by providing a taxonomy of the Web's false information ecosystem, comprising various types of false information, actors, and their motives.  ...  of false information; 3) detecting and containing false information on the Web; and 4) false information on the political stage.  ...  Acknowledgments This work is supported by the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie "ENCASE" project (Grant Agreement No. 691025).  ... 
doi:10.5281/zenodo.1216801 fatcat:tm3jtrnxurfqtbhccjkabjazci

Loops, ladders and links: the recursivity of social and machine learning

Marion Fourcade, Fleur Johns
2020 Theory and society  
In this article, we draw on examples from the field of social media to review the commonalities, interactions, and contradictions between the dispositions of people and those of machines as they learn  ...  Machine learning algorithms reshape how people communicate, exchange, and associate; how institutions sort them and slot them into social positions; and how they experience life, down to the most ordinary  ...  An earlier version of this article was presented at the "Social and Ethical Challenges of Machine Learning" workshop at the Institute for Advanced Study, Princeton, November 2019.  ... 
doi:10.1007/s11186-020-09409-x pmid:32863532 pmcid:PMC7448267 fatcat:o52njc2mubadzhpgk6wuul67ve

A Feature-Driven Approach for Identifying Pathogenic Social Media Accounts [article]

Hamidreza Alvari, Ghazaleh Beigi, Soumajyoti Sarkar, Scott W. Ruston, Steven R. Corman, Hasan Davulcu, Paulo Shakarian
2020 arXiv   pre-print
Understanding the spread of misinformation from account-level perspective is thus a pressing problem. In this work, we aim to present a feature-driven approach to detect PSM accounts in social media.  ...  For the user-related information, we investigate malicious signals using causality analysis (i.e., if user is frequently a cause of viral cascades) and profile characteristics (e.g., number of followers  ...  In a different attempt, the work of [26] studied the problem of spam detection in Wikipedia using different spammers behavioral features.  ... 
arXiv:2001.04624v1 fatcat:5po5rtok3rfj5dhst5gvfsvgr4

The Information in Emotion Communication [article]

Alison Duncan Kerr, Kevin Scharp
2020 arXiv   pre-print
How much information is transmitted when animals use emotions to communicate? It is clear that emotions are used as communication systems in humans and other species.  ...  The quantitative theory of emotion information presented here is based on Shannon's mathematical theory of information in communication systems.  ...  in the 2016 UK Brexit Election and the 2016 US Presidential Election.  ... 
arXiv:2002.08470v1 fatcat:57wauv3s7nfcdb52bamge3jbsm

The Democratization of Artificial Intelligence [chapter]

Andreas Sudmann
2019 The Democratization of Artificial Intelligence  
Stokel-Walker, Chris (2019): Feeding algorithms is a full-time job. BBC (http:// www.bbc.com/capital/story/20190307-the-hidden-armies-that-power-the-in ternets-new-stars) [Last access 24.4.2019].  ...  Tsing, Anna (2015): A Feminist Approach to the Anthropocene: Earth Stalked by Man. Lecture held at the Barnard College for Women. (https://www.youtube. com/watch?  ...  Thanks to the Center for Advanced Internet Studies (CAIS) in Bochum, where I was a Fellow during the summer of 2019 as I completed this text.  ... 
doi:10.1515/9783839447192-001 fatcat:7yjb2m5p7jdt7dvkpzsuttbvf4

Novi oblici manipuliranja u digitaliziranom prostoru javnog znanja i potreba za uspostavom digitalnog i podatkovnog suvereniteta

Nikola Mlinac, Gordan Akrap, Jadranka Lasić Lazić
2021 National security and the future  
Executive Summary This report analyses citizens' vulnerabilities to disinformation and hostile narratives, taking the 2018 Italian General Election as a case study.  ...  Its origins and how it grew in 2016, The Telegraph, 17 June 2017. 7 Flemming Splidsboel Hansen, Russian Hybrid Warfare: A Study of Disinformation, ETH Center for Security Studies, September 2017. 8 William  ... 
doi:10.37458/nstf.21.3.1 fatcat:e6nysn5k35cy7cjib2bmzubcne

Anonymity and Democracy: Absence as Presence in the Public Sphere

HANS ASENBAUM
2018 American Political Science Review  
Rather, it is treated as a self-explanatory concept related to privacy. To overcome this omission, this article develops a complex understanding of anonymity in the context of democratic theory.  ...  Although anonymity is a central feature of liberal democracies—not only in the secret ballot, but also in campaign funding, publishing political texts, masked protests, and graffiti—it has so far not been  ...  In these cases, masking was used in public lynchings to avoid detection.  ... 
doi:10.1017/s0003055418000163 fatcat:iotdheknrzecdicqt5qqy6nbde

Privacy Leakage And the Manipulation of Public Opinion in Online Social Networks

Luca Luceri, Torsten Braun
2020 unpublished
I have to thank him for all the (countless) things I have learned from him. He has been fundamental in broadening my horizons in research and in looking at problems from a different prospective.  ...  I greatly thank her also, and enormously, for gifting me the most wonderful experience of my life: I will always be grateful to her for my working period and experience in US.  ...  , under the frame of the Swiss National Science Foundation (SNSF) project "SwissSenseSinergy", allowed me to pursue a Ph.D..  ... 
doi:10.7892/boris.142613 fatcat:ewpaf2h46nbctjsmjkdsa5ly44
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