Filters








374 Hits in 8.0 sec

Red Bots Do It Better: Comparative Analysis of Social Bot Partisan Behavior [article]

Luca Luceri, Ashok Deb, Adam Badawy, Emilio Ferrara
2019 arXiv   pre-print
We use the collected tweets to answer three research questions: (i) Do social bots lean and behave according to a political ideology?  ...  Recent research brought awareness of the issue of bots on social media and the significant risks of mass manipulation of public opinion in the context of political discussion.  ...  The authors gratefully acknowledge support by the Air Force Office of Scientific Research (award #FA9550-17-1-0327). L.  ... 
arXiv:1902.02765v2 fatcat:qhr735ohavebvcqio56mcaivq4

Red Bots Do It Better: Comparative Analysis of Social Bot Partisan Behavior

Luceri Luca, Deb Ashok, Badawy Adam, Ferrara Emilio
2019
We use the collected tweets to answer three research questions: (i) Do social bots lean and behave according to a political ideology?  ...  Recent research brought awareness of the issue of bots on social media and the significant risks of mass manipulation of public opinion in the context of political discussion.  ...  The authors gratefully acknowledge support by the Air Force Office of Scientific Research (award #FA9550-17-1-0327). L.  ... 
doi:10.7892/boris.131225 fatcat:cesueuf6cfhwjleywuhxwx6lmi

Neutral bots probe political bias on social media

Wen Chen, Diogo Pacheco, Kai-Cheng Yang, Filippo Menczer
2021 Nature Communications  
We deploy neutral social bots who start following different news sources on Twitter, and track them to probe distinct biases emerging from platform mechanisms versus user interactions.  ...  Partisan accounts, especially conservative ones, tend to receive more followers and follow more automated accounts.  ...  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the funding agencies.  ... 
doi:10.1038/s41467-021-25738-6 pmid:34552073 pmcid:PMC8458339 fatcat:wgwjbpqxbneidpkick24a65ifu

Neutral bots probe political bias on social media [article]

Wen Chen, Diogo Pacheco, Kai-Cheng Yang, Filippo Menczer
2021 arXiv   pre-print
Social media platforms attempting to curb abuse and misinformation have been accused of political bias.  ...  We deploy neutral social bots who start following different news sources on Twitter, and track them to probe distinct biases emerging from platform mechanisms versus user interactions.  ...  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the funding agencies.  ... 
arXiv:2005.08141v4 fatcat:e3fjimddsrbafnmblxpulz3m6m

Bots, Disinformation, and the First Trump Impeachment [article]

Michael Rossetti, Tauhid Zaman
2022 arXiv   pre-print
We study the behavior of bots on Twitter during the first impeachment of U.S. President Donald Trump.  ...  Automated social media accounts, known as bots, have been shown to spread disinformation and manipulate online discussions.  ...  However, these statistics do not incorporate the interaction of social network structure, user activity levels, and user sentiment.  ... 
arXiv:2204.08915v2 fatcat:clkfsnwwrvhkddw6ppukwuydsi

Bot Datasets on Twitter: Analysis and Challenges

Luis Daniel Samper-Escalante, Octavio Loyola-González, Raúl Monroy, Miguel Angel Medina-Pérez
2021 Applied Sciences  
From this analysis, we present five distinct behaviors in automated accounts exhibited across all the bot datasets analyzed from these databases.  ...  The reach and influence of social networks over modern society and its functioning have created new challenges and opportunities to prevent the misuse or tampering of such powerful tools of social interaction  ...  We expected this behavior as humans do not try to follow people as much as possible compared to bots.  ... 
doi:10.3390/app11094105 fatcat:gqwtqohfvfg7hl53ggfoea7mdi

Arming the public with artificial intelligence to counter social bots

Kai‐Cheng Yang, Onur Varol, Clayton A. Davis, Emilio Ferrara, Alessandro Flammini, Filippo Menczer
2019 Human Behavior and Emerging Technologies  
The arms race between machine learning methods to develop sophisticated bots and effective countermeasures makes it necessary to update the training data and features of detection tools.  ...  A user experience survey suggests that bot detection has become an integral part of the social media experience for many users.  ...  Using multiple models may lead to better discrimination between human behavior and specific bot strategies.  ... 
doi:10.1002/hbe2.115 fatcat:3527t6gj5zg7tjhtvyx7jxqr4y

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  
Red bots do it better: Comparative analysis of social bot partisan behavior,” WWW ’19: Companion Proceedings of the 2019 World Wide Web Conference , pp. 1,007–1,012. doi: https://doi.org/10.1145/3308560.3316735  ...  “Characterizing social bots spreading financial disinformation,” In: G. Meiselwitz (editor). Social computing and social media. Design, ethics, user behavior, and social network analysis. HCII 2020.  ... 
doi:10.5210/fm.v26i3.11441 dblp:journals/firstmonday/LuceriCG21 fatcat:2krdpirbhbdszizy5ftn3vnsd4

The strength of weak bots

Marijn A. Keijzer, Michael Mäs
2021 Online Social Networks and Media  
On the one hand, the content emitted by bots tends to spread very quickly in the networks. On the other hand, it turned out that bots' ability to contact human users tends to be very limited.  ...  To demonstrate this effect, we included bots in Axelrod's seminal model of the dissemination of cultures and conducted simulation experiments demonstrating the strength of weak bots.  ...  on an early version of this work.  ... 
doi:10.1016/j.osnem.2020.100106 fatcat:eq5dkqygfjcd7dtzyp66gyzcyq

Human-Misinformation interaction: Understanding the interdisciplinary approach needed to computationally combat false information [article]

Alireza Karduni
2019 arXiv   pre-print
Using the framework, I overview the existing computational methods that deal with 1) misinformation detection and fact-checking using Content 2) Identifying untrustworthy Sources and social bots, and 3  ...  The prevalence of new technologies and social media has amplified the effects of misinformation on our societies.  ...  The Feature-based category focuses on feature engineering from bots' behaviors and content and uses Machine Learning to predict Social Bots. "Bot or Not?"  ... 
arXiv:1903.07136v1 fatcat:4xvcnuvqobag7o7pknadnrhymi

Disinformation and social bot operations in the run up to the 2017 French presidential election

Emilio Ferrara
2017 First Monday  
We provide a characterization of both the bots and the users who engaged with them, and oppose it to those users who didn't.  ...  Some disinformation campaigns have been coordinated by means of bots, social media accounts controlled by computer scripts that try to disguise themselves as legitimate human users.  ...  ACKNOWLEDGEMENTS This work is supported in part by the Air Force Office of Scientific Research.  ... 
doi:10.5210/fm.v22i8.8005 fatcat:evkjbqohajgixm74syqaxhknte

Disinformation and Social Bot Operations in the Run Up to the 2017 French Presidential Election

Emilio Ferrara
2017 Social Science Research Network  
We provide a characterization of both the bots and the users who engaged with them, and oppose it to those users who didn't.  ...  Some disinformation campaigns have been coordinated by means of bots, social media accounts controlled by computer scripts that try to disguise themselves as legitimate human users.  ...  ACKNOWLEDGEMENTS This work is supported in part by the Air Force Office of Scientific Research.  ... 
doi:10.2139/ssrn.2995809 fatcat:iuehz5zogrck5ftgv755t6xnni

Assessing the risks of "infodemics" in response to COVID-19 epidemics [article]

Riccardo Gallotti, Francesco Valle, Nicola Castaldo, Pierluigi Sacco, Manlio De Domenico
2020 arXiv   pre-print
We found that waves of unreliable and low-quality information anticipate the epidemic ones, exposing entire countries to irrational social behavior and serious threats for public health.  ...  We analyzed more than 100 millions Twitter messages posted worldwide in 64 languages during the epidemic emergency due to SARS-CoV-2 and classified the reliability of news diffused.  ...  Acknowledgements We acknowledge the support of the FBK's Digital Society Department and the FBK's Flagship Project CHUB (Computational Human Behavior).  ... 
arXiv:2004.03997v2 fatcat:yizdmacdjfblpmscpg36fceose

Perils and Challenges of Social Media and Election Manipulation Analysis: The 2018 US Midterms [article]

Ashok Deb, Luca Luceri, Adam Badawy, Emilio Ferrara
2019 arXiv   pre-print
This analysis highlighted three states of concern: New York, California, and Texas. We repeated our analysis discarding malicious accounts, such as social bots.  ...  We conclude by providing an in-depth discussion of the perils and challenges of using social media data to explore questions about election manipulation.  ...  The authors gratefully acknowledge support by the Air Force Office of Scientific Research (award #FA9550-17-1-0327). L.  ... 
arXiv:1902.00043v1 fatcat:skuptzjknzbpvocqpitc7jvghy

Opinion Manipulation on Farsi Twitter [article]

Amirhossein Farzam, Parham Moradi, Saeedeh Mohammadi, Zahra Padar, Alexandra A. Siegel
2022 arXiv   pre-print
Examining trending discussions crossing social cleavages in Iran, we explore how the dynamics of opinion manipulation differ across diverse issue areas.  ...  Our analysis suggests that opinion manipulation by inauthentic accounts is more prevalent in divisive political discussions than non-divisive or apolitical discussions.  ...  Acknowledgements In the initial phase of this project, the authors were given access to resources in the Center for Complex Networks and Social Data Science overseen by Dr. Gholamreza Jafari.  ... 
arXiv:2205.09296v2 fatcat:mjva5rix6re3dbl64zynaiib4m
« Previous Showing results 1 — 15 out of 374 results