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Screening Out Social Bots Interference: Are There Any Silver Bullets? | IEEE Journals & Magazine | IEEE Xplore

Screening Out Social Bots Interference: Are There Any Silver Bullets?


Abstract:

Social networks are a primary source of news and information that can be steered, distorted, and influenced. Recent scandals such as the one involving Cambridge Analytics...Show More

Abstract:

Social networks are a primary source of news and information that can be steered, distorted, and influenced. Recent scandals such as the one involving Cambridge Analytics proved that social media users are prone to such direct manipulation. Among the weapons available to perform these anti-democracy attacks, Social Bots are beyond question the most powerful one. These autonomous entities constitute coordinated armies that sneakily manipulate and deceive real users. Thus, our research identifies five major challenges that the research community needs to face toward tackling Social Bots activities in four individual but comparable scenarios. To address these key challenges, we propose, elaborate, and evaluate a mix of remedies in the form of a proof-of-concept platform combining the agility of artificial intelligence with the expertise of human analysts to detect and shield against Social Bots interference.
Published in: IEEE Communications Magazine ( Volume: 57, Issue: 8, August 2019)
Page(s): 98 - 104
Date of Publication: 21 August 2019

ISSN Information:

Citations are not available for this document.

Do You Feel in Control of What You See on Social Media?

Undoubtedly, social networks constitute a cornerstone for massive information sharing, and their popularity renders them an impactful means of forming public opinion. To some extent, these social platforms have changed our lives; anything that happens in the digital world also affects real life. For example, the recent scandal of Cambridge Analytics made clear how social media (SM) big data can be used to affect physical events. SM have, in fact, evolved in a way where over two-thirds of U.S. residents are actively interacting with news in social networks instead of classic mass media [1].

Cites in Papers - |

Cites in Papers - IEEE (4)

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1.
Sainath Gannarapu, Ahmed Dawoud, Rasha S. Ali, Ali Alwan, "Bot Detection Using Machine Learning Algorithms on Social Media Platforms", 2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA), pp.1-8, 2020.
2.
Javier Pastor-Galindo, Mattia Zago, Pantaleone Nespoli, Sergio López Bernal, Alberto Huertas Celdrán, Manuel Gil Pérez, José A. Ruipérez-Valiente, Gregorio Martínez Pérez, Félix Gómez Mármol, "Spotting Political Social Bots in Twitter: A Use Case of the 2019 Spanish General Election", IEEE Transactions on Network and Service Management, vol.17, no.4, pp.2156-2170, 2020.
3.
Dijana Ilišević, Nataša Banović-Ćurguz, Sarita Vujković, "Creating of Digital Life in Art Museums", 2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO), pp.1356-1360, 2020.
4.
Javier Pastor-Galindo, Pantaleone Nespoli, Félix Gómez Mármol, Gregorio Martínez Pérez, "The Not Yet Exploited Goldmine of OSINT: Opportunities, Open Challenges and Future Trends", IEEE Access, vol.8, pp.10282-10304, 2020.

Cites in Papers - Other Publishers (13)

1.
Salvador Lopez-Joya, Jose A. Diaz-Garcia, M. Dolores Ruiz, Maria J. Martin-Bautista, "Dissecting a social bot powered by generative AI: anatomy, new trends and challenges", Social Network Analysis and Mining, vol.15, no.1, 2025.
2.
Jiamin Hu, Junnan Li, , 2025.
3.
Shaghayegh Najari, Davood Rafiei, Mostafa Salehi, Reza Farahbakhsh, "Adversarial botometer: adversarial analysis for social bot detection", Social Network Analysis and Mining, vol.14, no.1, 2024.
4.
Serena Armstrong, Caitlin Neal, Rongwei Tang, Hyejoon Rim, Emily K. Vraga, "Bot Versus Humans: Who Can Challenge Corporate Hypocrisy on Social Media?", Social Media + Society, vol.10, no.4, 2024.
5.
Zineb Ellaky, Faouzia Benabbou, "Political Social Media Bot Detection: Unveiling Cutting-edge Feature Selection and Engineering Strategies in Machine Learning Model Development", Scientific African, pp.e02269, 2024.
6.
Andrés Zapata Rozo, Alejandra Campo-Archbold, Daniel Díaz-López, Ian Gray, Javier Pastor-Galindo, Pantaleone Nespoli, Félix Gómez Mármol, Damon McCoy, "Cyber democracy in the digital age: Characterizing hate networks in the 2022 US midterm elections", Information Fusion, pp.102459, 2024.
7.
Ilias Dimitriadis, George Dialektakis, Athena Vakali, "CALEB: A Conditional Adversarial Learning Framework to enhance bot detection", Data & Knowledge Engineering, pp.102245, 2023.
8.
Sofia Strukova, José A. Ruipérez-Valiente, Félix Gómez Mármol, "Computational approaches to detect experts in distributed online communities: a case study on Reddit", Cluster Computing, 2023.
9.
Zineb Ellaky, Faouzia Benabbou, Sara Ouahabi, "Systematic Literature Review of Social Media Bots Detection Systems", Journal of King Saud University - Computer and Information Sciences, vol.35, no.5, pp.101551, 2023.
10.
Noémi Bontridder, Yves Poullet, "The role of artificial intelligence in disinformation", Data & Policy, vol.3, 2021.
11.
Ilias Dimitriadis, Konstantinos Georgiou, Athena Vakali, "Social Botomics: A Systematic Ensemble ML Approach for Explainable and Multi-Class Bot Detection", Applied Sciences, vol.11, no.21, pp.9857, 2021.
12.
Xiujuan Chen, Shanbing Gao, Xue Zhang, "Visual analysis of global research trends in social bots based on bibliometrics", Online Information Review, vol.ahead-of-print, no.ahead-of-print, 2021.
13.
Stefano Cresci, "A decade of social bot detection", Communications of the ACM, vol.63, no.10, pp.72, 2020.

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