research-article

Poultry markets: on the underground economy of twitter followers

Authors:

Gianluca Stringhini,

Christopher Kruegel,

Giovanni VignaAuthors Info & Claims

ACM SIGCOMM Computer Communication Review, Volume 42, Issue 4

Pages 527 - 532

https://doi.org/10.1145/2377677.2377781

Published: 24 September 2012 Publication History

Abstract

Since Twitter has emerged as one of the easiest ways of reaching people, companies started using it to advertise their products. However, creating a functional network of followers to whom to promote content is not a straightforward task. On the one side, collecting followers requires time. On the other side, companies need to establish a reputation to motivate users to follow them.

A number of websites have emerged to help Twitter users create a large network of followers. These websites promise their subscribers to provide followers in exchange for a fee or limited services free of charge but in exchange for the user's Twitter account credentials. In addition, they offer to spread their clients' promotional messages in the network. In this paper, we study the phenomenon of these Twitter Account Markets, and we show how their services are often linked to abusive behavior and compromised Twitter profiles.

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Cited By

Skorupka A(2024)Detecting anomalies in graph networks on digital marketsPLOS ONE10.1371/journal.pone.031584919:12(e0315849)Online publication date: 23-Dec-2024
https://doi.org/10.1371/journal.pone.0315849
Saeed MAli SPaudel PBlackburn JStringhini G(2024)Unraveling the Web of Disinformation: Exploring the Larger Context of State-Sponsored Influence Campaigns on TwitterProceedings of the 27th International Symposium on Research in Attacks, Intrusions and Defenses10.1145/3678890.3678911(353-367)Online publication date: 30-Sep-2024
https://dl.acm.org/doi/10.1145/3678890.3678911
Concone FGaglio SGiammanco ARe GMorana M(2024)AdverSPAM: Adversarial SPam Account Manipulation in Online Social NetworksACM Transactions on Privacy and Security10.1145/364356327:2(1-31)Online publication date: 26-Jan-2024
https://dl.acm.org/doi/10.1145/3643563
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Index Terms

Poultry markets: on the underground economy of twitter followers
1. Hardware
  1. Communication hardware, interfaces and storage
2. Networks

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Published In

cover image ACM SIGCOMM Computer Communication Review

ACM SIGCOMM Computer Communication Review Volume 42, Issue 4

Special october issue SIGCOMM '12

October 2012

538 pages

ISSN:0146-4833

DOI:10.1145/2377677

Issue’s Table of Contents

Copyright © 2012 Authors.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 September 2012

Published in SIGCOMM-CCR Volume 42, Issue 4

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Cited By

Skorupka A(2024)Detecting anomalies in graph networks on digital marketsPLOS ONE10.1371/journal.pone.031584919:12(e0315849)Online publication date: 23-Dec-2024
https://doi.org/10.1371/journal.pone.0315849
Saeed MAli SPaudel PBlackburn JStringhini G(2024)Unraveling the Web of Disinformation: Exploring the Larger Context of State-Sponsored Influence Campaigns on TwitterProceedings of the 27th International Symposium on Research in Attacks, Intrusions and Defenses10.1145/3678890.3678911(353-367)Online publication date: 30-Sep-2024
https://dl.acm.org/doi/10.1145/3678890.3678911
Concone FGaglio SGiammanco ARe GMorana M(2024)AdverSPAM: Adversarial SPam Account Manipulation in Online Social NetworksACM Transactions on Privacy and Security10.1145/364356327:2(1-31)Online publication date: 26-Jan-2024
https://dl.acm.org/doi/10.1145/3643563
Dutta HChakraborty T(2022)Blackmarket-Driven Collusion on Online Media: A SurveyACM/IMS Transactions on Data Science10.1145/35179312:4(1-37)Online publication date: 17-May-2022
https://dl.acm.org/doi/10.1145/3517931
Dutta HAggarwal KChakraborty TConlan OHerder E(2021)DECIFE: Detecting Collusive Users Involved in Blackmarket Following Services on TwitterProceedings of the 32nd ACM Conference on Hypertext and Social Media10.1145/3465336.3475108(91-100)Online publication date: 30-Aug-2021
https://dl.acm.org/doi/10.1145/3465336.3475108
Sudarsan SSchelen OBodin U(2021)Survey on Delegated and Self-Contained Authorization Techniques in CPS and IoTIEEE Access10.1109/ACCESS.2021.30933279(98169-98184)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3093327
Lingam GRout RSomayajulu DDas SSun HShieh SGu GAteniese G(2020)Social Botnet Community Detection: A Novel Approach based on Behavioral Similarity in Twitter Network using Deep LearningProceedings of the 15th ACM Asia Conference on Computer and Communications Security10.1145/3320269.3384770(708-718)Online publication date: 5-Oct-2020
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Latah M(2020)Detection of Malicious Social Bots: A Survey and a Refined TaxonomyExpert Systems with Applications10.1016/j.eswa.2020.113383(113383)Online publication date: Mar-2020
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Jang BJeong SKim C(2019)Distance-based customer detection in fake follower marketsInformation Systems10.1016/j.is.2018.12.00181(104-116)Online publication date: Mar-2019
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El-Mawass NHoneine PVercouter L(2018)Supervised Classification of Social Spammers using a Similarity-based Markov Random Field ApproachProceedings of the 5th Multidisciplinary International Social Networks Conference10.1145/3227696.3227712(1-8)Online publication date: 16-Jul-2018
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