A black market for upvotes and likes

Héder, Mihály

doi:10.22503/inftars.xix.2019.4.2

Cited by 2 publications

(2 citation statements)

References 1 publication

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“…Social networks are the most popular communication tools to attract potential customers now (Nadanyiova et al 2020;Pop et al 2021). Some social networks use controversial online marketing techniques to grow their market (Héder 2019).…”

Section: Network Effectsmentioning

confidence: 99%

Monetary Incentivization of Crowds by Platforms

Konhäusner¹,

Frias²,

Dabija³

2021

InfTars

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The platform industry is currently on the rise, and with so many platforms, acquiring users and getting them to engage can be challenging. To address this, many platforms are relying on crowdfunding, network effects and incentives, including monetary incentives. But what techniques are platforms using to monetarily incentivize their crowd? Although the study of platform dynamics has been on the rise, including research on crowdsourcing, network effects and incentivization, there is no present research being done on the methods being implemented by platforms to use monetary incentives on their crowd. This paper uses an inductive empirical method based on grounded theory, with data gathered from 15 different platforms that are known to be using a monetary incentivization method, to analyze and categorize the different strategies used by platforms and their marketing objectives. This paper presents useful information to assist managers to make the right decisions regarding monetary incentives and for fostering the potential of their crowd.

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Section: Network Effectsmentioning

confidence: 99%

Monetary Incentivization of Crowds by Platforms

Konhäusner¹,

Frias²,

Dabija³

2021

InfTars

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“…ey imitate human behaviors and influence normal social behaviors on social networks. e zombie follower industry [33] is defined as a new black market formed by merchants engaged in the production and sale of zombie followers. To analyze the characteristics of the zombie follower industry, we investigate various organizations engaged in the trading of zombie followers on the Internet.…”

Section: Introductionmentioning

confidence: 99%

Zombie Follower Recognition Based on Industrial Chain Feature Analysis

Tang

Cheng

et al. 2021

Security and Communication Networks

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Zombie followers, a type of bot, are longstanding entities in Sina Weibo. Although the features and detection of zombie followers have been extensively studied, zombie followers are continuously increasing in social networks and gradually developing into a large-scale industry. In this study, we analyze the features of eight groups of zombie followers from different companies. The findings indicate that although zombie followers controlled by different companies vary greatly, some industries may be controlled by the same organization. Based on the feature analysis, we use multiple machine learning methods to detect zombie followers, and the results show that zombie follower groups with short registration time are more easily detected. The detection accuracy of zombie followers that have been cultivated for a long duration is low. Moreover, the richer the feature sets, the higher the recall, precision, and F1 of their detection results will be. Under a given rich feature set, the accuracy of the combined-group detection is not as high as that of the single-group detection. The random forest achieves the highest accuracy in both single- and combined-group detections, yielding 99.14% accuracy in the latter case.

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A black market for upvotes and likes

Cited by 2 publications

References 1 publication

Monetary Incentivization of Crowds by Platforms

Monetary Incentivization of Crowds by Platforms

Zombie Follower Recognition Based on Industrial Chain Feature Analysis

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