2022Unpublished venueRequires access

WayPop Machine: A Wayback Machine to Investigate Popularity and Root Out Trolls

Tuğrulcan Elmas, Thomas Romain Ibanez, Alexandre Hutter, Rebekah Overdorf, Karl Aberer

Open publisher page 2 citations

Abstract

Contrary to celebrities who owe their popularity online to their activity offline, malicious users such as trolls have to gain fame on social media through the social media itself. The exact reasons that a certain user has become popular are often obscure especially when the popularity was gained illicitly through means such as fake amplification of content. In this paper, we develop a methodology for uncovering why an account has become popular and present an open source tool that encapsulates this methodology. This tool aims to aid others in uncovering malicious accounts which have artificially gained many followers and to distinguish such accounts from those which gained followers and popularity honestly.

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What this paper is about

Contrary to celebrities who owe their popularity online to their activity offline, malicious users such as trolls have to gain fame on social media through the social media itself. The exact reasons that a certain user has become popular are often obscure especially when the popularity was gained illicitly through means such as fake amplification of content. In this paper, we develop a methodology for uncovering why an account has become popular and present an open source tool that encapsulates this methodology. This tool aims to aid others in uncovering malicious accounts which have artificially gained many followers and to distinguish such accounts from those which gained followers and popularity honestly.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Method / approach

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Available abstract

Contrary to celebrities who owe their popularity online to their activity offline, malicious users such as trolls have to gain fame on social media through the social media itself. The exact reasons that a certain user has become popular are often obscure especially when the popularity was gained illicitly through means such as fake amplification of content. In this paper, we develop a methodology for uncovering why an account has become popular and present an open source tool that encapsulates this methodology. This tool aims to aid others in uncovering malicious accounts which have artificially gained many followers and to distinguish such accounts from those which gained followers and popularity honestly.

Key concepts: Popularity, Social media, Internet privacy, Computer science, World Wide Web, Root (linguistics), Computer security, Root cause

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