2018
DOI: 10.1108/intr-03-2017-0118
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The dark side of news community forums: opinion manipulation trolls

Abstract: Purpose The purpose of this paper is to explore the dark side of news community forums: the proliferation of opinion manipulation trolls. In particular, it explores the idea that a user who is called a troll by several people is likely to be one. It further demonstrates the utility of this idea for detecting accused and paid opinion manipulation trolls and their comments as well as for predicting the credibility of comments in news community forums. Design/methodology/approach The authors are aiming to build… Show more

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Cited by 48 publications
(44 citation statements)
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“…Studies debating the trustworthiness of information and veracity analytics of online content have increased recently due to the rise in fake news stories [37]. Social media has become a useful way for individuals to share information and opinions about various topics [3].…”
Section: Malicious Factorsmentioning
confidence: 99%
“…Studies debating the trustworthiness of information and veracity analytics of online content have increased recently due to the rise in fake news stories [37]. Social media has become a useful way for individuals to share information and opinions about various topics [3].…”
Section: Malicious Factorsmentioning
confidence: 99%
“…Yet, in the context of cQA and general QA, there has been work on credibility assessment, which has been modelled primarily at the feature level, with the goal of improving GOOD answer identification. A notable exception are Mihaylov et al, 2018), where credibility was a task on its own right. However, credibility is different from veracity (our focus here) as it is a subjective perception about 2 http://portal.moi.gov.qa/wps/portal/MOIInternet/departmentcommittees/visasentrypermeits/ whether a statement is credible, rather than actually truthful.…”
Section: Related Workmentioning
confidence: 99%
“…The trustworthiness of Web sources has also been studied from a Data Analytics perspective, e.g., Dong et al (2015) proposed that a trustworthy source is one that contains very few false claims. In social media, there has been research targeting the user, e.g., finding malicious users (Mihaylov and Nakov, 2016;Mihaylov et al, 2018), sockpuppets (Maity et al, 2017, Internet water army (Chen et al, 2013), and seminar users (Darwish et al, 2017).…”
Section: Related Workmentioning
confidence: 99%