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Discover Trolling Identity In Social Media : Review

Authors: Tayade Pooja Mahendra *, Shaikh Shafi Shadulla;

Discover Trolling Identity In Social Media : Review

Abstract

Online social networks bring valuable information to millions of users-but their accuracy is based on the integrity of their user base. User contributions in the form of posts, comments, and votes are essential to the success of online communities. An Internet troll is a member of an online social community who deliberately tries to disrupt, attack, offend or generally cause trouble within the community by posting certain comments, photos, videos, GIFs or some other form of online content. You can find trolls all over the Internet-on message boards, in YouTube video comments, on Facebook, on twitter, in blog comments and everywhere else that has an open area where people can freely post to express their thoughts and opinions. Troll is quite damaging to one's online reputation. The insult troll is hater, plain and simple. And they don't even really have to have a reason to hate or insult someone. These types of trolls will calling them names, accusing them of certain things, doing anything they can to get a negative emotional response from them -- just because they can. This type of trolling can become so serious that it can lead to or be considered a severe form of cyberbullying.

Keywords

Trolls, Negative Sentiments, SVM.

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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