Detection of Offensive Language in Social Networks Using LSTM and BERT Model

2021 ◽  
Author(s):  
Ashwini Kumar ◽  
Vishu Tyagi ◽  
Sanjoy Das
Keyword(s):  
Social Networks ◽  
Offensive Language

scholarly journals Prejudice and Presupposition in Offensive Language

2017 ◽  
Vol 12 (3) ◽  
Author(s):  
Carlo Penco
Keyword(s):  
Social Networks ◽  
Philosophy Of Language ◽  
Contemporary Literature ◽  
Point Of View ◽  
Contemporary Philosophy ◽  
Short Introduction ◽  
Political Philosopher ◽  
Offensive Language

In this paper I give a short introduction to the standard way to treat offensive language in contemporary philosophy of language, without giving details on the very rich contemporary literature on the problem. My aim here is to connect what is called a “presuppositional point of view” on pejoratives to the topic of prejudice. At the same time, I want to develop some hints given by Flavio Baroncelli, a political philosopher and colleague who offered some provocative suggestions on the educative role of politically correct language. I will show that some of his ideas are still workable, and at the same time I eventually will try to show what is really new in the diffusion of prejudice through social networks and which kinds of reactions can be foreseen.

Multilayer Social Networks

2016 ◽  
Author(s):  
Mark E. Dickison ◽  
Matteo Magnani ◽  
Luca Rossi
Keyword(s):  
Social Networks ◽  
Multilayer Social Networks

Hostility and Perceptions of Support in Ambiguous Social Interactions

2006 ◽  
Vol 27 (2) ◽  
pp. 108-115 ◽  
Author(s):  
Ana-Maria Vranceanu ◽  
Linda C. Gallo ◽  
Laura M. Bogart
Keyword(s):  
Social Support ◽  
Social Networks ◽  
Information Processing ◽  
Social Interactions ◽  
Social Information Processing ◽  
Perceived Social Support ◽  
Social Information ◽  
Inverse Association ◽  
Processing Bias ◽  
Information Processing Bias

The present study investigated whether a social information processing bias contributes to the inverse association between trait hostility and perceived social support. A sample of 104 undergraduates (50 men) completed a measure of hostility and rated videotaped interactions in which a speaker disclosed a problem while a listener reacted ambiguously. Results showed that hostile persons rated listeners as less friendly and socially supportive across six conversations, although the nature of the hostility effect varied by sex, target rated, and manner in which support was assessed. Hostility and target interactively impacted ratings of support and affiliation only for men. At least in part, a social information processing bias could contribute to hostile persons' perceptions of their social networks.

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