Attention-based LSTM network for rumor veracity estimation of tweets
Twitter has become a fertile place for rumors, as information can spread to a large number of
people immediately. Rumors can mislead public opinion, weaken social order, decrease the …
people immediately. Rumors can mislead public opinion, weaken social order, decrease the …
A comparative analysis of machine learning techniques for disaster-related tweet classification
Disaster-related tweets on Twitter during emergencies contain various information about
injured or dead people, missing or found people, infrastructure and utility damage that can …
injured or dead people, missing or found people, infrastructure and utility damage that can …
Detecting dravidian offensive posts in MIoT: A hybrid deep learning framework
Hate speech and Offensive Posts (OP) detection on Smart Multimedia Internet of Things
(MIoT) have been an active issue for researchers. MIoT media texts in non-native English …
(MIoT) have been an active issue for researchers. MIoT media texts in non-native English …
A trust based privacy providing model for online social networks
N Voloch, N Gal-Oz, E Gudes - Online Social Networks and Media, 2021 - Elsevier
ABSTRACT Online Social Networks (OSN) have become a central means of communication
and interaction between people around the world. The essence of privacy has been …
and interaction between people around the world. The essence of privacy has been …
[PDF][PDF] NITP-AI-NLP@ HASOC-Dravidian-CodeMix-FIRE2020: A Machine Learning Approach to Identify Offensive Languages from Dravidian Code-Mixed Text.
Hate speech in social media has posed a threat to society. Several models for a single
language, mostly English hate speech is proposed recently. However, In countries where …
language, mostly English hate speech is proposed recently. However, In countries where …
From conventional to state-of-the-art IoT access control models
The advent in Online Social Networks (OSN) and Internet of Things (IoT) has created a new
world of collaboration and communication between people and devices. The domain of …
world of collaboration and communication between people and devices. The domain of …
Deep ensemble approach for COVID-19 fake news detection from social media
A Priya, A Kumar - 2021 8th International Conference on …, 2021 - ieeexplore.ieee.org
Social media networks such as Facebook and Twitter are overwhelmed with COVID-19-
related posts during the outbreak. People have also posted several fake news among the …
related posts during the outbreak. People have also posted several fake news among the …
[PDF][PDF] IIIT_DWD@ HASOC 2020: Identifying offensive content in Indo-European languages.
Human behaviour remains the same whether it is a physical or cyber world. They express
their emotions like happy, sad, angry, frustrated, bullying, and so on at both places. To …
their emotions like happy, sad, angry, frustrated, bullying, and so on at both places. To …
An access control model for data security in online social networks based on role and user credibility
During the past decade Online Social Networks (OSN) privacy has been thoroughly studied
in many aspects. Some of these privacy related aspects are trust and credibility involving the …
in many aspects. Some of these privacy related aspects are trust and credibility involving the …
A deep multi-modal neural network for the identification of hate speech from social media
Hate speech can be particularized as an intentional and chronic act to harm a single person
or a group of individuals. This act can be performed via social networking websites such as …
or a group of individuals. This act can be performed via social networking websites such as …