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A multimodal approach to predict social media popularity
Multiple modalities represent different aspects by which information is conveyed by a data
source. Modern day social media platforms are one of the primary sources of multimodal …
source. Modern day social media platforms are one of the primary sources of multimodal …
Detecting offensive tweets in hindi-english code-switched language
The exponential rise of social media websites like Twitter, Facebook and Reddit in
linguistically diverse geographical regions has led to hybridization of popular native …
linguistically diverse geographical regions has led to hybridization of popular native …
[HTML][HTML] Sharing unwanted sexual experiences online: A cross-platform analysis of disclosures before, during and after the# MeToo movement
Online disclosure of sexual violence victimisation is a relatively new phenomenon. While
prior research has mainly relied on analysis of Twitter data from the# MeToo period, this …
prior research has mainly relied on analysis of Twitter data from the# MeToo period, this …
# suicidal-A multipronged approach to identify and explore suicidal ideation in twitter
Technological advancements have led to the creation of social media platforms like Twitter,
where people have started voicing their views over rarely discussed and socially …
where people have started voicing their views over rarely discussed and socially …
Speak up, fight back! detection of social media disclosures of sexual harassment
The# MeToo movement is an ongoing prevalent phenomenon on social media aiming to
demonstrate the frequency and widespread of sexual harassment by providing a platform to …
demonstrate the frequency and widespread of sexual harassment by providing a platform to …
Detecting personal intake of medicine from twitter
Mining social media messages such as tweets, blogs, and Facebook posts for health and
drug related information has received significant interest in pharmacovigilance research …
drug related information has received significant interest in pharmacovigilance research …
ARHNet-leveraging community interaction for detection of religious hate speech in Arabic
The rapid widespread of social media has lead to some undesirable consequences like the
rapid increase of hateful content and offensive language. Religious Hate Speech, in …
rapid increase of hateful content and offensive language. Religious Hate Speech, in …
MIDAS at SemEval-2019 task 6: Identifying offensive posts and targeted offense from twitter
In this paper we present our approach and the system description for Sub Task A and Sub
Task B of SemEval 2019 Task 6: Identifying and Categorizing Offensive Language in Social …
Task B of SemEval 2019 Task 6: Identifying and Categorizing Offensive Language in Social …
The signals and noise: actionable information in improvised social media channels during a disaster
Web-based social and communication technologies enable citizens to self-organize relief
efforts in response to crises. This work focuses on a question fundamental to the concept of …
efforts in response to crises. This work focuses on a question fundamental to the concept of …
Identifying informative tweets during a pandemic via a topic-aware neural language model
Every epidemic affects the real lives of many people around the world and leads to terrible
consequences. Recently, many tweets about the COVID-19 pandemic have been shared …
consequences. Recently, many tweets about the COVID-19 pandemic have been shared …