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Combating online hostile posts in re...

(1998 :)

Combating online hostile posts in regional languages during emergency situationfirst International Workshop, CONSTRAINT 2021, collocated with AAAI 2021, virtual event, February 8, 2021 : revised selected papers /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Combating online hostile posts in regional languages during emergency situationedited by Tanmoy Chakraborty ... [et al.].
Reminder of title:	first International Workshop, CONSTRAINT 2021, collocated with AAAI 2021, virtual event, February 8, 2021 : revised selected papers /
remainder title:	CONSTRAINT 2021
other author:	Chakraborty, Tanmoy.
corporate name:
Published:	Cham :Springer International Publishing :2021.
Description:	xi, 258 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Fake newsCongresses.Data processing
Online resource:	https://doi.org/10.1007/978-3-030-73696-5
ISBN:	9783030736965$q(electronic bk.)

Combating online hostile posts in regional languages during emergency situationfirst International Workshop, CONSTRAINT 2021, collocated with AAAI 2021, virtual event, February 8, 2021 : revised selected papers /
Combating online hostile posts in regional languages during emergency situationfirst International Workshop, CONSTRAINT 2021, collocated with AAAI 2021, virtual event, February 8, 2021 : revised selected papers /[electronic resource] :CONSTRAINT 2021edited by Tanmoy Chakraborty ... [et al.]. - Cham :Springer International Publishing :2021. - xi, 258 p. :ill., digital ;24 cm. - Communications in computer and information science,14021865-0929 ;. - Communications in computer and information science ;229..

Identifying Offensive Content in Social Media Posts -- Identification and Classification of Textual Aggression in Social Media: Resource Creation and Evaluation -- Fighting an Infodemic: COVID-19 Fake News Dataset -- Revealing the Blackmarket Retweet Game: A Hybrid Approach -- Overview of CONSTRAINT 2021 Shared Tasks: Detecting English COVID-19 Fake News and Hindi Hostile Posts -- LaDiff ULMFiT: A Layer Differentiated training approach for ULMFiT -- Extracting latent information from datasets in The CONSTRAINT-2020 shared task on the hostile post detection -- Fake news and hostile posts detection using an ensemble learning model -- Transformer-based Language Model Fine-tuning Methods for COVID-19 Fake News Detection -- Tackling the infodemic : Analysis using Transformer based models -- Exploring Text-transformers in AAAI 2021 Shared Task: COVID-19 Fake News Detection in English -- g2tmn at Constraint@AAAI2021: Exploiting CT-BERT and Ensembling Learning for COVID-19 Fake News Detection -- Model Generalization on COVID-19 Fake News Detection -- ECOL: Early Detection of COVID Lies Using Content, Prior Knowledge and Source Information -- Evaluating Deep Learning Approaches for Covid19 Fake News Detection -- A Heuristic-driven Ensemble Framework for COVID-19 Fake News Detection -- Identification of COVID-19 related Fake News via Neural Stacking -- Fake News Detection System using XLNet model with Topic Distributions: CONSTRAINT@AAAI2021 Shared Task -- Coarse and Fine-Grained Hostility Detection in Hindi Posts using Fine Tuned Multilingual Embeddings -- Hostility Detection in Hindi leveraging Pre-Trained Language Models -- Stacked embeddings and multiple fine-tuned XLM-RoBERTa models for Enhanced hostility identification -- Task Adaptive Pretraining of Transformers for Hostility Detection -- Divide and Conquer: An Ensemble Approach for Hostile Post Detection in Hindi.

This book constitutes selected and revised papers from the First International Workshop on Combating On line Ho st ile Posts in Regional Languages dur ing Emerge ncy Si tuation, CONSTRAINT 2021, Collocated with AAAI 2021, held as virtual event, in February 2021. The 14 full papers and 9 short papers presented were thoroughly reviewed and selected from 62 qualified submissions. The papers present interdisciplinary approaches on multilingual social media analytics and non-conventional ways of combating online hostile posts.

ISBN: 9783030736965$q(electronic bk.)

Standard No.: 10.1007/978-3-030-73696-5doiSubjects--Topical Terms:

890934
Fake news
--Data processing--Congresses.

LC Class. No.: PN4784.F27 / I57 2021

Dewey Class. No.: 006.754

Combating online hostile posts in regional languages during emergency situationfirst International Workshop, CONSTRAINT 2021, collocated with AAAI 2021, virtual event, February 8, 2021 : revised selected papers /
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505 0 $a Identifying Offensive Content in Social Media Posts -- Identification and Classification of Textual Aggression in Social Media: Resource Creation and Evaluation -- Fighting an Infodemic: COVID-19 Fake News Dataset -- Revealing the Blackmarket Retweet Game: A Hybrid Approach -- Overview of CONSTRAINT 2021 Shared Tasks: Detecting English COVID-19 Fake News and Hindi Hostile Posts -- LaDiff ULMFiT: A Layer Differentiated training approach for ULMFiT -- Extracting latent information from datasets in The CONSTRAINT-2020 shared task on the hostile post detection -- Fake news and hostile posts detection using an ensemble learning model -- Transformer-based Language Model Fine-tuning Methods for COVID-19 Fake News Detection -- Tackling the infodemic : Analysis using Transformer based models -- Exploring Text-transformers in AAAI 2021 Shared Task: COVID-19 Fake News Detection in English -- g2tmn at Constraint@AAAI2021: Exploiting CT-BERT and Ensembling Learning for COVID-19 Fake News Detection -- Model Generalization on COVID-19 Fake News Detection -- ECOL: Early Detection of COVID Lies Using Content, Prior Knowledge and Source Information -- Evaluating Deep Learning Approaches for Covid19 Fake News Detection -- A Heuristic-driven Ensemble Framework for COVID-19 Fake News Detection -- Identification of COVID-19 related Fake News via Neural Stacking -- Fake News Detection System using XLNet model with Topic Distributions: CONSTRAINT@AAAI2021 Shared Task -- Coarse and Fine-Grained Hostility Detection in Hindi Posts using Fine Tuned Multilingual Embeddings -- Hostility Detection in Hindi leveraging Pre-Trained Language Models -- Stacked embeddings and multiple fine-tuned XLM-RoBERTa models for Enhanced hostility identification -- Task Adaptive Pretraining of Transformers for Hostility Detection -- Divide and Conquer: An Ensemble Approach for Hostile Post Detection in Hindi.
520 $a This book constitutes selected and revised papers from the First International Workshop on Combating On line Ho st ile Posts in Regional Languages dur ing Emerge ncy Si tuation, CONSTRAINT 2021, Collocated with AAAI 2021, held as virtual event, in February 2021. The 14 full papers and 9 short papers presented were thoroughly reviewed and selected from 62 qualified submissions. The papers present interdisciplinary approaches on multilingual social media analytics and non-conventional ways of combating online hostile posts.
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650 0 $a Online social networks $x Data processing $v Congresses. $3 890935
650 0 $a Hostility (Psychology) $3 462028
650 0 $a COVID-19 Pandemic, 2020- $3 890299
650 1 4 $a Information Systems and Communication Service. $3 274025
650 2 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Computer Applications. $3 273760
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