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Social Network Analysis and Mining

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01-12-2023 | Original Article

Deep learning-based credibility conversation detection approaches from social network

Authors: Imen Fadhli, Lobna Hlaoua, Mohamed Nazih Omri

Published in: Social Network Analysis and Mining | Issue 1/2023

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Abstract

The article delves into the evolution of social media and its impact on information dissemination, particularly the challenges posed by fake news and misinformation. It introduces a deep learning-based approach to detect credibility in Twitter conversations, combining textual features and user features using CNN-LSTM models. The proposed model, CreCDA, integrates sentiment analysis to enhance credibility detection. The study is validated using the PHEME dataset and compares the performance with existing methods, demonstrating the effectiveness of the novel approach.

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Title: Deep learning-based credibility conversation detection approaches from social network
Authors: Imen Fadhli
Lobna Hlaoua
Mohamed Nazih Omri
Publication date: 01-12-2023
Publisher: Springer Vienna
Published in: Social Network Analysis and Mining / Issue 1/2023
Print ISSN: 1869-5450
Electronic ISSN: 1869-5469
DOI: https://doi.org/10.1007/s13278-023-01066-z

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Deep learning-based credibility conversation detection approaches from social network

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Other articles of this Issue 1/2023

Exploring the perceived opinion of social media users about the Ukraine–Russia conflict through the naturalistic observation of tweets

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Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

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Springer Professional "Technik"

Exploring the perceived opinion of social media users about the Ukraine–Russia conflict through the naturalistic observation of tweets

Domain-adaptive pre-training on a BERT model for the automatic detection of misogynistic tweets in Spanish

Sentiment analysis and emotion detection of post-COVID educational Tweets: Jordan case

BERT-deep CNN: state of the art for sentiment analysis of COVID-19 tweets

Religious and racial tension breakout: an online pre-crisis detection strategy via sentiment analysis for riot crime prevention

Empirical characterization of graph sampling algorithms