A survey on the use of association rules mining techniques in textual social media

JA Diaz-Garcia, MD Ruiz, MJ Martin-Bautista - Artificial Intelligence …, 2023 - Springer
The incursion of social media in our lives has been much accentuated in the last decade.
This has led to a multiplication of data mining tools aimed at obtaining knowledge from these …

A qualitative and quantitative comparison between Web scraping and API methods for Twitter credibility analysis

I Dongo, Y Cardinale, A Aguilera, F Martinez… - International Journal of …, 2021 - emerald.com
Purpose This paper aims to perform an exhaustive revision of relevant and recent related
studies, which reveals that both extraction methods are currently used to analyze credibility …

CrediBot: Applying Bot Detection for Credibility Analysis on Twitter

A Aguilera, P Quinteros, I Dongo, Y Cardinale - IEEE Access, 2023 - ieeexplore.ieee.org
Nowadays, people and organizations use social networks for allowing and facilitating the
transfer of information among groups that share similar interests. Due to the wide repertoire …

It is an online platform and not the real world, I don't care much: Investigating Twitter Profile Credibility With an Online Machine Learning-Based Tool

J Li, V Paananen, SA Suryanarayana… - Proceedings of the …, 2023 - dl.acm.org
Social media is now an important source of everyday information. Given the plethora of
scandals concerning the rapid spread of misinformation and disinformation on social media …

Credibility analysis on Twitter considering topic detection

M Hernandez-Mendoza, A Aguilera, I Dongo… - Applied Sciences, 2022 - mdpi.com
Twitter is one of the most popular sources of information available on the internet. Thus,
many studies have proposed tools and models to analyze the credibility of the information …

[PDF][PDF] Modeling Credibility in Social Big Data using LSTM Neural Networks.

A Lyras, S Vernikou, A Kanavos, S Sioutas, P Mylonas - WEBIST, 2021 - scitepress.org
Communication accounts for a vital need among people in order to express and exchange
ideas, emotions, messages, etc. Social media fulfill this necessity as users can make use of …

Towards handling bias in intelligence analysis with twitter

A Karakikes, P Alexiadis… - 2023 IEEE 10th …, 2023 - ieeexplore.ieee.org
Bias identification and mitigation in the Twitter ecosystem has been lately researched
towards achieving a more efficient utilization of the application by different stakeholders and …

S3UCA: Soft‐Margin Support Vector Machine‐Based Social Network User Credibility Assessment Method

K Zhao, L Xing, H Wu - Mobile Information Systems, 2021 - Wiley Online Library
Among the algorithms used to assess user credibility in social networks, most of them
quantify user information and then calculate the user credibility measure by linear …

Bias in X (Twitter) and Telegram Based Intelligence Analysis: Exploring Challenges and Potential Mitigating Roles of AI

A Karakikes, P Alexiadis, K Kotis - SN Computer Science, 2024 - Springer
Bias identification and mitigation in the social media ecosystem has been lately researched
towards achieving a more efficient utilization of social media platforms for different …

Credibility Analysis for Social Media Content Using Sentence Transformer Based Machine Learning

S Roka, DB Rawat - Science and Information Conference, 2023 - Springer
Lately, people have been impacted by the increased use of social media platforms like
Twitter in disseminating the various news and information. However, a lot of this content has …