Web scraping versus twitter API: a comparison for a credibility analysis

I Dongo, Y Cadinale, A Aguilera, F Martínez… - Proceedings of the …, 2020 - dl.acm.org
Twitter is one of the most popular information source available on the Web. Thus, there exist
many studies focused on analyzing the credibility of the shared information. Most proposals …

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 …

T-creo: a twitter credibility analysis framework

Y Cardinale, I Dongo, G Robayo, D Cabeza… - IEEE …, 2021 - ieeexplore.ieee.org
Social media and other platforms on Internet are commonly used to communicate and
generate information. In many cases, this information is not validated, which makes it difficult …

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 …

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 …

Decoding the Sociotechnical Dimensions of Digital Misinformation: A Comprehensive Literature Review

AA Puska, LA Baroni, R Pereira - arXiv preprint arXiv:2406.11853, 2024 - arxiv.org
This paper presents a systematic literature review in Computer Science that provide an
overview of the initiatives related to digital misinformation. This is an exploratory study that …

The Impact of the Weighted Features on the Accuracy of X-Platform's User Credibility Detection Using Supervised Machine Learning

NR Abid-Althaqafi, HA Alsalamah, WN Ismail - IEEE Access, 2024 - ieeexplore.ieee.org
Social media represent a vital actor in our lives, often serving as a primary source of
information, surpassing traditional sources. Among these platforms, the X-Platform, which …

Enhancing data quality to mine credible patterns

M Imran, A Ahmad - Journal of Information Science, 2023 - journals.sagepub.com
The importance of big data is widely accepted in various fields. Organisations spend a lot of
money to collect, process and mine the data to identify patterns. These patterns facilitate …

The Effect of Feature Selection on the Accuracy of X-Platform User Credibility Detection with Supervised Machine Learning

NR Abid-Althaqafi, HA Alsalamah - Electronics, 2024 - mdpi.com
In the era of digital information, online platforms play a crucial role in shaping public opinion.
However, the extensive spread of misinformation and fake news poses a significant …

[PDF][PDF] Detecting User Credibility on Twitter using a Hybrid Machine Learning Model of Features' Selection and Weighting.

NR Abid-Althaqafi, HA Alsalamah - International Journal of …, 2024 - researchgate.net
With the pervasive and rapidly growing presence of the internet and social media, creating
untrustworthy accounts has become effortless, allowing fake news to be spread for personal …