Predicting the level of social media use among journalists: machine learning analysis

Predicting the level of social media use among journalists: machine learning analysis

Within the long-drawn of COVID-19, the impact of social media is important for the public and journalists to re-engage with each other due to the relentless churning out of information. This paper investigates Arab journalists' use of social media during COVID-19 through Machine Learning (ML) m...

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Bibliographic Details
Main Authors: Mokhtar Elareshi, Ahmad Al Shami, Abdulkrim Ziani, Shubhda Chaudhary, Noora Youssef
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-03-01
Series:Frontiers in Communication
Subjects:
Arab journalists
Ensemble Bagged Tree
decision tree
online journalism
social media
Weighted KNN
Online Access:https://www.frontiersin.org/articles/10.3389/fcomm.2024.1369961/full

Internet

https://www.frontiersin.org/articles/10.3389/fcomm.2024.1369961/full

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