X PLATFORM DATASET FROM MALAYSIA NEWS CHANNEL (JAN TO OCT 2024)

Citation Author(s):: ANIS JUANITA MOHD ZAINUDIN (UNIVERSITI KEBANGSAAN MALAYSIA)
Submitted by:: ANIS JUANITA MOHD ZAINUDIN
Last updated:: Fri, 05/09/2025 - 02:09
DOI:: 10.21227/fgn0-g759
Data Format:: *.csv

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Categories:

Communications

Keywords:

social media data

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Abstract

Social media has become a significant platform for information dissemination. This study uses X (formerly known as Twitter) to analyze the key characteristics of information that goes viral on social media. A viral tweet is defined as one that receives 1,000 or more retweets. Data were collected from three Malaysian news channels (501Awani, BernamaTV, and fmtoday) between January and October 2024.

Instructions:

Instructions for Use

Load the Dataset: Open the CSV file in your preferred software (e.g., Excel, SPSS, R, or Python).
Explore Themes: Examine how ELM-related themes (central processing route vs. peripheral processing route) appear in tweets.
Analyze Sharing Patterns: Investigate the relationship between persuasive elements and information-sharing behavior.
Qualitative/Thematic Analysis: Use NVivo, Atlas.ti, or manual coding methods to interpret tweet content through a thematic ELM lens.
Ethical Use: Ensure ethical handling of social media data and maintain user privacy.