IEEE Access - 2025 : Information Characteristics and Social Media Information Sharing: Insights From Elaboration Likelihood Model (ELM) for Misinformation Mitigation

ZAINUDIN, JUANITA and MOHAMAD ALI, NAZLENA and SMEATON, ALAN F. (2025) IEEE Access - 2025 : Information Characteristics and Social Media Information Sharing: Insights From Elaboration Likelihood Model (ELM) for Misinformation Mitigation. IEEE Access, 13. pp. 179233-179258. ISSN 2169-3536

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Abstract

Kajian ini menggunakan Elaboration Likelihood Model (ELM) untuk mengenal pasti ciri-ciri maklumat yang mempengaruhi tingkah laku perkongsian maklumat di media sosial. Melalui Reflexive Thematic Analysis (RTA) terhadap 92 ciapan (tweets) viral daripada tiga saluran berita Malaysia, lima tema utama dikenal pasti iaitu Social Interest, Political Interest, Visual Appeal, Credible Sources dan Emotional Appeal. Dapatan menunjukkan bahawa Social Interest dan Political Interest berkaitan dengan central route processing, manakala Visual Appeal, Credible Sources dan Emotional Appeal berkaitan dengan peripheral route processing. Kajian turut mencadangkan strategi kepada pembuat dasar, platform media sosial, pendidik dan pengguna bagi mengurangkan penyebaran maklumat palsu melalui peningkatan literasi media, penanda kredibiliti dan pendekatan "pause-and-verify".

Item Type:	Article
Uncontrolled Keywords:	Information characteristics; Information sharing; Misinformation; Intervention strategy; Social media; Elaboration likelihood model (ELM).
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Institute of Graduate Studies (IGS)
Depositing User:	LIBRARY2 UPTM
Date Deposited:	30 Jul 2026 08:20
Last Modified:	30 Jul 2026 08:20
URI:	http://eprints.uptm.edu.my/id/eprint/5931

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