scholarly journals Studi Persuasi: Analisis Terhadap Kampanye Kementerian Kesehatan “Cegah, Obati, Lawan Diabetes” Melalui YouTube

2020 ◽  
Vol 4 (8) ◽  
Author(s):  
Yunita Permatasari ◽  
Sophia Bernadette ◽  
Indra Kusumawardhana
Keyword(s):  
Diabetes Mellitus ◽  
Public Awareness ◽  
Descriptive Analysis ◽  
Elaboration Likelihood Model ◽  
Elaboration Likelihood ◽  
Main Question ◽  
Analysis Model ◽  
Ministry Of Health ◽  
Depth Analysis ◽  
Likelihood Model

<p align="center"><strong>Abstract</strong></p><p align="center"><strong> </strong></p><p>This article carries out an in-depth analysis of the campaign activity "Prevent, Treat, Fight Diabetes" uploaded by the Ministry of Health on YouTube as a form of government efforts in carrying out a persuasion of the public. Weighing efforts to strengthen public awareness of the prevention of the disease. The main question that will be asked is how can the persuasion efforts of the Ministry of Health through the "Prevent, Treat, Fight Diabetes" Campaign uploaded on YouTube affect the recipients of the message being communicated? To answer this question, this article uses the Elaboration Likelihood Model persuasion analysis model popularized by Richard E Petty and John T Cacioppo. Using qualitative research methods that use descriptive analysis and in-depth interviews, the results of this study are expected to be able to provide a comprehensive picture of the government's efforts to persuade people in certain goals.</p><p> </p><p><strong>Keywords: </strong>Persuasi, Pemerintah, Kampanye, Diabetes Mellitus, YouTube</p><p align="center"><strong> </strong></p><p align="center"><strong> </strong></p><p align="center"><strong> </strong></p><p align="center"><strong> </strong></p><p align="center"><strong> </strong></p><p align="center"><strong> </strong></p><p align="center"><strong> </strong></p><p align="center"><strong> </strong></p><p><strong> </strong></p><p align="center"><strong>Abstrak</strong></p><p align="center"><strong> </strong></p><p>Artikel ini melakukan analisis mendalam terhadap aktifitas kampanye “Cegah, Obati, Lawan Diabetes” yang diunggah oleh Kementerian Kesehatan di YouTube sebagai suatu wujud upaya pemerintah dalam melakukan suatu persuasi terhadap masyarakat. Menimbang upaya untuk menguatkan kesadaran masyarakat terhadap pencegahan penyakit tersebut. Pertanyaan utama yang akan diajukan adalah bagaimana upaya persuasi Kementerian Kesehatan melalui Kampanye “Cegah, Obati, Lawan Diabetes”yang diunggah di YouTube dapat memengaruhi penerima pesan yang dikomunikasikan? Untuk menjawab pertanyaan tersebut, artikel ini menggunakan model analisis persuasi <em>Elaboration Likelihood Model</em> yang dipopulerkan oleh Richard E Petty dan John T Cacioppo. Menggunakan metode penelitian kualitatif yang menggunakan analisis deskriptif dan <em>in depth interview</em>, Hasil dari penelitian ini diharapkan mampu memberikan gambaran komprehensif dari upaya pemerintah dalam melakukan persuasi terhadap masyrakat dalam tujuan-tujuan tertentu.</p><p><strong>Keywords:</strong> Persuasi, Pemerintah, Kampanye, Diabetes Mellitus, YouTube</p>

scholarly journals Mendulang Suara di Masa Pandemi dengan Komunikasi Persuasif (Studi Kasus Pemilihan Umum Kepala Daerah Samarinda Untuk Pasangan Calon dengan Tag Line Siap Dipilih Berani Ditagih)

2021 ◽  
Vol 4 (2) ◽  
pp. 89
Author(s):  
Afita Nur Hayati
Keyword(s):  
Descriptive Analysis ◽  
Elaboration Likelihood Model ◽  
The Political ◽  
Elaboration Likelihood ◽  
Main Question ◽  
Length Of Service ◽  
Political Machine ◽  
Likelihood Model ◽  
Qualitative Descriptive

Direct election’s celebration of the head of the region at each steps in 2020 has been held at pandemic situation of covid-19.  The decision of KPUD Samarinda has final and the candidate number 2 has been sworn with length of service 2021-2024 periods.  The main question that will be asked is how is the candidate number 3 communicates the message they have to be interesting and positively so vote acquisition of the candidat number 3 can align with the candidat number 2 of vote’s acquisition whereas the political machine not so mature than the winner’s political machine. To answer this question, this article uses Analysis of Elaboration Likelihood Model (ELM) and using qualitative descriptive analysis with case study for detail and depth investigation of the candidate number 3 with tag line “Siap Dipilih Berani Ditagih.”  

scholarly journals APPLYING THE ELABORATION LIKELIHOOD MODEL TO ANALYZE THE EFFECTS OF DEPRESSION PUBLIC SERVICE ANNOUNCEMENTS AMONG MALAYSIAN COLLEGE STUDENTS

2021 ◽  
Vol 4 (17) ◽  
pp. 54-73
Author(s):  
Fan Jin Yu ◽  
Norliana Hashim
Keyword(s):  
College Students ◽  
Public Service ◽  
Public Awareness ◽  
Elaboration Likelihood Model ◽  
Dual Process ◽  
Cluster Sampling ◽  
Elaboration Likelihood ◽  
Public Service Announcement ◽  
High Quality ◽  
Likelihood Model

As depression became an increasing contributor to the global disease burden, there is a demand for the public to understand depression disorder and reduce stigmatized attitudes about it. Especially, the prevalence of depression among college students is extremely higher than the general population; thus, it is essential to study among college students. Specifically, the utilizing of the health Public Service Announcement (PSA) is aiming to raise public awareness about health issues. Thus, this study emphasized on Depression Public Service Announcement and its effectiveness. By utilizing the Elaboration Likelihood Model (ELM), this study examined the consequences of the dual-process method towards stigmatized attitude changes about depression among students at a Malaysian public university. Cluster sampling technique was used to select respondents and a total of 185 respondents participated in two groups of experiments. Respondents in each group were exposed to two different D-PSAs with either high-quality depression messages or low-quality depression messages. Attributional Questionnaire (AQ) was adapted to measure respondents’ attitudes toward depression, and a set of questionnaires based on Reynolds’s study was applied to evaluate the information processing approach used. Lastly, the results demonstrated that D-PSA with a high-quality message elicits higher elaboration of respondents and less stigmatized attitudes. Conversely, D-PSA with low-quality messages elicits lower elaboration and more stigmatized attitudes about depression.

Understanding online health community users' information adoption intention: an elaboration likelihood model perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tao Zhou
Keyword(s):  
User Behavior ◽  
Source Credibility ◽  
Elaboration Likelihood Model ◽  
Elaboration Likelihood ◽  
Content Type ◽  
Peripheral Cues ◽  
Likelihood Model ◽  
Adoption Intention ◽  
Information Adoption ◽  
Central Cues

PurposeThe purpose of this research is to draw on the elaboration likelihood model (ELM) to examine users' information adoption intention in online health communities (OHC).Design/methodology/approachThe authors collected 350 valid responses using a survey and conducted the moderated regression analysis to examine the research model.FindingsThe results indicated that users' information adoption intention is influenced by both central cues (argument quality) and peripheral cues (source credibility and emotional support). In addition, self-efficacy moderates the effect of both central cues and peripheral cues on information adoption intention.Originality/valuePrevious research has focused on the effect of individual motivations such as reciprocity and benefits on user behavior, and has seldom disclosed the influencing process of external factors on OHC users' behavioral decision. This research tries to fill the gap by adopting ELM to uncover the mechanism underlying OHC users' information adoption.

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