scholarly journals ANALISIS ELABORATION LIKELIHOOD MODEL DALAM PEMBENTUKAN PERSONAL BRANDING DI TWITTER

2017 ◽  
Vol 3 (3) ◽  
pp. 588
Author(s):  
Tuti Widiastuti Widiastuti
Keyword(s):  
Elaboration Likelihood Model ◽  
Elaboration Likelihood ◽  
Content Analysis Method ◽  
Likelihood Model ◽  
Twitter Account ◽  
Study Population ◽  
The Media ◽  
Personal Branding ◽  
Real Action ◽  
Made In

This study sought to look at the fact that twitter can shape one’s personal branding, then on the basis of this research is compiled on how the analysis elaboration likelihood model in the formation of personal branding in social media. The method used in this research is quantitative content analysis method. The study population was the whole text or tweets made by Ridwan Kamil through his twitter account (@ridwankamil). This study shows, twitter contents can shape one’s personal branding. Establishment of personal branding can be done through posts made in his twitter. The formation of personal branding is seen from the theme of writing, retweet and favorite number, type of writing, the uniqueness of writing and writing direction. Establishment of personal branding is required by a person not only through the writings conveyed through the media, but also the need for real action participation and involvement in community life.

scholarly journals Analisis Pesan Persuasif Kelompok Cyberprotest di Twitter

2020 ◽  
Vol 4 (1) ◽  
pp. 182
Author(s):  
Vinisa Nurul Aisyah
Keyword(s):  
Elaboration Likelihood Model ◽  
Persuasive Communication ◽  
Elaboration Likelihood ◽  
Analysis Method ◽  
Persuasive Messages ◽  
Content Analysis Method ◽  
Communication Space ◽  
Likelihood Model ◽  
Type Interaction ◽  
Argument Type

This study analysed persuasive messages by cyberprotest group on Twitter, especially in the case of Jaringan Masyarakat Peduli Pegunungan Kendeng (JMPPK) Rembang. Persuasive messages on Twitter were identified based on argument type, interaction type, and messages format. This study used elaboration likelihood model and quantitative content analysis method. The result of the study indicated that Twitter could be used as a persuasive communication space for protest groups. Central and peripheral route were facilitated by the features provided by Twitter.

scholarly journals The Agenda Setting Process and its Potential Attitudinal Effects

2021 ◽  
Vol 4 (4) ◽  
pp. p1
Author(s):  
Gennadiy Chernov
Keyword(s):  
Attitude Change ◽  
Indirect Effect ◽  
Agenda Setting ◽  
Elaboration Likelihood Model ◽  
Elaboration Likelihood ◽  
Strong Impact ◽  
Setting Process ◽  
Likelihood Model ◽  
The Media ◽  
Attitudinal Effects

Agenda setting is a well-documented process in the media effects tradition. It has a strong impact on what issues are perceived as important by the audience. However, there are indications that agenda setting may have an indirect effect on the attitudes. The current study tested the Elaboration Likelihood Model (The ELM) as a possible mechanism of attitude change that may be present in the agenda setting process. The experimental results did not confirm the overall impact of the ELM on attitudes, but it demonstrated separate attitudinal effects of ability operationalized as knowledge. Further, it was also argued that the agenda setting process may have an indirect effect on attitudes through the peripheral route of the ELM.

The elaboration likelihood model, job ads, and application decisions

2004 ◽  
Author(s):  
Jonas William Shultz ◽  
David A. Jones ◽  
Derek S. Chapman
Keyword(s):  
Elaboration Likelihood Model ◽  
Elaboration Likelihood ◽  
Likelihood Model ◽  
Job Ads

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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