scholarly journals Najwa Shihab’s Attitudes in Narasi TV Forming Resistant Discourse to House of Representatives’ Members

2021 ◽  
Vol 9 (3) ◽  
pp. 511
Author(s):  
Desy Ratnasari ◽  
Rustono Farady Marta ◽  
Hana Panggabean
Keyword(s):  
Critical Discourse Analysis ◽  
Social Relations ◽  
House Of Representatives ◽  
Central Government ◽  
Elaboration Likelihood Model ◽  
Elaboration Likelihood ◽  
Likelihood Model ◽  
The Republic ◽  
And Performance ◽  
Interpretative Approach

Each Policy and Performance made by the central government and the Republic of Indonesian House of Representatives will surely attract people’s attention and responses as one responded by Najwa Shihab through a video addressed to the honorable Mister and Mistress House of Representatives members in Narasi TV. This research employed a descriptive-interpretative approach using the theory of Elaboration Likelihood Model and Critical Discourse Analysis method implemented in three analytical phases to study Najwa Shihab’s argumentations and attitudes. The results showed that Najwa Shihab expressed her insights on social relations and identities which were unequal between her and House of Representatives members. The discourse builds her supremacies, thoughts, and ideas to legitimate herself as a people’s representative, directing people’s opinions through argumentations, self-values, and attitudes that tended to be resistant to the House of Representatives members.

scholarly journals Why Do Citizens Share COVID-19 Fact-Checks Posted by Chinese Government Social Media Accounts? The Elaboration Likelihood Model

2021 ◽  
Vol 18 (19) ◽  
pp. 10058
Author(s):  
Qiang Chen ◽  
Yangyi Zhang ◽  
Richard Evans ◽  
Chen Min
Keyword(s):  
Social Media ◽  
Central Government ◽  
Source Credibility ◽  
Elaboration Likelihood Model ◽  
Chinese Government ◽  
Elaboration Likelihood ◽  
Media Richness ◽  
Peripheral Cues ◽  
Likelihood Model ◽  
Central Cues

Widespread misinformation about COVID-19 poses a significant threat to citizens long-term health and the combating of the disease. To fight the spread of misinformation, Chinese governments have used official social media accounts to participate in fact-checking activities. This study aims to investigate why citizens share fact-checks about COVID-19 and how to promote this activity. Based on the elaboration likelihood model, we explore the effects of peripheral cues (social media capital, social media strategy, media richness, and source credibility) and central cues (content theme and content importance) on the number of shares of fact-checks posted by official Chinese Government social media accounts. In total, 820 COVID-19 fact-checks from 413 Chinese Government Sina Weibo accounts were obtained and evaluated. Results show that both peripheral and central cues play important roles in the sharing of fact-checks. For peripheral cues, social media capital and media richness significantly promote the number of shares. Compared with the push strategy, both the pull strategy and networking strategy facilitate greater fact-check sharing. Fact-checks posted by Central Government social media accounts receive more shares than local government accounts. For central cues, content importance positively predicts the number of shares. In comparison to fact-checks about the latest COVID-19 news, government actions received fewer shares, while social conditions received more shares.

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

A Study on The Selection of Convention Agenda Modifying Elaboration Likelihood Model

2020 ◽  
Vol 21 (1) ◽  
pp. 70-90
Author(s):  
Ye Rin Yhee ◽  
Jong Chul Kim ◽  
Chul Mo Koo
Keyword(s):  
Elaboration Likelihood Model ◽  
Elaboration Likelihood ◽  
Likelihood Model ◽  
Selection Of

Privacy Paradox in mHealth Applications: An Integrated Elaboration Likelihood Model Incorporating Privacy Calculus and Privacy Fatigue

2021 ◽  
pp. 101601
Author(s):  
Mengxi Zhu ◽  
Chuanhui Wu ◽  
Shijiang Huang ◽  
Kai Zheng ◽  
Sean Young ◽  
...  
Keyword(s):  
Elaboration Likelihood Model ◽  
Elaboration Likelihood ◽  
Likelihood Model ◽  
Privacy Calculus ◽  
Privacy Paradox

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.

Processes of Social Influence: The Elaboration Likelihood Model of Persuasion

1985 ◽  
pp. 215-274 ◽  
Author(s):  
JOHN T. CACIOPPO ◽  
RICHARD E. PETTY ◽  
CAL D. STOLTENBERG
Keyword(s):  
Social Influence ◽  
Elaboration Likelihood Model ◽  
Elaboration Likelihood ◽  
Likelihood Model
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