Lauren, Cendy
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Insight into the Theory of Truth from the Lens of Five Review Articles Wulandari, Farni; Lauren, Cendy; Resti Rahmadani, Anggi
Elsya : Journal of English Language Studies Vol. 1 No. 2 (2019): Elsya : Journal of English Language Studies
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (521.994 KB) | DOI: 10.31849/elsya.v1i2.3526

Abstract

As a central philosophical subject, the discourse of truth has existed for thousands of years. One of the most influential theories of truth is James & Katz (1975) book entitled “The Meaning of Truth.” This study aims to analyze the different views on the theory of truth from five articles that have reviewed the theory. This study used a descriptive qualitative method to review these five articles, which serve as the data that this study analyzed. The textual analysis identified and classified the different opinions of other researchers who have reviewed the theory in detail. Additionally, this paper also reviewed the strengths and weaknesses of these five review articles that served as a benchmark in reviewing the theory of truth.
Systematic Review: Where is Current Research on Conversational Analysis? Lauren, Cendy; Derin, Tatum
Elsya : Journal of English Language Studies Vol. 2 No. 2 (2020): Elsya : Journal of English Language Studies
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (649.194 KB) | DOI: 10.31849/elsya.v2i2.3879

Abstract

As social media and other new communication technologies are integrated into teaching and learning environments, educators and researchers continue to be interested in the discussion that takes place in such spaces. This paper reports the findings and the research gaps grounded from current research articles on conversation analysis (CA). The data is collected from international and highly reputable journal publishers, namely Science Direct, Elsevier, Sage, and Wiley. From the resulting 49 articles collected, the screening excluded 24 articles. Therefore, it is the remaining 25 articles that are systematically reviewed. The results indicate several themes throughout the current research field, i.e. digital CA, theory and methodology construction, body language or nonverbal conversation, atypical interaction, usage of specific phrases, and novel settings and objects. The practical implication of this systematic review is a collection of research gaps and recommendations that researchers can take note of and tackle in future studies.
Digital Conversation Analysis on Screen-Captured Data: Comparing Instagram Online Discourse on Smartphone vs Laptop Latief, Muhammad Ridha Anugrah; Jumari, Rahmat; Ardiansya, Ariyanto; Lauren, Cendy; Derin, Tatum
Elsya : Journal of English Language Studies Vol. 6 No. 1 (2024): Elsya : Journal of English Language Studies
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/elsya.v6i1.13195

Abstract

The study of online discourse on social networking sites (SNSs) is a relatively recent field of study where most of the methodology to study online conversations has been derived from spoken conversation analysis (CA). This study attempts to contribute to the development of digital conversation analysis by analysing screen-captured data of publicly available online conversations on Instagram on April 2020. 186 screen-captured data are analysed with digital conversation analysis to discuss and compare the turn-taking, repair, action formation, action sequencing and the role of technology on the production of online conversations. Results show tentative proof that the screen-capture method of data collection has a unique strength in that it gives researchers insight onto the moment-by-moment production of the online conversation that is not available from the traditional method of transcribing. The novelty of this digital CA research is the comparison between smartphone- and laptop-version of screen-captured data, specifically how the different medium affects the production of online discourse of the same SNS.