What are the best AI tools for academic writing?

SOURCE: https://master-academia.com/best-ai-tools-academic-writing/#aioseo-6-wordtune

By Leveraging the power of the right AI tool, you can significantly improve the clarity, efficiency, and overall quality of your academic writing. In this guide, we reviewed and ranked 11 popular AI tools for academic writing, along with our top 3 choices, so that you can pick the best one.

Contents

What are the best AI tools for academic writing?

1. Trinka

2. Genei

3. QuillBot

4. Writefull

5. Grammarly

6. Wordtune

7. Paperpal

8. Sourcely

9. Rytr

10. Writesonic

11. TextCortex

Summary and Top Picks

What are the best AI tools for academic writing?

With the rise of AI tools, academic writing is undergoing a remarkable transformation. The emergence of new AI-powered tools has revolutionized the way researchers, scholars, and students approach their writing tasks.

AI sebagai writing assistants

 Tempat mencari infomasi dan ide-ide baru kepenulisan: 

https://chatgpt.com/, 

 https://www.perplexity.ai/

https://www.cognosys.ai/~, 

 SCI-SPACE: https://typeset.io

tempat mencari referensi dari baru sampai lama, siapa author, berapa  sitasinya, tahun berapa dan pdf full text nya.  https://elicit.com/,  https://consensus.app/,  

lebih lengkap lagi dari elicit dan consensus ada visual map nya: interkoneksi paper-papernya  https://www.connectedpapers.com/,  yang sejenis ada lagi: https://researchrabbitapp.com/

https://openknowledgemaps.org/

cek dan koreksi grammar:  www.grammarly.com , parafrase  www.quillbot.com

keywords: transitivity analysis in jakarta post news

 These studies examine transitivity analysis in Indonesian news media, particularly The Jakarta Post, focusing on various topics. Researchers have applied Halliday's Systemic Functional Linguistics theory to analyze news headlines and articles (N. S. Putri et al., 2021; Elisabeth Hutabarat et al., 2020). The most common processes identified in these analyses are material, verbal, and relational (attributive) processes (N. S. Putri et al., 2021; Elisabeth Hutabarat et al., 2020). Transitivity analysis has been used to investigate the portrayal of specific issues, such as COVID-19 (N. S. Putri et al., 2021; Elisabeth Hutabarat et al., 2020), police image (Siska Ria Lenora et al., 2023), and people with HIV/AIDS (Gigit Eklesia & Akhyar Rido, 2020). These studies reveal how language choices in news articles can reflect underlying ideologies and shape public perception of various topics. Comparative analyses between The Jakarta Post and international media outlets have also been conducted to identify differences in reporting styles and focus (Siska Ria Lenora et al., 2023; Gigit Eklesia & Akhyar Rido, 2020).