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Literature Review Hack: Find Perfect Sources in 2 Hours 

Skip the endless literature research phase and discover smarter ways to build a solid literature review.
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Key Takeaways: Your literature review isn’t just a background section; it’s the foundation of your entire argument. Most students stuff their reviews with outdated sources and treat them like window dressing instead of building blocks for critical analysis. Here’s how to find relevant, perspective-shifting sources and use them to strengthen your thesis argument.

Table of Contents

Introduction: The Real Problem Nobody Talks About

Your professor just handed back your draft with the dreaded comment: “Literature review feels disconnected from your analysis.” Sound familiar? Here’s what’s happening: You’re treating your literature review like a museum exhibit instead of a construction site. You find some sources, summarise what they say, then jump to your analysis as if they’re separate things. 

The truth: Most literature reviews we see, even in the context of our editing work, are merely busywork and barely contribute to supporting the central thesis. Many students collect sources but struggle to connect them to their critical thinking. However, writing a literature review is as much a creative endeavor as it is a structured, mechanical process. 

We see this all the time at Delta Lektorat. Students submit their work with sources that are either outdated, irrelevant to their actual argument, or were never integrated into their critical analysis. Even worse in the age of AI: many of the cited sources don’t even exist. We invite you to forget complicated frameworks. In this article, we’ve compiled how to find important sources and which methods have proven effective. 

Find Sources that Matter (in 2 Hours using AI)

Most students type a broad keyword into Google Scholar, grab the first result, and call it a day. No surprise they end up with irrelevant or outdated sources that do more harm than good to their argument. Or nowadays, they let ChatGPT do the searching and copy its results without checking them.  

Image source: Shvets (2020)

Here’s the smarter and faster way: 

First Hour: Search  

    • Use Perplexity AI to search for sources from the past two years that are directly related to your thesis and topic. Enter this prompt: “I claim that [your thesis]. Find 5 recent sources (2020+) that either support, question, or expand my argument. Explain for each one how it is connected to my thesis and topic.” Then check whether the sources exist, because AI tends to hallucinate sometimes. 
    • Use Connected PapersResearchRabbit or Inciteful, to help you with citation graphs to see how studies connect. This quickly shows which sources are foundational, which are fringe, and which are most recent. 
    • In addition, you can also check Google Scholar to filter by year, sort by relevance, and use “Cited by” to jump from one foundational paper into the newest work. 

Second Hour 2: Filter 

    • Then, you need to use Claude or ChatGPT in an analysis mode: Drop in abstracts from the sources you found and ask the following prompt: “Which of these sources are most relevant to my argument, and why?” 
    • You can also use Elicit or Scholarcy to auto-summarise PDFs or abstracts to pull out the key claims, methods, and limitations in minutes. 

AI’s ability to assist in literature reviews extends beyond just finding and summarising articlesInstead of collecting random PDFs, you now have a curated set of high-impact sources that talk to your thesis, not just sit in your bibliography. This shift alone cuts your research time in half, because you’re not wasting hours summarising studies that don’t move your argument forward. 

How to Choose the Right Mix of Sources

After you’ve completed your search and filter phase, forget chasing random papers and including them in your thesis. A strong review (depending on the academic paper you are writing, Bachelor’s; Masters, Executive Education, etc.) usually needs at least 30-50 academic sources on the topic if you pick the right mix. 

Your bibliography should include a good mix of: 

    • Foundation Sources: Recent papers that define the state of knowledge in your field. These set up the problem you’re solving.
    • Challenge Sources: Studies that disagree with each other, or with your argument. They create the tension your thesis will resolve. 
    • Extension Sources: Recent research that opens new directions. These prove your work matters right now.  

Together, these categories make your review feel alive, not like a dusty bibliography.  

Image source: Chung (2018)

Why do students usually mess this up? They think they need to cover every angle and write a one-paragraph summary for it. Whereas they only need sources that directly engage their thesis, and for each, they can demonstrate how they relate to each other and to the main arguments in the thesis. Always consult your university guidelines and requirements when it comes to the criteria and number of academic sources you need to include in your thesis. 

Turn Your Review into an Argument

Don’t treat your literature review and your analysis as two separate worlds. You should connect literature-based arguments with evidence-based analysis. When writing, follow a structure like this one: 

“Recent research suggests that [finding from a recent source]. However, other evidence indicates that [contradiction or problem]. This discrepancy highlights that [integrated argument].” 

Image source: Baran (2023)

That’s how you move from summarising to building an argument. And if you’re wondering whether you’re on the right track, here are some red flags you can look for: 

    • You don’t cite sources newer than five years. If you mostly use older sources without explaining their current relevance, this could indicate that newer research is being overlooked. 
    • Every paragraph starts with “Author (Year) argues that …” 
    • You don’t explain in your paper how two sources are connected. 
    • There is no recognizable connection between analysis and interpretation. 
    • You collected all your sources in a quick Google Scholar session. 
    • The sources are too one-sided, so no real discourse emerges. 

If you check more than one of these, time to rethink and rewrite. 

Tools That Actually Save You Time

Once you’ve built your 2-hour source set, there’s a whole set of AI tools that can keep you organised, focused, and fast. Here are our favourites: 

Finding New Sources: 

    • Litmaps: Like Spotify for research. It maps trends and alerts you to new papers as soon as they’re published.

Staying Organised: 

    • ZoteroBib (zbib.org): Instantly create properly formatted citations and bibliographies without downloading anything. Perfect for students who don’t want to manage reference software, such as MendeleyCitavi, or Zotero. 
    • OneDrive Documents or Excel Tables: Simple but powerful. Create a table with three columns (Source | Key Claim | How it relates to my thesis), and you’ll already have a solid database of sources.

Making Sense of Sources:

    • Elicit or Scholarcy: Quickly summarise long PDFs, highlight key claims, and export notes. 
    • Consensus: Ask questions and receive evidence-based summaries of published studies. 

Conclusion

Sometimes you need more than better tools; you need expertise that sees patterns you’re missing. You need a subject matter expert who can help you contextualize the knowledge and develop a coherent line of argument. At Delta Lektorat, we don’t just fix grammar. We help students build arguments and support them in spotting patterns, bridging gaps, and turning scattered references into a persuasive foundation for their thesis. 

Ready to move from an “acceptable” to an exceptional literature review? Reach us out and see how expert editing can transform your work. 

What’s your biggest struggle with academic writing? Join our conversation on LinkedInFacebook, or Instagram. We’d love to hear your take. 

Frequently Asked Questions (FAQs)

Yesif you focus on quality over quantity, you will have a solid base of sources and analysis within 2 hours. Using tools like Perplexity for recent sources and Claude for filtering relevance, you can quickly build a focused set of high-impact sources. The trick is not speed-reading everything but strategically choosing what directly connects to your thesis.

No. These tools don’t replace your critical thinkingWith the help of AI, you can accelerate the finding and filtering. You still must analyse, connect, and argue. Think of them like Google Scholar, but supercharged.

You can include it, but don’t rely on it fully. Pair it with recent sources to show how the field has moved forward. A classic source from 2018 is totally fine, especially in fields where knowledge progresses more slowly. What’s important is that you don’t use it as your only or most current reference. And if you do cite it, you should explain why the source is still relevant or valid today. 

If your sources still feel disconnected or your argument isn’t clear, an expert eye can help. Editors don’t just clean grammar; they help you see where your reasoning doesn’t quite hold together. 

Disclosure: This article was prepared by human contributors. Generative AI tools were used to support brainstorming, language refinement, and structural editing. All final decisions regarding content, recommendations, and academic insights reflect human judgment and expertise.

References

ATLAS.ti. (2023). The literature review and AI: How artificial intelligence supports research. ATLAS.ti. https://atlasti.com/guides/literature-review/literature-review-ai 

University of Southern California Libraries. (n.d.). Organizing your social sciences research paper: 5. The literature review. USC Libraries. https://libguides.usc.edu/writingguide/literaturereview 

DataCreds. (2023, July 14). How to use AI for accurate literature review. DataCreds. https://www.datacreds.com/post/how-to-use-ai-for-accurate-literature-review-1 

Wagner, G., Lukyanenko, R., & Paré, G. (2021). Artificial intelligence and the conduct of literature reviews. Journal of Information Technology, 37(2), 209-226. 
https://doi.org/10.1177/02683962211048201 

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