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AI Studies

2722% Increase in AI Snapdeal Reviews: 2018 to 2024

How are fake AI reviews impacting Snapdeal? With our proprietary Originality.ai AI detection tool, we studied AI-generated reviews on Snapdeal to find out!

Online product reviews have become a cornerstone of consumer decision-making in the digital economy. 

As platforms expand their reach and product catalogues, reviews offer essential cues to buyers, guiding perceptions of quality, trustworthiness, and value. 

However, with the rise of generative AI tools capable of producing persuasive text, the authenticity of these reviews is now under greater scrutiny. 

This study investigates the rate and potential implications of AI reviews on Snapdeal.

Snapdeal is one of India’s largest and most widely used e-commerce platforms. According to Crunchbase, Snapdeal was founded in 2005 and has received $1.8 billion in funding. Further, the Google Play Store notes that the Snapdeal app has had 100 million+ downloads.

Known for its budget-friendly offerings and broad reach, Snapdeal relies heavily on its review ecosystem to support buyer confidence in an increasingly competitive online marketplace. In light of this, this study aimed to examine the prevalence of AI reviews on Snapdeal from 2018 to 2024. 

Objectives of the Study

Through this analysis, we hope to provide insights into how AI reviews are shaping the Snapdeal e-commerce experience to:

  • Quantify the scale of AI influence within Snapdeal’s review ecosystem. 
  • Identify whether the rate of AI reviews on Snapdeal was increasing year-on-year.
  • Lay the groundwork for further discussions on:
    • Content moderation
    • Platform integrity
    • The potential risks of unchecked automation.

Key Takeaways (TL;DR)

  • 2018 to 2024: 2722% increase in relative growth in AI-generated Snapdeal reviews.
  • Snapdeal AI Review Rate — Timeline:
    • 2018: Only 0.81% of reviews were identified as AI-generated.
    • Mid-2022: The AI review rate on Snapdeal had already surpassed 5%.
    • 2023: The AI rate had climbed into the double digits.
    • 2024: AI Snapdeal reviews made up a striking 22.86%.
  • This raises important questions:
    • Should platforms disclose when reviews are suspected to be AI-generated? 
    • What are the ethical and business implications of allowing, or failing to moderate, such content? 
Key Takeaways

2018 to 2024: AI Snapdeal Reviews Rose by 2722%

2018 to 2024: AI Snapdeal Reviews Rose by 2722%

The analysis of Snapdeal review data from 2018 to 2024 reveals a significant rise in the prevalence of AI-generated reviews. 

In 2018, only 0.81% of reviews were identified as AI-generated. This relatively low starting point suggests that synthetic content was not yet a substantial part of the platform’s ecosystem. 

However, over the following years, the data shows a consistent upward trajectory in AI-generated content.

By mid-2022, the AI-generated review rate had already surpassed 5%, indicating early signs of adoption of generative AI tools into the review space. 

By 2023, the rate had climbed into the double digits, and by 2024, it reached a striking 22.86%.

This change from 0.81% in 2018 to 22.86% in 2024 represents a 2722.22% increase in the rate of AI-generated reviews over a six-year span. 

The growth depicted in the graph was likely fueled by advancements in large language models  (such as the launch of ChatGPT in 2022) and the increasing accessibility of generative AI applications. 

22.9% of Snapdeal Reviews Were Likely AI in 2024

22.9% of Snapdeal Reviews Were Likely AI in 2024

Such a dramatic increase raises concerns about the authenticity of user-generated content. It indicates that AI-generated reviews are no longer marginal — they are becoming a significant presence within Snapdeal’s content ecosystem.

These findings highlight an urgent need for content verification strategies and AI detection systems to ensure transparency and trustworthiness on e-commerce platforms. 

Without intervention, the unchecked growth of synthetic reviews could skew product ratings and undermine the decision-making process for consumers.

What is the Impact of These Findings for Consumers?

What is the Impact of These Findings for Consumers?

The 2722% increase in AI-generated review rates over six years is particularly striking. 

This growth is not merely statistical; it represents a fundamental change in the composition of user feedback, with nearly one in four reviews on Snapdeal in 2024 potentially written by AI

This raises a number of concerns about:

  • The integrity of product ratings.
  • The reliability of feedback used to guide purchase decisions
  • The overall trust consumers place in the platform. 

Further, a surge in synthetic content has implications for platform governance, transparency, and consumer protection.

While generative AI technology offers potential efficiencies, such as assisting users, it also opens the door to the potential for large-scale content manipulation, whether for competitive advantage or by coordinated review farms.

This surge in AI review content prompts deeper questions: 

  • Should platforms disclose when reviews are suspected to be AI-generated? 
  • What are the ethical and business implications of allowing, or failing to moderate, such content? 

These are particularly pressing challenges for e-commerce platforms operating in competitive and rapidly digitizing markets.

Finally, as platforms navigate an evolving landscape where synthetic content can easily blend in with genuine user feedback, addressing these questions and maintaining transparency is becoming increasingly important, especially considering that studies have found humans struggle to identify AI text.

Final Thoughts

This study demonstrates that AI-generated reviews have become a growing part of Snapdeal’s review ecosystem, rising from a low 0.81% in 2018 to a notable 22.86% by 2024. 

Such a sharp increase signals the need for strategic intervention to preserve the credibility and usefulness of online reviews.

To respond effectively, Snapdeal and similar platforms should:

  • Invest in AI detection tools.
  • Introduce transparent content labeling systems.
  • Educate users about the presence of synthetic content.

As generative AI continues to evolve, platforms must act proactively to ensure that technological advancements do not come at the expense of authenticity, fairness, and consumer confidence.

Do you have concerns over whether a post or review you’re reading might be AI-generated? Use the Originality.ai AI detector to find out.

Read more about the impact of AI on online platforms:

Methodology

This study uses a data-driven approach to analyze AI-generated reviews on Snapdeal from 2018 to 2024. 

  • The dataset includes user reviews with timestamps and a binary label indicating whether each review was likely AI-generated, based on a pre-trained detection model.
  • Timestamps were standardized to extract the publication year. 
  • After cleaning the data, reviews were grouped by year to calculate the annual percentage of AI-generated content. 
  • A line chart illustrates trends over time, and an exploded pie chart shows the 2024 distribution of AI- vs. human-written reviews.
  • Data processing and visualization were done in Python using pandas and matplotlib. 

The analysis highlights year-over-year trends and the increase in synthetic content, particularly from 2018 to 2024. 

This method offers a replicable framework for assessing review authenticity across platforms.

Madeleine Lambert

Madeleine Lambert

Madeleine Lambert is the Director of Marketing and Sales at Originality.ai, with over a decade of experience in SEO and content creation. She previously owned and operated a successful content marketing agency, which she scaled and exited. Madeleine specializes in digital PR—contact her for media inquiries and story collaborations.

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