Riot Headline The Best Books of 2024

Arvyn Cerezo

Arvyn Cerezo is an arts and culture writer/reporter with bylines in Book Riot, Publishers Weekly, South China Morning Post, PhilSTAR Life, the Asian Review of Books, and other publications. You can find them on arvyncerezo.com and @ArvynCerezo on Twitter.

Which Kindle Should I Buy?: An In-Depth Comparison of Different Kindle Models

With plenty of choices, it can be overwhelming to pick a Kindle. In this review, I shed light to the question: “Which Kindle should I buy?”

Kobo Plus Review: Is This the Best Kindle Unlimited Alternative?

This Kobo Plus review weighs the pros and cons of the current best alternative to Kindle Unlimited.

From Fan Fiction to TikTok: Long Live the Microgenre

With the rise of fan fiction publishing and TikTok, microgenres — genres that have defined and specific plots — have reached new heights.

8 Swoon-worthy Korean Romance Novels for K-pop and K-drama Fans

Ride the Korean Wave with this eight Korean romance novels with Korean and K-pop themes by Korean and Korean-American authors.

Will AI Threaten Publishing Jobs?

Do publishing professionals need to be concerned about the impact of AI? Experts weighed in whether AI will threaten publishing.

Riding the Korean Wave: The Rise of Korean Webtoons

After the splash of K-pop and K-drama, webtoons are the next Korean Wave, and they will be accessible than ever soon.

TikTok Book Deals: 9 Authors Whose TikTok Popularity Helped Get Them Published

BookTok is a hottest thing in the publishing industry. Here are 9 authors that leveraged TikTok popularity to help get a book deal, including Lightlark by Alex Aster.

We Need More Close Platonic Male Friendships in Books

Close platonic male friendships seem rare and precious. But how many of them do we get to read that aren't romantic?

Why Are More and More Brands Creating Virtual Book Clubs?

These brands pivoting toward bookish territory definitely sparks some intrigue, and so it raises the question: why is this happening?

Why are Algorithms Still So Bad at Recommending Books?

Machine learning and AI have grown leaps and bounds — so why are algorithmically generated book recommendations still so bad?