Literary hub explores data on online searches and loss

A new piece on Literary Hub examines what internet search data reveals about human experiences of grief and solitude.

The article, published on May 8, highlights patterns in online queries related to personal loss.

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LitHub spotlight on overlooked queer books amid shadowed NYT reviews, symbolizing literary representation gaps.
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LitHub launches reviews of queer books overlooked by New York Times

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Literary Hub has published a series of 13 reviews highlighting books by trans and queer authors that received no coverage in the New York Times Book Review from 2013 to 2022. The project, titled 'What Was Lost: A Queer Accounting of the NY Times Book Review, 2013-2022,' responds to the editorial tenure of Pamela Paul, who led the section during that period and later wrote an anti-trans essay. Organized by Sandy E. Allen and Maris Kreizman, the initiative aims to address gaps in literary criticism and foster discussion on representation.

A new article appeared on Literary Hub yesterday.

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Literary Hub has released an article exploring Ukrainian literature as a lens for understanding the ongoing war. Titled 'Writing While the Alphabet Burns: Ukrainian Literature to Help Understand the Ongoing War,' it appeared on the site recently.

Goodreads users have chosen their most anticipated books for spring, compiling a list of 79 titles across various categories. Highlights include Last Night in Brooklyn by Xóchitl González and Chain of Ideas by Ibram X. Kendi.

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Literary Hub has published a list of ten great nonfiction books recommended for reading in May. The selection highlights standout titles in the genre for the month. It appeared online on April 30.

Book Riot released its 'Today in Books' roundup on March 15, 2026, summarizing literary headlines from the week. The post covers stories including Goodreads' most read books, 2026 Indies Choice Awards shortlists, and emerging tactics in destroying libraries. It also notes a pop icon set to star in an adaptation of The Bell Jar.

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A new research paper demonstrates that large language models can identify real identities behind anonymous online usernames with high accuracy. The method, costing as little as $4 per person, analyzes posts for clues and cross-references them across the internet. Researchers from ETH Zurich, Anthropic, and MATS warn of reduced online privacy.

 

 

 

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