株式会社極東書店トップ ＞ 商品一覧 ＞ People's Choice Literature : The Most Wanted and Unwanted Novels.
商品詳細
People's Choice Literature : The Most Wanted and Unwanted Novels.
・ISBN 978-0-231-21928-0 paper US$ 25.00
￥5,857.- (税込) ※（※）価格はご注文時の参考価格となります。
納品価格につきましては書籍の入荷時点で確定となります。
版元の原価改定、外国為替の変動等により異なる場合がございますので、予めご了承下さい。
お気に入り
★★★
| 著者・編者 | Comitta, Tom, |
|---|---|
| 出版社 | (Columbia University Press, US) |
| 出版年月 | 2025 |
| ページ数 | 584 pp. |
| 言語 | ENG |
| ニュース番号 | ＜L25-33711＞ |
解説
What do Americans truly want in a novel? What would it look like if their preferences and aversions materialized in book form? In People's Choice Literature, Tom Comitta has taken up this challenge, writing two groundbreaking novels based on a nationwide poll about literary taste-one featuring the story elements Americans most desire and another containing everything Americans despise.
The Most Wanted Novel is a fast-paced thriller evoking page-turners by Dan Brown, David Baldacci, and Janet Evanovich. It follows a California woman pulled into a tech tycoon's apocalyptic ambitions after her brother's kidnapping, teaming up with a hunky FBI agent with a tragic past. The Most Unwanted Novel is a genre-bending doorstopper: an epistolary Christmas novel set on a near-future Mars, where elderly aristocratic tennis players scour the globe for lost love, venturing from the coldest of arctic wastelands to the darkest caverns of the macabre. Variously recalling Kathy Acker, Cesar Aira, and Philip K. Dick, it features sentient robots, talking animals, and a hundred-page collection of horror stories.
People's Choice Literature is inspired by the artists Komar and Melamid, who created two now-infamous paintings based on opinion polling. A similar experiment by Dave Soldier produced "The Most Wanted Song" and "The Most Unwanted Song." Comitta has adapted these methods to fiction, drawing on readers' preferences about everything from genre to verb tense to characters' identity, and incorporating machine learning data and passages written in collaboration with a large language model. Audacious and shockingly entertaining, People's Choice Literature also asks big questions about taste, authorship, and the notion of "good writing."
The Most Wanted Novel is a fast-paced thriller evoking page-turners by Dan Brown, David Baldacci, and Janet Evanovich. It follows a California woman pulled into a tech tycoon's apocalyptic ambitions after her brother's kidnapping, teaming up with a hunky FBI agent with a tragic past. The Most Unwanted Novel is a genre-bending doorstopper: an epistolary Christmas novel set on a near-future Mars, where elderly aristocratic tennis players scour the globe for lost love, venturing from the coldest of arctic wastelands to the darkest caverns of the macabre. Variously recalling Kathy Acker, Cesar Aira, and Philip K. Dick, it features sentient robots, talking animals, and a hundred-page collection of horror stories.
People's Choice Literature is inspired by the artists Komar and Melamid, who created two now-infamous paintings based on opinion polling. A similar experiment by Dave Soldier produced "The Most Wanted Song" and "The Most Unwanted Song." Comitta has adapted these methods to fiction, drawing on readers' preferences about everything from genre to verb tense to characters' identity, and incorporating machine learning data and passages written in collaboration with a large language model. Audacious and shockingly entertaining, People's Choice Literature also asks big questions about taste, authorship, and the notion of "good writing."