Tag: #publishing18 results
A consumer bought popular bestselling books only to discover their authors were AI, not humans. The piece advises readers to prioritize books by real human authors. It promotes the Ifanr WeChat channel for more content.
Literary translator Yoann Gentric tested DeepL on a nuanced novel sentence, finding AI lacks full accuracy. Despite booming AI disrupting publishing translation jobs, human nuance remains valuable. Translators may be needed longer amid tech advances.
Researcher frustrated with ML conference reviews seeks journal alternatives to JMLR's long waits, highlighting TMLR as promising for shorter papers. Questions selectivity and quality of Q1 journals like Neurocomputing, Neural Networks, Machine Learning in conference-dominated ML field.
Researcher debates committing revised ML paper with ARR scores of 3, 2.5, 2.5 (meta 2.5) to ACL SRW, ICML workshop, or waiting for AACL. Concerns include field moving fast, low acceptance odds, and workshop prestige vs timely publication. Professor advises caution on workshops.
A top book blogger with nearly 50k fans was called out for faking reviews of 704 books using AI-generated copy, templates, and fabricated experiences. The scandal ignited debates on reading influencer authenticity, platform algorithms, and publishing marketing woes. Marketing editors highlighted KPI pressures and limited budgets amid rising paid promotions.
Jinjiang authors use Xiaohongshu for high-conversion pre-launch promotion amid internal traffic woes. Formats like covers and snippets drive collections. Suggests AI-powered discovery to retain traffic internally.
A publisher has canceled the release of horror novel 'Shy Girl' by Mia Ballard due to claims it was AI-generated. The author denies using AI in writing the book. This incident underscores rising tensions in publishing over AI-assisted content.
Researcher shares experience of CVPR workshop acceptance after three conference rejections. Questions optimal timing for workshop submissions and their value for PhD applications. Notes receiving PC decision without individual reviews.