Yuerong Hu

One of the best advisors of the season!

Thank you so much for joining, Wenyi! See you next Monday!

Thank you so much for joining the panel, Melanie! I look forward to it!

Thanks Alex! Just occurred to me!

Sincerely sorry for the typo in the post! Sponsored by SHARP, the Society for the History of Authorship, Reading, and Publishing!

ILS Panel on “New Book History Research with Internet Data” This is a panel on “Book History with Internet Data”, with 8 panelists from different IMLS/iSchools, funded by SHARP.

📅 Monday, November 10 | 10:00–11:00 a.m. CT
📍 Hosted by the Luddy School of Informatics, Computing, and Engineering, Indiana University Bloomington, at the Luddy AI building Room 2005
🔗 Zoom Registration here: events.iu.edu/siceiub/even...

Our amazing panelists include @micahbateman.bsky.social, @mellymeldubs.bsky.social @wenyishang.bsky.social @bibliowingate.bsky.social@andrewzalot.bsky.social @Cici Ling (iSchool, IU Bloomington) @ Kai Li (iSchool, UTK)and me:)

This is a panel on “Book History with Internet Data”, with 8 panelists from different IMLS/iSchools, funded by SHARP. Over the past two decades, a variety of internet-based datasets have emerged related to books, reading habits, and reader communities—ranging from crowd-sourced genre tags and online reviews to platforms like BookTok. These datasets are increasingly valuable for research in reading and readership, often complementing traditional book history approaches. However, they also raise new questions and challenges. To explore these opportunities and foster interdisciplinary collaboration, this panel will bring together eight panelists from diverse fields to discuss questions, such as: How can we critically understand the relationship between Internet-based “book” data and traditional research materials? What are the methodological challenges and potential pitfalls of using digital data in book history research? How can interdisciplinary approaches enrich the analysis of Internet book and reader datasets? Here are our amazing panelists: - Micah Bateman, Assistant Professor, School of Library and Information Science, The University of Iowa - Melanie Walsh, Assistant Professor, an Assistant Professor in the Information School and an Adjunct Assistant Professor in the English Department, University of Washington - Wenyi Shang, Assistant Professor, School of Information Science & Learning Technologies, University of Missouri - Cici Ling, Assistant Professor, Department of Informatics, Luddy School of Informatics, Computing, and Engineering, Indiana University Bloomington - Kai Li, Assistant Professor, School of Information Sciences, The University of Tennessee, Knoxville - Andrew Zalot, Assistant Professor, College of Education, East Carolina University - Alex Wingate, PhD Candidate, Department of Information and Library Science, Luddy School of Informatics, Computing, and Engineering, Indiana University Bloomington

Hi DH friends, join us on Nov 10, 10-11 am CT, for “New Book History Research with Internet Data”, a hybrid panel sponsored by SHAR, to explore challenges and opportunities of using Internet data and digital methods for book history research. More info in the poster attached and comments :)

My dear iSchool at UIUC is hiring! ❣️

Ph.D. in Information Science Learn more about the Ph.D. in Information Science, offered through the Department of Information and Library Science at IU's School of Informatics, Computing, and Engineering.

Here is the link to our Information Science PhD program: ils.indiana.edu/programs/phd..., Dept of Information and Library Science, Luddy School of Informatics, Computing, and Engineering, Indiana University Bloomington.

Dear friends and colleagues, I am recruiting prospective PhD students for Fall 2026, in Digital Humanities, Cultural Analytics, Critical Data Studies, Social Media, and/or Platform Studies. Please feel free to reach out to me with questions, or share this with anyone who might be interested! Thanks!

A big round of applause for Yiting!

Happy 20th Anniversary MIREX!

The same when first visited there😂

Thank you so much, Glen! Always appreciate working with you and the team! 😄

Comparative analysis of classics book review data created by users across Douban and Goodreads Abstract. While empirical research on online book reviews has advanced our understanding of book reception and everyday reading, more cross-platform and co

Here is the DSH publication link: academic.oup.com/dsh/article/...

Many thanks to our DSH editor, Edward Vanhoutte, DSH anonymous reviewers, and colleagues at DH2023 for their critical questions and feedback! And special thanks to @mellymeldubs.bsky.social and @mariaa.bsky.social for their truly inspirational work on Goodreads classics
doi.org/10.22148/001...!

This is a free-access link to it:
academic.oup.com/dsh/advance-...

Yuerong Hu, Ted Underwood, Glen Layne-Worthey, John Stephen Downie, Comparative analysis of classics book review data created by users across Douban and Goodreads, Digital Scholarship in the Humanities, 2025;, fqaf084, https://doi.org/10.1093/llc/fqaf084

Hi Friends! My coauthors @tedunderwood.me @gworthey.bsky.social @profdownie.bsky.social and I are excited to share our new article in DSH @adho-org.bsky.social
@eadhorg.bsky.social "Comparative analysis of classics book review data created by users across Douban and Goodreads". Link in comment:)

My most sincere congrats, Melissa!!!

We sincerely appreciate the feedback from our BD&S editors and reviewers! Thank you for sharing our work!

Since book sales data is basically impossible to get, this is one of the few resources where you can actually see what people are reading and when.

With the SPL checkout data, you can track trends for your favorite authors and novels, but also see aggregate patterns. E.g., COVID 🤝 audiobooks

Great and thanks! I will keep you posted!

That's amazing! So glad to hear! And thanks again for sharing! We are about to launch another qualitative study interviewing book reviewers, and we will be so happy to hear more from you if you are interested!

So glad to be on this journey with you all!

❤️

Thank you, Mel! I always find you ideas illuminating! Also, really appreciate your early feedback on this piece and your encouraging words dates back to ... my pre-proposal :)

This is so cool and fun (and a serious question for thinking)!

Thanks for sharing your experience and perspectives, Daniel! Indeed, many "incentivied" reviews are fair and authentic from amazing readers/reviewers! We don't argue there are necessarily quality or ethics issues, but instead "change of visibility" caused, as you noticed.

Halle!!🐶🐕🦮🐕‍🦺🐩🐾