LACUNY Event Highlights Research Strategies in the Era of Search Engine Optimization

 

The Library Association of the City University of New York (LACUNY) has announced a half-day event taking place on Friday, May 17th. Computers and Crowds: Unexpected Authors and Their Impact on Scholarly Research is open to all New York City-based librarians; registration is now open.

 

Computers and Crowds: Unexpected Authors and Their Impact on Scholarly Research

Friday, May 17th
9:30am - 12:30pm
CUNY Graduate School of Journalism, Room 308
Register online at http://tinyurl.com/lacunycrowds

Join us for an exciting half-day session that begins with an introduction to new content production models and ends with a moderated breakout discussions of specific topics in the field. This free program is open to all NYC librarians. Seating is limited.

Part 1: Hats, farms, and bubbles: How emerging marketing & content production models are making research more difficult (and what you and your students can do about it)

Description:
Google and other search engines have made tremendous progress organizing the world’s knowledge. However, accessing that knowledge is becoming increasingly difficult because of emerging marketing and content production models utilized by high-ranking sites like eHow.com and ExpertVillage.com.

Search Engine Optimization (SEO), "content farms," and Google's increasingly personalized search algorithms are making search engines less effective as academic research tools. Therefore, students are exposed to more shallow, low quality results than ever before.

In this session, learn more about the technologies behind these emerging marketing and content production models. Learn strategies faculty, students, and librarians can use to respond to new information environment.

Speakers:
- Kate Peterson, Information Literacy Librarian, University of Minnesota-Twin Cities
- Paul Zenke, DesignLab/Digital Humanities Initiative Project Assistant, University of Wisconsin-Madison

Part 2: Three concurrent breakout conversations on content farms, algorithm-written content, and crowd sourcing. Recommended readings will be made available in advance on the Academic Commons.

A joint program brought to you by the LACUNY Emerging Technologies Committee, the LACUNY Scholarly Communications Roundtable, LILAC, and the Office of Library Services