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SLA Webinars

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Webinar Title:                  Using Analytics to Understand Social Media Activity
Day / Date / Time:          Wednesday, February 4, 12:00 – 1:00 pm ET

SLA Unit Sponsor:          IT Division

Registration Fee:             Free
Registration Link:           https://attendee.gotowebinar.com/register/8018277969838780417

Webinar Information:

Librarians make use of social media to be part of communities, or promote services and events. Social media are used to create “participatory services” emphasizing engagement with users. However, there has been little investigation into the success of social media use by libraries.

This webinar will discuss the role of Twitter and Pinterest in enhancing participatory services. Research findings which suggest better strategies for user engagement will be presented, along with several tools and methods that can be used to conduct social media analytics.

The webinar will allow you to:

* Understand the role of social media in enhancing participatory services and user engagement

* Examine some common tools and practices associated with analyzing social media activities

* Learn about the capabilities of different social media channels and how they can be tailored

* Use strategies for effectively incorporating social media tools into your own institution

Speaker Background:

Michelle Chen, Ph.D., is currently an Assistant Professor at the School of Information at San José State University. Prior to joining the SJSU iSchool, she taught in several different universities, including the University of Texas at Austin, the University of Connecticut and the University of San Francisco. Her primary research and teaching areas include information visualization, data mining, social network analysis, and online user behavior. In particular, she is interested in investigating the range of motives that drive online users to seek and exchange information, the interaction dynamics shaped by these networked environments, and the economic and business consequences of the informational and social value derived from such behavior. Michelle’s research can be found in Information Systems Research, Big Data Research, Review of Business Research, etc. She is also a member of SJSU’s Cybersecurity and Big Data Initiative.

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