[Faculty] Fwd: AI Seminar Jan 28, Tuesday, 10:30-11:30am, GMCS405

[Xiaobai Liu]

FYI

Best,
Xiaobai Liu, PhD
Associate Professor of Computer Science
Director of Machine Vision and Perception Lab
San Diego State University
CA, 92182





---------- Forwarded message ---------
From: Xiaobai Liu <xiaobai.liu at sdsu.edu>
Date: Thu, Jan 23, 2020 at 11:27 PM
Subject: AI Seminar Jan 28, Tuesday, 10:30-11:30am, GMCS405
To: Computer Science Faculty <csfac at sdsu.edu>


Dear All:
Happy New Semester!

Please check this seminar for our first event this spring. Dr. Shaozeng
from Oregon State University will present his recent research outcomes.

Please let me know if you would like to speak with him in person.



Artificial Intelligence Seminars

*Contextual interpretation of social media users’ interaction with content
recommendation algorithm in the “post-truth” era today*







*Speaker    *Dr. Shaozeng Zhang

                  Assistant Professor, department of anthropology,

                  Oregon State University



*Where       *GMCS-405



*When        *10:30am-11:30am, Tuesday, Jan 28, 2020



*Speaker*



Dr. Shaozeng Zhang has been serving as an Assistant Professor in the
department of anthropology at Oregon State University (OSU) since 2017.
Before joining OSU, he had also worked at Colorado State University. He
received his PhD degree in cultural anthropology from the University of
California, Irvine in 2014. His research has been focusing on the
interdisciplinary field of Science, Technology and Society (STS), with
particular interests in social trajectories of environmental sciences in
policymaking and ,since more recently, in human interface with digital
technologies.



*Abstract*



This study examines an online protest movement on location-based social
media in order to develop contextual interpretation of user-generated big
data and to challenge the ongoing debates on “post-truth”. In 2016, in
support of the local protests against a crude oil pipeline passing through
the region, social media users all over the world remotely checked in to
and wrote location-based reviews of the Standing Rock Indian Reservation,
North Dakota using a technique that can be called “location spoofing.” This
collective action thus generated a massive volume of “fake” locational
information. This study develops an anthropological approach to
user-generated big data as digital traces of human activities in the
broader social-technological network of the involved human and non-human
actors. This study reveals that the online protesters’ use of
location-based features and content recommendation algorithm challenged not
only the political and technological authorities but also, at a more
profound level, the established ways for determining what is true and who
gets to decide what is true for what purpose. This unique case of
decentralized data generation and dissemination demonstrates an ongoing
reconfiguration of the previously established regime of truth that was
monopolized by scientists or top politicians. The contextual approach to
data interpretation is a pioneering effort to update our epistemological
assumptions about truth and our research methodology in data environments
today. It calls on scholars across disciplines to envision an
epistemological shift in our continuous pursuit of knowledge and truth in
the so-called “post-truth” era today.








Host:   Dr. Xiaobai Liu

Student Organizer:    Patrick Perrine

Web:    sdsuai.home.blog

Best,
Xiaobai Liu, PhD
Associate Professor of Computer Science
Director of Machine Vision and Perception Lab
San Diego State University
CA, 92182
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