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DTSTART:20201101T020000
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DTSTART:20200308T020000
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UID:12394-59e255e97fc8e0cddcd8732dbd73d230@events.la.psu.edu
DTSTAMP:20260308T105108Z
DTSTART;TZID=America/New_York:20240913T143000
DTEND;TZID=America/New_York:20240913T160000
SUMMARY:“The Lonely Algorithm Problem: Theorizing the Intersection of Algorithmi
	c Personalization and Personal Relationships”
DESCRIPTION:\nA wide variety of social media platforms\, including Insta
	gram\, TikTok\, and Facebook\, claim that their algorithms and A.I. were
	 designed to facilitate social connection and meaningful interpersonal c
	ommunication. But do these claims really match up with the experiences o
	f social media users? Through a series of longitudinal surveys and exper
	iments\, Taylor will introduce “The Lonely Algorithm Problem” to explain
	 the paradox of algorithmic personalization promoting personal relations
	hips. Drawing from the algorithm responsiveness process framework\, this
	 talk will advance a sociotechnical perspective on how algorithms and A.
	I. influence relationship formation\, maintenance\, and dissolution proc
	esses. Perceived algorithm responsiveness and insensitivity will be posi
	tioned as theoretical mechanisms explaining issues central to the lonely
	 algorithm problem. This ongoing research program from Taylor ultimately
	 questions claims from social media platforms that tweaks to an algorith
	m’s code can cause better personal relationships.\n\nSamuel Hardman Tayl
	or studies interpersonal and psychological processes in social media\, m
	obile phones\, and other communication technologies. His research focuse
	s on the implications of digital media for personal relationships and ps
	ychological well-being. He is interested in human-computer interaction\,
	 emphasizing designing new technologies to support relationships\, empat
	hy\, and mental health. Sam earned his doctoral degree in communication 
	from Cornell University\, and he is currently an assistant professor of 
	communication at the University of Illinois Chicago.\n\nFor more details
	: https://events.la.psu.edu/event/the-lonely-algorithm-problem-2/
X-ALT-DESC;FMTTYPE=text/html:<html><head></head><body><p>A wide variety 
	of social media platforms, including Instagram, TikTok, and Facebook, cl
	aim that their algorithms and A.I. were designed to facilitate social co
	nnection and meaningful interpersonal communication. But do these claims
	 really match up with the experiences of social media users? Through a s
	eries of longitudinal surveys and experiments, Taylor will introduce “Th
	e Lonely Algorithm Problem” to explain the paradox of algorithmic person
	alization promoting personal relationships. Drawing from the algorithm r
	esponsiveness process framework, this talk will advance a sociotechnical
	 perspective on how algorithms and A.I. influence relationship formation
	, maintenance, and dissolution processes. Perceived algorithm responsive
	ness and insensitivity will be positioned as theoretical mechanisms expl
	aining issues central to the lonely algorithm problem. This ongoing rese
	arch program from Taylor ultimately questions claims from social media p
	latforms that tweaks to an algorithm’s code can cause better personal re
	lationships.</p><p>Samuel Hardman Taylor studies interpersonal and psych
	ological processes in social media, mobile phones, and other communicati
	on technologies. His research focuses on the implications of digital med
	ia for personal relationships and psychological well-being. He is intere
	sted in human-computer interaction, emphasizing designing new technologi
	es to support relationships, empathy, and mental health. Sam earned his 
	doctoral degree in communication from Cornell University, and he is curr
	ently an assistant professor of communication at the University of Illin
	ois Chicago.</p><p>For more details: <a href='https://events.la.psu.edu/
	event/the-lonely-algorithm-problem-2/'>https://events.la.psu.edu/event/t
	he-lonely-algorithm-problem-2/</a></p></body></html>
LOCATION:158 Willard Building
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