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2020 SPSP New Orleans Convention

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	Psychology of Media and Technology
Location: Room TBD  |  8:00 AM - 4:30 PM

Media and digital technologies have become a ubiquitous topic in both the popular press and the scientific community. Psychology has been at the forefront of investigating how the rapid normalization of digital technology is affecting human behavior. This preconference will feature innovative researchers presenting on a wide range of topics bridging technology and psychology. Presenters will discuss the most up to date research regarding positive and negative effects of social media. In addition, researchers will discuss how humans perceive, and interact with, artificial intelligence and robots. Additional sessions will include a discussion on how mediated communication is being applied in the clinical world and a practical session will explore seeking and maintaining employment in media and technology related industries. Finally, a data blitz and poster session will showcase work from emerging scholars.

Preliminary schedule. Subject to change.

8:00 - 8:30 am
8:30 - 9:20 am
Understanding Agents
Adam Waytz: Humans and machines
Daniel Shank: Perceiving moral wrongs of humans versus AI agents
9:20 - 10:30 am
Poster session [Celestine Foyer]
[Coffee available 10-11am]
10:30 - 11:45 am
Media/Technology and Individual Differences
Ryne Sherman: Why you (probably) shouldn’t use social media to make personnel decisions
Matthias Mehl: Towards an automated assessment of daily social contexts: A first implementation and evaluation of an audio signal processing approach to analyzing naturalistic ambient sound recordings
Lyle Ungar: Using social media language to understand empathy
11:45 - 12:15 pm
Panel: Working in the Media & Technology Industry
Ljubica Lu Chatman: Capital One
Carson Sandy: Zendesk
12:15 - 1:00 pm
1:00 - 1:40 pm
Data Blitz
1:40 - 2:55 pm
Media/Technology and Mental Health
Molly Ireland: Wherever you go, there you are: Stability and change in anxiety forum users' language across time and online social contexts
Bob Filbin (Crisis Text Line): The data in itself can save lives: Crisis Text Line's corpus on crisis intervention
Andrew Reece (BetterUp Inc.): Conversations are computable: Learnings from algorithmic modeling of dyadic interactions
2:55 - 3:15 pm
Coffee Break
3:15 - 4:25 pm
Positive Effects of Media
Sohad Murrar: Can social norms communicated through entertainment television media reduce prejudice?
Jeff Hancock: Social media and well-being: Insights from data
Nicole Ellison: Social media and well-being: Insights from theory
4:25 - 4:30 pm
Closing Remarks
4:30 - 6:00 pm
Optional Happy Hour

NicoleNicole Ellison, School of Information, University of Michigan

Nicole Ellison's primary research interest is the ways in which new information and communication technologies shape social processes, and vice versa. Her recent research program has focused on the social capital implications of social network site use and issues of self-presentation, relationship formation and maintenance, and impression formation in online contexts.

LjubicaLjubica Lu Chatman, Capital One

Ljubica Lu Chatman is interested in how the digital age is impacting cognitive in social processes, like memory, problem solving etc. She uses this knowledge to inform how we should construct digital spaces in the same way that we construct physical spaces: for the comfort and wellness of people. She's currently working at Capital One labs, on a mission to humanize banking.

BobBob Filbin, Crisis Text Line

Bob Filbin is Chief Data Scientist and Co-Founder at Crisis Text Line, the largest crisis service in the U.S. by text. He specializes in the application of behavioral psychology to questions of data collection, analysis, and reporting, to make sure data leads to strategic actions.

JeffJeff Hancock, Department of Communication, Stanford University

Jeff Hancock works on understanding psychological and interpersonal processes in social media, using computational linguistics and experiments. He recently begun work on understanding the mental models people have about algorithms in social media, as well as working on the ethical issues associated with computational social science.

MollyMolly Ireland, Department of Psychological Sciences, Texas Tech University

Molly Ireland studies how language in conversations, individual writing, and fiction relates to social behavior and mental health. Her recent work focuses on how mental health symptoms manifest in social media messages across contexts and over time, with the aim of developing web tools to help inform self-care and clinical treatment at the individual level.

MatthiasMatthias Mehl, Department of Psychology, University of Arizona

Matthias Mehl studies individual differences in social life and the role that our social lives play for coping with upheavals and health. Methodologically, he adopts an ecological out-of-the-lab-and-into-the-real-world approach and develops behavioral assessment methods for studying everyday life. His work focuses on the naturalistic observation of social interactions and quantitative text analysis of natural language use.

SohadSohad Murrar, Department of Psychology, Governors State University

Sohad Murrar studies how entertainment media can be leveraged to create positive intergroup relations. She examines different types of media (e.g., sitcoms, music videos) as forms of intervention for reducing prejudice and fostering inclusion, and explores the underlying psychological processes associated with pro-social shifts in intergroup attitudes.

AndrewAndrew Reece, BetterUp Inc.

Andrew Reece is a Behavioral Data Scientist at BetterUp labs, a behavioral research team dedicated to improving life at work, where he has worked on loneliness in the US workplace.He earned his PhD from Harvard University, leveraging machine learning, Natural Language Processing, and image analysis to predict changes in personal health based on shifts in social media activity.

CarsonCarson Sandy, Zendesk Inc.

Carson Sandy works in People Analytics at Zendesk, a customer support software company based in San Francisco, CA. She earned her PhD at The University of Texas where her work was focused on personality measurement, interpersonal perception, and natural language processing. At Zendesk she runs programs designed to measure and improve the employee experience including pay parity studies, attrition modeling, and employee engagement surveys.

DanielDaniel Shank, Department of Psychological Science,Missouri University of Science and Technology

Daniel Shank's research focuses on people's interactions with and perceptions of AIs and other advanced computer systems including how people judge their morality and mental capacity.

RyneRyne Sherman, Hogan Assessments

Ryne Sherman is the Chief Science Officer at Hogan Assessments, where he is responsible for managing the functions within Hogan's industry-leading data science department, including talent analytics, product innovation and maintenance, and Hogan's research archive and infrastructure. He is known for his research on the psychological properties of situations and their interaction with personality.

LyleLyle Ungar, Department of Computer and Information Science, University of Pennsylvania

Lyle Ungar's research group develops scalable machine learning and text mining methods, including clustering, feature selection, and semi-supervised and multi-task learning for natural language, psychology, and medical research. Example projects include spectral learning of language models, multi-view learning for gene expression and MRI data, and mining social media to better understand personality and well-being.

AdamAdam Waytz, Kellogg School of Management, Northwestern University

Adam Waytz studies how people think about minds. He looks at when we attribute or deny mental states to other entities, and the moral and ethical implications of these processes.

Emerging scholars (graduate students, post docs, and those within 5 years of receiving their Ph.D.) are encouraged to submit an abstract for consideration as a data-blitz talk (no longer than 4 minutes). Poster submissions follow the same rules, but can also be submitted by undergraduates. Please submit your presentation proposal below. Submissions will be accepted until Nov. 15th, after which the review process will begin. Please note that we are not accepting submissions for talks.

All presenters who have submitted their abstracts by September 29th, will be considered for one of three complimentary preconference registrations. (Due to the way SPSP preconferences are registered, we will unfortunately not be able to consider later submissions for these awards.) Awardees will be selected based on the quality of their submissions, but priority will be given to applicants with limited funding.

Please submit your presentation proposal below.

submit here

Sandrine Müller headshotSandrine Müller, Data Science Institute, Columbia University, sm4658@columbia.edu

Sandrine Müller uses smartphone sensor data to study human behavior. In particular, she examines how mobility patterns (e.g., the places people visit, their daily routines, distance traveled, etc.) can inform our understanding of personality and mental health.

Patrick Ewell headshotPatrick Ewell, Kenyon College, ewellp@kenyon.edu

Patrick Ewell is interested in the psychological intersection between people and new and emerging media. In particular, he conducts research on aggression and morality in video games, as well as the impact of social media on social behavior and self-regulation.

2020 Annual Convention
February 27-29, 2020
New Orleans, LA USA