How far have we come in our fight against cyberbullying? Through the lens of human-centeredness, our #CSCW2021 paper systematically reviews the recent literature on cyberbullying detection: https://t.co/3uoM1PngFQ w/ @Afsaneh_Razi @gianluca_string @pamwis@munmun10 (1/9)
I am really excited to share that our paper "Getting Meta: A Multimodal Approach for Detecting Unsafe Conversations within Instagram Direct Messages of Youth" has been accepted at #CSCW23! @Afsaneh_Razi@MattSKim@AshSoo@ciciling07@munmun10@pamwis @gianluca_string (1/)
It's not often that a social media research paper remains relevant a decade after it first publishes! Congratulations, @munmun10! @WebSciConf@websciencetrust https://t.co/LrdxdeJstn
!!! Upcoming talk!
Next week (June 17) @SachinPendse will join us in a joint Masters in Data Science/Center for Applied Data Ethics speaker series event!
His talk, "From Treatment to Healing", is open to the public!
If you can join us, please RSVP here! https://t.co/O283qInC1g
I am so proud of you @mai_elsherief for leading this important research. Heartening to see that our message is reaching far and wide, and this is what we always wished for. Work w/ @kous2v@jiajiaxie2@Everytown
I have the honor of presenting this work tomorrow morning at #CHI2022, during the Justice and Equity I session from 9:00 - 10:15am in Room 297. If you are interested in intersections of mental health, power, and technology (and their history!), do attend!
Today I'll present our paper, "Semantic Gap in Predicting Mental Wellbeing through Passive Sensing" at #CHI2022 . If you think about field deployments and ground truth for studies on mental wellbeing, do come by!
I'll be presenting in-person at 4:15pm in 288-289 (User Modeling).
Our work “Unlocking the Digital Lives of Youth: Analyzing Media Shared within Safe Versus Unsafe Private Conversations on Instagram” got an honorable mention at #CHI2022! With @Afsaneh_Razi@MattSKim@Ashsoo@pamwis@munmun10 @gianluca_string we analyze DMs of teens (1/)
I’ll be presenting our Case Study in-person at #CHI22 at 4 pm CDT. Please check out our work: https://t.co/aB284UQXGC
@pamwis@munmun10 @gianluca_string @AshSoo@MattSKim@Nurun091 @shizzaaali
Very grateful for my fantastic advisors @munmun10 and @nehakumar, and for the deeply supportive and kind community in @SocwebGT and in the TanDEm lab. Many congratulations to @JCherieee_ and Johnny!
From Treatment to Healing: Envisioning a Decolonial Digital Mental Health will be in #CHI2022! A result of many discussions w/ @DanielNkemelu around colonialism in AI/technology/mental health last year, and co-authored w/ @nomadnico@deletedalit@netshrink@munmun10@nehakumar.
Our paper on clinician perspectives regarding computational mental health insights has been published with JMIR Mental Health. I'm grateful for my collaborators @SindhuErnala@Bahador10 Domino, Asra, Elizabeth, Anna, @docETP! Many thanks to my co-advisors @munmun10 and @gabowd
Do you have lived experience with mental illness? Do you feel like you have a perspective that may be less heard? We want to hear from you. Sign up here to be interviewed about your experiences searching for relief and care!
https://t.co/HDf3piYbaU
Do you want to find out about the state-of-the-art in computational approaches for online sexual risk detection? #MeToo! Then check out our #CSCW systematic literature review: https://t.co/M44ZhYmWpT @MattSKim@Ashsoo @gianluca_string @thamar_solorio@munmun10@pamwis (1/11)
This literature review paper was particularly meaningful to me, as it gave me insight into the importance of human-centered machine learning. I am very excited to share this work at #CSCW2021. I thank all of my co-authors for their help and @NSF for funding this study. (9/9)
How far have we come in our fight against cyberbullying? Through the lens of human-centeredness, our #CSCW2021 paper systematically reviews the recent literature on cyberbullying detection: https://t.co/3uoM1PngFQ w/ @Afsaneh_Razi @gianluca_string @pamwis@munmun10 (1/9)
In addition, speculation of the real-life usage of these systems is needed to not only consider the influence on the users but also to foresee any potential negative consequences that could derive from the use of automated cyberbullying detection systems. (8/9)