Aria Pessianzadeh
@ariapessian.bsky.social
PhD at Drexel, NLP and CSS. Trying to understand politics and culture through data and AI!
Reposted by Aria Pessianzadeh
Our new paper, with my amazing PhD student, Aliah Zewail, is published in the European Review of Social Psychology.
We review (and encourage) historical and geographical research on morality from a pluralistic perspective.
Link:
doi.org/10.1080/1046...
We review (and encourage) historical and geographical research on morality from a pluralistic perspective.
Link:
doi.org/10.1080/1046...
May 9, 2025 at 2:09 PM
Our new paper, with my amazing PhD student, Aliah Zewail, is published in the European Review of Social Psychology.
We review (and encourage) historical and geographical research on morality from a pluralistic perspective.
Link:
doi.org/10.1080/1046...
We review (and encourage) historical and geographical research on morality from a pluralistic perspective.
Link:
doi.org/10.1080/1046...
Reposted by Aria Pessianzadeh
Honest question: how do people in NLP deal with the enormous stream of papers 📄 coming in on a daily basis? I would need three times the hours ⏳ to finish my reading list before new papers come in again 📚
February 28, 2025 at 2:08 PM
Honest question: how do people in NLP deal with the enormous stream of papers 📄 coming in on a daily basis? I would need three times the hours ⏳ to finish my reading list before new papers come in again 📚
Reposted by Aria Pessianzadeh
Want to learn about computational social science *for free* and launch interdisciplinary research projects? We are so excited to announce there will be *26* Summer Institutes in Computational Social Science this year! Apply to one of them here: sicss.io/locations
February 24, 2025 at 2:27 PM
Want to learn about computational social science *for free* and launch interdisciplinary research projects? We are so excited to announce there will be *26* Summer Institutes in Computational Social Science this year! Apply to one of them here: sicss.io/locations
Reposted by Aria Pessianzadeh
🚨 #IC2S2’25 Call for Abstract deadline is just around the corner—Feb 24, 2025
Submit your abstract now: www.ic2s2-2025.org/submit-abstr... and join us in Norrköping, Sweden.
Tutorials announcement coming soon!
Submit your abstract now: www.ic2s2-2025.org/submit-abstr... and join us in Norrköping, Sweden.
Tutorials announcement coming soon!
February 14, 2025 at 9:32 AM
🚨 #IC2S2’25 Call for Abstract deadline is just around the corner—Feb 24, 2025
Submit your abstract now: www.ic2s2-2025.org/submit-abstr... and join us in Norrköping, Sweden.
Tutorials announcement coming soon!
Submit your abstract now: www.ic2s2-2025.org/submit-abstr... and join us in Norrköping, Sweden.
Tutorials announcement coming soon!
Reposted by Aria Pessianzadeh
A lot of non-academics don't understand the time scale of scholarly work. It takes at least months, often years, to complete an article or book. And a scholar's body of work often builds on itself over a decade or more. Being told to stop work mid-project can be catastrophic to a career.
February 12, 2025 at 12:12 AM
A lot of non-academics don't understand the time scale of scholarly work. It takes at least months, often years, to complete an article or book. And a scholar's body of work often builds on itself over a decade or more. Being told to stop work mid-project can be catastrophic to a career.
Reposted by Aria Pessianzadeh
Can we detect #hatespeech at scale on social media?
To answer this, we introduce 🤬HateDay🗓️, a global hate speech dataset representative of a day on Twitter.
The answer: not really! Detection perf is low and overestimated by traditional eval methods
arxiv.org/abs/2411.15462
🧵
To answer this, we introduce 🤬HateDay🗓️, a global hate speech dataset representative of a day on Twitter.
The answer: not really! Detection perf is low and overestimated by traditional eval methods
arxiv.org/abs/2411.15462
🧵
November 26, 2024 at 12:53 PM
Can we detect #hatespeech at scale on social media?
To answer this, we introduce 🤬HateDay🗓️, a global hate speech dataset representative of a day on Twitter.
The answer: not really! Detection perf is low and overestimated by traditional eval methods
arxiv.org/abs/2411.15462
🧵
To answer this, we introduce 🤬HateDay🗓️, a global hate speech dataset representative of a day on Twitter.
The answer: not really! Detection perf is low and overestimated by traditional eval methods
arxiv.org/abs/2411.15462
🧵