Link: ieeedistill.github.io/speakers/

Paper link: aclanthology.org/2025.finding...

In summary, our method provides an explainable way to reverse-engineer targeting practices and uncover potential bias or messaging disparities. Looking forward to connecting with the community around Ethics, Bias & Fairness in NLP #Ethics #Bias #Fairness #FairAI #AIethics #EMNLP

💡 Findings:
• Climate ads use distinct themes: activism for young adults, caregiving & advocacy for women, economic/innovation frames for men
• While LLMs perform well, biases persist, especially for males
• Insights: need for more inclusive, transparent, & accountable climate communication

We leveraged LLMs to audit climate ad microtargeting on social media, proposing a third-party, post-hoc framework to:
1️⃣ Identify which demographics (age, gender) ads are targeting
2️⃣ Generate transparent explanations that reveal messaging strategies
3️⃣ Evaluate fairness using established metrics

This work builds on one of the future directions I proposed during my Ph.D. defense, making the acceptance especially meaningful. 🌟

Paper link: arxiv.org/pdf/2410.05401

Slide: tunazislam.github.io/files/Latent...

‪Paper link: ojs.aaai.org/index.php/IC...

‪#machineintheloop #llmsintheloop #latentthemesdiscovery #climatecampaigns #vaccinecampaigns #socialmedia #computationalsocialscience‬

Paper title “Discovering Latent Themes in Social Media Messaging: A Machine-in-the-Loop Approach Integrating LLMs
Authors”
Paper link: ojs.aaai.org/index.php/IC...

Will the meta-review be visible to authors? If so, when?