Social Medium
Social media analysis focuses on understanding and leveraging the vast amount of textual and multimedia data generated on online platforms to address societal challenges and scientific questions. Current research heavily utilizes large language models (LLMs) and transformer-based architectures, coupled with graph neural networks and other machine learning techniques, to detect harmful content (e.g., hate speech, suicide ideation, misinformation), analyze user behavior and sentiment, and predict societal trends. This field is significant for its potential to improve mental health interventions, mitigate the spread of harmful information, and enhance our understanding of social dynamics, impacting both the social sciences and the development of more responsible and ethical online platforms.
Papers
Investigating the dissemination of STEM content on social media with computational tools
Oluwamayokun Oshinowo, Priscila Delgado, Meredith Fay, C. Alessandra Luna, Anjana Dissanayaka, Rebecca Jeltuhin, David R. Myers
Utilizing Large Language Models to Identify Reddit Users Considering Vaping Cessation for Digital Interventions
Sai Krishna Revanth Vuruma, Dezhi Wu, Saborny Sen Gupta, Lucas Aust, Valerie Lookingbill, Caleb Henry, Yang Ren, Erin Kasson, Li-Shiun Chen, Patricia Cavazos-Rehg, Dian Hu, Ming Huang
Enhancing Textual Personality Detection toward Social Media: Integrating Long-term and Short-term Perspectives
Haohao Zhu, Xiaokun Zhang, Junyu Lu, Youlin Wu, Zewen Bai, Changrong Min, Liang Yang, Bo Xu, Dongyu Zhang, Hongfei Lin
Social Media and Artificial Intelligence for Sustainable Cities and Societies: A Water Quality Analysis Use-case
Muhammad Asif Auyb, Muhammad Tayyab Zamir, Imran Khan, Hannia Naseem, Nasir Ahmad, Kashif Ahmad
Stance Detection on Social Media with Fine-Tuned Large Language Models
İlker Gül, Rémi Lebret, Karl Aberer
Exploring Boundaries and Intensities in Offensive and Hate Speech: Unveiling the Complex Spectrum of Social Media Discourse
Abinew Ali Ayele, Esubalew Alemneh Jalew, Adem Chanie Ali, Seid Muhie Yimam, Chris Biemann
Mapping Violence: Developing an Extensive Framework to Build a Bangla Sectarian Expression Dataset from Social Media Interactions
Nazia Tasnim, Sujan Sen Gupta, Md. Istiak Hossain Shihab, Fatiha Islam Juee, Arunima Tahsin, Pritom Ghum, Kanij Fatema, Marshia Haque, Wasema Farzana, Prionti Nasir, Ashique KhudaBukhsh, Farig Sadeque, Asif Sushmit
AI-Enhanced Cognitive Behavioral Therapy: Deep Learning and Large Language Models for Extracting Cognitive Pathways from Social Media Texts
Meng Jiang, Yi Jing Yu, Qing Zhao, Jianqiang Li, Changwei Song, Hongzhi Qi, Wei Zhai, Dan Luo, Xiaoqin Wang, Guanghui Fu, Bing Xiang Yang
Accuracy of a Large Language Model in Distinguishing Anti- And Pro-vaccination Messages on Social Media: The Case of Human Papillomavirus Vaccination
Soojong Kim, Kwanho Kim, Claire Wonjeong Jo
"Sora is Incredible and Scary": Emerging Governance Challenges of Text-to-Video Generative AI Models
Kyrie Zhixuan Zhou, Abhinav Choudhry, Ece Gumusel, Madelyn Rose Sanfilippo