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We take interest in the early assessment of risk for depression in social media users. We focus on the eRisk 2018 dataset, which represents users as a sequence of their written online contributions. We implement four RNN-based systems to…

计算与语言 · 计算机科学 2019-07-02 Diego Maupomé , Marc Queudot , Marie-Jean Meurs

Pathogenic Social Media (PSM) accounts such as terrorist supporter accounts and fake news writers have the capability of spreading disinformation to viral proportions. Early detection of PSM accounts is crucial as they are likely to be key…

社会与信息网络 · 计算机科学 2019-05-07 Elham Shaabani , Ashkan Sadeghi-Mobarakeh , Hamidreza Alvari , Paulo Shakarian

Social media platforms offer flagging, a technical feature that empowers users to report inappropriate posts or bad actors to reduce online harm. The deceptively simple flagging interfaces on nearly all major social media platforms disguise…

人机交互 · 计算机科学 2024-12-12 Alice Qian Zhang , Kaitlin Montague , Shagun Jhaver

Gang violence is a severe issue in major cities across the U.S. and recent studies [Patton et al. 2017] have found evidence of social media communications that can be linked to such violence in communities with high rates of exposure to…

Mental disorders including depression, anxiety, and other neurological disorders pose a significant global challenge, particularly among individuals exhibiting social avoidance tendencies. This study proposes a hybrid approach by leveraging…

人工智能 · 计算机科学 2025-05-30 Mohammad Helal Uddin , Sabur Baidya

Social media is daily creating massive multimedia content with paired image and text, presenting the pressing need to automate the vision and language understanding for various multimodal classification tasks. Compared to the commonly…

计算与语言 · 计算机科学 2023-03-28 Chunpu Xu , Jing Li

Opioid and substance misuse is rampant in the United States today, with the phenomenon known as the "opioid crisis". The relationship between substance use and mental health has been extensively studied, with one possible relationship…

Cognitive Behavioral Therapy (CBT) is an effective technique for addressing the irrational thoughts stemming from mental illnesses, but it necessitates precise identification of cognitive pathways to be successfully implemented in patient…

计算与语言 · 计算机科学 2024-04-18 Meng Jiang , Yi Jing Yu , Qing Zhao , Jianqiang Li , Changwei Song , Hongzhi Qi , Wei Zhai , Dan Luo , Xiaoqin Wang , Guanghui Fu , Bing Xiang Yang

Public concern detection provides potential guidance to the authorities for crisis management before or during a pandemic outbreak. Detecting people's concerns and attention from online social media platforms has been widely acknowledged as…

计算与语言 · 计算机科学 2021-06-21 Jingli Shi , Weihua Li , Sira Yongchareon , Yi Yang , Quan Bai

This paper describes our participation in the MentalRiskES task at IberLEF 2023. The task involved predicting the likelihood of an individual experiencing depression based on their social media activity. The dataset consisted of…

Suicide is a critical global health problem involving more than 700,000 deaths yearly, particularly among young adults. Many people express their suicidal thoughts on social media platforms such as Reddit. This paper evaluates the…

机器学习 · 计算机科学 2025-03-11 Khalid Hasan , Jamil Saquer

In 2015, 391,000 people were injured due to distracted driving in the US. One of the major reasons behind distracted driving is the use of cell-phones, accounting for 14% of fatal crashes. Social media applications have enabled users to…

社会与信息网络 · 计算机科学 2019-12-11 Hemank Lamba , Shashank Srikanth , Dheeraj Reddy Pailla , Shwetanshu Singh , Karandeep Juneja , Ponnurangam Kumaraguru

We present a computational approach for estimating emotion contagion on social media networks. Built on a foundation of psychology literature, our approach estimates the degree to which the perceivers' emotional states (positive or…

社会与信息网络 · 计算机科学 2022-07-18 Trisha Mittal , Puneet Mathur , Rohan Chandra , Apurva Bhatt , Vikram Gupta , Debdoot Mukherjee , Aniket Bera , Dinesh Manocha

Motivated with recent advances in inferring users' mental state in social media posts, we identify and formulate the problem of finding causal indicators behind mental illness in self-reported text. In the past, we witness the presence of…

计算与语言 · 计算机科学 2023-04-11 Muskan Garg

Depression is one of the most common mental health disorders, and a large number of depressed people commit suicide each year. Potential depression sufferers usually do not consult psychological doctors because they feel ashamed or are…

Stress is a nigh-universal human experience, particularly in the online world. While stress can be a motivator, too much stress is associated with many negative health outcomes, making its identification useful across a range of domains.…

计算与语言 · 计算机科学 2019-11-04 Elsbeth Turcan , Kathleen McKeown

Migraine is a high-prevalence and disabling neurological disorder. However, information migraine management in real-world settings could be limited to traditional health information sources. In this paper, we (i) verify that there is…

In the last decade, the United States has lost more than 500,000 people from an overdose involving prescription and illicit opioids making it a national public health emergency (USDHHS, 2017). Medical practitioners require robust and timely…

Support-seekers' self-disclosure of their suffering experiences, thoughts, and feelings in the post can help them get needed peer support in online mental health communities (OMHCs). However, such mental health self-disclosure could be…

人机交互 · 计算机科学 2024-09-24 Han Zhang , Jiaqi Zhang , Yuxiang Zhou , Ryan Louie , Taewook Kim , Qingyu Guo , Shuailin Li , Zhenhui Peng

The rate of terror attacks has surged over the past decade, resulting in the tragic and senseless loss or alteration of numerous lives. Offenders behind mass shootings, bombings, or other domestic terrorism incidents have historically…

社会与信息网络 · 计算机科学 2023-11-28 Alana Cedeno , Rachel Liang , Sheikh Rabiul Islam